https://mavmatrix.uta.edu/electricaleng_dissertations/317/
"ROBUST TRAINING METHODS FOR DEEP NEURAL NETWORKS WITH A VARIETY OF LAB" by Sree Ram Kamabattula
Requirement of significant amount of labeled training data is a major drawback in training deep neural networks (DNNs), due to the presence of mislabeled...
deep neural networkstraining methodsrobustvarietylab
https://repository.essex.ac.uk/29277/
Affection Driven Neural Networks for Sentiment Analysis - Research Repository
neural networkssentiment analysisresearch repositoryaffectiondriven
https://www.easychair.org/publications/preprint/KZW9
Genetic Algorithms and Neural Networks: a Fusion for Bioinformatics Advancements
genetic algorithmsneural networksfusionbioinformaticsadvancements
https://proceedings.neurips.cc/paper_files/paper/2021/hash/1b9f38268c50805669fd8caf8f3cc84a-Abstract.html
The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective
neural networkslimitationslargewidthdeep
https://research.ugent.be/web/result/project/4f3dfa91-0c9e-11eb-a40a-a5eabcacc3b5/details/en
Research Explorer - (01D21220) Advanced Reasoning with Memory-Augmented Neural Networks
Research Explorer - Basic information about research project Advanced Reasoning with Memory-Augmented Neural Networks (01D21220). - Deep neural networks lack...
research explorerneural networksadvancedreasoningmemory
https://zilliz.com/ai-faq/how-do-neural-networks-handle-multimodal-data
How do neural networks handle multimodal data? - Zilliz Vector Database
Neural networks handle multimodal data, which includes various types of information such as text, images, and audio, by
neural networksmultimodal datavector databasehandlezilliz
https://www.elektormagazine.com/tags/ai-edition-2024/neural-networks
Items tagged with AI Edition 2024 and Neural networks| Elektor | Elektor Magazine
ai editionneural networkselektor magazineitemstagged
https://researchers.westernsydney.edu.au/en/publications/a-new-stability-condition-of-neural-networks-with-time-varying-de/
A new stability condition of neural networks with time-varying delay - Western Sydney University
western sydney universityneural networksnewstabilitycondition
https://chatpaper.com/es/paper/243152?from=subpath-venues
Addressing divergent representations from causal interventions on neural networks
We show empirical representational divergence between native and causally intervened latent states, we show that this can be pernicious and propose a solution.
neural networksaddressingdivergentrepresentationscausal
https://arxiv.org/abs/2505.08610
[2505.08610] neuralGAM: An R Package for Fitting Generalized Additive Neural Networks
Abstract page for arXiv paper 2505.08610: neuralGAM: An R Package for Fitting Generalized Additive Neural Networks
r packageneural networksfittingadditive
https://merit.url.edu/ca/publications/cellular-neural-networks-for-high-energy-physics-4/
Cellular Neural Networks for high energy physics - Universitat Ramon Llull
cellular neural networkshigh energy physicsuniversitat ramon llull
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://research.knu.ac.kr/en/publications/analysis-on-delay-dependent-stability-for-neural-networks-with-ti/
Analysis on delay-dependent stability for neural networks with time-varying delays - Kyungpook...
for neural networksanalysisdelaydependentstability
https://jrnl.kai.edu.ua/index.php/visnik/article/view/15566?articlesBySameAuthorPage=7
FEATURES OF THE USE OF NEURAL NETWORKS IN THE DESIGN OF UAVS FOR FLIGHT IN THE STRATOSPHERE |...
neural networksin designfeaturesuseuavs
https://research.universityofgalway.ie/en/publications/an-application-of-neural-networks-to-adaptive-playout-delayin-voi/
An Application of Neural Networks to Adaptive Playout Delayin VoIP - University of Galway
neural networksapplicationadaptiveplayoutvoip
https://eonsr.com/en/using-neural-networks-to-predict-winning-board-states-in-tft-set-16/
Using neural networks to predict winning board states in TFT Set 16 - EONSR
Jan 2, 2026 - A comprehensive guide on how to use neural networks and AI to predict winning board states in Teamfight Tactics, covering data collection, feature engineering,...
neural networksusingpredictwinningboard
https://vallico.net/casino-forum/viewtopic.php?f=4&t=241&p=1158&sid=a2cd5887cff831ac9e22411eaf13c8af
I congratulate the Casino developers for neural networks implementing in the code. - The CASINO...
