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https://bigjpg.com/ Bigjpg - AI Super-Resolution lossless image enlarging / upscaling tool using Deep Convolutional... Bigjpg - Image Super-Resolution for Anime-style artworks using the Deep Convolutional Neural Networks without quality loss. Photos are also supported. super resolution https://en.wikipedia.org/wiki/Convolutional_neural_network Convolutional neural network - Wikipedia convolutional neural network wikipedia https://beei2.org/index.php/EEI/article/view/10998 Facial expression recognition for emotional state identification using deep convolutional neural... Facial expression recognition for emotional state identification using deep convolutional neural network facial expression recognition emotional 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://journals.plos.org/plosone/article/authors?id=10.1371/journal.pone.0226990 Single-modal and multi-modal false arrhythmia alarm reduction using attention-based convolutional... This study proposes a deep learning model that effectively suppresses the false alarms in the intensive care units (ICUs) without ignoring the true alarms... 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://www.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2023.1072479/full Frontiers | Multistage linguistic conditioning of convolutional layers for speech emotion... In this contribution, we investigate the effectiveness of deep fusion of text and audio features for categorical and dimensional speech emotion recognition (... frontiers multistage linguistic conditioning layers 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://scholars.duke.edu/publication/1530637 Scholars@Duke publication: AM-GCN: Adaptive Multi-channel Graph Convolutional Networks multi channel scholars duke publication gcn https://research.monash.edu/en/publications/classification-patient-ventilator-asynchrony-with-dual-input-conv/ Classification patient-ventilator asynchrony with dual-input convolutional neural network - Monash... convolutional neural network classification patient ventilator asynchrony https://adass2023.lpl.arizona.edu/events/poster-p405 POSTER P405: Using a convolutional neural network with all sky infrared images to classify sky... https://researchconnect.buffalo.edu/en/publications/gla-gcn-global-local-adaptive-graph-convolutional-network-for-3d-/ GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from... https://research.monash.edu/en/publications/brain-tumor-segmentation-using-two-stage-convolutional-neural-net/ Brain tumor segmentation using two-stage convolutional neural network for federated evaluation -... convolutional neural network brain tumor https://research.rug.nl/en/publications/euclid-finding-strong-gravitational-lenses-in-the-early-release-o/ Euclid: Finding strong gravitational lenses in the Early Release Observations using convolutional... in the 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://isprs-annals.copernicus.org/articles/V-3-2022/139/2022/isprs-annals-V-3-2022-139-2022.html ISPRS-Annals - DEEP FEATURE EXTRACTION BASED ON DYNAMIC GRAPH CONVOLUTIONAL NETWORKS FOR... isprs annals feature extraction https://arxiv.org/abs/2112.04572v1 [2112.04572v1] Merging Subject Matter Expertise and Deep Convolutional Neural Network for... Abstract page for arXiv paper 2112.04572v1: Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part... subject matter expertise convolutional neural network https://ar5iv.labs.arxiv.org/html/2105.05838 [2105.05838] Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video... Previous cycle-consistency correspondence learning methods usually leverage image patches for training. In this paper, we present a fully convolutional method,... breaking shortcut exploring https://scholars.cityu.edu.hk/en/publications/multiscale-kernel-based-residual-convolutional-neural-network-for/fingerprints/ Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis under... convolutional neural network https://github.com/sandialabs/bcnn GitHub - sandialabs/bcnn: 3D Bayesian Convolutional Neural Network (BCNN) for Credible Geometric... 