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• Memorization in Deep Neural Networks: Does the Loss Function matter?
  Deep Neural Networks, often owing to the overparameterization, are shown to be capable of exactly memorizing even randomly labelled data. Empirical studies have also shown that none of the standard regularization techniques mitigate such overfitting. We invest…
  arxiv Deep Patel, P. S. Sastry 2021-07-21T09:08:51Z 置信度 0.78 cs.LGcs.CVstat.ML
• Learn to Accumulate Evidence from All Training Samples: Theory and Practice
  Evidential deep learning, built upon belief theory and subjective logic, offers a principled and computationally efficient way to turn a deterministic neural network uncertainty-aware. The resultant evidential models can quantify fine-grained uncertainty using…
  arxiv Deep Pandey, Qi Yu 2023-06-19T18:27:12Z 置信度 0.78 cs.LGcs.AIcs.CV
• DILIE: Deep Internal Learning for Image Enhancement
  We consider the generic deep image enhancement problem where an input image is transformed into a perceptually better-looking image. Recent methods for image enhancement consider the problem by performing style transfer and image restoration. The methods mostl…
  arxiv Indra Deep Mastan, Shanmuganathan Raman 2020-12-11T16:39:44Z 置信度 0.78 cs.CV
• Midterm Status Report of the ILC Technology Network Activities
  The ILC Technology Network (ITN) was established in 2022 by the ILC International Development Team, a subcommittee of the International Committee for Future Accelerators, to advance engineering studies toward the realisation of the International Linear Collide…
  arxiv ILC Technology Network 2026-03-01T16:22:42Z 置信度 0.78 physics.acc-phhep-exhep-ph
• Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors
  Inverse problems are ubiquitous in nature, arising in almost all areas of science and engineering ranging from geophysics and climate science to astrophysics and biomechanics. One of the central challenges in solving inverse problems is tackling their ill-pose…
  arxiv Dhruv V Patel, Deep Ray, Assad A Oberai 2021-07-06T22:23:27Z 置信度 0.78 stat.MLcs.LG
• Deep learning observables in computational fluid dynamics
  Many large scale problems in computational fluid dynamics such as uncertainty quantification, Bayesian inversion, data assimilation and PDE constrained optimization are considered very challenging computationally as they require a large number of expensive (fo…
  arxiv Kjetil O. Lye, Siddhartha Mishra, Deep Ray 2019-03-07T16:57:52Z 置信度 0.78 physics.comp-phcs.LGmath.NAphysics.flu-dynstat.ML
• DeepCFL: Deep Contextual Features Learning from a Single Image
  Recently, there is a vast interest in developing image feature learning methods that are independent of the training data, such as deep image prior, InGAN, SinGAN, and DCIL. These methods are unsupervised and are used to perform low-level vision tasks such as …
  arxiv Indra Deep Mastan, Shanmuganathan Raman 2020-11-07T06:54:59Z 置信度 0.78 cs.CV
• Generalized Regularized Evidential Deep Learning Models: Theory and Comprehensive Evaluation
  Evidential deep learning (EDL) models, based on Subjective Logic, introduce a principled and computationally efficient way to make deterministic neural networks uncertainty-aware. The resulting evidential models can quantify fine-grained uncertainty using lear…
  arxiv Deep Shankar Pandey, Hyomin Choi, Qi Yu 2025-12-27T11:26:18Z 置信度 0.78 cs.LGcs.AI
• A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium
  In this study, we propose a dynamical model for the evolution of velocity gradients in compressible turbulent flows with vibrational non-equilibrium effects, using physics-assisted deep neural networks. Such models provide a powerful framework for understandin…
  arxiv Deep Shikha, Sawan S Sinha 2026-07-23T10:36:05Z 置信度 0.78 physics.flu-dyn
• Hybrid deep learning-based strategy for the hepatocellular carcinoma cancer grade classification of H&E stained liver histopathology images
  Hepatocellular carcinoma (HCC) is a common type of liver cancer whose early-stage diagnosis is a common challenge, mainly due to the manual assessment of hematoxylin and eosin-stained whole slide images, which is a time-consuming process and may lead to variab…
  arxiv Ajinkya Deshpande, Deep Gupta, Ankit Bhurane, Nisha Meshram 等 2024-12-04T07:26:36Z 置信度 0.78 eess.IVcs.CVcs.LGq-bio.QM
• DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting
  Recently, there is a vast interest in developing methods which are independent of the training samples such as deep image prior, zero-shot learning, and internal learning. The methods above are based on the common goal of maximizing image features learning fro…
  arxiv Indra Deep Mastan, Shanmuganathan Raman 2019-12-09T18:12:49Z 置信度 0.78 eess.IVcs.CV
• Monodense Deep Neural Model for Determining Item Price Elasticity
  Item Price Elasticity is used to quantify the responsiveness of consumer demand to changes in item prices, enabling businesses to create pricing strategies and optimize revenue management. Sectors such as store retail, e-commerce, and consumer goods rely on el…
  arxiv Lakshya Garg, Sai Yaswanth, Deep Narayan Mishra, Karthik Kumaran 等 2026-03-31T04:50:51Z 置信度 0.78 cs.LGcs.AI
• NEMO-\onde: a submarine station for real-time monitoring of acoustic background installed at 2000 m depth in the Mediterranean Sea
  The NEMO (NEutrino Mediterranean Observatory) Collaboration installed, 25 km E offshore the port of Catania (Sicily) at 2000 m depth, an underwater laboratory to perform long-term tests of prototypes and new technologies for an underwater high energy neutrino …
  arxiv The NEMO Collaboration, L. Cosentino, M. Favetta, G. Larosa 等 2008-04-17T22:19:43Z 置信度 0.78 astro-ph
• Acoustic and optical variations during rapid downward motion episodes in the deep north-western Mediterranean Sea
