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• Synthesis and characterization of electrospun polyvinyl alcohol nanofibrous scaffolds modified by blending with chitosan for neural tissue engineering
  Among several attempts to integrate tissue engineering concepts into strategies to repair different parts of the human body, neuronal repair stands as a challenging area due to the complexity of the structure and function of the nervous system and the low effi…
  openalex Masoud Mozafari, Fathollah Moztarzadeh, Jalali, Naghavi Alhosseini 等 2012-01-01 置信度 0.72 ChitosanPolyvinyl alcoholTissue engineeringBiocompatibilityNeural tissue engineering
• Thermoreversible laminin‐functionalized hydrogel for neural tissue engineering
  Traumatic injury to the central nervous system (CNS) triggers cell death and deafferentation, which may activate a cascade of cellular and network disturbances. These events often result in the formation of irregularly shaped lesions comprised of necrotic tiss…
  openalex Sarah E. Stabenfeldt, Andrés J. Garcı́a, Michelle C. LaPlaca 2006-03-22 置信度 0.72 Neural tissue engineeringScaffoldTissue engineeringMaterials scienceBiomedical engineering
• Graphene in the Design and Engineering of Next‐Generation Neural Interfaces
  Neural interfaces are becoming a powerful toolkit for clinical interventions requiring stimulation and/or recording of the electrical activity of the nervous system. Active implantable devices offer a promising approach for the treatment of various diseases af…
  openalex Kostas Kostarelos, Mélissa Vincent, Clément Hébert, José A. Garrido 2017-09-13 置信度 0.72 Interface (matter)BioelectronicsGrapheneMaterials scienceNanotechnology
• DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
  Learning sophisticated feature interactions behind user behaviors is critical in maximizing CTR for recommender systems. Despite great progress, existing methods seem to have a strong bias towards low- or high-order interactions, or require expertise feature e…
  openalex Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li 等 2017-07-28 置信度 0.72 Feature engineeringComputer scienceBenchmark (surveying)Feature (linguistics)Artificial intelligence
• Neural Networks and Artificial Intelligence for Biomedical Engineering
  From the Publisher: Using examples drawn from biomedicine and biomedical engineering, this reference text provides comprehensive coverage of all the major techniques currently available to build computer-assisted decision support systems. You will find practi…
  openalex Donna L. Hudson, Maurice E. Cohen 1999-01-01 置信度 0.72 Artificial neural networkComputer scienceArtificial intelligence
• Aligned and random nanofibrous substrate for the in vitro culture of Schwann cells for neural tissue engineering
  openalex Deepika Gupta, Jayarama Reddy Venugopal, Molamma P. Prabhakaran, V. R. Giri Dev 等 2009-02-10 置信度 0.72 GelatinMaterials scienceElectrospinningPolycaprolactoneTissue engineering
• Neural tissue engineering of the CNS using hydrogels
  Current therapies have limited capacity to curtail disease progression or damage of the central nervous system (CNS) of adult mammals and successful regeneration following injury or disease does not occur. Regeneration of the CNS is limited by physical and che…
  openalex David R. Nisbet, Kylie Crompton, Malcolm Horne, David I. Finkelstein 等 2007-12-27 置信度 0.72 Regeneration (biology)NeuroscienceCentral nervous systemTissue engineeringSelf-healing hydrogels
• 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)
  openalex 2017-01-01 置信度 0.72 Computer science
• Biomaterials for Neural Tissue Engineering
  The therapy of neural nerve injuries that involve the disruption of axonal pathways or axonal tracts has taken a new dimension with the development of tissue engineering techniques. When peripheral nerve injury (PNI), spinal cord injury (SCI), traumatic brain …
  openalex Laura Rodríguez Doblado, Cristina Martínez‐Ramos, Manuel Monleón Pradas 2021-04-26 置信度 0.72 Neural tissue engineeringTissue engineeringSpinal cord injuryScaffoldNeuroscience
• A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
  A convolutional neural network (CNN) is one of the most significant networks in the deep learning field. Since CNN made impressive achievements in many areas, including but not limited to computer vision and natural language processing, it attracted much atten…
  openalex Zewen Li, Fan Liu, Wenjie Yang, Shouheng Peng 等 2021-06-10 置信度 0.72 Convolutional neural networkComputer scienceData scienceArtificial intelligence
• Silk Hydrogels as Soft Substrates for Neural Tissue Engineering
  Abstract There is great need for soft biomaterials that match the stiffness of human tissues for tissue engineering and regeneration. Hydrogels are frequently employed for extracellular matrix functionalization and to provide appropriate mechanical cues. It is…
  openalex Amy M. Hopkins, Laura De Laporte, Federico Tortelli, Elise Spedden 等 2013-04-18 置信度 0.72 Self-healing hydrogelsSILKTissue engineeringMaterials scienceExtracellular matrix
• Neural Networks in Structural Engineering
  openalex R. D. VanLuchene, ROUFEI SUN 1990-09-01 置信度 0.72 Artificial neural networkNervous system network modelsComputer scienceArtificial intelligenceSimple (philosophy)
• A Neural Network Ensemble With Feature Engineering for Improved Credit Card Fraud Detection
  Recent advancements in electronic commerce and communication systems have significantly increased the use of credit cards for both online and regular transactions. However, there has been a steady rise in fraudulent credit card transactions, costing financial …
