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• Covariance-driven consistency and MMD complementarity with hybrid graph for multi-view clustering.
  The key to multi-view clustering lies in effectively learning a high-quality unified representation that simultaneously captures both the consistent structural relationships across views and the complementary information specific to each view. To achieve this …
  europepmc 2026 置信度 0.80
• MHCmet: A neural network based epitope prediction tool for orthohantaviruses.
  Identification of peptide immunogens in a pathogen proteome can help to develop diagnostic kits, therapeutics, and preventive vaccines. Traditional methods for identifying such peptides are often laborious, time-consuming, and resource intensive, resulting in …
  europepmc 2026 置信度 0.80
• Modelling and computational optimization of different neural network architectures for prediction of depth of cut in abrasive water jet machining of Ti6Al4V.
  The current work presents an optimized neural network for predicting depth of cut (DoC) in the abrasive water jet machining (AWJM) of Titanium Ti6Al4V Grade 5 material. Five process parameters were used for experimentation i.e., water pressure (W p ), traverse…
  europepmc 2026 置信度 0.80
• The curriculum effect in visual learning: The role of readout dimensionality.
  Generalization of visual perceptual learning (VPL) to unseen conditions varies across tasks. Previous work suggests that training curriculum may be integral to generalization, yet a theoretical explanation is lacking. We propose an explanatory theory of visual…
  europepmc 2026 置信度 0.80
• MIP-Net: Multi-scale inverted pyramid network with local adaptive contrast for underwater object detection.
  Underwater objects often suffer from severe visual degradation, including strong background noise induced by water impurities, blurred boundaries caused by optical scattering, and small object suppression in complex environments. These factors collectively pos…
  europepmc 2026 置信度 0.80
• Deep learning for image inpainting: A taxonomy, review, and future directions.
  Image inpainting reconstructs missing regions in images using contextual information, with applications spanning digital restoration, medical imaging, and content editing. Advances in deep learning have shifted from simple convolutional methods to sophisticate…
  europepmc 2026 置信度 0.80
• Injecting reasoning into vision-language models via weight-decomposed merging.
  Model merging offers a promising training-free paradigm for integrating capabilities across pretrained models. While recent advances have demonstrated that merging large language models (LLMs) into vision-language models (VLMs) can endow them with reasoning ab…
  europepmc 2026 置信度 0.80
• A unified machine-learning framework for ab initio multiscale modeling of liquids.
  Understanding and predicting the behavior of liquid matter across length scales-using only the microscopic interactions encoded in the Schrödinger equation-remains a central challenge in the physical sciences. Achieving this goal requires not only an accurate …
  europepmc 2026 置信度 0.80
• Zero-shot cross-domain image composition via self attention injection.
  Leveraging the robust generative priors of diffusion models, image composition has achieved remarkable progress. However, existing approaches continue to grapple with a persistent dilemma: the trade-off between maintaining the structural fidelity of the source…
  europepmc 2026 置信度 0.80
• Multi-scale Fourier network for all-in-one adverse weather removal of power line aerial image.
  High-quality UAV-based aerial imagery is essential for reliable autonomous power line inspection. However, adverse weather conditions, such as haze, rain and snow, often degrade image clarity and hinder downstream analysis. This paper presents a Multi-scale Fo…
  europepmc 2026 置信度 0.80
• Neural synchrony and cognitive map formulation in collaborative navigation: leader-follower couplings revealed by EEG hyperscanning.
  This study aims to address a theoretical gap in how people formulate cognitive maps in a social context. The concept of a cognitive map, a mental representation of spatial relations, has been widely used to explain individual navigation. When navigating with o…
  europepmc 2026 置信度 0.80
• Mechanistic drivers of platinum dissolution in neural prosthetic electrode pulsing: decoupling electrochemistry, biological interfaces, and electrode degradation products.
  Objective . This study evaluated electrochemical and biological factors governing Pt dissolution in neural prosthetic electrodes. Implantable neuromodulation devices rely on platinum (Pt) electrodes for safe and effective operation. However, accumulating evide…
  europepmc 2026 置信度 0.80
• Neural CDE-GAT framework for spatio-temporal air pollution prediction.
  Accurate forecasting of air pollution is critical for public health and environmental management. This paper proposes a hybrid spatiotemporal framework that integrates Neural Controlled Differential Equations (Neural CDE) with Graph Attention Networks (GAT), w…
  europepmc 2026 置信度 0.80
• Driver behavior recognition under multiple illumination conditions based on attention mechanisms.