  An Acoustic Doppler Current Profiler (ADCP) was moored at the deep-sea site of the ANTARES neutrino telescope near Toulon, France, thus providing a unique opportunity to compare high-resolution acoustic and optical observations between 70 and 170 m above the s…
  arxiv H. van Haren, I. Taupier-Letage, J. A. Aguilar, A. Albert 等 2011-11-28T15:54:44Z 置信度 0.78 physics.geo-phastro-ph.IM
• The Rise of Blockchain Technology in Agriculture and Food Supply Chains
  Blockchain is an emerging digital technology allowing ubiquitous financial transactions among distributed untrusted parties, without the need of intermediaries such as banks. This article examines the impact of blockchain technology in agriculture and food sup…
  arxiv Andreas Kamilaris, Agusti Fonts, Francesc X. Prenafeta-Boldu 2019-08-18T16:25:59Z 置信度 0.78 cs.CYcs.DCcs.SI
• Deep Learning Technology for Face Forgery Detection: A Survey
  Currently, the rapid development of computer vision and deep learning has enabled the creation or manipulation of high-fidelity facial images and videos via deep generative approaches. This technology, also known as deepfake, has achieved dramatic progress and…
  arxiv Lixia Ma, Puning Yang, Yuting Xu, Ziming Yang 等 2024-09-22T01:42:01Z 置信度 0.78 cs.CV
• Data Assimilation and Sensitivity of the Black Sea Model to Parameters
  An adjoint based technique is applied to a Shallow Water Model in order to estimate influence of the model's parameters on the solution. Among parameters the bottom topography, initial conditions, boundary conditions on rigid boundaries, viscosity coefficients…
  arxiv Eugene Kazantsev 2011-12-19T10:35:48Z 置信度 0.78 physics.ao-phmath.OC
• Integration of Cloud Computing and Web2.0 Collaboration Technologies in E-Learning
  Cloud computing technology is an emerging new computing paradigm for delivering computing services. Although it still in its early stage, it has changed the way how many applications are developed and accessed. This computing approach relies on a number of exi…
  arxiv Rasha Fouad AlCattan 2014-06-19T12:24:30Z 置信度 0.78 cs.CYcs.DC
• Deep Video Codec Control for Vision Models
  Standardized lossy video coding is at the core of almost all real-world video processing pipelines. Rate control is used to enable standard codecs to adapt to different network bandwidth conditions or storage constraints. However, standard video codecs (e.g., …
  arxiv Christoph Reich, Biplob Debnath, Deep Patel, Tim Prangemeier 等 2023-08-30T16:44:38Z 置信度 0.78 eess.IVcs.CVcs.LGcs.MM
• New high-tech flexible networks for the monitoring of deep-sea ecosystems
  Increasing interest in the acquisition of biotic and abiotic resources from within the deep sea (e.g. fisheries, oil-gas extraction, and mining) urgently imposes the development of novel monitoring technologies, beyond the traditional vessel-assisted, time-con…
  arxiv J. Aguzzi, D. Chatzievangelou, S. Marini, E. Fanelli 等 2022-01-14T19:44:15Z 置信度 0.78 physics.ins-detq-bio.PE
• Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks
  We present a novel active learning algorithm, termed as iterative surrogate model optimization (ISMO), for robust and efficient numerical approximation of PDE constrained optimization problems. This algorithm is based on deep neural networks and its key featur…
  arxiv Kjetil O. Lye, Siddhartha Mishra, Deep Ray, Praveen Chandrasekhar 2020-08-13T07:31:07Z 置信度 0.78 math.OCcs.LGmath.NA
• Persuasive Technology Contributions Toward Enhance Information Security Awareness in an Organization
  Persuasion is part and parcel of human interaction. The human persuaders in society have been always exit, masters of rhetoric skilled of changing our minds, or at least our behaviors. Leaders, mothers, salesmen, and teachers are clear examples of persuaders. …
  arxiv Hani A. Qudaih, Mohammed A. Bawazir, Shuaibu Hassan Usman, Jamaludin Ibrahim 2014-05-06T05:54:59Z 置信度 0.78 cs.CY
• SEA-LION: Southeast Asian Languages in One Network
  Recently, Large Language Models (LLMs) have dominated much of the artificial intelligence scene with their ability to process and generate natural languages. However, the majority of LLM research and development remains English-centric, leaving low-resource la…
  arxiv Raymond Ng, Thanh Ngan Nguyen, Yuli Huang, Ngee Chia Tai 等 2025-04-08T07:24:51Z 置信度 0.78 cs.CL
• The Modern Mathematics of Deep Learning
  We describe the new field of mathematical analysis of deep learning. This field emerged around a list of research questions that were not answered within the classical framework of learning theory. These questions concern: the outstanding generalization power …
  arxiv Julius Berner, Philipp Grohs, Gitta Kutyniok, Philipp Petersen 2021-05-09T21:30:42Z 置信度 0.78 cs.LGstat.ML
• Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia
  Southeast Asia (SEA) is a region of extraordinary linguistic and cultural diversity, yet it remains significantly underrepresented in vision-language (VL) research. This often results in artificial intelligence (AI) models that fail to capture SEA cultural nua…
  arxiv Samuel Cahyawijaya, Holy Lovenia, Joel Ruben Antony Moniz, Tack Hwa Wong 等 2025-03-10T23:54:52Z 置信度 0.78 cs.CVcs.AIcs.CL
• Plasma Switch-Based Technology for High-Speed and High-Power Impedance Tuning
  This paper introduces a new technology for a high-speed, high-power mobile form-factor tuner utilizing gas discharge tube plasma cells as switching components. To the best of our knowledge, this represents the first plasma-enabled RF matching network. Technolo…
  arxiv Zach Vander Missen, Sergey Macheret, Abbas Semnani, Dimitrios Peroulis 2020-12-10T02:10:43Z 置信度 0.78 eess.SPphysics.plasm-ph
• Deep saliency: What is learnt by a deep network about saliency?