  openalex Ebenezer Esenogho, Ibomoiye Domor Mienye, Theo G. Swart, Kehinde Aruleba 等 2022-01-01 置信度 0.72 Credit card fraudComputer scienceCredit cardAdaBoostMachine learning
• A Deep Neural Network for Predicting and Engineering Alternative Polyadenylation
  openalex Nicholas Bogard, Johannes Linder, Alexander Rosenberg, Georg Seelig 2019-06-01 置信度 0.72 PolyadenylationBiologyComputational biologyArtificial neural networkGenetics
• Neural Control Engineering
  How powerful new methods in nonlinear control engineering can be applied to neuroscience, from fundamental model formulation to advanced medical applications.Over the past sixty years, powerful methods of model-based control engineering have been responsible f…
  openalex Steven J. Schiff 2011-01-01 置信度 0.72 Computational neuroscienceNeural engineeringNeuroscienceComputer scienceSystems neuroscience
• Graphene-Based Nanocomposites for Neural Tissue Engineering
  Graphene has made significant contributions to neural tissue engineering due to its electrical conductivity, biocompatibility, mechanical strength, and high surface area. However, it demonstrates a lack of biological and chemical cues. Also, it may cause poten…
  openalex Ho Pan Bei, Yuhe Yang, Qiang Zhang, Yu Tian 等 2019-02-13 置信度 0.72 GrapheneNeural tissue engineeringBiocompatibilityTissue engineeringRegeneration (biology)
• Neural stem cells encapsulated in a functionalized self-assembling peptide hydrogel for brain tissue engineering
  openalex Tzu-Yun Cheng, Ming‐Hong Chen, Wen‐Han Chang, Ming-Yuan Huang 等 2012-12-11 置信度 0.72 Self-assembling peptideNeural stem cellPeptideTissue engineeringSelf-healing hydrogels
• Biofabrication for neural tissue engineering applications
  Unlike other tissue types, the nervous tissue extends to a wide and complex environment that provides a plurality of different biochemical and topological stimuli, which in turn defines the advanced functions of that tissue. As a consequence of such complexity…
  openalex Lina Papadimitriou, Phanee Manganas, Anthi Ranella, Emmanuel Stratakis 2020-01-30 置信度 0.72 BiofabricationTissue engineeringNeural tissue engineeringComputer scienceBiochemical engineering
• 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)
  openalex 2021-01-01 置信度 0.72 Computer science
• Nanomaterials design and tests for neural tissue engineering
  Nanostructured scaffolds recently showed great promise in tissue engineering: nanomaterials can be tailored at the molecular level and scaffold morphology may more closely resemble features of extracellular matrix components in terms of porosity, framing and b…
  openalex Gloria A. A. Saracino, Daniela Cigognini, Diego Silva, Andréa Caprini 等 2012-09-19 置信度 0.72 ScaffoldNanotechnologyRegenerative medicineComputer scienceTissue engineering
• Engineering Optimization Theory and Practice
  Preface. 1 Introduction to Optimization. 1.1 Introduction. 1.2 Historical Development. 1.3 Engineering Applications of Optimization. 1.4 Statement of an Optimization Problem. 1.5 Classification of Optimization Problems. 1.6 Optimization Techniques. 1.7 Enginee…
  openalex Singiresu S. Rao 2019-10-22 置信度 0.72 Computer scienceEngineering ethicsManagement scienceEngineering
• NEURAL ENGINEERING TO PRODUCE IN VITRONERVE CONSTRUCTS AND NEUROINTERFACE
  OBJECTIVE: Recently, our laboratory recapitulated a natural form of axon growth that occurs between late embryogenesis and early adulthood. In this article, we describe how this novel neural engineering approach may be used to produce a nervous tissue interfac…
  openalex Bryan J. Pfister, Jason H. Huang, Niranjan Kameswaran, Eric L. Zager 等 2007-01-01 置信度 0.72 NeuroscienceNervous systemSensory systemEfferentCentral nervous system
• Neural networks for short-term load forecasting: a review and evaluation
  Load forecasting has become one of the major areas of research in electrical engineering, and most traditional forecasting models and artificial intelligence techniques have been tried out in this task. Artificial neural networks (NNs) have lately received muc…
  openalex Henrique S. Hippert, Carlos E. Pedreira, Reinaldo Castro Souza 2001-01-01 置信度 0.72 Artificial neural networkComputer scienceTerm (time)SkepticismTechnology forecasting
• Neural networks in financial engineering: a study in methodology
  Neural networks have shown considerable successes in modeling financial data series. However, a major weakness of neural modeling is the lack of established procedures for performing tests for misspecified models, and tests of statistical significance for the …
  openalex Apostolos P. Refenes, Andrew N. Burgess, Y. Bentz 1997-11-01 置信度 0.72 Computer scienceArtificial neural networkCointegrationEconometricsStatistical hypothesis testing
• Piezoelectric Scaffolds as Smart Materials for Neural Tissue Engineering
  Injury to the central or peripheral nervous systems leads to the loss of cognitive and/or sensorimotor capabilities, which still lacks an effective treatment. Tissue engineering in the post-injury brain represents a promising option for cellular replacement an…
  openalex Angelika Zaszczyńska, Paweł Sajkiewicz, Arkadiusz Gradys 2020-01-08 置信度 0.72 Neural tissue engineeringTissue engineeringScaffoldComputer scienceBrain tissue
• Morescient GAI for Software Engineering (Extended Version)
  The ability of Generative AI (GAI) technology to automatically check, synthesize and modify software engineering artifacts promises to revolutionize all aspects of software engineering. Using GAI for software engineering tasks is consequently one of the most r…
