convolutional neural networks

https://arxiv.org/abs/2102.05738v2 [2102.05738v2] Refinement of polygonal grids using Convolutional Neural Networks with applications... Abstract page for arXiv paper 2102.05738v2: Refinement of polygonal grids using Convolutional Neural Networks with applications to polygonal Discontinuous... convolutional neural networks https://meetings-archive.aps.org/smt/2025/apr-b16/6/ Using Convolutional Neural Networks and Latent Conditional Diffusion to Speed Up 3D Coherent... An electron bunch undergoing circular motion emits synchrotron radiation. For the part of the spectrum where wavelengths exceed the bunch length, the radiation convolutional neural networks https://research.tue.nl/en/publications/functional-properties-of-pde-based-group-equivariant-convolutiona/ Functional Properties of PDE-Based Group Equivariant Convolutional Neural Networks - Research... convolutional neural networks functional properties pde based https://isprs-archives.copernicus.org/articles/XLVI-3-W1-2022/61/2022/isprs-archives-XLVI-3-W1-2022-61-2022-relations.html ISPRS-ARCHIVES - Relations - CONVOLUTIONAL NEURAL NETWORKS BASED GNSS SIGNAL CLASSIFICATION USING... convolutional neural networks isprs archives gnss signal relations https://www.helsinki.fi/en/researchgroups/inverse-problems/seminars/some-experiments-with-convolutional-neural-networks-using-complex-geometric-solutions-for-the-clasification-of-stroke-using-eit Some experiments with Convolutional Neural Networks using Complex Geometric Solutions for the... Rashmi Murthy (University of Helsinki) 21.10.2019, Exactum C124, 2pm-3pm convolutional neural networks https://pubmed.ncbi.nlm.nih.gov/29512516/ Efficient organ localization using multi-label convolutional neural networks in thorax-abdomen CT... Automatic localization of organs and other structures in medical images is an important preprocessing step that can improve and speed up other algorithms such... convolutional neural networks https://fr.mathworks.com/help/deeplearning/ug/introduction-to-convolutional-neural-networks.html Learn About Convolutional Neural Networks - MATLAB & Simulink An introduction to convolutional neural networks and how they work in MATLAB. convolutional neural networks learn about matlab simulink https://publications-cnrc.canada.ca/eng/view/object/?id=7a021653-1b1a-49d5-80fe-7e4e3ad7b72e Railway joint detection using deep convolutional neural networks - NRC Publications Archive -... Railway joint detection using deep convolutional neural networks convolutional neural networks railway joint detection using https://is.mpg.de/publications/sinhofsch23 The Hessian perspective into the Nature of Convolutional Neural Networks | MPI-IS Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to... convolutional neural networks into nature hessian perspective https://pure.psu.edu/en/publications/geographical-feature-classification-from-text-using-active-convol/ Geographical feature classification from text using (active) convolutional neural networks - Penn... convolutional neural networks geographical feature classification text https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/5137/blood-pressure-estimation-from-ppg-signals-using-convolutional-neural-networkssiamese-network Blood Pressure Estimation From Ppg Signals Using Convolutional Neural Networks And Siamese Network... Blood pressure (BP) is a vital sign of the human body and an important parameter for early detection of cardiovascular diseases. It is usually measured using... convolutional neural networks https://collaborate.princeton.edu/en/publications/from-convolutional-neural-networks-to-models-of-higher-level-cogn/fingerprints/ From convolutional neural networks to models of higher-level cognition (and back again) -... convolutional neural networks https://www.sei.cmu.edu/library/graph-convolutional-neural-networks-3/ Graph Convolutional Neural Networks | CMU Software Engineering Institute This project used graph signal processing formalisms to create new deep learning tools for graph convolutional neural networks (GCNNs). convolutional neural networks software engineering graph cmu institute https://par.nsf.gov/biblio/10085479-deep-convolutional-neural-networks-automated-characterization-arctic-ice-wedge-polygons-very-high-spatial-resolution-aerial-imagery Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in... This