  Deep convolutional neural networks have achieved impressive performance on a broad range of problems, beating prior art on established benchmarks, but it often remains unclear what are the representations learnt by those systems and how they achieve such perfo…
  arxiv Sen He, Nicolas Pugeault 2018-01-12T18:32:15Z 置信度 0.78 cs.CV
• Strange and Anti-strange Sea Distributions from Neutrino-Nucleon Deep Inelastic Scattering
  We perform QCD fit of the nucleon strange and anti-strange sea distributions to the neutrino and anti-neutrino dimuon data by the CCFR and NuTeV collaborations, supplemented by the inclusive charged lepton-nucleon Deep Inelastic Scattering (DIS) and Drell-Yan …
  arxiv S. Alekhin, S. Kulagin, R. Petti 2009-10-20T11:07:46Z 置信度 0.78 hep-ph
• Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models
  For acute ischemic stroke (AIS) patients with large vessel occlusions, clinicians must decide if the benefit of mechanical thrombectomy (MTB) outweighs the risks and potential complications following an invasive procedure. Pre-treatment computed tomography (CT…
  arxiv Haoyue Zhang, Jennifer S. Polson, Eric J. Yang, Kambiz Nael 等 2023-02-08T15:41:21Z 置信度 0.78 eess.IVcs.CV
• Activation Analysis of a Byte-Based Deep Neural Network for Malware Classification
  Feature engineering is one of the most costly aspects of developing effective machine learning models, and that cost is even greater in specialized problem domains, like malware classification, where expert skills are necessary to identify useful features. Rec…
  arxiv Scott E. Coull, Christopher Gardner 2019-03-12T04:00:42Z 置信度 0.78 cs.LGcs.CRstat.ML
• An Overview of Quantum Computing for Technology Managers
  Faster algorithms, novel cryptographic mechanisms, and alternative methods of communication become possible when the model underlying information and computation changes from a classical mechanical model to a quantum mechanical one. Quantum algorithms perform …
  arxiv Eleanor G. Rieffel 2008-04-14T20:18:33Z 置信度 0.78 quant-ph
• Shear-selected clusters from the Deep Lens Survey
  Weak gravitational lensing has the potential to select clusters independently of their baryon content, dynamical state, and star formation history. We present steps toward the first shear-selected sample of clusters, from the Deep Lens Survey (DLS), a deep BVR…
  arxiv V. E. Margoniner, the Deep Lens Survey Team 2003-03-17T18:31:11Z 置信度 0.78 astro-ph
• Natural Hyperbolicity of Hexagonal Boron Nitride in the Deep Ultraviolet
  Hyperbolic media enable unique optical phenomena including hyperlensing, negative refraction, enhanced photonic density of states (PDOS), and highly confined polaritons. While most hyperbolic media are artificially engineered metamaterials, certain natural mat…
  arxiv Bongjun Choi, Jason Lynch, Wangleong Chen, Seong-Joon Jeon 等 2025-07-17T16:26:02Z 置信度 0.78 physics.opticsphysics.app-ph
• BDLOB: Bayesian Deep Convolutional Neural Networks for Limit Order Books
  We showcase how dropout variational inference can be applied to a large-scale deep learning model that predicts price movements from limit order books (LOBs), the canonical data source representing trading and pricing movements. We demonstrate that uncertainty…
  arxiv Zihao Zhang, Stefan Zohren, Stephen Roberts 2018-11-25T15:53:31Z 置信度 0.78 q-fin.CP
• PRGFlow: Benchmarking SWAP-Aware Unified Deep Visual Inertial Odometry
  Odometry on aerial robots has to be of low latency and high robustness whilst also respecting the Size, Weight, Area and Power (SWAP) constraints as demanded by the size of the robot. A combination of visual sensors coupled with Inertial Measurement Units (IMU…
  arxiv Nitin J. Sanket, Chahat Deep Singh, Cornelia Fermüller, Yiannis Aloimonos 2020-06-11T19:12:54Z 置信度 0.78 cs.CVcs.RO
• Deep Sea Robotic Imaging Simulator
  Nowadays underwater vision systems are being widely applied in ocean research. However, the largest portion of the ocean - the deep sea - still remains mostly unexplored. Only relatively few image sets have been taken from the deep sea due to the physical limi…
  arxiv Yifan Song, David Nakath, Mengkun She, Furkan Elibol 等 2020-06-27T16:18:32Z 置信度 0.78 cs.CVeess.IV
• Ground-Based Optical Deep Pencil Beam Surveys
  The initial results of the Deep Lens Survey (http://dls.bell-labs.com) to identify possible brown dwarfs and extremely metal poor red halo subdwarfs near the hydrogen burning limit are presented. Individual deep CCD high galactic latitude survey fields appear …
  arxiv P. C. Boeshaar, V. E. Margoniner, the Deep Lens Survey Team 2002-08-09T19:57:04Z 置信度 0.78 astro-ph
• A multitask deep learning model for real-time deployment in embedded systems
  We propose an approach to Multitask Learning (MTL) to make deep learning models faster and lighter for applications in which multiple tasks need to be solved simultaneously, which is particularly useful in embedded, real-time systems. We develop a multitask mo…