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https://air.iuav.it/handle/11578/325646
Artificial Neural Networks to Optimize Zero Energy Building (ZEB) Projects from the Early Design...
artificial neural networkszero energyfrom theoptimizebuilding
https://deepai.org/publication/predicting-research-trends-with-semantic-and-neural-networks-with-an-application-in-quantum-physics
Predicting Research Trends with Semantic and Neural Networks with an application in Quantum Physics...
Jun 17, 2019 - 06/17/19 - The vast and growing number of publications in all disciplines of science cannot be comprehended by a single human researcher. As ...
research trendsneural networksquantum physicssemanticapplication
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://pressmaverick.com/exploring-the-capabilities-of-neural-networks/
Exploring the Capabilities of Neural Networks
Jul 15, 2024 - Discover the capabilities of neural networks, from image recognition to natural language processing, and learn how they are transforming various industries.
neural networksexploringcapabilities
https://bepec.in/courses/agentic-ai-training/lesson/building-blocks-of-artificial-neural-networks-2-2-2/
Building Blocks of Artificial Neural Networks - bepec.in
artificial neural networksbuilding blocks
https://openreview.net/forum?id=T3_AJr9-R5g
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks | OpenReview
Neural network compression using alternating compressed/decompressed training periods provably yields highly accurate sparse-dense model pairs on a small...
deep neural networksacdcalternatingcompressed
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://publications.polymtl.ca/62712/
Attention-Based Dynamic Channel-Wise Pruning of Neural Networks with Knowledge Distillation...
neural networksknowledge distillationattentionbaseddynamic
https://iris.unical.it/handle/20.500.11770/187950
A Novel Passive Bandwidth Reservation Algorithm based on Neural Networks Path Prediction in...
a novelbased onneural networkspassivebandwidth
https://research.ajman.ac.ae/en/publications/advancing-optical-neural-networks-photonic-crystal-perceptrons-fo/
Advancing optical neural networks: photonic crystal perceptrons for ultra-fast AI computing - Ajman...
neural networksai computingadvancingopticalphotonic
https://projekter.aau.dk/parametric-tuning-of-extended-reverberation-algorithm-using-neural-networks-8115bb4b.html
Parametric Tuning of Extended Reverberation Algorithm Using Neural Networks - Aalborg University
This thesis develops an extended feedback delay network (FDN), a common structure for digital reverberation that mixes delayed versions of a signal, and equips
neural networksaalborg universityparametrictuningextended
https://iq.opengenus.org/neural-networks-with-deep-visualization/
Understanding Neural Networks Through Deep Visualization by Jason Yosinski
Apr 9, 2020 - This article explains the advanced techniques proposed by Jason Yosinski to understand the hidden working pattern of Neural Networks in the paper...
neural networksby jasonunderstandingdeepvisualization
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://os.copernicus.org/articles/19/973/2023/os-19-973-2023-metrics.html
OS - Metrics - Global variability of high-nutrient low-chlorophyll regions using neural networks...