  This study presents a dual-stream spatiotemporal attention network (DSTA-Net) for robust driver behavior recognition under complex illumination conditions. Based on the SlowFast backbone, DSTA-Net incorporates the Temporal-Channel Attention Module (TCAM), Temp…
  europepmc 2026 置信度 0.80
• Distinct neural modes carry information about attempted grasp timing and force in the sensorimotor cortex.
  Humans perform a variety of complex hand movements to manipulate objects, requiring precise control of changing forces. Understanding the role of sensorimotor cortex and the cortical dynamics underlying these actions is crucial for developing interventions tha…
  pubmed Blumenthal GH, Dekleva BM, Gontier C, Gonzalez IC 等 2026 置信度 0.82
• CLAMP: Contrastive learning with adaptive multi-loss and progressive fusion for multimodal aspect-based sentiment analysis.
  Multimodal aspect-based sentiment analysis (MABSA) seeks to identify aspect terms within paired image-text data and determine their fine-grained sentiment polarities, representing a fundamental task for improving the effectiveness of applications such as produ…
  europepmc 2026 置信度 0.80
• PDA-AR: Progressive low-light facial expression recognition via multi-level alignment.
  Facial expression recognition (FER) under low-light conditions faces multiple challenges, such as image noise, blur, and texture loss, and while modern image enhancement methods can improve visual quality, they often optimize for human perception rather than d…
  europepmc 2026 置信度 0.80
• Engineering Neural Organoids: Technological Advances and Translational Frontiers.
  Neural organoids have transformed experimental neuroscience by enabling human-specific models of brain development, function, and disease. Emerging at the intersection of stem cell biology and tissue engineering, these self-organizing systems recapitulate key …
  europepmc 2026 置信度 0.80
• Spectral-directed electrostatics strategy integrated within a graph neural network approach for the prediction of nanocluster structures.
  Predicting the atomic configuration of large nanoclusters from their compositions remains a formidable challenge. To overcome this, we present the spectral-directed electrostatics strategy integrated within a graph neural network (spectral-DESIGNN), a novel me…
  europepmc 2026 置信度 0.80
• Design of Conformal Planar Penetrating Multi-Electrode Arrays for Recording Multiple Brain Regions.
  Simultaneous recording of neural activity across multiple interacting brain regions is a central objective in systems neuroscience and neural engineering. Penetrating multi-electrode arrays (MEAs) are essential for this purpose, yet their performance is fundam…
  europepmc 2026 置信度 0.80
• Deep learning-based classification of earthquake-damaged buildings using terrestrial images.
  Rapid, reliable assessment of building damage immediately after an earthquake is essential for prioritising search and rescue, allocating scarce resources, and establishing early situational awareness. This study develops and evaluates a deep learning classifi…
  europepmc 2026 置信度 0.80
• A hybrid convolutional-transformer neural network model for photovoltaic fault detection and localization.
  Energy retention from losses is the primary goal of fault detection methodology for photovoltaic (PV) solar systems. A fault detection model should be designed effectively to minimize power and cost waste. We propose a novel fault detection and localization me…
  europepmc 2026 置信度 0.80
• Enhancing spiking transformers with temporal feedback coding and global-local dynamic neurons.
  Spiking Neural Networks (SNNs) have emerged as energy-efficient, biologically more plausible alternatives to Artificial Neural Networks (ANNs), and their recent integration with Transformer architectures has demonstrated impressive performance on vision tasks.…
  europepmc 2026 置信度 0.80
• Connectivity between neural dynamics and lower limb coordination during gait in individuals with unilateral transfemoral amputation.
  Background Individuals with unilateral transfemoral amputation (uTFA) often show substantial gait deviations compared to non-disabled individuals. Coordination patterns derived from continuous relative phase (CRP) have been used to reflect changes in central n…
  europepmc 2026 置信度 0.80
• A lightweight hybrid framework integrating convolutional neural networks and fast Fourier transform for reliable and calibrated ECG-based cardiac abnormality detection.
  The electrocardiogram (ECG) is an essential non-invasive tool for detecting cardiac abnormalities; however, accurate interpretation often requires specialized expertise that may be unavailable in resource-limited clinical settings. While deep learning models h…
  europepmc 2026 置信度 0.80
• A guest-host hydrogel for neural tissue engineering applications.
  Worldwide, neurological injuries and disorders are a leading cause of disability, yet there are limited treatment options that address the underlying mechanisms associated with these injuries and diseases. Injectable hydrogels may serve as a neural tissue engi…
  europepmc 2026 置信度 0.80
• Evaluating the biological meaning of neural network decisions in EEG-based MCI detection.