  arxiv Miquel Martí, Atsuto Maki 2017-10-31T23:59:23Z 置信度 0.78 cs.CVcs.LG
• Advances in Search and Rescue at Sea
  A topical collection on "Advances in Search and Rescue at Sea" has appeared in recent issues of Ocean Dynamics following the latest in a series of workshops on "Technologies for Search and Rescue and other Emergency Marine Operations" (2004, 2006, 2008 and 201…
  arxiv Øyvind Breivik, Arthur Addoms Allen, Christophe Maisondieu, Michel Olagnon 2012-11-05T09:48:41Z 置信度 0.78 physics.ao-phphysics.geo-ph
• A Deep Neural Framework for Contextual Affect Detection
  A short and simple text carrying no emotion can represent some strong emotions when reading along with its context, i.e., the same sentence can express extreme anger as well as happiness depending on its context. In this paper, we propose a Contextual Affect D…
  arxiv Kumar Shikhar Deep, Asif Ekbal, Pushpak Bhattacharyya 2020-01-28T05:03:15Z 置信度 0.78 cs.CL
• An Operational Search and Rescue Model for the Norwegian Sea and the North Sea
  A new operational, ensemble-based search and rescue model for the Norwegian Sea and the North Sea is presented. The stochastic trajectory model computes the net motion of a range of search and rescue objects. A new, robust formulation for the relation between …
  arxiv Øyvind Breivik, Arthur A Allen 2011-11-04T11:49:59Z 置信度 0.78 physics.ao-phphysics.geo-ph
• Graph neural network for colliding particles with an application to sea ice floe modeling
  This paper introduces a novel approach to sea ice modeling using Graph Neural Networks (GNNs), utilizing the natural graph structure of sea ice, where nodes represent individual ice pieces, and edges model the physical interactions, including collisions. This …
  arxiv Ruibiao Zhu 2026-02-18T06:31:04Z 置信度 0.78 cs.LGcs.AIcs.CVphysics.comp-ph
• EVDodgeNet: Deep Dynamic Obstacle Dodging with Event Cameras
  Dynamic obstacle avoidance on quadrotors requires low latency. A class of sensors that are particularly suitable for such scenarios are event cameras. In this paper, we present a deep learning -- based solution for dodging multiple dynamic obstacles on a quadr…
  arxiv Nitin J. Sanket, Chethan M. Parameshwara, Chahat Deep Singh, Ashwin V. Kuruttukulam 等 2019-06-07T06:27:46Z 置信度 0.78 cs.ROcs.CV
• Application of Data Stream Processing Technologies in Industry 4.0 -- What is Missing?
  Industry 4.0 is becoming more and more important for manufacturers as the developments in the area of Internet of Things advance. Another technology gaining more attention is data stream processing systems. Although such streaming frameworks seem to be a natur…
  arxiv Guenter Hesse, Werner Sinzig, Christoph Matthies, Matthias Uflacker 2019-07-22T16:01:21Z 置信度 0.78 cs.DB
• SEA: Semantic Map Prediction for Active Exploration of Uncertain Areas
  In this paper, we propose SEA, a novel approach for active robot exploration through semantic map prediction and a reinforcement learning-based hierarchical exploration policy. Unlike existing learning-based methods that rely on one-step waypoint prediction, o…
  arxiv Hongyu Ding, Xinyue Liang, Yudong Fang, You Wu 等 2025-10-22T16:51:36Z 置信度 0.78 cs.RO
• Adaptive Sample Selection for Robust Learning under Label Noise
  Deep Neural Networks (DNNs) have been shown to be susceptible to memorization or overfitting in the presence of noisily-labelled data. For the problem of robust learning under such noisy data, several algorithms have been proposed. A prominent class of algorit…
  arxiv Deep Patel, P. S. Sastry 2021-06-29T12:10:58Z 置信度 0.78 cs.LGcs.AIcs.CV
• Quantum Technology for Military Applications
  Quantum technology is an emergent and potentially disruptive discipline, with the ability to affect many human activities. Quantum technologies are dual-use technologies, and as such are of interest to the defence and security industry and military and governm…
  arxiv Michal Krelina 2021-03-21T14:37:11Z 置信度 0.78 quant-phphysics.app-ph
• The KM3NeT deep-sea neutrino telescope
  KM3NeT is a deep-sea research infrastructure being constructed in the Mediterranean Sea. It will host the next generation Cherenkov neutrino telescope and nodes for a deep sea multidisciplinary observatory, providing oceanographers, marine biologists, and geop…
  arxiv Annarita Margiotta 2014-08-05T23:10:42Z 置信度 0.78 astro-ph.IMastro-ph.HEphysics.ins-det
• Satellite altimetry reveals spatial patterns of variations in the Baltic Sea wave climate
  The main properties of the climate of waves in the seasonally ice-covered Baltic Sea and its decadal changes since 1990 are estimated from satellite altimetry data. The data set of significant wave heights (SWH) from all existing nine satellites, cleaned and c…
  arxiv Nadia Kudryavtseva, Tarmo Soomere 2017-05-03T08:50:57Z 置信度 0.78 physics.ao-ph
• Screening Autism Spectrum Disorder in childrens using Deep Learning Approach : Evaluating the classification model of YOLOv8 by comparing with other models