  arxiv Marcus Kessel, Colin Atkinson 2024-06-07T07:38:33Z 置信度 0.78 cs.SEcs.AI
• The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theory
  Artificial Intelligence and Machine learning have been widely used in various fields of mathematical computing, physical modeling, computational science, communication science, and stochastic analysis. Approaches based on Deep Artificial Neural Networks (DANN)…
  arxiv Sergey Oladyshkin, Timothy Praditia, Ilja Kröker, Farid Mohammadi 等 2023-06-26T15:09:14Z 置信度 0.78 cs.NEstat.ML
• A Tutorial about Random Neural Networks in Supervised Learning
  Random Neural Networks (RNNs) are a class of Neural Networks (NNs) that can also be seen as a specific type of queuing network. They have been successfully used in several domains during the last 25 years, as queuing networks to analyze the performance of reso…
  arxiv Sebastián Basterrech, Gerardo Rubino 2016-09-15T20:21:30Z 置信度 0.78 cs.NE
• Web Engineering
  Web Engineering is the application of systematic, disciplined and quantifiable approaches to development, operation, and maintenance of Web-based applications. It is both a pro-active approach and a growing collection of theoretical and empirical research in W…
  arxiv Yogesh Deshpande, San Murugesan, Athula Ginige, Steve Hansen 等 2003-06-18T03:13:44Z 置信度 0.78 cs.SE
• Cognitive Biases in Software Engineering: A Systematic Mapping Study
  One source of software project challenges and failures is the systematic errors introduced by human cognitive biases. Although extensively explored in cognitive psychology, investigations concerning cognitive biases have only recently gained popularity in soft…
  arxiv Rahul Mohanani, Iflaah Salman, Burak Turhan, Pilar Rodriguez 等 2017-07-12T19:05:19Z 置信度 0.78 cs.SE
• Software Engineering for Collective Cyber-Physical Ecosystems
  Today's distributed and pervasive computing addresses large-scale cyber-physical ecosystems, characterised by dense and large networks of devices capable of computation, communication and interaction with the environment and people. While most research focusse…
  arxiv Roberto Casadei, Gianluca Aguzzi, Giorgio Audrito, Ferruccio Damiani 等 2024-06-07T09:28:22Z 置信度 0.78 cs.SEcs.AIcs.DCcs.MAeess.SY
• An Automated Compatibility Prediction Engine using DISC Theory Based Classification and Neural Networks
  Traditionally psychometric tests were used for profiling incoming workers. These methods use DISC profiling method to classify people into distinct personality types, which are further used to predict if a person may be a possible fit to the organizational cul…
  arxiv Chandrasekaran Anirudh Bhardwaj, Megha Mishra, Sweetlin Hemalatha 2017-09-02T06:38:12Z 置信度 0.78 cs.AIcs.NE
• Software Engineering in Civic Tech: A Case Study about Code for Ireland
  Civic grassroots have proven their ability to create useful and scalable software that addresses pressing social needs. Although software engineering plays a fundamental role in the process of creating civic technology, academic literature that analyses the so…
  arxiv Antti Knutas, Victoria Palacin, Giovanni Maccani, Markus Helfert 2019-04-08T14:53:37Z 置信度 0.78 cs.SE
• A Study about the Knowledge and Use of Requirements Engineering Standards in Industry
  Context: The use of standards is considered a vital part of any engineering discipline. So one could expect that standards play an important role in Requirements Engineering (RE) as well. However, little is known about the actual knowledge and use of RE-relate…
  arxiv Xavier Franch, Martin Glinz, Daniel Mendez, Norbert Seyff 2021-05-28T16:31:25Z 置信度 0.78 cs.SE
• How do Practitioners Perceive the Relevance of Requirements Engineering Research?
  The relevance of Requirements Engineering (RE) research to practitioners is vital for a long-term dissemination of research results to everyday practice. Some authors have speculated about a mismatch between research and practice in the RE discipline. However,…
  arxiv Xavier Franch, Daniel Mendez, Andreas Vogelsang, Rogardt Heldal 等 2020-11-10T14:09:26Z 置信度 0.78 cs.SE
• The Future of AI-Driven Software Engineering
  A paradigm shift is underway in Software Engineering, with AI systems such as LLMs playing an increasingly important role in boosting software development productivity. This trend is anticipated to persist. In the next years, we expect a growing symbiotic part…
  arxiv Valerio Terragni, Annie Vella, Partha Roop, Kelly Blincoe 2024-06-11T21:46:19Z 置信度 0.78 cs.SEcs.AIcs.LGcs.PL
• Towards Digital Engineering -- The Advent of Digital Systems Engineering
  Digital Engineering, the digital transformation of engineering to leverage digital technologies, is coming globally. This paper explores digital systems engineering, which aims at developing theory, methods, models, and tools to support the emerging digital en…
  arxiv Jingwei Huang, Adrian Gheorghe, Holly Handley, Pilar Pazos 等 2020-02-21T04:58:20Z 置信度 0.78 cs.CY
• An Exploratory Study of V-Model in Building ML-Enabled Software: A Systems Engineering Perspective
  Machine learning (ML) components are being added to more and more critical and impactful software systems, but the software development process of real-world production systems from prototyped ML models remains challenging with additional complexity and interd…
  arxiv Jie JW Wu 2023-08-10T06:53:32Z 置信度 0.78 cs.SE
• Text and Team: What Article Metadata Characteristics Drive Citations in Software Engineering?