  Objective. High accuracy in medical classification tasks does not ensure that neural networks reason in ways consistent with clinical or neurobiological understanding. This study examines whether a Transformer-based model trained on resting-state electroenceph…
  europepmc 2026 置信度 0.80
• Neural traveling waves in cortex: Network mechanisms and potential roles in neural computation.
  First discovered in anesthetized animals, neural traveling waves (nTWs) have now been observed throughout the brains of awake animals, where they influence neural excitability and behavior. nTWs can arise intrinsically in ongoing network activity or be trigger…
  europepmc 2026 置信度 0.80
• Enzymatically Crosslinked Hybrid Hydrogels from Ultrasound-Decellularized Spinal Cord Meninges and Hydrophilic Silk Fibroin for Neural Tissue Engineering.
  Hydrogels combining the biochemical complexity of the native extracellular matrix (ECM) with the tunable properties of protein-based biomaterials are promising for neural tissue engineering. In this study, decellularized spinal cord meninges (dSCM) were combin…
  europepmc 2026 置信度 0.80
• A novel neurovascular coupling analysis method based on simultaneous EEG-fNIRS for investigating the effects of working memory load.
  The relationship between neural activities and hemodynamic responses was referred to as neurovascular coupling (NVC). Although several methodologies were proposed for the NVC study, these approaches may be constrained in extracting event-related neural activit…
  europepmc 2026 置信度 0.80
• Representation similarity analysis based on spatial projection: Decoding of semantic congruity with OPM-MEG and EEG.
  Semantic processing is one of the core functions of human higher-level cognition. The neural mechanism of the decoding process is attached to great significance for understanding language, cognition, and clinical applications. The key issue in decoding semanti…
  europepmc 2026 置信度 0.80
• Biomimetic scaffolds based on stem cells for neural tissue engineering: a review.
  Implementing biomaterials, scaffolds, and stem cell therapy for neural tissue regeneration introduces a revolutionary strategy in regenerative healthcare. By embedding stem cells within intricately engineered scaffolds that replicate the natural extracellular …
  europepmc 2026 置信度 0.80
• Neural networks improve repeatability of intravoxel incoherent motion (IVIM) parameter estimation in pancreatic diffusion-weighted MRI.
  Intravoxel incoherent motion (IVIM) analysis in diffusion-weighted MRI (DWI-MRI) shows potential for characterizing pancreatic tissue, but its clinical application remains limited by sensitivity to fitting algorithms. This study assessed the repeatability of n…
  europepmc 2026 置信度 0.80
• C<sup>2</sup>LNet: Fusing infrared and visible image via a cross-modality complementarity learning network.
  Mining and fusing complementary information across modalities are crucial for infrared and visible image fusion (IVIF), yet existing methods largely rely on implicit feature aggregation and fail to explicitly mine and preserve cross-modality complementarity. T…
  europepmc 2026 置信度 0.80
• Modeling multiple classical conditioning mechanisms in a Memristor-Based learning circuit.
  To achieve circuit-level modeling of multiple complex associative learning mechanisms in brain-inspired systems, this paper proposes an analog neural circuit based on threshold memristors, capable of emulating multiple classical conditioning phenomena in a bio…
  europepmc 2026 置信度 0.80
• Implementing malware detection framework using adaptive and deformable attention-based elman residual recurrent neural network with data encryption for secure IoT.
  The rapid expansion of the Internet of Things (IoT) has developed various security vulnerabilities, as conventional defense mechanisms often struggle based on heterogeneity and resource constraints of smart devices. This research aims in designing a robust and…
  europepmc 2026 置信度 0.80
• Music emotion recognition with cEEGrid.
  Objective. Emotion decoding is a growing field of electroencephalography (EEG) research with numerous applications in areas such as healthcare, particularly when coupled with mobile EEG. However, research into mobile emotion decoding has been somewhat limited,…
  europepmc 2026 置信度 0.80
• A multi-paradigm and longitudinal EEG dataset including the "sixth-finger" and "affected-hand" motor imagery of stroke patients.
  Motor imagery-based brain-computer interface (MI-BCI) applications in stroke rehabilitation aim to match brain activity with real-time feedback, thereby establishing closed-loop neural pathways and providing a basis for evaluating patients' neuroplasticity cha…
  pubmed Wang Z, Liu Y, Huang S, Wu W 等 2026 置信度 0.82
• No evidence for a protein-synthesis-dependent form of long-term fear memory: Translational inhibition and neural inactivation disrupt short- and long-term memory measures to the same degree.