3D Bayesian Convolutional Neural Network (BCNN) for Credible Geometric Uncertainty. Code for the paper: https://arxiv.org/abs/1910.10793 - sandialabs/bcnn convolutional neural network github bayesian 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://in.mathworks.com/help/comm/ref/poly2trellis.html poly2trellis - Convert convolutional code polynomials to trellis description - MATLAB This MATLAB function returns the trellis structure description corresponding to the conversion for a rate K / N feedforward encoder. convert code polynomials trellis description 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://impact.ornl.gov/en/publications/impedance-aware-graph-convolutional-networks-for-voltage-estimati/ Impedance-Aware Graph Convolutional Networks for Voltage Estimation in Active Distribution Networks... impedance aware graph networks https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/5573/sparse-convolutional-beamforming-for-wireless-ultrasound Sparse Convolutional Beamforming For Wireless Ultrasound | IEEETV Wireless ultrasound systems can make the imaging process much more efficient, affordable and accessible for users. The standard technique to create B-mode... for wireless sparse beamforming ultrasound https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/5960 Learning Spatio-Temporal Convolutional Network For Real-Time Object Tracking | IEEETV Siamese series of tracking networks have shown great potentials in achieving balanced accuracy and beyond real-time speed. However, most of existing siamese... convolutional network for real object tracking learning spatio https://www.mdpi.com/1424-8220/21/11/3760 Estimation of Organizational Competitiveness by a Hybrid of One-Dimensional Convolutional Neural... The theory of modern organizations considers emotional intelligence to be the metric for tools that enable organizations to create a competitive vision. It... by a estimation organizational competitiveness https://se.mathworks.com/help/deeplearning/ref/squeezenet.html squeezenet - (Not recommended) SqueezeNet convolutional neural network - MATLAB SqueezeNet is a convolutional neural network that is 18 layers deep. convolutional neural network not recommended matlab https://spiral.imperial.ac.uk/entities/publication/68c4228a-2630-4848-a813-44d61cfdb29c DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks In this paper, we propose DeepCut , a method to obtain pixelwise object segmentations given an image dataset labelled weak annotations, in our case bounding... bounding box deepcut object segmentation https://research.nvidia.com/publication/2018-06_posecnn-convolutional-neural-network-6d-object-pose-estimation-cluttered-scenes PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes | Research Estimating the 6D pose of known objects is important for robots to interact with the real world. The problem is challenging due to the variety of objects as... https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2025.1531857/full Frontiers | Integrating multi-source monitoring data and deep convolutional autoencoder technology... IntroductionOver the past few decades, China has vigorously advanced its strategy to build a powerful transportation network, constructing and maintaining nu... monitoring data frontiers integrating multi source https://arxiv.org/abs/2001.07874 [2001.07874] Non-Negative Matrix Factorization-Convolutional Neural Network (NMF-CNN) For Sound... Abstract page for arXiv paper 2001.07874: Non-Negative Matrix Factorization-Convolutional Neural Network (NMF-CNN) For Sound Event Detection convolutional neural network 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://openportal.isti.cnr.it/doc?id=iris________::a6d1d668f1d2f2e8eefc7617e1fabe47 Document - Batch-CAM: introduction to better reasoning in convolutional deep learning models Batch-CAM: introduction to better reasoning in convolutional deep learning models introduction to 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://jp.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.convolution3dlayer.html Convolution3DLayer - 3-D convolutional layer - MATLAB A 3-D convolutional layer applies sliding cuboidal convolution filters to 3-D input. layer matlab https://jp.mathworks.com/help/deeplearning/ug/time-frequency-convolutional-network-for-eeg-data-classification.html Time-Frequency Convolutional Network for EEG Data Classification - MATLAB & Simulink Classify electroencephalographic (EEG) time series from persons with and without epilepsy. convolutional network data classification time frequency eeg https://pmc.ncbi.nlm.nih.gov/articles/PMC8232993/ Diagnosis of interproximal caries lesions with deep convolutional neural network in digital... This study aimed to investigate the effectiveness of deep convolutional neural network (CNN) in the diagnosis of interproximal caries lesions in digital... convolutional neural network 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://publikationen.uni-tuebingen.de/xmlui/handle/10900/127916 A parametric texture model based on deep convolutional features closely matches texture appearance... model based https://openresearch.surrey.ac.uk/esploro/outputs/journalArticle/Automatic-Modulation-Classification-Using-Contrastive-Fully/99778754402346 Automatic Modulation Classification Using Contrastive Fully Convolutional Network - University of... Aug 1, 2019 - Automatic modulation classification (AMC) aims at identifying the modulation format of the received signal. In this letter, we propose a novel grid... convolutional