  Context: Citations are a key measure of scientific performance in most fields, including software engineering. However, there is limited research that studies which characteristics of articles' metadata (title, abstract, keywords, and author list) are driving …
  arxiv Lorenz Graf-Vlachy, Daniel Graziotin, Stefan Wagner 2022-04-12T18:39:11Z 置信度 0.78 cs.SE
• What Does a Software Engineer Look Like? Exploring Societal Stereotypes in LLMs
  Large language models (LLMs) have rapidly gained popularity and are being embedded into professional applications due to their capabilities in generating human-like content. However, unquestioned reliance on their outputs and recommendations can be problematic…
  arxiv Muneera Bano, Hashini Gunatilake, Rashina Hoda 2025-01-07T06:44:41Z 置信度 0.78 cs.SE
• Nmag micromagnetic simulation tool - software engineering lessons learned
  We review design and development decisions and their impact for the open source code Nmag from a software engineering in computational science point of view. We summarise lessons learned and recommendations for future computational science projects. Key lesson…
  arxiv Hans Fangohr, Maximilian Albert, Matteo Franchin 2016-01-27T14:46:56Z 置信度 0.78 cs.SEphysics.comp-ph
• Physics-Informed Neural Network for the Transient Diffusivity Equation in Reservoir Engineering
  Physics-Informed machine learning models have recently emerged with some interesting and unique features that can be applied to reservoir engineering. In particular, physics-informed neural networks (PINN) leverage the fact that neural networks are a type of u…
  arxiv Daniel Badawi, Eduardo Gildin 2023-09-29T15:52:04Z 置信度 0.78 physics.flu-dyn
• Engineering Tagging Languages for DSLs
  To keep a DSL clean, readable and reusable in different contexts, it is useful to define a separate tagging language. A tag model logically adds information to the tagged DSL model while technically keeping the artifacts separated. Using a generic tagging lang…
  arxiv Timo Greifenberg, Markus Look, Sebastian Roidl, Bernhard Rumpe 2016-06-16T09:41:31Z 置信度 0.78 cs.SE
• Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks
  Providing a model that achieves a strong predictive performance and is simultaneously interpretable by humans is one of the most difficult challenges in machine learning research due to the conflicting nature of these two objectives. To address this challenge,…
  arxiv Danny D'Agostino, Ilija Ilievski, Christine Annette Shoemaker 2023-07-11T09:54:30Z 置信度 0.78 cs.LGcs.AIcs.NEstat.ML
• Hierarchical Attentional Hybrid Neural Networks for Document Classification
  Document classification is a challenging task with important applications. The deep learning approaches to the problem have gained much attention recently. Despite the progress, the proposed models do not incorporate the knowledge of the document structure in …
  arxiv Jader Abreu, Luis Fred, David Macêdo, Cleber Zanchettin 2019-01-20T01:48:43Z 置信度 0.78 cs.CLcs.AIcs.LGcs.NE
• A Neural Network-Evolutionary Computational Framework for Remaining Useful Life Estimation of Mechanical Systems
  This paper presents a framework for estimating the remaining useful life (RUL) of mechanical systems. The framework consists of a multi-layer perceptron and an evolutionary algorithm for optimizing the data-related parameters. The framework makes use of a stri…
  arxiv David Laredo, Zhaoyin Chen, Oliver Schütze, Jian-Qiao Sun 2019-05-15T02:31:45Z 置信度 0.78 cs.LGcs.NEstat.ML
• Development of a sensory-neural network for medical diagnosing
  Performance of a sensory-neural network developed for diagnosing of diseases is described. Information about patient's condition is provided by answers to the questionnaire. Questions correspond to sensors generating signals when patients acknowledge symptoms.…
  arxiv Igor Grabec, Eva Švegl, Mihael Sok 2018-07-06T16:30:53Z 置信度 0.78 cs.NE
• Status Quo in Requirements Engineering: A Theory and a Global Family of Surveys
  Requirements Engineering (RE) has established itself as a software engineering discipline during the past decades. While researchers have been investigating the RE discipline with a plethora of empirical studies, attempts to systematically derive an empiricall…
  arxiv Stefan Wagner, Daniel Méndez Fernández, Michael Felderer, Antonio Vetró 等 2018-05-21T08:57:22Z 置信度 0.78 cs.SE
• A Complexity measure based on Requirement Engineering Document
  Research shows, that the major issue in development of quality software is precise estimation. Further this estimation depends upon the degree of intricacy inherent in the software i.e. complexity. This paper attempts to empirically demonstrate the proposed co…
  arxiv Ashish Sharma, D. S. Kushwaha 2010-06-14T20:17:55Z 置信度 0.78 cs.SE
• A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder
  This survey presents the most relevant neural network models of autism spectrum disorder and schizophrenia, from the first connectionist models to recent deep network architectures. We analyzed and compared the most representative symptoms with its neural mode…
  arxiv Pablo Lanillos, Daniel Oliva, Anja Philippsen, Yuichi Yamashita 等 2019-06-24T15:10:44Z 置信度 0.78 q-bio.NCcs.AIcs.NE
• Neural Networks and Schramm-Loewner Evolutions
  In this manuscript, we explore the application of neural networks to predict the natural parameter $κ\geq 0$ of Schramm-Loewner Evolution (SLE$_κ$) theory. SLE$_κ$ is a family of random fractal curves that has significant implications in Statistical Mechanics …
  arxiv Neilesh Shrotri, Vlad Margarint 2026-06-01T17:51:45Z 置信度 0.78 cond-mat.dis-nnmath.PR
• Multilingual Crowd-Based Requirements Engineering Using Large Language Models
  A central challenge for ensuring the success of software projects is to assure the convergence of developers' and users' views. While the availability of large amounts of user data from social media, app store reviews, and support channels bears many benefits,…
  arxiv Arthur Pilone, Paulo Meirelles, Fabio Kon, Walid Maalej 2024-08-12T21:40:39Z 置信度 0.78 cs.SE
• Exploration of Evolving Quantum Key Distribution Network Architecture Using Model-Based Systems Engineering
  Realisation of significant advances in capabilities of sensors, computing, timing, and communication enabled by quantum technologies is dependent on engineering highly complex systems that integrate quantum devices into existing classical infrastructure. A sys…
  arxiv Hayato Ishida, Amal Elsokary, Maria Aslam, Catherine White 等 2025-08-21T17:21:03Z 置信度 0.78 cs.ETcs.SEquant-ph
• How transferable are features in deep neural networks?