  Autism spectrum disorder (ASD) is a developmental condition that presents significant challenges in social interaction, communication, and behavior. Early intervention plays a pivotal role in enhancing cognitive abilities and reducing autistic symptoms in chil…
  arxiv Subash Gautam, Prabin Sharma, Kisan Thapa, Mala Deep Upadhaya 等 2023-06-25T18:02:01Z 置信度 0.78 cs.CVcs.AI
• Placement Semantics for Distributed Deep Learning: A Systematic Framework for Analyzing Parallelism Strategies
  Training large language models requires distributing computation across many accelerators, yet practitioners select parallelism strategies (data, tensor, pipeline, ZeRO) through trial and error because no unified systematic framework predicts their behavior. W…
  arxiv Deep Pankajbhai Mehta 2026-01-05T18:01:38Z 置信度 0.78 cs.DCcs.AI
• Learning WENO for entropy stable schemes to solve conservation laws
  Entropy conditions play a crucial role in the extraction of a physically relevant solution for systems of conservation laws, thus motivating the construction of entropy stable schemes that satisfy a discrete analogue of such conditions. TeCNO schemes (Fjordhol…
  arxiv Philip Charles, Deep Ray 2024-03-21T21:39:05Z 置信度 0.78 math.NAcs.LG
• DeepObjStyle: Deep Object-based Photo Style Transfer
  One of the major challenges of style transfer is the appropriate image features supervision between the output image and the input (style and content) images. An efficient strategy would be to define an object map between the objects of the style and the conte…
  arxiv Indra Deep Mastan, Shanmuganathan Raman 2020-12-11T17:02:01Z 置信度 0.78 cs.CV
• A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention
  Medical image fusion combines the complementary information of multimodal medical images to assist medical professionals in the clinical diagnosis of patients' disorders and provide guidance during preoperative and intra-operative procedures. Deep learning (DL…
  arxiv Payal Wankhede, Manisha Das, Deep Gupta, Petia Radeva 等 2023-10-18T11:29:53Z 置信度 0.78 eess.IVcs.CVcs.LG
• Leveraged Trading on Blockchain Technology
  We document an ongoing research process towards the implementation and integration of a digital artefact, executing the lifecycle of a leveraged trade with permissionless blockchain technology. By employing core functions of the 'Dai Stablecoin system' deploye…
  arxiv Johannes Rude Jensen, Victor von Wachter, Omri Ross 2021-02-25T10:28:28Z 置信度 0.78 cs.CR
• Emerging technologies in physics education
  Three emerging technologies in physics education are evaluated from the interdisciplinary perspective of cognitive science and physics education research. The technologies - Physlet Physics, the Andes Intelligent Tutoring System (ITS), and Microcomputer-Based …
  arxiv Zosia A. C. Krusberg 2007-03-24T07:18:40Z 置信度 0.78 physics.ed-phphysics.gen-ph
• Learning Higher-order Object Interactions for Keypoint-based Video Understanding
  Action recognition is an important problem that requires identifying actions in video by learning complex interactions across scene actors and objects. However, modern deep-learning based networks often require significant computation, and may capture scene co…
  arxiv Yi Huang, Asim Kadav, Farley Lai, Deep Patel 等 2023-05-16T15:30:33Z 置信度 0.78 cs.CV
• Variationally Mimetic Operator Networks
  In recent years operator networks have emerged as promising deep learning tools for approximating the solution to partial differential equations (PDEs). These networks map input functions that describe material properties, forcing functions and boundary data t…
  arxiv Dhruv Patel, Deep Ray, Michael R. A. Abdelmalik, Thomas J. R. Hughes 等 2022-09-26T17:39:53Z 置信度 0.78 math.NAcs.LG
• Blockchain Technology Overview
  Blockchains are tamper evident and tamper resistant digital ledgers implemented in a distributed fashion (i.e., without a central repository) and usually without a central authority (i.e., a bank, company, or government). At their basic level, they enable a co…
  arxiv Dylan Yaga, Peter Mell, Nik Roby, Karen Scarfone 2019-06-26T13:20:44Z 置信度 0.78 cs.CRcs.DB
• Chord Label Personalization through Deep Learning of Integrated Harmonic Interval-based Representations
  The increasing accuracy of automatic chord estimation systems, the availability of vast amounts of heterogeneous reference annotations, and insights from annotator subjectivity research make chord label personalization increasingly important. Nevertheless, aut…
  arxiv H. V. Koops, W. B. de Haas, J. Bransen, A. Volk 2017-06-29T02:38:02Z 置信度 0.78 cs.SDcs.MMcs.NE
• Electromagnetic fields induced by surface ring waves in the deep sea
  The paper deals with electromagnetic effects associated with a radially symmetric system of progressive surface waves in the deep sea, induced by underwater oscillating sources or by dispersive decay of the initial localized perturbations of the sea surface.