network automatic modulation classification using https://research.utwente.nl/en/publications/classification-of-moving-coronary-calcified-plaques-based-on-moti/ Classification of moving coronary calcified plaques based on motion artifacts using convolutional... https://kr.mathworks.com/help/predmaint/ug/remaining-useful-life-estimation-using-convolutional-neural-network.html Remaining Useful Life Estimation Using Convolutional Neural Network - MATLAB & Simulink This example shows how to predict the RUL of engines using deep convolutional neural networks (CNN). remaining useful life convolutional neural network estimation using matlab https://collaborate.princeton.edu/en/publications/convolutional-networks-with-oriented-1d-kernels/ Convolutional Networks with Oriented 1D Kernels - Princeton University networks oriented kernels princeton university https://kth.diva-portal.org/smash/record.jsf?pid=diva2:1624607 Identification of point sources in gamma rays using U-shaped convolutional neural networks and a... https://eprints.ncl.ac.uk/259596 FumeBot: A Deep Convolutional Neural Network Controlled Robot - ePrints - Newcastle University convolutional neural network deep https://open.library.emory.edu/concern/publications/52a53e79-3d1e-4fa1-b590-b11a60724644 Comparative analysis between convolutional neural network learned and engineered features: A case... Comparative analysis between convolutional neural network learned and engineered features: A case study on cardiac arrhythmia detection. convolutional neural network comparative analysis https://de.mathworks.com/matlabcentral/answers/1987403-how-do-i-debug-a-convolutional-neural-network-with-a-custom-training-loop-that-is-not-learning How do I debug a convolutional neural network with a custom training loop that is not learning? -... How do I debug a convolutional neural network... Learn more about neural network, machine learning, deep learning Deep Learning Toolbox https://pubmed.ncbi.nlm.nih.gov/31446517/ Accelerating cardiovascular model building with convolutional neural networks The objective of this work is to reduce the user effort required for 2D segmentation when building patient-specific cardiovascular models using the SimVascular... model building accelerating cardiovascular neural networks https://digital.library.adelaide.edu.au/items/0ec6bcc1-175b-4b4f-ab37-c23818a30ef9 Attention pooling-based convolutional neural network for sentence modelling Convolutional neural network has been proven to be a powerful semantic composition model for modelling sentences. A standard convolutional neural network... convolutional neural network attention pooling based sentence 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://abuhuzaifahbidin.substack.com/p/siri-belajar-ai-jaringan-neural-berlingkar Siri Belajar AI: Jaringan Neural Berlingkar (Convolutional Neural Network), Bahagian 1 Dalam siri yang lepas kita ada belajar membuat satu jaringan neural yang mampu untuk mengenal tulisan tangan. belajar ai convolutional network siri jaringan neural 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://www.frontiersin.org/journals/remote-sensing/articles/10.3389/frsen.2025.1538808/full Frontiers | Detection of degraded forests in Guinea, West Africa, using convolutional neural... Forest degradation is the alteration of forest biomass, structure or services without the conversion to another land cover. Unlike deforestation, forest degr... https://geometry.cs.ucl.ac.uk/group_website/projects/2016/semantic_learning/ Learning Semantic Deformation Flows with 3D Convolutional Networks Publication webpage of M. Ersin Yumer, Niloy J. Mitra semantic_learning paper at ECCV 2016 learning semantic deformation flows networks https://jp.mathworks.com/help/deeplearning/ref/efficientnetb0.html efficientnetb0 - (Not recommended) EfficientNet-b0 convolutional neural network - MATLAB EfficientNet-b0 is a convolutional neural network that is trained on more than a million images from the ImageNet database [1]. convolutional neural network not recommended efficientnet matlab https://fr.mathworks.com/matlabcentral/answers/1761940-how-to-improve-accuracy-of-squeezenet-convolutional-neural-network How to improve accuracy of SqueezeNet convolutional neural network? - MATLAB Answers - MATLAB... How to improve accuracy of SqueezeNet... Learn more about deep learning, machine learning Deep Learning Toolbox how to improve convolutional neural network accuracy https://tobias-lib.ub.uni-tuebingen.de/xmlui/handle/10900/157817 Deep Learning in the Detection of Rare Fractures - Development of a Deep Learning Convolutional... deep learning detection https://www.mdpi.com/2072-6694/13/6/1291 Convolutional Neural Network-Based Clinical Predictors of Oral Dysplasia: Class Activation Map... Oral cancer/oral squamous cell carcinoma is