https://curin.chitkara.edu.in/conferences/enhanced-detection-of-down-syndrome-through-convolutional-neural-networks-a-deep-learning-approach/
Enhanced Detection of Down Syndrome through Convolutional Neural Networks: A Deep Learning Approach...
convolutional neural networksdown syndromedeep learningenhanceddetection
https://openrepository.aut.ac.nz/items/dca7915b-6651-4d0d-895e-0f79b4b6b6ee/full
Automated Biometric Recognition Using Dorsal Hand Images and Convolutional Neural Networks
The identification of perpetrators, present in Child Sexual Abuse Imagery (CSAI), is a significant challenge due to the use of anonymisation techniques that...
convolutional neural networksautomatedbiometricrecognitionusing
https://aclanthology.org/N16-1062/
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks - ACL...
Ji Young Lee, Franck Dernoncourt. Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human...
convolutional neural networksshort textsequentialclassificationrecurrent
https://bytez.com/docs/arxiv/1809.03851/paper
Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion...
Sep 11, 2018 - Because of their state-of-the-art performance in computer vision, CNNs are becoming increasingly popular in a variety of fields, including medicine. However,...
convolutional neural networksto improvedecision supportfor skinvisualizing
https://etasr.com/index.php/ETASR/article/view/3734/2331
Logo Recognition with the Use of Deep Convolutional Neural Networks | Engineering, Technology &...
convolutional neural networksengineering technologylogorecognitionuse
https://research.monash.edu/en/publications/motion-correction-in-mri-using-deep-convolutional-neural-networks/
Motion Correction in MRI using Deep Convolutional Neural Networks - Monash University
convolutional neural networksmonash universitymotioncorrectionmri
https://ijai.iaescore.com/index.php/IJAI/article/view/25326/14224
Seeding precision: a mask region based convolutional neural networks classification approach for...
Seeding precision: a mask region based convolutional neural networks classification approach for the classification of paddy seeds
convolutional neural networksseedingprecisionmaskregion
https://www.iieta.org/journals/jesa/paper/10.18280/jesa.580119
Complex Face Emotion Recognition Using Convolutional Neural Networks | IIETA
convolutional neural networksemotion recognitioncomplexfaceusing
https://scienmag.com/tag/convolutional-neural-networks-in-pathology/
convolutional neural networks in pathology | Science
convolutional neural networkspathologyscience
https://ricerca.unich.it/handle/11564/828877
Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in...
convolutional neural networksusingspatialtemporalensembles
https://uhra.herts.ac.uk/id/eprint/15538/
Event reconstruction using pattern spectra and convolutional neural networks for the Cherenkov...
convolutional neural networksfor theeventreconstructionusing
https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/6289/person-identification-using-deep-convolutional-neural-networks-on-shortterm-signals-from-wearable-sensors
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 networksshort termpersonidentificationusing
https://www.fit.vut.cz/research/result/c155111/.en
Convolutional Neural Networks and X-Vector Embedding for DCASE2018 Acoustic Scene Classification...
convolutional neural networksxvectorembeddingacoustic
https://arxiv.org/abs/1904.08755
[1904.08755] 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
Abstract page for arXiv paper 1904.08755: 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
convolutional neural networkstemporal
https://scholarshare.temple.edu/entities/publication/b8d999f5-4abd-4f14-97e7-df03e66d900e
COMBINING CONVOLUTIONAL NEURAL NETWORKS AND GRAPH NEURAL NETWORKS FOR IMAGE CLASSIFICATION
Convolutional Neural Networks (CNNs) have dominated the task of imageclassification since 2012. Some key components of their success are that the underlying...
convolutional neural networksfor imagecombininggraphclassification
https://scholars.duke.edu/publication/1530657
Scholars@Duke publication: Conditional random field enhanced graph convolutional neural networks
convolutional neural networksscholarsdukepublicationconditional
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 controlconvolutional neural networkstu delftautomationusing
https://www.datacamp.com/tr/tutorial/cnn-tensorflow-python
Python Convolutional Neural Networks (CNN) with TensorFlow Tutorial | DataCamp
Learn how to construct and implement Convolutional Neural Networks (CNNs) in Python with the TensorFlow framework. Follow our step-by-step tutorial with code...