  Translational inhibition has been suggested to impair long-term memory (LTM) while leaving short-term memory (STM) unaffected. However, intracranial infusions of protein synthesis inhibitors such as anisomycin (ANI), cycloheximide, and emetine have been shown …
  europepmc 2026 置信度 0.80
• Brain network construction and analysis for epilepsy: A methodology review.
  Epilepsy is increasingly understood as a network disorder, prompting widespread application of graph-theoretic methods to electrophysiological and neuroimaging data. The resulting methodological landscape-spanning functional, structural, and effective connecti…
  europepmc 2026 置信度 0.80
• Gradient orbital coupling to boost radical adsorption on Cu atom sites for efficient biocatalytic performance.
  Molybdenum disulfide (MoS 2 ) holds broad application prospects in the biomedical field, yet its inherent enzyme-mimetic activity exhibits limitations. This study reveals that Cu doping unleashes exceptional biocatalytic activity of MoS 2 by forming d-p-d grad…
  europepmc 2026 置信度 0.80
• Genetic background and sex moderate the effects of adolescent nicotine exposure on adult functional neural circuits and behavior.
  Adolescence is a critical neurodevelopmental stage marked by heightened plasticity and vulnerability to environmental influences such as nicotine. Nicotine disrupts neural function via nicotinic acetylcholine receptors, leading to long-term impairments in rewa…
  europepmc 2026 置信度 0.80
• Improved hybrid islanding detection using data fusion, adaptive back propagation neural network and support vector machine with ROCPAD and IBRPV.
  A new hybrid islanding detection method (IDM) is proposed in this study to enhance the precision and effectiveness of islanding detection in hybrid microgrids (HMGs), especially in light of the increasing integration of renewable energy sources (RES) into powe…
  europepmc 2026 置信度 0.80
• Enhanced decomposition of vertical ground reaction forces via an improved off-loading model and optimised artificial neural network.
  Background Accurate quantification of the individual ground reaction forces (GRFs) generated by each foot during gait is fundamental to understanding human locomotion. A primary technical challenge arises during double support, when the measured GRF represents…
  europepmc 2026 置信度 0.80
• Brain-VQA: Human brain visual pathway inspired visual question answering for enhanced multi-modal cognition and reasoning.
  Visual Question Answering (VQA) aims to assess a model's ability to reason over visual content in response to natural language questions. Despite rapid progress driven by large-scale pretrained vision-language models, it remains unclear whether existing VQA sy…
  europepmc 2026 置信度 0.80
• Neural correlates of cross-modal correspondence: fNIRS evidence from color-vibrotactile perception.
  Objective . The neural mechanism of cross-modal correspondence in multimodal perception has not been fully studied. This study investigated the neural basis of color-vibrotactile cross-modal correspondence using functional near-infrared spectroscopy (fNIRS) an…
  europepmc 2026 置信度 0.80
• A medium-density EMG system for real-time proportional and simultaneous neuroprosthetic hand control using lightweight neural networks.
  Objective. Restoring intuitive and natural hand control remains a key challenge in neuroprosthetics. A promising approach is to decode continuous finger-joint angles from electromyography (EMG) signals, enabling dexterous interaction. Deep neural networks show…
  europepmc 2026 置信度 0.80
• Hyperbolic Hypergraph Neural Networks for Hierarchical Fault Diagnosis in Rotating Machinery.
  Intelligent fault diagnosis of rotating machinery is essential for ensuring the safety and reliability of industrial systems. While hypergraph neural networks (HGNNs) have recently shown promise for modeling high-order dependencies beyond pairwise graph method…
  europepmc 2026 置信度 0.80
• Backspin: A backdoor attack framework for split learning based on smashed data.
  Split Learning (SL) represents a novel collaborative machine learning paradigm tailored for participants with private data and constrained computational capabilities. As with Federated Learning (FL) and other collaborative learning paradigms, SL is also vulner…
  europepmc 2026 置信度 0.80
• Physics-encoded convolutional neural operators for parametric PDEs: A convergence-guaranteed framework via pre-computed kernel fields.