page contains metadata information for the record with PAR ID 10085479 convolutional neural networks https://www.mdpi.com/1424-8220/22/22/8714 Performance Comparison of Multiple Convolutional Neural Networks for Concrete Defects Classification Periodical vision-based inspection is a principal form of structural health monitoring (SHM) technique. Over the last decades, vision-based artificial... convolutional neural networks performance comparison multiple https://amsdottorato.unibo.it/id/eprint/10345/ Interpretable Convolutional Neural Networks for Decoding and Analyzing Neural Time Series Data convolutional neural networks time series https://www.sei.cmu.edu/library/graph-convolutional-neural-networks-gcnn-collection/ Graph Convolutional Neural Networks (GCNN) Collection | CMU Software Engineering Institute These publications describe the SEI's applied graph signal processing techniques that create new tools for GCNNs. convolutional neural networks software engineering graph collection cmu https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/6289 Person Identification Using Deep Convolutional Neural Networks On Short-Term Signals From Wearable... In this work, we explore the discriminating ability of short-term signal patterns (e.g. few minutes long) with respect to the person identification task. We... convolutional neural networks https://www.mdpi.com/2227-7080/13/5/173 Multi-Domain Feature Incorporation of Lightweight Convolutional Neural Networks and Handcrafted... This study presents a computer-aided diagnostic (CAD) framework that integrates multi-domain features through a hybrid methodology. The system uses several... convolutional neural networks multi domain feature incorporation https://idre.ucla.edu/calendar-event/learning-convolutional-neural-networks-2 Learning Convolutional Neural Networks (2) - Institute for Digital Research and Education convolutional neural networks institute for digital research learning https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/6814/multiple-points-input-for-convolutional-neural-networks-in-replay-attack-detection Multiple Points Input For Convolutional Neural Networks In Replay Attack Detection | IEEETV The models based on convolutional neural network (CNN) have shown remarkable performance in spoofing detection for automatic speaker verification. In order to... convolutional neural networks https://fis.tu-dresden.de/portal/de/publications/convolutional-neural-networks-improve-decoding-of-selective-attention-to-speech-in-cochlear-implants-users(c4acc6ba-5c04-4d52-a711-67483f1e8267).html Convolutional neural networks improve decoding of selective attention to speech in cochlear... convolutional neural networks https://ieeetv.ieee.org/ondemand/author-identification-of-micro-messages-via-multi-channel-convolutional-neural-networks Author Identification of Micro Messages via Multi Channel Convolutional Neural Networks | IEEETV convolutional neural networks https://ibme.ox.ac.uk/publication/ensemble-of-convolutional-neural-networks-improves-automated-segmentation-of-acute-ischemic-lesions-using-multiparametric-diffusion-weighted-mri/ Ensemble of Convolutional Neural Networks Improves Automated Segmentation of Acute Ischemic Lesions... convolutional neural networks ensemble https://lmb.informatik.uni-freiburg.de/Publications/2014/FDB14/ Descriptor Matching with Convolutional Neural Networks: a Comparison to SIFT convolutional neural networks descriptor matching comparison sift https://www.ojp.gov/library/publications/using-convolutional-neural-networks-support-examiners-duct-tape-physical-fit Using convolutional neural networks to support examiners in duct tape physical fit comparisons |... This study tested a machine-learning model meant to provide objective support for a physical fit examination of duct tapes. convolutional neural networks https://research.tudelft.nl/en/publications/conformal-automation-for-air-traffic-control-using-convolutional-/ Conformal automation for air traffic control using convolutional neural networks - TU Delft... air traffic control convolutional neural networks https://ieeetv.ieee.org/ondemand/blind-natural-image-quality-prediction-using-convolutional-neural-networks-and-weighted-spatial-pooling