  arxiv S. B. Kozitskiy 2014-07-14T00:17:43Z 置信度 0.78 physics.ao-ph
• A simple model for the short-time evolution of near-surface current and temperature profiles
  A simple analytical/numerical model has been developed for computing the evolution, over periods of up to a few hours, of the current and temperature profile in the upper layer of the ocean. The model is based upon conservation laws for heat and momentum, and …
  arxiv Alastair D. Jenkins, Brian Ward 2005-03-23T22:38:05Z 置信度 0.78 physics.ao-phphysics.flu-dyn
• The VIMOS VLT Deep Survey: Public release of 1599 redshifts to IAB<=24 across the Chandra Deep Field South
  {This paper presents the VIMOS VLT Deep Survey around the Chandra Deep Field South (CDFS). We have measured 1599 new redshifts with VIMOS on the European Observatory Very Large Telescope - UT3, in an area 21x21.6 arcmin^2, including 784 redshifts in the Hubble…
  arxiv O. Le Fevre, G. Vettolani, S. Paltani, L. Tresse 等 2004-03-26T18:12:19Z 置信度 0.78 astro-ph
• Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder
  Medical image fusion integrates the complementary diagnostic information of the source image modalities for improved visualization and analysis of underlying anomalies. Recently, deep learning-based models have excelled the conventional fusion methods by execu…
  arxiv Manisha Das, Deep Gupta, Petia Radeva, Ashwini M Bakde 2023-10-18T11:59:35Z 置信度 0.78 eess.IVcs.CVcs.LG
• Shrinking the Haystack: One-Class Machine Learning Detection of Magnetosheath Current Sheets in MMS Burst Data
  We present a morphology-first framework for narrowing the search for magnetic-reconnection candidates in Magnetospheric Multiscale (MMS) burst-mode data. The target is the small, short, and frequently electron-only reconnecting current sheets that occur in tur…
  arxiv Deep Ghuge, Daniel J. Gershman, Vadim Uritsky, Julia E. Stawarz 2026-07-31T19:47:41Z 置信度 0.78 physics.space-ph
• Multicriteria Analysis of Decentralized Wastewater Treatment Technologies for the Philippines
  This research focuses on decentralized wastewater treatment (DEWAT) technologies for the Philippines that is motivated by the limited suitable wastewater treatment infrastructure in the country. A multi-criteria analysis (MCA), using the Analytic Hierarchy Pro…
  arxiv Egberto Selerio 2024-10-29T19:20:55Z 置信度 0.78 stat.AP
• Employing Virtualization for Information Technology Education
  This manuscript presents teaching and curriculum design for Information Technology classes. Today, students demand hands-on activities for the newest technologies. It is feasible to satisfy this appetite for exciting education by employing server virtualizatio…
  arxiv Timur Mirzoev 2014-04-08T14:56:27Z 置信度 0.78 cs.CYcs.DC
• Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment
  Artificial intelligence (AI) is increasingly explored across deep brain stimulation (DBS) for movement disorders, yet whether current systems are approaching deployment remains unclear. To characterise their scope, validation maturity, and translational readin…
  arxiv Zohra Souei, Muhammad Mushhood Ur Rehman, Harith Akram, Jocelyne Bloch 等 2026-07-29T09:22:59Z 置信度 0.78 q-bio.NC
• SCUBA deep fields and source confusion
  Deep submillimetre(submm)-wave surveys made over the last three years using the SCUBA camera at the 15-m James Clerk Maxwell Telescope (JCMT) have revealed a new population of very luminous high-redshift galaxies. The properties of this population, and their c…
  arxiv Andrew W. Blain 2000-11-26T16:33:14Z 置信度 0.78 astro-ph
• Educational Technology as Seen Through the Eyes of the Readers
  In this paper, I present the evaluation of a novel knowledge domain visualization of educational technology. The interactive visualization is based on readership patterns in the online reference management system Mendeley. It comprises of 13 topic areas, spann…
  arxiv Peter Kraker 2014-12-19T17:55:53Z 置信度 0.78 cs.DLcs.CY
• Blind Motion Deblurring through SinGAN Architecture
  Blind motion deblurring involves reconstructing a sharp image from an observation that is blurry. It is a problem that is ill-posed and lies in the categories of image restoration problems. The training data-based methods for image deblurring mostly involve tr…
  arxiv Harshil Jain, Rohit Patil, Indra Deep Mastan, Shanmuganathan Raman 2020-11-07T06:09:16Z 置信度 0.78 cs.CV
• Whipped and mixed warm clouds in the deep sea
  Turbulence is indispensable to redistribute nutrients for all life forms larger than microbial, on land and in the ocean. Yet, the development of deep-sea turbulence was not studied in three dimensions to date. As a disproportionate laboratory, an array of nea…
  arxiv Hans van Haren 2025-10-10T15:26:07Z 置信度 0.78 physics.flu-dynphysics.ao-ph
• Deep seawater inherent optical properties in the Southern Ionian Sea
  The NEMO (NEutrino Mediterranean Observatory) Collaboration has been carrying out since 1998 an evaluation programme of deep sea sites suitable for the construction of the future Mediterranean km3 Cerenkov neutrino telescope. We investigated the seawater optic…
  arxiv G. Riccobene, A. Capone, the NEMO collaboration 2006-03-25T16:02:38Z 置信度 0.78 astro-ph
• Contact Tracing: An Overview of Technologies and Cyber Risks