convolutional neural networkstensorflow tutorialpythoncnndatacamp
https://www.amrita.edu/publication/relation-extraction-using-convolutional-neural-networks/
Relation extraction using convolutional neural networks - Amrita Vishwa Vidyapeetham
convolutional neural networksamrita vishwa vidyapeethamrelation extractionusing
https://deepai.org/publication/efficient-convolutional-neural-networks-for-depth-based-multi-person-pose-estimation
Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation | DeepAI
Dec 2, 2019 - 12/02/19 - Achieving robust multi-person 2D body landmark localization and pose estimation is essential for human behavior and interaction un...
convolutional neural networkspose estimationefficientdepthbased
https://odr.chalmers.se/items/aaf4e8e9-ff90-472c-99e2-f8820c1bf056
Image segmentation and convolutional neural networks as tools for indoor scene understanding
convolutional neural networksimage segmentationtoolsindoorscene
https://lutpub.lut.fi/handle/10024/159517
Plankton recognition from imaging flow cytometer data using convolutional neural networks - LUTPub
convolutional neural networksplanktonrecognitionimagingflow
https://research.buaa.edu.cn/en/publications/3d-mesh-labeling-via-deep-convolutional-neural-networks/
3D mesh labeling via deep convolutional neural networks - Beihang University
convolutional neural networksbeihang universitymeshlabelingvia
https://researcher.manipal.edu/en/publications/a-hybrid-model-for-soybean-yield-prediction-integrating-convoluti/
A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent...
convolutional neural networkshybridmodelsoybeanyield
https://indico.cern.ch/event/1291157/contributions/5900325/
ICHEP 2024 (17-July 24, 2024): Training Deep 3D Convolutional Neural Networks to Extract BSM...
42nd International Conference on High Energy Physics ICHEP is a series of international conferences organized by the C11 commission of the International Union...
convolutional neural networksichepjulytrainingdeep
https://www.analyticsvidhya.com/blog/2021/06/all-you-need-to-know-about-convolutional-neural-networks/
All you need to know about Convolutional Neural Networks! - Analytics Vidhya
Jul 21, 2021 - The article shares all you need to know about convolutional neural networks i.e the logic behind it, strides, padding and more.
all you needconvolutional neural networksknow aboutanalytics vidhya
https://repository.effatuniversity.edu.sa/entities/publication/f6bc57e9-0d93-4da3-85de-c3da3a67c685
Feature extraction and fusion using deep convolutional neural networks for Covid-19 detection using...
COVID-19 represents a novel variant of the coronavirus disease, having rapidly disseminated across the globe. In recent studies pertaining to computer vision,...
convolutional neural networksfeature extractionfusionusingdeep
https://researchinformation.umcutrecht.nl/en/publications/convolutional-neural-networks-for-segmentation-of-the-left-atrium/
Convolutional Neural Networks for Segmentation of the Left Atrium from Gadolinium-Enhancement MRI...
convolutional neural networksthe leftsegmentationatriumgadolinium
https://www.alliedacademies.org/articles/detection-and-classification-of-kidney-disease-using-convolutional-neural-networks-24308.html
Detection and Classification of Kidney Disease Using Convolutional Neural Networks
Chronic kidney disease is a serious, long lasting condition that can be welcomed on by kidney harm or renal disease. In the present status of study, the...
convolutional neural networkskidney diseasedetectionclassificationusing
https://aisecurity-portal.org/literature-database/patchup-a-feature-space-block-level-regularization-technique-for-convolutional-neural-networks/
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks |...
convolutional neural networksfeaturespaceblocklevel
https://data.mendeley.com/datasets/tty8xzd2ks/1
Identifying the Origin of Turbulence using Convolutional Neural Networks - Mendeley Data
The numerical work presented here contains the results from a number of simulations pertinent to the generation of different forms of turbulence. This...
convolutional neural networksthe originidentifyingturbulenceusing
https://researchportal.murdoch.edu.au/esploro/outputs/book/A-Guide-to-Convolutional-Neural-Networks/991005543509507891
A Guide to Convolutional Neural Networks for Computer Vision - Murdoch University
Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surveillance...
a guide toconvolutional neural networksfor computermurdoch universityvision
https://eudoxuspress.com/index.php/pub/article/view/419
A Novel Approach for Human Activity Recognition Utilizing Modified Convolutional Neural Networks...