BLIND NATURAL IMAGE QUALITY PREDICTION USING CONVOLUTIONAL NEURAL NETWORKS AND WEIGHTED SPATIAL... convolutional neural networks natural image https://portal.fis.tum.de/en/publications/training-convolutional-neural-networks-with-synthesized-data-for-/ Training Convolutional Neural Networks with Synthesized Data for Object Recognition in Industrial... convolutional neural networks https://www.cs.cit.tum.de/en/sccs/news/news/article/hanqi-huo-transformations-between-fully-connected-and-convolutional-neural-networks/ Hanqi Huo: Transformations between fully connected and convolutional neural networks - Chair of... convolutional neural networks https://se.mathworks.com/matlabcentral/answers/1665424-simulation-and-prediction-of-time-series-using-convolutional-neural-networks Simulation and prediction of time series using convolutional neural networks - MATLAB Answers -... Simulation and prediction of time series using... Learn more about convolutional neural network, time series MATLAB convolutional neural networks of time https://developer.nvidia.com/gtc-dc/2019/video/dc91241 GTC-DC 2019: Visual Inspection with Convolutional Neural Networks (Presented by Lockheed Martin) |... convolutional neural networks https://ieeetv.ieee.org/ondemand/violence-detection-in-videos-using-deep-recurrent-and-convolutional-neural-networks Violence Detection in Videos Using Deep Recurrent and Convolutional Neural Networks | IEEETV convolutional neural networks violence detection in videos https://www.usace.army.mil/Media/News-Releases/News-Release-Article-View/Article/2162899/publication-notice-use-of-convolutional-neural-networks-for-semantic-image-segm/ PUBLICATION NOTICE: Use of Convolutional Neural Networks for Semantic Image Segmentation Across... ABSTRACT: The advent of powerful computing platforms coupled with deep learning architectures have resulted in novel approaches to tackle many traditional... convolutional neural networks publication notice https://arxiv.org/abs/2005.05930 [2005.05930] Localized convolutional neural networks for geospatial wind forecasting Abstract page for arXiv paper 2005.05930: Localized convolutional neural networks for geospatial wind forecasting convolutional neural networks localized geospatial wind forecasting https://scholarspace.manoa.hawaii.edu/items/f41f2272-230c-48f9-a4e3-327438f570e4 Utilizing Convolutional Neural Networks and Eye-Tracking Data for Classroom Attention Tracking convolutional neural networks eye tracking for classroom utilizing https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/6468/framebased-overlapping-speech-detection-using-convolutional-neural-networks Frame-Based Overlapping Speech Detection Using Convolutional Neural Networks | IEEETV Naturalistic speech recordings usually contain speech signals from multiple speakers. This phenomenon can degrade the performance of speech technologies due to... convolutional neural networks frame based overlapping speech https://pure.psu.edu/en/publications/identifying-informative-messages-in-disaster-events-using-convolu/ Identifying informative messages in disaster events using Convolutional Neural Networks - Penn State convolutional neural networks disaster events https://data.mendeley.com/datasets/22h6bdcyjx/1 Deep Mutational Scanning, Convolutional Neural Networks, and COVID-19 - Mendeley Data Abstract Biochemical phenotypes are major indexes for protein structure and function characterization. They are determined, at least in part, by the intrinsic... convolutional neural networks deep scanning https://pmc.ncbi.nlm.nih.gov/articles/PMC11393140/ Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A... In the rapidly evolving field of medical image analysis utilizing artificial intelligence (AI), the selection of appropriate computational models is critical... convolutional neural networks https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/6032/a-fifo-based-accelerator-for-convolutional-neural-networks A Fifo Based Accelerator For Convolutional Neural Networks | IEEETV In recent years, Deep Neural Networks (DNNs) have achieved state-of-the-art results in various fields like Computer Vision, Natural Language Processing and... convolutional neural networks fifo based accelerator https://repository.tudelft.nl/record/uuid:186c89ec-cecb-4a32-96bf-9763935b462e