Abstract. We examine 20 years of monthly global ocean color data and modeling outputs of nutrients using self-organizing map (SOM) analysis to identify...
neural networksosmetricsglobalvariability
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://www.atlantis-press.com/proceedings/icadme-16/25862742
One neural networks model for Lyapunov matrix inequalities | Atlantis Press
One kind of recurrent neural networks - Zhang neural networks (ZNN) is studied for solving a set of linear matrix inequalities - Lyapunov matrix inequalities.
neural networksatlantis pressonemodelmatrix
https://www.iris.sssup.it/handle/11382/569415
Activation Stretching for Tackling Noise in Photonic Aware Neural Networks
neural networksactivationstretchingtacklingnoise
https://research.utwente.nl/en/publications/bayesian-neural-networks-for-functional-anova-model/
Bayesian Neural Networks for Functional ANOVA model - University of Twente Research Information
university of twenteneural networksresearch informationbayesianfunctional
https://keras.io/examples/vision/involution/
Involutional neural networks
Keras documentation: Involutional neural networks
neural networks
https://dig.watch/event/global-summit-on-artificial-intelligence-and-neural-networks
Global Summit on Artificial Intelligence and Neural Networks | Digital Watch Observatory
The 10th Global Summit on Artificial Intelligence and Neural Networks will take place in Zurich, Switzerland from August 22-23, 2022. The summit will focus on...
on artificial intelligencedigital watch observatoryglobal summitneural networks
https://papers.nips.cc/paper/2017/hash/e6af401c28c1790eaef7d55c92ab6ab6-Abstract.html
Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks
in trainingneural networkstowardrobustnesslabel
https://www.techprofree.com/tag/neural-networks-and-deep-learning/
neural networks and deep learning Archives - Techprofree
neural networksdeep learningarchives
https://www.agupieware.com/2015/07/not-just-your-imagination-new-neural.html
aGupieWare: Not Just Your Imagination: New Neural Networks Accomplish Tasks Together
They say that if a hundred monkeys were put in the same room and forced to type, eventually they'd write the works of Shakespeare. But what...
not justneural networksimaginationnewaccomplish
https://www.ojp.gov/library/publications/classification-ground-truth-fire-debris-samples-using-artificial-neural
Classification of ground-truth fire debris samples using artificial neural networks | Office of...
The reported work assessed the classification performance of neural networks - a class of biologically inspired machine learning models that are used for...
artificial neural networksground truthclassificationfiredebris
https://www.sciweavers.org/publications/cash-forecasting-application-artificial-neural-networks-finance
Cash Forecasting: An Application of Artificial Neural Networks in Finance | Sciweavers
Cash Forecasting: An Application of Artificial Neural Networks in Finance - Artificial Neural Networks are universal and highly flexible function approximators...
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https://open.metu.edu.tr/handle/11511/66529
Comment on "Catchment flow estimation using Artifical Neural Networks in the mountainous Euphrates...
neural networkscommentflowestimationusing
https://www.techknowmad.com/tag/artificial-neural-networks/
Artificial Neural Networks - TechKnowmad
artificial neural networks
https://nr.no/publikasjon/2263659/
Sparse Bayesian Neural Networks: Bridging Model and Parameter Uncertainty through Scalable...
neural networkssparsebayesianbridgingmodel
https://www.datacamp.com/it/courses/recurrent-neural-networks-rnn-for-language-modeling-with-keras
Corso Recurrent Neural Networks (RNN) for Language Modeling in Python | DataCamp
Impara scienza dei dati e intelligenza artificiale comodamente dal tuo browser, al tuo ritmo, con i video tutorial di DataCamp e le sfide di codifica su R,...
recurrent neural networkslanguage modelingcorsornnpython
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.muni.cz/en/research/publications/913061
Polyphasic approach applying artificial neural networks, molecular analysis and postabdomen...
artificial neural networksapproachapplyingmolecularanalysis
https://www.techscience.com/cmc/v79n1/56282/html
An Adaptive Hate Speech Detection Approach Using Neutrosophic Neural Networks for Social Media...