convolutional neural networksnovel approachhuman activityrecognitionutilizing
https://experts.umn.edu/en/publications/normalization-and-dropout-for-stochastic-computing-based-deep-con/fingerprints/
Normalization and dropout for stochastic computing-based deep convolutional neural networks -...
convolutional neural networksnormalizationdropoutstochasticcomputing
https://pubmed.ncbi.nlm.nih.gov/31078331/
Uncovering Ecological Patterns with Convolutional Neural Networks
Using remotely sensed imagery to identify biophysical components across landscapes is an important avenue of investigation for ecologists studying ecosystem...
convolutional neural networksuncoveringecologicalpatterns
https://de.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 networkslearn aboutmatlabsimulink
https://bookauthority.org/books/beginner-convolutional-neural-networks-books?t=3ibmxv&s=award&book=1974435563
WINNER: 7 Beginner-Friendly Convolutional Neural Networks Books Worth Reading - BookAuthority
Explore 7 beginner-friendly Convolutional Neural Networks books authored by recognized experts like Ragav Venkatesan and Baoxin Li, perfect for newcomers eager...
convolutional neural networksbeginner friendlyworth readingwinnerbooks
https://par.nsf.gov/biblio/10638745
ZeoNet: 3D convolutional neural networks for predicting adsorption in nanoporous zeolites | NSF...
This page contains metadata information for the record with PAR ID 10638745
convolutional neural networksadsorptionnsf
https://khazna.ku.ac.ae/en/publications/intelligent-monitoring-of-transformer-insulation-using-convolutio/
Intelligent monitoring of transformer insulation using convolutional neural networks - Khalifa...
convolutional neural networksintelligentmonitoringtransformerinsulation
https://openreview.net/forum?id=jgpWXnXdME&referrer=%5Bthe%20profile%20of%20Eldad%20Haber%5D(%2Fprofile%3Fid%3D~Eldad_Haber3)
Advection Augmented Convolutional Neural Networks | OpenReview
Many problems in physical sciences are characterized by the prediction of space-time sequences. Such problems range from weather prediction to the analysis of...
convolutional neural networksadvectionaugmentedopenreview
https://researchportal.ip-paris.fr/fr/publications/low-complexity-convolutional-neural-networks-for-equalization-in-/
Low Complexity Convolutional neural networks for equalization in optical fiber transmission -...
convolutional neural networksoptical fiberlowcomplexityequalization
https://www.synapse.org/Synapse:syn6131484/discussion/threadId=836
Pulling/parsing training examples efficiently. Anyone using Convolutional neural networks?
I've gotten a convolutional neural network running in Tensorflow that tries to build a filter for positive-binding regions off of DNA sequence, shape, and...
convolutional neural networkstraining examplespullingparsinganyone
https://www.mdpi.com/2072-4292/11/1/74
Detection of Glacier Calving Margins with Convolutional Neural Networks: A Case Study
The continuous and precise mapping of glacier calving fronts is essential for monitoring and understanding rapid glacier changes in Antarctica and Greenland,...
convolutional neural networkscase studydetectionglaciercalving
https://cris.maastrichtuniversity.nl/en/publications/convolutional-neural-networks-develop-major-organizational-princi/
Convolutional neural networks develop major organizational principles of early visual cortex when...
convolutional neural networksorganizational principlesvisual cortexdevelopmajor
https://liner.com/review/tablesense-spreadsheet-table-detection-with-convolutional-neural-networks
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks [Quick Review]
Regarding this AAAI 2019 paper, this review summarizes TableSense, a CNN framework for precise spreadsheet table detection using cell featurization.
convolutional neural networksquick reviewspreadsheettabledetection
https://www.orevateai.com/convolutional-neural-networks-guide/
Convolutional Neural Networks Explained
Apr 26, 2026 - What exactly are convolutional neural networks? These powerful deep learning models are the backbone of modern computer vision, enabling machines to 'see' and...
convolutional neural networksexplained
https://aiwiki.ai/categories/Convolutional%20neural%20networks
Convolutional neural networks | AI Wiki
Browse AI Wiki articles in the Convolutional neural networks category.