  Operator learning for parametric partial differential equations (PDEs) has emerged as a transformative paradigm, with physics-informed neural networks (PINNs), Deep Operator Networks (DeepONet), and Fourier Neural Operators (FNO) demonstrating remarkable capab…
  europepmc 2026 置信度 0.80
• Foundations of neural networks, fuzzy systems, and knowledge engineering
  From the Publisher: Covering the latest issues and achievements, this well documented, precisely presented text is timely and suitable for graduate and upper undergraduate students in knowledge engineering, intelligent systems, AI, neural networks, fuzzy syst…
  openalex Nikola Kasabov 1997-09-01 置信度 0.72 Artificial neural networkComputer scienceFuzzy logicArtificial intelligenceNeuro-fuzzy
• Journal of Neural Engineering
  Objective. The maintenance of balance is a complicated process in the human brain, which involves multisensory processing such as somatosensory and visual processing, motor planning and execution. It was shown that a specific cortical activity called perturbat…
  openalex 2013-12-11 置信度 0.72 Perturbation (astronomy)ElectroencephalographyBalance (ability)Somatosensory systemComputer science
• Neural Networks in Civil Engineering. II: Systems and Application
  The first paper of this two‐paper series developed an understanding of how artificial neural networks work and explained the primary issues involved in their use. This second paper demonstrates the versatility of neural networks as a problem‐solving tool, and …
  openalex Ian Flood, Nabil Kartam 1994-04-01 置信度 0.72 Artificial neural networkVariety (cybernetics)Computer scienceArtificial intelligenceIndustrial engineering
• Neural tissue engineering options for peripheral nerve regeneration
  openalex Xiaosong Gu, Fei Ding, David F. Williams 2014-05-10 置信度 0.72 Regeneration (biology)Context (archaeology)Peripheral nerveTissue engineeringBiocompatibility
• 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)
  openalex 2013-01-01 置信度 0.72 Computer science
• IEEE Transactions on Neural Systems and Rehabilitation Engineering
  function, provides a very strong argument to combine the techniques for BCI research. Several paths are considered for further research. First, several signal features and event classifiers will be investigated for asyn-chronous BCI, where the onset and termin…
  openalex 2025-08-08 置信度 0.72 RehabilitationComputer sciencePhysical medicine and rehabilitationNeuroscienceMedicine
• Development of biomaterial scaffold for nerve tissue engineering: Biomaterial mediated neural regeneration
  Neural tissue repair and regeneration strategies have received a great deal of attention because it directly affects the quality of the patient's life. There are many scientific challenges to regenerate nerve while using conventional autologous nerve grafts an…
  openalex Anuradha Subramanian, Uma Maheswari Krishnan, Swaminathan Sethuraman 2009-11-25 置信度 0.72 BiomaterialRegeneration (biology)Neural tissue engineeringTissue engineeringScaffold
• Intelligent Engineering Systems through Artificial Neural Networks
  The papers included in this volume provide a forum for researchers in computational intelligence field to exchange ideas on smart engineering systems architecting and design
  openalex Artificial Neural Networks in Engineering Conference < 2009, Saint Louis, Mo.>, Dagli, Cihan H., American Society of Mechanical Engineers 2009-01-01 置信度 0.72 Artificial neural networkLibrary scienceComputer scienceArtificial intelligenceEngineering
• Feature engineering in Context-Dependent Deep Neural Networks for conversational speech transcription
  We investigate the potential of Context-Dependent Deep-Neural-Network HMMs, or CD-DNN-HMMs, from a feature-engineering perspective. Recently, we had shown that for speaker-independent transcription of phone calls (NIST RT03S Fisher data), CD-DNN-HMMs reduced t…
  openalex Frank Seide, Gang Li, Chen Xie, Dong Yu 2011-12-01 置信度 0.72 Speech recognitionComputer scienceNISTTranscription (linguistics)Artificial neural network
• Current and novel polymeric biomaterials for neural tissue engineering
  The nervous system is a crucial component of the body and damages to this system, either by of injury or disease, can result in serious or potentially lethal consequences. Restoring the damaged nervous system is a great challenge due to the complex physiology …
  openalex Rossana Boni, Azam Ali, Amin Shavandi, Andrew N. Clarkson 2018-12-01 置信度 0.72 Tissue engineeringNeural tissue engineeringBiomedical engineeringNeural engineeringNanotechnology
• Neural Networks in Bioprocessing and Chemical Engineering
  openalex D.R. Baughman, Y. A. Liu 1995-01-01 置信度 0.72 BioprocessBiochemical engineeringBioprocess engineeringArtificial neural networkComputer science