  Many deep neural networks trained on natural images exhibit a curious phenomenon in common: on the first layer they learn features similar to Gabor filters and color blobs. Such first-layer features appear not to be specific to a particular dataset or task, bu…
  arxiv Jason Yosinski, Jeff Clune, Yoshua Bengio, Hod Lipson 2014-11-06T23:09:37Z 置信度 0.78 cs.LGcs.NE
• Towards Dropout Training for Convolutional Neural Networks
  Recently, dropout has seen increasing use in deep learning. For deep convolutional neural networks, dropout is known to work well in fully-connected layers. However, its effect in convolutional and pooling layers is still not clear. This paper demonstrates tha…
  arxiv Haibing Wu, Xiaodong Gu 2015-12-01T12:46:11Z 置信度 0.78 cs.LGcs.CVcs.NE
• Foundation Model Engineering: Engineering Foundation Models Just as Engineering Software
  By treating data and models as the source code, Foundation Models (FMs) become a new type of software. Mirroring the concept of software crisis, the increasing complexity of FMs making FM crisis a tangible concern in the coming decade, appealing for new theori…
  arxiv Dezhi Ran, Mengzhou Wu, Wei Yang, Tao Xie 2024-07-11T04:40:02Z 置信度 0.78 cs.SEcs.AIcs.LG
• Bridging the Gap: Adapting Evidence to Decision Frameworks to support the link between Software Engineering academia and industry
  Over twenty years ago, the Software Engineering (SE) research community have been involved with Evidence-Based Software Engineering (EBSE). EBSE aims to inform industrial practice with the best evidence from rigorous research, preferably from systematic litera…
  arxiv Patricia G. F. Matsubara, Tayana Conte 2026-02-08T15:30:19Z 置信度 0.78 cs.SE
• Acute Lymphoblastic Leukemia Detection Using Hypercomplex-Valued Convolutional Neural Networks
  This paper features convolutional neural networks defined on hypercomplex algebras applied to classify lymphocytes in blood smear digital microscopic images. Such classification is helpful for the diagnosis of acute lymphoblast leukemia (ALL), a type of blood …
  arxiv Guilherme Vieira, Marcos Eduardo Valle 2022-05-26T11:16:34Z 置信度 0.78 cs.CVcs.LGcs.NEeess.IV
• Supporting Defect Causal Analysis in Practice with Cross-Company Data on Causes of Requirements Engineering Problems
  [Context] Defect Causal Analysis (DCA) represents an efficient practice to improve software processes. While knowledge on cause-effect relations is helpful to support DCA, collecting cause-effect data may require significant effort and time. [Goal] We propose …
  arxiv Marcos Kalinowski, Pablo Curty, Aline Paes, Alexandre Ferreira 等 2017-02-13T16:14:30Z 置信度 0.78 cs.SE
• Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks
  Spiking Neural Network (SNN), as a brain-inspired approach, is attracting attention due to its potential to produce ultra-high-energy-efficient hardware. Competitive learning based on Spike-Timing-Dependent Plasticity (STDP) is a popular method to train an uns…
  arxiv Mingyuan Meng, Xingyu Yang, Shanlin Xiao, Zhiyi Yu 2020-01-29T05:40:29Z 置信度 0.78 cs.NEcs.LGq-bio.NC
• Implementing a Bayes Filter in a Neural Circuit: The Case of Unknown Stimulus Dynamics
  In order to interact intelligently with objects in the world, animals must first transform neural population responses into estimates of the dynamic, unknown stimuli which caused them. The Bayesian solution to this problem is known as a Bayes filter, which app…
  arxiv Sacha Sokoloski 2015-12-22T14:52:14Z 置信度 0.78 cs.LGstat.ML
• Assured LLM-Based Software Engineering
  In this paper we address the following question: How can we use Large Language Models (LLMs) to improve code independently of a human, while ensuring that the improved code - does not regress the properties of the original code? - improves the original in a ve…
  arxiv Nadia Alshahwan, Mark Harman, Inna Harper, Alexandru Marginean 等 2024-02-06T20:38:46Z 置信度 0.78 cs.SE
• Do Kernel and Neural Embeddings Help in Training and Generalization?