Satellite-derived bathymetry using convolutional neural networks and multispectral sentinel-2... convolutional neural networks satellite derived bathymetry using https://arxiv.org/abs/2512.12399 [2512.12399] Hybrid algorithm combining matched filtering and convolutional neural networks for... Abstract page for arXiv paper 2512.12399: Hybrid algorithm combining matched filtering and convolutional neural networks for searching gravitational waves from... convolutional neural networks https://www.coursera.org/learn/convolutional-neural-networks-tensorflow/reviews Learner Reviews & Feedback for Convolutional Neural Networks in TensorFlow Course | Coursera Find helpful learner reviews, feedback, and ratings for Convolutional Neural Networks in TensorFlow from DeepLearning.AI. Read stories and highlights from... convolutional neural networks learner reviews feedback https://www.mdpi.com/1424-8220/22/9/3272 Hybrid Loss-Constrained Lightweight Convolutional Neural Networks for Cervical Cell Classification Artificial intelligence (AI) technologies have resulted in remarkable achievements and conferred massive benefits to computer-aided systems in medical imaging.... convolutional neural networks hybrid loss constrained lightweight https://www.ifp.uni-stuttgart.de/en/research/remote_sensing/als_point_cloud_classification/ ALS Point Cloud Classification with Convolutional Neural Networks | Institute for Photogrammetry... Analysis of point clouds from airborne laserscanning with special types of convolutional neural networks. point cloud classification convolutional neural networks institute for als https://github.com/samaonline/Orthogonal-Convolutional-Neural-Networks GitHub - samaonline/Orthogonal-Convolutional-Neural-Networks: Code for paper "Orthogonal... Code for paper "Orthogonal Convolutional Neural Networks". - GitHub - samaonline/Orthogonal-Convolutional-Neural-Networks: Code for paper "Orthogonal... convolutional neural networks github orthogonal code paper https://pure.psu.edu/en/publications/lychee-surface-defect-detection-based-on-deep-convolutional-neura/ Lychee surface defect detection based on deep convolutional neural networks with GAN-based data... convolutional neural networks https://lnu.diva-portal.org/smash/record.jsf?faces-redirect=true&language=sv&searchType=SIMPLE&query=&af=%5B%5D&aq=%5B%5B%5D%5D&aq2=%5B%5B%5D%5D&aqe=%5B%5D&pid=diva2%3A1362698&noOfRows=50&sortOrder=author_sort_asc&sortOrder2=title_sort_asc&onlyFullText=false&sf=all 1-D Convolutional Neural Networks for Signal Processing Applications convolutional neural networks signal processing applications https://www.coursera.org/learn/convolutional-neural-networks/reviews?page=7 Learner Reviews & Feedback for Convolutional Neural Networks Course | Coursera Find helpful learner reviews, feedback, and ratings for Convolutional Neural Networks from DeepLearning.AI. Read stories and highlights from Coursera learners... convolutional neural networks learner reviews feedback course https://researchconnect.buffalo.edu/en/publications/cascaded-ensemble-of-convolutional-neural-networks-and-handcrafte/ Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection -... convolutional neural networks https://iro.uiowa.edu/esploro/outputs/preprint/G-PARC-Graph-Physics-Aware-Recurrent-Convolutional-Neural/9985154892502771 G-PARC: Graph-Physics Aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics on... Physics-aware recurrent convolutional networks (PARC) have demonstrated strong performance in predicting nonlinear spatiotemporal dynamics by embedding... convolutional neural networks https://pubmed.ncbi.nlm.nih.gov/35692896/ Knowledge distillation with ensembles of convolutional neural networks for medical image... convolutional neural networks knowledge distillation for medical ensembles https://publica.fraunhofer.de/entities/publication/4bf00cb5-aaab-45d7-8de3-6607dd85077a Encoding spatio-temporal coordinates in convolutional neural networks for seismic data processing Seismic data processing plays a vital role in transforming raw seismic recordings into interpretable images of the subsurface. While Convolutional Neural... convolutional neural networks https://eprints.soton.ac.uk/483914/ Microstructural image based convolutional neural networks for efficient prediction of full-field... convolutional