among the top ten most common cancers globally, with over 500,000 new cases and 350,000 associated deaths every... convolutional neural network https://www.mdpi.com/1424-8220/21/16/5309 Steady-State Visual Evoked Potential Classification Using Complex Valued Convolutional Neural... The steady-state visual evoked potential (SSVEP), which is a kind of event-related potential in electroencephalograms (EEGs), has been applied to... steady state visual evoked potential https://portal.fis.tum.de/en/publications/automatic-detection-of-lesion-load-change-in-multiple-sclerosis-u/ Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks... https://geometry.cs.ucl.ac.uk/projects/2016/semantic_learning/ Learning Semantic Deformation Flows with 3D Convolutional Networks Publication webpage of M. Ersin Yumer, Niloy J. Mitra semantic_learning paper at ECCV 2016 learning semantic deformation flows networks https://www.mdpi.com/2073-4441/15/4/647 Spatial Wave Measurement Based on U-net Convolutional Neural Network in Large Wave Flume This study proposed a spatial wave measurement method based on a U-net convolutional neural network. First, frame images are extracted from a video collected... convolutional neural network https://publications.rwth-aachen.de/record/1020313/comments State space representations of the Roesser type for convolutional layers - RWTH Publications state space of the https://www.mathworks.com/help/lte/ref/lteraterecoverconvolutional.html lteRateRecoverConvolutional - Convolutional rate matching recovery - MATLAB This MATLAB function performs rate recovery of the input data vector, in, to create an output vector, out, of length outlen. rate matching recovery matlab https://uwspace.uwaterloo.ca/items/830b4484-02fc-4515-a497-6b563da590de An Experimental Analysis of Multi-Perspective Convolutional Neural Networks Modelling the similarity of sentence pairs is an important problem in natural language processing and information retrieval, with applications in tasks such as... experimental analysis multi perspective neural https://pmc.ncbi.nlm.nih.gov/articles/PMC8782596/ Evaluation of motion artifacts in brain magnetic resonance images using convolutional neural... Motion artifacts in magnetic resonance (MR) images mostly undergo subjective evaluation, which is poorly reproducible, time consuming, and costly. Recently,... https://nl.mathworks.com/help/deeplearning/ug/train-a-convolutional-neural-network-for-regression.html Train Convolutional Neural Network for Regression - MATLAB & Simulink This example shows how to train a convolutional neural network to predict the angles of rotation of handwritten digits. convolutional neural network train regression matlab simulink https://educationweek.ieee.org/event/convolutional-neural-network-based-handwritten-character-recognition-an-approach-with-massive-multisource-data/ Convolutional-Neural-Network-Based Handwritten Character Recognition: An Approach with Massive... Convolutional-Neural-Network-Based Handwritten Character Recognition: An Approach with Massive Multisource Data convolutional neural network based handwritten https://impact.ornl.gov/en/publications/convolutional-neural-network-approach-for-mapping-arctic-vegetati/ Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote... convolutional neural network https://par.nsf.gov/biblio/10616042 Accurately Identifying Sound vs. Rotten Cranberries Using Convolutional Neural Network | NSF Public... This page contains metadata information for the record with PAR ID 10616042 convolutional neural network https://www.mdpi.com/2072-4292/17/9/1623 Triple Graph Convolutional Network for Hyperspectral Image Feature Fusion and Classification Most graph-based networks utilize superpixel generation methods as a preprocessing step, considering superpixels as graph nodes. In the case of hyperspectral... convolutional network image feature triple graph https://portal.fis.tum.de/en/publications/gaitgraph-graph-convolutional-network-for-skeleton-based-gait-rec/ GAITGRAPH: GRAPH CONVOLUTIONAL NETWORK FOR SKELETON-BASED GAIT RECOGNITION - Technical University... convolutional network graph https://www.ideals.illinois.edu/items/106080 Art painting author and style labeling using convolutional neural network | IDEALS convolutional neural network art painting author style https://arxiv.org/abs/2105.04762 [2105.04762] Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs... Abstract page for arXiv paper 2105.04762: Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features convolutional neural network https://isprs-archives.copernicus.org/articles/XLII-3/2017/2018/ ISPRS-Archives - EIGENENTROPY BASED CONVOLUTIONAL NEURAL NETWORK BASED ALS POINT CLOUDS... convolutional neural network isprs archives based als point https://arxiv.org/abs/2305.09924v1 [2305.09924v1] CageViT: Convolutional