  Recent results on optimization and generalization properties of neural networks showed that in a simple two-layer network, the alignment of the labels to the eigenvectors of the corresponding Gram matrix determines the convergence of the optimization during tr…
  arxiv Arman Rahbar, Emilio Jorge, Devdatt Dubhashi, Morteza Haghir Chehreghani 2019-05-13T15:38:38Z 置信度 0.78 cs.LGcs.AIstat.ML
• A Mosaic of Perspectives: Understanding Ownership in Software Engineering
  Agile software development relies on self-organized teams, underlining the importance of individual responsibility. How developers take responsibility and build ownership are influenced by external factors such as architecture and development methods. This pap…
  arxiv Tomi Suomi, Petri Ihantola, Tommi Mikkonen, Niko Mäkitalo 2025-05-20T11:27:33Z 置信度 0.78 cs.SE
• PHANTOM: Curating GitHub for engineered software projects using time-series clustering
  Context: Within the field of Mining Software Repositories, there are numerous methods employed to filter datasets in order to avoid analysing low-quality projects. Unfortunately, the existing filtering methods have not kept up with the growth of existing data …
  arxiv Peter Pickerill, Heiko Joshua Jungen, Miroslaw Ochodek, Miroslaw Staron 2019-04-25T06:09:11Z 置信度 0.78 cs.SE
• The Scalability-Efficiency/Maintainability-Portability Trade-off in Simulation Software Engineering: Examples and a Preliminary Systematic Literature Review
  Large-scale simulations play a central role in science and the industry. Several challenges occur when building simulation software, because simulations require complex software developed in a dynamic construction process. That is why simulation software engin…
  arxiv Dirk Pflüger, Miriam Mehl, Julian Valentin, Florian Lindner 等 2016-08-15T17:31:46Z 置信度 0.78 cs.SEcs.DC
• Insights from the Frontline: GenAI Utilization Among Software Engineering Students
  Generative AI (genAI) tools (e.g., ChatGPT, Copilot) have become ubiquitous in software engineering (SE). As SE educators, it behooves us to understand the consequences of genAI usage among SE students and to create a holistic view of where these tools can be …
  arxiv Rudrajit Choudhuri, Ambareesh Ramakrishnan, Amreeta Chatterjee, Bianca Trinkenreich 等 2024-12-20T07:30:51Z 置信度 0.78 cs.HCcs.SE
• Socio-Technical Grounded Theory for Software Engineering
  Grounded Theory (GT), a sociological research method designed to study social phenomena, is increasingly being used to investigate the human and social aspects of software engineering (SE). However, being written by and for sociologists, GT is often challengin…
  arxiv Rashina Hoda 2021-03-26T02:49:20Z 置信度 0.78 cs.SE
• Empirical Studies on Adversarial Reverse Engineering with Students
  Empirical research in reverse engineering and software protection is crucial for evaluating the efficacy of methods designed to protect software against unauthorized access and tampering. However, conducting such studies with professional reverse engineers pre…
  arxiv Tab, Zhang, Bjorn De Sutter, Christian Collberg 等 2026-03-04T09:27:46Z 置信度 0.78 cs.SE
• Optimizing Neural Networks via Koopman Operator Theory
  Koopman operator theory, a powerful framework for discovering the underlying dynamics of nonlinear dynamical systems, was recently shown to be intimately connected with neural network training. In this work, we take the first steps in making use of this connec…
  arxiv Akshunna S. Dogra, William T Redman 2020-06-03T16:23:07Z 置信度 0.78 cs.NEeess.SPmath.DSphysics.comp-ph
• A Prototype-Based Neural Network for Image Anomaly Detection and Localization
  Image anomaly detection and localization perform not only image-level anomaly classification but also locate pixel-level anomaly regions. Recently, it has received much research attention due to its wide application in various fields. This paper proposes Proto…
  arxiv Chao Huang, Zhao Kang, Hong Wu 2023-10-04T04:27:16Z 置信度 0.78 cs.CV
• Adversarial Frontier Stitching for Remote Neural Network Watermarking
  The state of the art performance of deep learning models comes at a high cost for companies and institutions, due to the tedious data collection and the heavy processing requirements. Recently, [35, 22] proposed to watermark convolutional neural networks for i…
  arxiv Erwan Le Merrer, Patrick Perez, Gilles Trédan 2017-11-06T13:57:08Z 置信度 0.78 cs.CR
• Existence and Global Logarithmic Stability of Impulsive Neural Networks with Time Delay
  The stability and convergence of the neural networks are the fundamental characteristics in the Hopfield type networks. Since time delay is ubiquitous in most physical and biological systems, more attention is being made for the delayed neural networks. The in…
  arxiv A. K. Ojha, Dushmanta Mallick, C. Mallick 2010-02-05T09:20:51Z 置信度 0.78 cs.NE
• Masked Conditional Neural Networks for Audio Classification
  We present the ConditionaL Neural Network (CLNN) and the Masked ConditionaL Neural Network (MCLNN) designed for temporal signal recognition. The CLNN takes into consideration the temporal nature of the sound signal and the MCLNN extends upon the CLNN through a…
  arxiv Fady Medhat, David Chesmore, John Robinson 2018-03-06T20:54:00Z 置信度 0.78 stat.MLcs.LGcs.SDeess.AS
• Beam Search Strategies for Neural Machine Translation
  The basic concept in Neural Machine Translation (NMT) is to train a large Neural Network that maximizes the translation performance on a given parallel corpus. NMT is then using a simple left-to-right beam-search decoder to generate new translations that appro…