• Pattern Recognition and Neural Networks
  This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously diverse application…
  openalex B. D. Ripley 1996-01-18 置信度 0.72 Computer scienceArtificial intelligenceSubject (documents)Data scienceArtificial neural network
• The Future of Memristors: Materials Engineering and Neural Networks
  Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are booming, and neural networks have become the hot research direction. However, due to the size limit of complementary metal–oxide–semiconductor (CMOS) transistors, von Neumann‐…
  openalex Kaixuan Sun, Jingsheng Chen, Xiaobing Yan 2020-11-13 置信度 0.72 MemristorNeuromorphic engineeringVon Neumann architectureArtificial neural networkComputer science
• The application of nanofibrous scaffolds in neural tissue engineering
  openalex Haoqing Cao, Ting Liu, Sing Yian Chew 2009-07-29 置信度 0.72 Neural tissue engineeringElectrospinningTissue engineeringScaffoldRegeneration (biology)
• Neural Engineering
  openalex Bin He 2005-01-01 置信度 0.72 Neural engineeringEngineeringSeries (stratigraphy)Computer scienceSystems engineering
• Artificial neural network models of knowledge representation in chemical engineering
  openalex Josiah Hoskins, D. M. Himmelblau 1988-09-01 置信度 0.72 Artificial neural networkNervous system network modelsComputer scienceRepresentation (politics)Artificial intelligence
• Neural Networks for Applied Sciences and Engineering
  In response to the exponentially increasing need to analyze vast amounts of data, Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition provides scientists with a simple but systematic introduction to neural net…
  openalex Sandhya Samarasinghe 2011-12-03 置信度 0.72 Artificial neural networkComputer scienceCognitive scienceNeuroscienceArtificial intelligence
• 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)
  openalex 2019-01-01 置信度 0.72 Computer scienceArtificial neural networkArtificial intelligence
• Electrospun nanofibers for neural tissue engineering
  Biodegradable nanofibers produced by electrospinning represent a new class of promising scaffolds to support nerve regeneration. We begin with a brief discussion on the electrospinning of nanofibers and methods for controlling the structure, porosity, and alig…
  openalex Jingwei Xie, Matthew R. MacEwan, Andrea G. Schwartz, Younan Xia 2009-11-03 置信度 0.72 NanofiberElectrospinningNeural tissue engineeringMaterials scienceMicroscale chemistry
• Approaches to neural tissue engineering using scaffolds for drug delivery
  openalex Stephanie M. Willerth, Shelly E. Sakiyama‐Elbert 2007-04-11 置信度 0.72 Drug deliveryNeural tissue engineeringScaffoldTissue engineeringNeural engineering
• 8th International IEEE EMBS Conference on Neural Engineering
  openalex 2016-11-29 置信度 0.72 Computer scienceArtificial intelligence
• Artificial neural network applications in geotechnical engineering
  Over the last few years or so, the use of artificial neural networks (ANNs) has increased in many areas of engineering. In particular, ANNs have been applied to many geotechnical engineering problems and have demonstrated some degree of success. A review of th…
  openalex Mohamed A. Shahin, Mark B. Jaksa, Holger R. Maier 2001-01-01 置信度 0.72 Geotechnical engineeringArtificial neural networkCivil engineeringEngineeringGeotechnical investigation
• Artificial neural networks in process engineering
  Artificial neural networks are made up of highly interconnected layers of simple ‘neuron-like’ nodes. The neurons act as nonlinear processing elements within the network. An attractive property of artificial neural networks is that, given the appropriate netwo…
  openalex M.J. Willis, C. Di Massimo, G.A. Montague, M.T. Tham 等 1991-01-01 置信度 0.72 Artificial neural networkProcess (computing)DistillationComputer scienceFractionating column
• Applications of artificial neural networks in chemical engineering
  openalex D. M. Himmelblau 2000-07-01 置信度 0.72 Artificial neural networkComputer scienceField (mathematics)Variety (cybernetics)Artificial intelligence
• Introduction to Neural Engineering for Motor Rehabilitation
  Excitable cells, such as neurons, produce action potentials (APs) that in extracellular recordings are often referred to as spikes. The contributions of each cell must be isolated from the background noise and from those of the other cells. This chapter focuse…
  openalex Dario Farina, Jensen, Winnie; id_orcid 0000-0001-9510-8847, Akay, Metin 2013-07-12 置信度 0.72 Neural engineeringBrain–computer interfaceNeurophysiologyRehabilitationFunctional electrical stimulation
• Virtual-Intelligence Applications in Petroleum Engineering: Part 1—Artificial Neural Networks