neural networks https://os.copernicus.org/articles/21/113/2025/ OS - Convolutional neural networks for sea surface data assimilation in operational ocean models:... Abstract. Deep learning models have demonstrated remarkable success in fields such as language processing and computer vision, routinely employed for tasks... convolutional neural networks https://arxiv.org/abs/1306.2795 [1306.2795] Recurrent Convolutional Neural Networks for Scene Parsing Abstract page for arXiv paper 1306.2795: Recurrent Convolutional Neural Networks for Scene Parsing convolutional neural networks recurrent scene parsing https://isprs-archives.copernicus.org/articles/XLII-2-W15/871/2019/isprs-archives-XLII-2-W15-871-2019.html ISPRS-Archives - DEEP CONVOLUTIONAL NEURAL NETWORKS FOR SENTIMENT ANALYSIS OF CULTURAL HERITAGE convolutional neural networks isprs archives https://impact.ornl.gov/en/publications/paediatric-frontal-chest-radiograph-screening-with-fine-tuned-con/ Paediatric frontal chest radiograph screening with fine-tuned convolutional neural networks - Oak... convolutional neural networks https://amslaurea.unibo.it/id/eprint/22216/ Convolutional Neural Networks for the Classification of Olive Oil Geographical Origin - AMS Tesi di... convolutional neural networks https://www.coursera.org/learn/convolutional-neural-networks?authMode=login Convolutional Neural Networks | Coursera Offered by DeepLearning.AI. In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved ... Enroll for free. convolutional neural networks coursera https://conservancy.umn.edu/items/b599ea44-9f16-431c-90b6-5b2c196edd49 Data from: The Unreasonable Effectiveness of Convolutional Neural Networks in Population Genetic... Large neural network training data sets. The corresponding code for training can be found here: https://github.com/flag0010/pop_gen_cnn Both the data sets and... convolutional neural networks from the https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/5499/corrdrop-correlation-based-dropout-for-convolutional-neural-networks Corrdrop: Correlation Based Dropout For Convolutional Neural Networks | IEEETV Convolutional neural networks (CNNs) can be easily over-fitted when they are over-parametered. The popular dropout that drops feature units randomly can't... convolutional neural networks correlation based dropout https://github.com/BichenWuUCB/SqueezeSeg GitHub - BichenWuUCB/SqueezeSeg: Implementation of SqueezeSeg, convolutional neural networks for... Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation - BichenWuUCB/SqueezeSeg convolutional neural networks github implementation https://research.wur.nl/en/publications/multi-output-1-dimensional-convolutional-neural-networks-for-simu/ Multi-output 1-dimensional convolutional neural networks for simultaneous prediction of different... convolutional neural networks https://ieeetv.ieee.org/ondemand/ieee-isbi-2020-virtual-conference-april-2020/2994/geometric-understanding-of-convolutional-neural-networks Geometric Understanding of Convolutional Neural Networks | IEEETV Encoder-decoder networks using convolutional neural network (CNN) architecture have been extensively used in deep learning literatures thanks to its excellent... convolutional neural networks geometric understanding https://cs231n.stanford.edu/2015/ Stanford University CS231n: Convolutional Neural Networks for Visual Recognition convolutional neural networks stanford university visual recognition https://www.coursera.org/learn/convolutional-neural-networks/?authMode=login Convolutional Neural Networks | Coursera Offered by DeepLearning.AI. In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved ... Enroll for free. convolutional neural networks coursera https://www.mdpi.com/1424-8220/22/22/8762 Efficient Integrity-Tree Structure for Convolutional Neural Networks through Frequent Counter... Advancements in convolutional neural network (CNN) have resulted in remarkable success in various computing fields. However, the need to protect data against... convolutional neural networks efficient integrity tree structure https://cir.nii.ac.jp/crid/1370021390573874949 SpaCy 2: natural language understanding with Bloom embeddings, convolutional neural networks and... convolutional neural networks natural language