Activation Guided Efficient Vision Transformer Abstract page for arXiv paper 2305.09924v1: CageViT: Convolutional Activation Guided Efficient Vision Transformer activation guided efficient vision transformer 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://www.mdpi.com/1424-8220/21/16/5379 Enhanced Security Authentication Based on Convolutional-LSTM Networks The performance of classical security authentication models can be severely affected by imperfect channel estimation as well as time-varying communication... enhanced security based on authentication lstm networks https://people.engr.tamu.edu/nimak/Papers/CGF2023_MaterialPrior/index.html A Semi-Procedural Convolutional Material Prior semi procedural material prior https://www.mathworks.com/help/deeplearning/ref/darknet19.html darknet19 - (Not recommended) DarkNet-19 convolutional neural network - MATLAB DarkNet-19 is a convolutional neural network that is 19 layers deep. convolutional neural network not recommended darknet matlab https://fr.mathworks.com/help/deeplearning/ref/importcaffelayers.html importCaffeLayers - Import convolutional neural network layers from Caffe - MATLAB This MATLAB function imports the layers of a Caffe [1] network. convolutional neural network import layers caffe matlab 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.scirp.org/journal/paperinformation?paperid=130929 YOLOv8 for Fire and Smoke Recognition Algorithm Integrated with the Convolutional Block Attention... The complexity of fire and smoke in terms of shape, texture, and color presents significant challenges for accurate fire and smoke detection. To address this,... fire and smoke https://experts.illinois.edu/en/publications/deciphering-enhancer-sequence-using-thermodynamics-based-models-a/ Deciphering enhancer sequence using thermodynamics-based models and convolutional neural networks -... enhancer sequence using thermodynamics https://ipnpr.jpl.nasa.gov/progress_report/42-120/120F.html Seamless Data-Rate Change Using Punctured Convolutional Codes for Time-Varying Signal-to-Noise... In a time-varying signal-to-noise ratio (SNR) environment, symbol rate is often changed to maximize data return. However, the symbol-rate change has some... https://www.coursera.org/courses?query=convolutional+neural+network&page=6&authMode=login Top Convolutional Neural Network Courses - Learn Convolutional Neural Network Online Convolutional Neural Network courses from top universities and industry leaders. Learn Convolutional Neural Network online with courses like Classify Images... convolutional neural network top courses learn online https://www.coursera.org/courses?query=convolutional+neural+network&page=6&authMode=signup Top Convolutional Neural Network Courses - Learn Convolutional Neural Network Online Convolutional Neural Network courses from top universities and industry leaders. Learn Convolutional Neural Network online with courses like Probabilistic Deep... convolutional neural network top courses learn online https://www.mdpi.com/1424-8220/21/18/6006 A Cost-Efficient High-Speed VLSI Architecture for Spiking Convolutional Neural Network Inference... Neuromorphic hardware systems have been gaining ever-increasing focus in many embedded applications as they use a brain-inspired, energy-efficient spiking... https://arxiv.org/abs/1504.08289 [1504.08289] Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional... Abstract page for arXiv paper 1504.08289: Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks model discovery neural activation constellations 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://uwspace.uwaterloo.ca/items/a7750c9b-1bb5-45fe-99d1-e2274fe55084 Power Characterization of a Gbit/s FPGA Convolutional LDPC Decoder In this thesis, we present an FPGA implementation of parallel-node low-density-parity-check convolutional-code (PN-LDPC-CC) encoder and decoder. A 2.4 Gbit/s... of a power characterization gbit fpga https://campus-fryslan.studenttheses.ub.rug.nl/688/ Personalized Speech Enhancement Using Time-Domain Convolutional Networks - Studenttheses Campus... speech enhancement time domain personalized using networks https://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/ U-Net: Convolutional Networks for Biomedical Image Segmentation u networks biomedical image segmentation https://www.ideals.illinois.edu/items/120845 Nonalcoholic fatty liver disease diagnosis using convolutional and recurrent neural networks on... nonalcoholic fatty liver recurrent neural networks disease diagnosis 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://arxiv.org/abs/2308.10110 [2308.10110] Robust Mixture-of-Expert Training for Convolutional Neural Networks Abstract page for arXiv paper 2308.10110: Robust Mixture-of-Expert Training for Convolutional Neural Networks expert training robust mixture