  Distinguished Author Series articles are general, descriptive representations that summarize the state of the art in an area of technology by describing recent developments for readers who are not specialists in the topics discussed. Written by individuals rec…
  openalex Shahab D. Mohaghegh 2000-09-01 置信度 0.72 Computer scienceArtificial intelligenceArtificial neural networkRelation (database)Fuzzy logic
• Nerve Growth Factor-Immobilized Electrically Conducting Fibrous Scaffolds for Potential Use in Neural Engineering Applications
  Engineered scaffolds simultaneously exhibiting multiple cues are highly desirable for neural tissue regeneration. To this end, we developed a neural tissue engineering scaffold that displays submicrometer-scale features, electrical conductivity, and neurotroph…
  openalex Jae Young Lee, Chris A. Bashur, Craig Milroy, Leandro Forciniti 等 2011-06-29 置信度 0.72 Neural tissue engineeringNeuriteTissue engineeringPLGANerve growth factor
• An efficient SpiNNaker implementation of the Neural Engineering Framework
  By building and simulating neural systems we hope to understand how the brain may work and use this knowledge to build neural and cognitive systems to tackle engineering problems. The Neural Engineering Framework (NEF) is a hypothesis about how such systems ma…
  openalex Andrew Mundy, James C. Knight, Terrence C. Stewart, Steve Furber 2015-07-01 置信度 0.72 Neuromorphic engineeringComputer scienceArtificial neural networkComputationSpiking neural network
• 1D convolutional neural networks and applications: A survey
  During the last decade, Convolutional Neural Networks (CNNs) have become the de facto standard for various Computer Vision and Machine Learning operations. CNNs are feed-forward Artificial Neural Networks (ANNs) with alternating convolutional and subsampling l…
  openalex Kiranyaz, Mustafa Serkan, Onur Avcı, Osama Abdeljaber, Türker İnce 等 2021-01-01 置信度 0.72 Convolutional neural networkComputer scienceDeep learningArtificial intelligenceBenchmark (surveying)
• Polylysine-functionalised thermoresponsive chitosan hydrogel for neural tissue engineering
  openalex Kylie Crompton, Janagama Goud, Ravi V. Bellamkonda, Thomas R. Gengenbach 等 2006-09-19 置信度 0.72 NeuriteChitosanSelf-healing hydrogelsTissue engineeringPolylysine
• State-of-the-art in artificial neural network applications: A survey
  This is a survey of neural network applications in the real-world scenario. It provides a taxonomy of artificial neural networks (ANNs) and furnish the reader with knowledge of current and emerging trends in ANN applications research and area of focus for rese…
  openalex Oludare Isaac Abiodun, Aman Jantan, Abiodun Esther Omolara, Kemi Victoria Dada 等 2018-11-01 置信度 0.72 Artificial neural networkState (computer science)Artificial intelligenceComputer scienceData science
• Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition
  FROM DATA TO MODELS: COMPLEXITY AND CHALLENGES IN UNDERSTANDING BIOLOGICAL, ECOLOGICAL, AND NATURAL SYSTEMS Introduction Layout of the Book FUNDAMENTALS OF NEURAL NETWORKS AND MODELS FOR LINEAR DATA ANALYSIS Introduction and Overview Neural Networks and Their …
  openalex Sandhya Samarasinghe 2006-09-12 置信度 0.72 Artificial neural networkComputer scienceArtificial intelligenceNonlinear systemMachine learning
• Engineering Multiversion Neural-Net Systems
  In this paper we address the problem of constructing reliable neural-net implementations, given the assumption that any particular implementation will not be totally correct. The approach taken in this paper is to organize the inevitable errors so as to minimi…
  openalex Daniel G. Partridge, William B. Yates 1996-05-01 置信度 0.72 Reliability (semiconductor)Computer scienceContext (archaeology)Artificial neural networkComponent (thermodynamics)
• Handbook of Neural Engineering
  openalex 2006-04-10 置信度 0.72 Artificial neural networkComputer scienceEngineeringArtificial intelligence
• Induced pluripotent stem cells for neural tissue engineering
  openalex Aijun Wang, Zhenyu Tang, In‐Hyun Park, Yiqian Zhu 等 2011-04-24 置信度 0.72 Materials scienceInduced pluripotent stem cellTissue engineeringBiomedical engineeringNeural tissue engineering
• A hierarchical analysis for rock engineering using artificial neural networks
  openalex Yingjie Yang, Qian Zhang 1997-01-01 置信度 0.72 Artificial neural networkKey (lock)Stability (learning theory)Rock mechanicsComputer science
• 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)
  openalex 2015-01-01 置信度 0.72 Computer science
• Conductive Core–Sheath Nanofibers and Their Potential Application in Neural Tissue Engineering