https://portal.fis.tum.de/en/publications/learning-deep-movement-primitives-using-convolutional-neural-netw-2/ Learning deep movement primitives using convolutional neural networks - Technical University of... convolutional neural networks technical university learning deep movement https://nrc-publications.canada.ca/eng/view/object/?id=1237329f-fe08-4c94-bca6-65079da70938 Time frequency representations and deep convolutional neural networks: a recipe for molecular... Time frequency representations and deep convolutional neural networks: a recipe for molecular properties prediction convolutional neural networks https://lnu.diva-portal.org/smash/record.jsf?pid=diva2%3A1362698 1-D Convolutional Neural Networks for Signal Processing Applications convolutional neural networks signal processing applications https://portal.fis.tum.de/en/publications/attention-based-atrous-convolutional-neural-networks-visualisatio/ Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives... convolutional neural networks attention based visualisation understanding https://openresearch.surrey.ac.uk/esploro/outputs/conferenceProceeding/Robust-3D-Face-Alignment-with-Efficient/99771850802346 Robust 3D Face Alignment with Efficient Fully Convolutional Neural Networks - University of Surrey Jan 1, 2019 - 3D face alignment from monocular images is a crucial process in computer vision with applications to face recognition, animation and other areas. However, most... convolutional neural networks https://scholars.cityu.edu.hk/en/publications/light-field-based-face-liveness-detection-with-convolutional-neur/fingerprints/ Light field-based face liveness detection with convolutional neural networks - Fingerprint -... face liveness detection convolutional neural networks light field based https://par.nsf.gov/biblio/10544319-impact-white-box-adversarial-attacks-convolutional-neural-networks Impact of White-Box Adversarial Attacks on Convolutional Neural Networks. | NSF Public Access... This page contains metadata information for the record with PAR ID 10544319 convolutional neural networks https://cordis.europa.eu/project/id/895412/es Single Particle Cryo-EM Reconstruction with Convolutional Neural Networks | EM-PRIOR | Proyecto |... Electron cryo-microscopy (cryo-EM) is the fastest growing technique to explore the structure of biological macromolecules. To limit radiation damage, images... convolutional neural networks single particle cryo em https://bioresources.cnr.ncsu.edu/resources/one-dimensional-convolutional-neural-networks-with-infrared-spectroscopy-for-classifying-the-origin-of-printing-paper/ One-dimensional convolutional neural networks with infrared spectroscopy for classifying the origin... convolutional neural networks https://mdu.diva-portal.org/smash/record.jsf?pid=diva2:1858151 A study on the application of convolutional neural networks for the maintenance of railway tracks convolutional neural networks https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0213539&ref=blog.hcinst.org Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in... The health and function of tissue rely on its vasculature network to provide reliable blood perfusion. Volumetric imaging approaches, such as multiphoton... convolutional neural networks https://ieeetv.ieee.org/ondemand/amrconvnet-amr-coded-speech-enhancement-using-convolutional-neural-networks AMRConvNet: AMR-Coded Speech Enhancement Using Convolutional Neural Networks | IEEETV convolutional neural networks speech enhancement amr coded using https://repository.tudelft.nl/record/uuid:d8926d3f-8e12-42b5-ab27-98aed37a8066 Temporal interpolation of dynamic digital humans using convolutional neural networks | TU Delft... convolutional neural networks digital humans https://extragoya.github.io/proceedings/2017-01-01-3D-Convolutional-Neural-Networks-with-Graph-Refinement-for-Airway-Segmentation-Using-Incomplete-Data-Labels 3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete... Jan 1, 2017 - Use Google Scholar for full citation convolutional neural networks https://isprs-archives.copernicus.org/articles/XLVI-3-W1-2022/61/2022/isprs-archives-XLVI-3-W1-2022-61-2022-metrics.html ISPRS-Archives - Metrics - CONVOLUTIONAL NEURAL NETWORKS BASED GNSS SIGNAL CLASSIFICATION USING... convolutional neural networks isprs archives gnss signal metrics https://www.astro.lu.se/~dainis/publication/9576b72d-bb43-44b6-b88b-3cbdce608a0c