  The 2020 COVID-19 pandemic has led to a global lockdown with severe health and economical consequences. As a result, authorities around the globe have expressed their needs for better tools to monitor the spread of the virus and to support human labor. Researc…
  arxiv Franck Legendre, Mathias Humbert, Alain Mermoud, Vincent Lenders 2020-07-06T15:10:20Z 置信度 0.78 cs.CRcs.CY
• Pedestrian Detection in Thermal Images using Saliency Maps
  Thermal images are mainly used to detect the presence of people at night or in bad lighting conditions, but perform poorly at daytime. To solve this problem, most state-of-the-art techniques employ a fusion network that uses features from paired thermal and co…
  arxiv Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty 等 2019-04-15T05:42:44Z 置信度 0.78 cs.CV
• On the physics and technology of gaseous particle detectors
  Despite an already long and fruitful history, gaseous elementary-particle detectors remain today an important mainstay of high-energy and nuclear physics experiments and of radiation detection in general. In here we briefly describe some of the gaseous detecto…
  arxiv P. Fonte, V. Peskov 2009-09-14T23:10:47Z 置信度 0.78 physics.ins-det
• Deep learning for photoacoustic imaging: a survey
  Machine learning has been developed dramatically and witnessed a lot of applications in various fields over the past few years. This boom originated in 2009, when a new model emerged, that is, the deep artificial neural network, which began to surpass other es…
  arxiv Changchun Yang, Hengrong Lan, Feng Gao, Fei Gao 2020-08-10T15:53:30Z 置信度 0.78 cs.CVeess.IV
• How much has information technology contributed to linguistics?
  Information technology should have much to offer linguistics, not only through the opportunities offered by large-scale data analysis and the stimulus to develop formal computational models, but through the chance to use language in systems for automatic natur…
  arxiv Karen Sparck Jones 1997-02-17T12:35:16Z 置信度 0.78 cs.CL
• IceBench: A Benchmark for Deep Learning based Sea Ice Type Classification
  Sea ice plays a critical role in the global climate system and maritime operations, making timely and accurate classification essential. However, traditional manual methods are time-consuming, costly, and have inherent biases. Automating sea ice type classific…
  arxiv Samira Alkaee Taleghan, Andrew P. Barrett, Walter N. Meier, Farnoush Banaei-Kashani 2025-03-22T23:14:50Z 置信度 0.78 cs.CVcs.LG
• Advancements in Biometric Technology with Artificial Intelligence
  Authentication plays a significant part in dealing with security in public and private sectors such as healthcare systems, banking system, transportation system and law and security. Biometric technology has grown quickly recently, especially in the areas of a…
  arxiv Konark Modi, Lakshmipathi Devaraj 2022-12-16T11:11:12Z 置信度 0.78 cs.CR
• Multi-level Encoder-Decoder Architectures for Image Restoration
  Many real-world solutions for image restoration are learning-free and based on handcrafted image priors such as self-similarity. Recently, deep-learning methods that use training data have achieved state-of-the-art results in various image restoration tasks (e…
  arxiv Indra Deep Mastan, Shanmuganathan Raman 2019-05-01T14:13:51Z 置信度 0.78 eess.IVcs.CV
• Can Science and Technology Capacity be Measured?
  The ability of a nation to participate in the global knowledge economy depends to some extent on its capacities in science and technology. In an effort to assess the capacity of different countries in science and technology, this article updates a classificati…
  arxiv Caroline S. Wagner, Edwin Horlings, Arindum Dutta 2015-01-27T15:19:17Z 置信度 0.78 stat.APcs.DLphysics.soc-ph
• Computational Social Science and Critical Studies of Education and Technology: An Improbable Combination?
  As belief around the potential of computational social science grows, fuelled by recent advances in machine learning, data scientists are ostensibly becoming the new experts in education. Scholars engaged in critical studies of education and technology have so…
  arxiv Rebecca Eynon, Nabeel Gillani 2025-09-02T19:21:07Z 置信度 0.78 cs.CY
• Blockchain in the Government Technology Fabric
  Fuelled by the success (and hype) around cryptocurrencies, distributed ledger technologies (DLT), particularly blockchains, have gained a lot of attention from a wide spectrum of audience who perceive blockchains as a key to carry out business processes that h…
  arxiv Anwitaman Datta 2019-05-21T09:39:14Z 置信度 0.78 cs.CYcs.CR
• Neural post-Einsteinian framework for efficient theory-agnostic tests of general relativity with gravitational waves
  The parametrized post-Einsteinian (ppE) framework and its variants are widely used to probe gravity through gravitational-wave tests that apply to a large class of theories beyond general relativity. However, the ppE framework is not truly theory-agnostic as i…
  arxiv Yiqi Xie, Deep Chatterjee, Gautham Narayan, Nicolás Yunes 2024-03-27T18:35:26Z 置信度 0.78 gr-qcastro-ph.HE
• Language Resources and Technologies for Non-Scheduled and Endangered Indian Languages
  In the present paper, we will present a survey of the language resources and technologies available for the non-scheduled and endangered languages of India. While there have been different estimates from different sources about the number of languages in India…
  arxiv Ritesh Kumar, Bornini Lahiri 2022-04-06T13:33:24Z 置信度 0.78 cs.CL