convolutional neural networksai wiki
https://ouci.dntb.gov.ua/en/works/7XrK22Ml/
CONVOLUTIONAL NEURAL NETWORKS FOR EARLY COMPUTER DIAGNOSIS OF CHILD DYSPLASIA
The problem in ultrasound diagnostics hip dysplasiais the lack of experience of the doctor in case of incorrect orientation of the hip joint andultrasound...
convolutional neural networksearlycomputerdiagnosischild
https://tesi.luiss.it/43852/
Convolutional neural networks and tree search algorithms for mastering the 2048 game - LuissThesis
convolutional neural networkssearch algorithmstreemasteringgame
https://www.diagnijmegen.nl/publications/bejn17b/
Context-aware stacked convolutional neural networks for classification of breast carcinomas in...
convolutional neural networkscontextawarestackedclassification
https://groovesquid.com/paper/summary-of-using-deep-convolutional-neural-networks-to-detect-rendered-glitches-in-video-games-by-carlos-garcia-ling-et-al/
Summary of Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games, by...
Jul 13, 2025 - Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games by Carlos Garcia Ling, Konrad Tollmar, Linus Gisslen First submitted to arxi
convolutional neural networksin videosummaryusingdeep
https://cris.continental.edu.pe/en/publications/impact-of-convolutional-neural-networks-to-detect-visual-trends-a/
Impact of Convolutional Neural Networks to Detect Visual Trends and Generate Real Price Swings -...
convolutional neural networksvisual trendsimpactdetectgenerate
https://theses.ubn.ru.nl/items/1338bb41-2740-4c48-aa79-ebfa3569725a
Routing Mechanisms in Convolutional Neural Networks for EEG Decoding
Convolutional neural networks (CNNs) are becoming increasingly popular tools for decoding electroencephalographic (EEG) data. They alleviate the need for...
convolutional neural networksroutingmechanismseegdecoding
https://avesis.gazi.edu.tr/yayin/ba85bab4-902e-4a99-9edb-97c3e7b9eb1d/wecnn-pdp-weighted-ensemble-convolutional-neural-networks-models-to-improve-the-plant-disease-prediction
WECNN-PDP: Weighted ensemble convolutional neural networks models to improve the plant disease...
convolutional neural networksto improvethe plantpdpweighted
https://papers.neurips.cc/paper_files/paper/2020/hash/0a656cc19f3f5b41530182a9e03982a4-Abstract.html
Primal-Dual Mesh Convolutional Neural Networks
convolutional neural networksprimaldualmesh
https://cris.biu.ac.il/en/publications/cognitive-state-classification-using-convolutional-neural-network/
Cognitive State Classification Using Convolutional Neural Networks on Gamma-Band EEG Signals -...
convolutional neural networkscognitivestateclassificationusing
https://repository.eduhk.hk/en/publications/emotion-recognition-based-on-convolutional-neural-networks-and-he/
Emotion recognition based on convolutional neural networks and heterogeneous bio-signal data...
convolutional neural networksemotion recognitionbasedbiosignal
https://vitela.javerianacali.edu.co/browse/subject?value=Convolutional%20Neural%20Networks
Vitela :: Browsing by Subject "Convolutional Neural Networks"
convolutional neural networksby subjectvitelabrowsing
https://repositori.upf.edu/items/a618a775-ce35-422c-bed9-1bb0c703cb34
e-Repositori UPF :: Timbre analysis of music audio signals with convolutional neural networks
The focus of this work is to study how to efficiently tailor Convolutional Neural Networks (CNNs) towards learning timbre representations from log-mel...
convolutional neural networksmusic audiorepositoriupftimbre
https://ricerca.uniparthenope.it/handle/11367/114841
TanDEM-X forest mapping using convolutional neural networks
convolutional neural networkstandemxforestmapping
https://wwwww.easychair.org/publications/preprint/mt56
Bayesian Optimization of Convolutional Neural Networks for Categorizing the Height and...
convolutional neural networksthe heightbayesianoptimizationcategorizing
https://www.matec-conferences.org/articles/matecconf/abs/2020/23/matecconf_icmie2020_02004/matecconf_icmie2020_02004.html
A new learning algorithm based on strengthening boundary samples for convolutional neural networks...