Event reconstruction using pattern spectra and convolutional neural networks for the Cherenkov... convolutional neural networks event reconstruction https://nrc-publications.canada.ca/eng/view/object/?id=97a0aa16-5206-4918-a91d-1cf7a3107164 Convolutional neural networks for atomistic systems - NRC Publications Archive - Canada.ca Convolutional neural networks for atomistic systems convolutional neural networks publications archive https://apice.unibo.it/xwiki/bin/view/Courseproject/KhiabanianMuratKashani2324 Explaining Convolutional Neural Networks: A Literature Overview and Implementation of... Explaining Convolutional Neural Networks: A Literature Overview and Implementation of Explainability Methods convolutional neural networks literature overview explaining implementation https://impacts.ucar.edu/en/publications/multi-channel-coronal-hole-detection-with-convolutional-neural-ne/ Multi-channel coronal hole detection with convolutional neural networks - Impacts @ NSF NCAR and... convolutional neural networks https://scholars.cityu.edu.hk/en/publications/adaptive-time-window-convolutional-neural-networks-concerning-mul/ Adaptive time window convolutional neural networks concerning multiple operation modes with... convolutional neural networks adaptive time window https://udspace.udel.edu/items/7a72995a-d334-417c-b86f-44618cd4d893/full Fast convolutional neural networks on graphics processing units The Convolutional Neural Networks (CNNs) architecture is one of the most widely used deep learning tools. The execution time of CNNs is dominated by the time... convolutional neural networks graphics processing fast units https://arxiv.org/abs/2102.05738v1 [2102.05738v1] Refinement of polygonal grids using Convolutional Neural Networks with applications... Abstract page for arXiv paper 2102.05738v1: Refinement of polygonal grids using Convolutional Neural Networks with applications to polygonal Discontinous... convolutional neural networks https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/5607/depthwisestft-based-separable-convolutional-neural-networks Depthwise-Stft Based Separable Convolutional Neural Networks | IEEETV In this paper, we propose a new convolutional layer called Depthwise-STFT Separable layer that can serve as an alternative to the standard Depthwise Separable... convolutional neural networks based separable https://research.birmingham.ac.uk/en/publications/pruning-convolutional-neural-networks-for-inductive-conformal-pre/ Pruning convolutional neural networks for inductive conformal prediction - University of Birmingham convolutional neural networks university of pruning https://isprs-archives.copernicus.org/articles/XLVIII-1-2024/147/2024/ ISPRS-Archives - Extracting building outlines based on convolutional neural networks using the... convolutional neural networks isprs archives https://jums.ub.uni-muenchen.de/JMS/article/view/5334 Predicting Stock Market Trends Using Convolutional Neural Networks: A Deep Learning Approach |... stock market trends convolutional neural networks https://meetings.aps.org/Meeting/MAR20/Session/L39.9 APS -APS March Meeting 2020 - Event - Using Convolutional Neural Networks to analyze phase... aps march meeting convolutional neural networks https://scholars.cityu.edu.hk/en/publications/effc-net-lightweight-fully-convolutional-neural-networks-in-remot/ EFFC-Net: lightweight fully convolutional neural networks in remote sensing disaster images -... convolutional neural networks https://pubs.rsc.org/en/Content/ArticleLanding/2020/CP/D0CP01474E Graph convolutional neural networks with global attention for improved materials property... The development of an efficient and powerful machine learning (ML) model for materials property prediction (MPP) remains an important challenge in materials... convolutional neural networks graph https://lnu.diva-portal.org/smash/record.jsf?faces-redirect=true&language=no&searchType=SIMPLE&query=&af=%5B%5D&aq=%5B%5B%5D%5D&aq2=%5B%5B%5D%5D&aqe=%5B%5D&pid=diva2%3A1362698&noOfRows=50&sortOrder=author_sort_asc&sortOrder2=title_sort_asc&onlyFullText=false&sf=all 1-D Convolutional Neural Networks for Signal Processing Applications convolutional neural networks signal processing applications

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