• Superconducting RF Technology R&D for Future Accelerator Applications
  Superconducting rf technology (SRF) is evolving rapidly as are its applications. While there is active exploitation of what one may term the current state-of-the-practice, there is also rapid progress expanding in several dimensions the accessible and useful p…
  arxiv Charles E. Reece, Gianluigi Ciovati 2012-08-09T17:37:25Z 置信度 0.78 physics.acc-ph
• Measurements of light transmission in deep sea with the AC9 trasmissometer
  The NEMO Collaboration aims to construct an underwater Cerenkov detector in the Mediterranean Sea, able to act as a neutrino telescope. One of the main tasks of this project, which implies difficult technological challenges, is the selection of an adequate mar…
  arxiv Antonio Capone, Tullio Digaetano, Antonio Grimaldi, Roberto Habel 等 2001-09-01T10:05:37Z 置信度 0.78 astro-ph
• Rogue Waves and Large Deviations in Deep Sea
  The appearance of rogue waves in deep sea is investigated using the modified nonlinear Schrödinger (MNLS) equation in one spatial-dimension with random initial conditions that are assumed to be normally distributed, with a spectrum approximating realistic cond…
  arxiv Giovanni Dematteis, Tobias Grafke, Eric Vanden-Eijnden 2017-04-05T15:41:09Z 置信度 0.78 physics.flu-dynmath.DSphysics.ao-ph
• Big Data Platform Architecture Under The Background of Financial Technology
  With the rise of the concept of financial technology, financial and technology gradually in-depth integration, scientific and technological means to become financial product innovation, improve financial efficiency and reduce financial transaction costs an imp…
  arxiv Yi Liu, Jiawen Peng, Zhihao Yu 2019-01-20T02:39:26Z 置信度 0.78 cs.CY
• Assimilation of machine learning-predicted nitrate to improve the quality of phytoplankton forecasting in the shelf sea environment
  We demonstrate that assimilating Neural Network (NN)-predicted surface nitrate leads to a major improvement in phytoplankton short-range (1-5 day) dynamical model forecasts for the North-West European Shelf (NWES) seas. We show that assimilation of only ocean …
  arxiv Deep S Banerjee, Jozef Skakala, David Ford 2025-08-04T13:26:16Z 置信度 0.78 q-bio.QM
• Defining a classification system for augmentation technology in socio-technical terms
  This short paper provides a means to classify augmentation technologies to reconceptualize them as sociotechnical, discursive and rhetorical phenomena, rather than only through technological classifications. It identifies a set of value systems that constitute…
  arxiv Isabel Pedersen, Ann Hill Duin 2025-09-11T18:36:31Z 置信度 0.78 cs.CY
• SEA-Nav: Efficient Policy Learning for Safe and Agile Quadruped Navigation in Cluttered Environments
  Efficiently training quadruped robot navigation in densely cluttered environments remains a significant challenge. Existing methods are either limited by a lack of safety and agility in simple obstacle distributions or suffer from slow locomotion in complex en…
  arxiv Shiyi Chen, Mingye Yang, Haiyan Mao, Jiaqi Zhang 等 2026-03-10T10:13:49Z 置信度 0.78 cs.RO
• Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation
  To segment medical images with distribution shifts, domain generalization (DG) has emerged as a promising setting to train models on source domains that can generalize to unseen target domains. Existing DG methods are mainly based on CNN or ViT architectures. …
  arxiv Zihan Cheng, Jintao Guo, Jian Zhang, Lei Qi 等 2025-04-24T12:57:25Z 置信度 0.78 cs.CV
• Strategic Intelligence on Emerging Technologies: Scientometric Overlay Mapping
  This paper examines the use of scientometric overlay mapping as a tool of 'strategic intelligence' to aid the governance of emerging technologies. We develop an integrative synthesis of different overlay mapping techniques and associated perspectives on techno…
  arxiv Daniele Rotolo, Ismael Rafols, Michael Hopkins, Loet Leydesdorff 2013-03-19T17:44:58Z 置信度 0.78 cs.DL
• Why & When Deep Learning Works: Looking Inside Deep Learnings
  The Intel Collaborative Research Institute for Computational Intelligence (ICRI-CI) has been heavily supporting Machine Learning and Deep Learning research from its foundation in 2012. We have asked six leading ICRI-CI Deep Learning researchers to address the …
  arxiv Ronny Ronen 2017-05-10T18:52:26Z 置信度 0.78 cs.LG
• PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Medical Image Analysis
  The recent advances in deep learning (DL) have been accelerated by access to large-scale data and compute. These large-scale resources have been used to train progressively larger models which are resource intensive in terms of compute, data, energy, and carbo…
  arxiv Raghavendra Selvan, Bob Pepin, Christian Igel, Gabrielle Samuel 等 2024-03-19T09:17:18Z 置信度 0.78 cs.LGcs.AIstat.ML
• Periodic fluctuations in deep water formation due to sea ice
  During the last ice age several quasi-periodic abrupt warming events took place. Known as Dansgaard-Oeschger (DO) events their effects were felt globally, although the North Atlantic experienced the largest temperature anomalies. Paleoclimate data shows that t…
  arxiv Raj Saha 2015-02-21T02:45:54Z 置信度 0.78 physics.ao-phnlin.CD
• Drilling technology
  crossref 2003-08-06T15:17:06Z 置信度 0.70
• Legal Status of the Deep Sea-Bed Mineral Resources
  crossref Yuwen Li 2021-10-31T22:01:45Z 置信度 0.70