  arxiv Markus Freitag, Yaser Al-Onaizan 2017-02-06T22:08:46Z 置信度 0.78 cs.CL
• Continual Learning for Recurrent Neural Networks: an Empirical Evaluation
  Learning continuously during all model lifetime is fundamental to deploy machine learning solutions robust to drifts in the data distribution. Advances in Continual Learning (CL) with recurrent neural networks could pave the way to a large number of applicatio…
  arxiv Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu 2021-03-12T19:25:28Z 置信度 0.78 cs.LGcs.AI
• Predicting concentration levels of air pollutants by transfer learning and recurrent neural network
  Air pollution (AP) poses a great threat to human health, and people are paying more attention than ever to its prediction. Accurate prediction of AP helps people to plan for their outdoor activities and aids protecting human health. In this paper, long-short t…
  arxiv Iat Hang Fong, Tengyue Li, Simon Fong, Raymond K. Wong 等 2025-01-30T23:39:19Z 置信度 0.78 cs.LGcs.NEphysics.ao-ph
• Neural Unsigned Distance Fields for Implicit Function Learning
  In this work we target a learnable output representation that allows continuous, high resolution outputs of arbitrary shape. Recent works represent 3D surfaces implicitly with a Neural Network, thereby breaking previous barriers in resolution, and ability to r…
  arxiv Julian Chibane, Aymen Mir, Gerard Pons-Moll 2020-10-26T22:49:45Z 置信度 0.78 cs.CVcs.LG
• Promptware Engineering: Software Engineering for Prompt-Enabled Systems
  Large Language Models (LLMs) are increasingly integrated into software applications, giving rise to a broad class of prompt-enabled systems, in which prompts serve as the primary 'programming' interface for guiding system behavior. Building on this trend, a ne…
  arxiv Zhenpeng Chen, Chong Wang, Weisong Sun, Xuanzhe Liu 等 2025-03-04T08:43:16Z 置信度 0.78 cs.SE
• Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering
  The rapid emergence of generative AI models like Large Language Models (LLMs) has demonstrated its utility across various activities, including within Requirements Engineering (RE). Ensuring the quality and accuracy of LLM-generated output is critical, with pr…
  arxiv Krishna Ronanki, Simon Arvidsson, Johan Axell 2025-07-04T09:13:50Z 置信度 0.78 cs.SE
• Towards A Sustainable Future for Peer Review in Software Engineering
  Peer review is the main mechanism by which the software engineering community assesses the quality of scientific results. However, the rapid growth of paper submissions in software engineering venues has outpaced the availability of qualified reviewers, creati…
  arxiv Esteban Parra, Sonia Haiduc, Preetha Chatterjee, Ramtin Ehsani 等 2026-01-29T14:14:44Z 置信度 0.78 cs.SE
• On the use of generative deep neural networks to synthesize artificial multichannel EEG signals
  Recent promises of generative deep learning lately brought interest to its potential uses in neural engineering. In this paper we firstly review recently emerging studies on generating artificial electroencephalography (EEG) signals with deep neural networks. …
  arxiv Ozan Ozdenizci, Deniz Erdogmus 2021-02-16T10:18:08Z 置信度 0.78 eess.SPcs.AI
• "ENERGY STAR" LLM-Enabled Software Engineering Tools
  The discussion around AI-Engineering, that is, Software Engineering (SE) for AI-enabled Systems, cannot ignore a crucial class of software systems that are increasingly becoming AI-enhanced: Those used to enable or support the SE process, such as Computer-Aide…
  arxiv Himon Thakur, Armin Moin 2026-01-27T06:40:57Z 置信度 0.78 cs.SE
• A Fast, robust algorithm for power line interference cancellation in neural recording
  Power line interference may severely corrupt neural recordings at 50/60 Hz and harmonic frequencies. In this paper, we present a robust and computationally efficient algorithm for removing power line interference from neural recordings. The algorithm includes …
  arxiv Mohammad Reza Keshtkaran, Zhi Yang 2014-02-27T11:27:17Z 置信度 0.78 eess.SYphysics.med-ph
• Artificial neural networks in calibration of nonlinear mechanical models
  Rapid development in numerical modelling of materials and the complexity of new models increases quickly together with their computational demands. Despite the growing performance of modern computers and clusters, calibration of such models from noisy experime…
  arxiv Tomáš Mareš, Eliška Janouchová, Anna Kučerová 2015-02-04T22:24:35Z 置信度 0.78 cs.NEcs.CE
• Structure Preserving Transformations for Practical Model-based Systems Engineering
  In this third decade of systems engineering in the twenty-first century, it is important to develop and demonstrate practical methods to exploit machine-readable models in the engineering of systems. Substantial investment has been made in languages and modell…
  arxiv Siyuan Ji, Michael Wilkinson, Charles E. Dickerson 2022-09-16T13:52:31Z 置信度 0.78 cs.SE
• Powerset Convolutional Neural Networks
  We present a novel class of convolutional neural networks (CNNs) for set functions, i.e., data indexed with the powerset of a finite set. The convolutions are derived as linear, shift-equivariant functions for various notions of shifts on set functions. The fr…
  arxiv Chris Wendler, Dan Alistarh, Markus Püschel 2019-09-05T08:08:40Z 置信度 0.78 cs.LGstat.ML
• Maintaining the Heterogeneity in the Organization of Software Engineering Research