MATEC Web of Conferences, open access proceedings in Materials science, Engineering and Chemistry
convolutional neural networksnew learningalgorithmbasedstrengthening
https://pure.jbnu.ac.kr/en/publications/human-airway-surface-mesh-smoothing-based-on-graph-convolutional--2/
Human-airway surface mesh smoothing based on graph convolutional neural networks - JBNU Researchers...
convolutional neural networkshumanairwaysurfacemesh
https://jmlr.org/papers/v22/20-213.html
Transferability of Spectral Graph Convolutional Neural Networks
convolutional neural networkstransferabilityspectralgraph
https://researchr.org/publication/BiscioneB21
Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be -...
convolutional neural networksinvarianttranslationlearn
https://iris.sissa.it/handle/20.500.11767/138871
Euclid preparation: XXXIII. Characterization of convolutional neural networks for the...
convolutional neural networksfor theeuclidpreparationcharacterization
https://www.nitrc.org/project/list_screenshots.php?group_id=1214&screenshot_id=1138
NITRC: Fast Lesion Extraction using Convolutional Neural Networks:
convolutional neural networksfastlesionextractionusing
https://hgpu.org/?p=19029
A Survey of Convolutional Neural Networks on Edge with Reconfigurable Computing | hgpu.org
Aug 4, 2019 - A Survey of Convolutional Neural Networks on Edge with Reconfigurable Computing | Mario P. Vestias | CNN, Computer science, Deep learning, FPGA, Neural networks
convolutional neural networkssurveyedgecomputing
https://rock-the-prototype.com/en/tag/convolutional-neural-networks-en/
Convolutional Neural Networks Archive - Rock the Prototype - Softwareentwicklung & Prototyping
convolutional neural networksarchiverockprototypesoftwareentwicklung
https://www.astrj.com/Analysis-of-Wire-Rolling-Processes-Using-Convolutional-Neural-Networks,183699,0,2.html
Analysis of Wire Rolling Processes Using Convolutional Neural Networks
This study leverages machine learning to analyze the cross-sectional profiles of materials subjected to wire-rolling processes, focusing on the specific stages...
convolutional neural networksanalysiswirerollingprocesses
https://lrec.elra.info/lrec2018-main-101
Multilingual Multi-class Sentiment Classification Using Convolutional Neural Networks - LREC 2018 |...
May 1, 2018 - This paper describes a language-independent model for multi-class sentiment analysis using a simple neural network architecture of five layers (Embedding, Conv1
convolutional neural networkssentiment classificationmultilingualusinglrec
https://research.ibm.com/publications/monitoring-of-iot-systems-at-the-edge-with-transformer-based-graph-convolutional-neural-networks
Monitoring of IoT Systems at the Edge with Transformer-based Graph Convolutional Neural Networks...
Monitoring of IoT Systems at the Edge with Transformer-based Graph Convolutional Neural Networks for EDGE 2022 by Amadou Ba et al.
convolutional neural networksiot systemsthe edgemonitoringtransformer
https://arunangshudas.com/blog/tag/stride-in-convolutional-neural-networks/
Stride In Convolutional Neural Networks Archives - Arunangshu Das Blog
convolutional neural networksdas blogstridearchives
https://yamz.net/term/alternates/Convolutional%20neural%20networks?include=archived
Alternates for Convolutional neural networks
convolutional neural networksalternates
https://merit.url.edu/es/publications/colombian-fruit-and-vegetables-recognition-using-convolutional-ne/
Colombian fruit and vegetables recognition using convolutional neural networks and transfer...
fruit and vegetablesconvolutional neural networkscolombianrecognitionusing
https://repositorio.inesctec.pt/items/65dc3f6f-72a9-4c61-98bf-9e3cd4f76546/request-a-copy?bitstream=1bc855d8-df6e-41e6-8e72-b47539c4f9e5
Deep convolutional neural networks for automatic identification of epileptic seizures in infrared...
convolutional neural networksepileptic seizuresdeepautomaticidentification
https://cabbi.bio/publications/deep-convolutional-neural-networks-exploit-high-spatial-and-temporal-resolution-aerial-imagery-to-phenotype-key-traits-in-miscanthus/
Deep Convolutional Neural Networks Exploit High-Spatial- and -Temporal-Resolution Aerial Imagery to...
Apr 8, 2024 - [...]Read More... from Deep Convolutional Neural Networks Exploit High-Spatial- and -Temporal-Resolution Aerial Imagery to Phenotype Key Traits in Miscanthus
convolutional neural networksaerial imagerydeepexploithigh