  We have prepared conductive core-sheath nanofibers via a combination of electrospinning and aqueous polymerization. Specifically, nanofibers electrospun from poly(ε-caprolactone) (PCL) and poly((L)-lactide) (PLA) were employed as templates to generate uniform …
  openalex Jingwei Xie, Matthew R. MacEwan, Stephanie M. Willerth, Xiaoran Li 等 2009-05-21 置信度 0.72 NanofiberMaterials scienceElectrospinningNeuritePolypyrrole
• Fuzzy Logic with Engineering Applications
  About the Author. Preface to the Third Edition. 1 Introduction. The Case for Imprecision. A Historical Perspective. The Utility of Fuzzy Systems. Limitations of Fuzzy Systems. The Illusion: Ignoring Uncertainty and Accuracy. Uncertainty and Information. The Un…
  openalex Timothy J. Ross 2010-01-15 置信度 0.72 DefuzzificationFuzzy set operationsFuzzy classificationFuzzy numberType-2 fuzzy sets and systems
• Advanced methods in neural computing
  From the Publisher: Following up where Neural Computing: Theory and Practice left off, this guide explains diverse high-performance paradigms for artificial neural networks (ANNs) that function effectively in real-world situations. The tutorial approach, use …
  openalex Philip D. Wasserman 1989-01-01 置信度 0.72 Computer scienceArtificial neural networkArtificial intelligenceField (mathematics)Set (abstract data type)
• Electrospun Biocomposite Nanofibrous Scaffolds for Neural Tissue Engineering
  Bridging of nerve gaps after injury is a major problem in peripheral nerve regeneration. Considering the potential application of a bio-artificial nerve guide material, polycaprolactone (PCL)/chitosan nanofibrous scaffolds was designed and evaluated in vitro u…
  openalex Molamma P. Prabhakaran, Jayarama Reddy Venugopal, Tan Ter Chyan, Lim Beng Hai 等 2008-07-25 置信度 0.72 NanofiberNeural tissue engineeringChitosanElectrospinningPolycaprolactone
• Hydrogel systems and their role in neural tissue engineering
  Neural tissue engineering (NTE) is a rapidly progressing field that promises to address several serious neurological conditions that are currently difficult to treat. Selecting the right scaffolding material to promote neural and non-neural cell differentiatio…
  openalex Pallavi Madhusudanan, Gayathri Raju, Sahadev Shankarappa 2020-01-01 置信度 0.72 Self-healing hydrogelsNeural cellNeural tissue engineeringNeuroscienceRegeneration (biology)
• Electrospun hyaluronic acid-carbon nanotube nanofibers for neural engineering
  openalex Elisabeth M. Steel, Jean-Yves Azar, Harini G. Sundararaghavan 2019-12-28 置信度 0.72 Materials scienceCarbon nanotubeBiomaterialNanofiberNanotechnology
• Bioprinting for Neural Tissue Engineering
  openalex Stephanie Knowlton, Shivesh Anand, Twisha Shah, Savaş Taşoğlu 2017-12-06 置信度 0.72 3D bioprintingScaffoldNeural tissue engineeringNeural cellComputer science
• Neural Architectures for Named Entity Recognition
  Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer. Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2016.
  openalex Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami 等 2016-01-01 置信度 0.72 Computer scienceNamed-entity recognitionArtificial intelligenceNamed entityNatural language processing
• Neural systems engineering
  The quest to build an electronic computer based on the operational principles of biological brains has attracted attention over many years. The hope is that, by emulating the brain, it will be possible to capture some of its capabilities and thereby bridge the…
  openalex Steve Furber, Steve Temple 2006-11-28 置信度 0.72 EmulationComputer scienceBridge (graph theory)Cognitive scienceData science
• Applications of Artificial Neural Networks and Machine Learning in Civil Engineering
  openalex A. Kaveh 2024-01-01 置信度 0.72 Artificial neural networkArtificial intelligenceComputer scienceMachine learningDeep learning
• Neural networks in ocean engineering
  The soft computing technique of neural network is being extensively used across all disciplines of ocean engineering, namely, offshore, coastal, and deep-ocean engineering including marine engineering. This paper takes a stock of the research studies reported …
  openalex Pooja Jain, M. C. Deo 2005-10-11 置信度 0.72 Artificial neural networkComputer scienceExtrapolationPredictabilityRange (aeronautics)
• Towards Reverse-Engineering Black-Box Neural Networks
  openalex Seong Joon Oh, Bernt Schiele, Mario Fritz 2019-01-01 置信度 0.72 Computer scienceBlack boxVulnerability (computing)Software deploymentDeep neural networks
• Polydopamine-mediated surface modification of scaffold materials for human neural stem cell engineering
  openalex Kisuk Yang, Jung Seung Lee, Jin Kim, Yu Bin Lee 等 2012-07-18 置信度 0.72 Surface modificationMaterials scienceNeural stem cellNeural tissue engineeringTissue engineering