  The heterogeneity in the organization of software engineering (SE) research historically exists, i.e., funded research model and hands-on model, which makes software engineering become a thriving interdisciplinary field in the last 50 years. However, the funde…
  arxiv Yang Yue, Zheng Jiang, Yi Wang 2026-02-03T04:34:59Z 置信度 0.78 cs.SE
• Encoding binary neural codes in networks of threshold-linear neurons
  Networks of neurons in the brain encode preferred patterns of neural activity via their synaptic connections. Despite receiving considerable attention, the precise relationship between network connectivity and encoded patterns is still poorly understood. Here …
  arxiv Carina Curto, Anda Degeratu, Vladimir Itskov 2012-11-30T22:43:11Z 置信度 0.78 q-bio.NCmath.COmath.MG
• Exoplanet formation inference using conditional invertible neural networks
  The interpretation of the origin of observed exoplanets is usually done only qualitatively due to uncertainties of key parameters in planet formation models. To allow a quantitative methodology which traces back in time to the planet birth locations, we train …
  arxiv Remo Burn, Victor F. Ksoll, Hubert Klahr, Thomas Henning 2025-12-05T14:38:34Z 置信度 0.78 astro-ph.EPcs.NEphysics.data-an
• Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps
  For decades, much software engineering research has been dedicated to devising automated solutions aimed at enhancing developer productivity and elevating software quality. The past two decades have witnessed an unparalleled surge in the development of intelli…
  arxiv David Lo 2023-09-08T05:53:24Z 置信度 0.78 cs.SEcs.AI
• A First Look at Bugs in LLM Inference Engines
  Large language model-specific inference engines (in short as \emph{LLM inference engines}) have become a fundamental component of modern AI infrastructure, enabling the deployment of LLM-powered applications (LLM apps) across cloud and local devices. Despite t…
  arxiv Mugeng Liu, Siqi Zhong, Weichen Bi, Yixuan Zhang 等 2025-06-11T13:25:36Z 置信度 0.78 cs.SE
• Optimal hierarchical modular topologies for producing limited sustained activation of neural networks
  An essential requirement for the representation of functional patterns in complex neural networks, such as the mammalian cerebral cortex, is the existence of stable regimes of network activation, typically arising from a limited parameter range. In this range …
  arxiv Marcus Kaiser, Claus C. Hilgetag 2010-03-16T05:13:41Z 置信度 0.78 q-bio.NCcond-mat.dis-nnphysics.soc-ph
• How Software Engineering Research Overlooks Local Industry: A Smaller Economy Perspective
  The software engineering researchers from countries with smaller economies, particularly non-English speaking ones, represent valuable minorities within the software engineering community. As researchers from Poland, we represent such a country. We analyzed th…
  arxiv Klara Borowa, Andrzej Zalewski, Lech Madeyski 2026-01-28T08:47:22Z 置信度 0.78 cs.SE
• Read, Extract, Classify: A Tool for Smarter Requirements Engineering
  This paper presents the ReXCL tool, which automates the extraction and classification processes in requirements engineering, enhancing the software development life-cycle. The tool features two main modules: Extraction, which processes raw requirement document…
  arxiv Paheli Bhattacharya, Manojit Chakraborty, Santhosh Kumar Arumugam, Rishabh Gupta 2026-05-11T09:52:27Z 置信度 0.78 cs.SEcs.AIcs.LG
• Ethics of Care for Software Engineering
  Software engineering researchers repeatedly argue that the impact of their research on industrial practice, while desired and intended, is rarely achieved. We believe that a possible explanation of this phenomenon is the opposition of "caring about" and "carin…
  arxiv Alexander Serebrenik, Sebastian Baltes 2026-01-23T20:16:00Z 置信度 0.78 cs.SE
• Quantum Software Engineering and Potential of Quantum Computing in Software Engineering Research: A Review
  Research in software engineering is essential for improving development practices, leading to reliable and secure software. Leveraging the principles of quantum physics, quantum computing has emerged as a new computational paradigm that offers significant adva…
  arxiv Ashis Kumar Mandal, Md Nadim, Chanchal K. Roy, Banani Roy 等 2025-02-13T03:22:36Z 置信度 0.78 cs.SE
• Bionic ankle–foot prosthesis normalizes walking gait for persons with leg amputation
  Over time, leg prostheses have improved in design, but have been incapable of actively adapting to different walking velocities in a manner comparable to a biological limb. People with a leg amputation using such commercially available passive-elastic prosthes…
  crossref Hugh M. Herr, Alena M. Grabowski 2011-07-13T13:14:01Z 置信度 0.70
• Four Extremity Amputation and Bionic Prosthesis Supply after Disseminated Intravascular Coagulation: A Follow-Up on Functionality and Quality of Life after Bionic Prosthesis Supply.
  Background Disseminated intravascular coagulopathy (DIC) is a rare symptom complex that causes embolisms within the microvasculature and extensive necrosis of the skin and the acres. During surgical decision-making, preserving functionally important structures…
  europepmc 2019 置信度 0.80
• Walking Ankle Biomechanics of Individuals With Transtibial Amputations Using a Prescribed Prosthesis and a Portable Bionic Prosthesis Under Myoelectric Control.
  Individuals with transtibial amputation can activate residual limb muscles to volitionally control robotic ankle prostheses for walking and postural control. Most continuous myoelectric ankle prostheses have used a tethered, pneumatic device. The Open Source L…
  europepmc 2024 置信度 0.80