Detecting hate speech automatically in social media forensics has emerged as a highly challenging task due to the complex nature of language used in such...
for social mediahate speechneural networksadaptivedetection
https://bioengineer.org/deep-neural-networks-enhance-network-security-vulnerability-repair-2/
Deep Neural Networks Enhance Network Security Vulnerability Repair - BIOENGINEER.ORG
deep neural networkssecurity vulnerabilityenhancerepairbioengineer
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://odr.chalmers.se/items/a47f41cb-05ca-4763-9dbf-9d8df2d3e347/full
Heavy vehicle path control with neural networks - Heavy vehicle path control with neural networks
This thesis explores the possibility of using neural networks for solving the path control problem, i.e. how to follow a predefined path as closely as...
heavy vehiclepath controlneural networks
https://publications.eai.eu/index.php/el/article/view/7064
RETRACTED: A Review of Hypergraph Neural Networks | EAI Endorsed Transactions on e-Learning
a reviewneural networksretractedeaiendorsed
https://researchwith.njit.edu/en/publications/artificial-neural-networks-for-water-quality-soft-sensing-in-wast/
Artificial neural networks for water quality soft-sensing in wastewater treatment: a review - New...
artificial neural networkswater qualitywastewater treatmentsoftsensing
https://pos.sissa.it/395/1074/
PoS - A novel trigger based on neural networks for radio neutrino detectors
pos abased onneural networksfor radioneutrino detectors
https://www.kaeeducation.com/courses/post-graduate-program-in-data-science-generative-ai-cloud-computing-live-online/lessons/artificial-neural-networks-ann-perceptron-models/
Artificial Neural Networks (ANN) & Perceptron Models - KAE Education
artificial neural networkskae educationannperceptronmodels
https://www.quipoin.com/tutorial/deep-learning/forward-propagation
Forward Propagation - How Neural Networks Compute Outputs - Quipoin
Learn forward propagation: how data flows through a neural network from input to output, layer by layer.
neural networksforwardpropagationcomputeoutputs
https://ricerca.sns.it/handle/11384/154325
Classifying spectra of emission-line regions with neural networks
neural networksclassifyingspectraemissionline
https://research.ucc.ie/en/publications/performance-of-artificial-neural-networks-in-nearshore-wave-power/
Performance of artificial neural networks in nearshore wave power prediction - Discover Research at...
artificial neural networkswave powerdiscover researchperformancenearshore
https://pmc.ncbi.nlm.nih.gov/articles/PMC7996054/
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help...
Supplemental Digital Content is available in the text. Keywords: atrial fibrillation, atrial flutter, deep learning, neural network, prediction, stroke
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https://researchr.org/publication/FrijiMSCO023/related
Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study -...
graph neural networksmulti stagefeasibility studyattackdetection
https://researchconnect.stonybrook.edu/en/publications/wasserstein-graph-neural-networks-for-graphs-with-missing-attribu/
Wasserstein Graph Neural Networks for Graphs With Missing Attributes - Stony Brook University
graph neural networksstony brook universitywassersteingraphsmissing
https://esc365.escardio.org/journal/71336
ESC 365 - Semi-supervised deep neural networks for left atrial segmentation from cardiac MRI
Access European Journal of Preventive Cardiology article on on ESC 365.
deep neural networkscardiac mriescsemisupervised
https://www.slideserve.com/eitan/introduction-powerpoint-ppt-presentation
PPT - Understanding Bayesian Neural Networks: an Introduction PowerPoint Presentation - ID:5664071
Explore the structure of the brain and artificial neural networks, including key components like neurons and synapses. Learn about multilayer perceptron...
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https://scholar.hit.edu.cn/en/publications/modeling-denitrifying-sulfide-removal-process-using-artificial-ne/
Modeling denitrifying sulfide removal process using artificial neural networks - Harbin Institute...
artificial neural networksremoval processmodelingsulfideusing
https://www.isca-archive.org/interspeech_2017/daniel17_interspeech.html
ISCA Archive - Evolving Recurrent Neural Networks That Process and Classify Raw Audio in a...
recurrent neural networksisca archiveevolvingprocessclassify
https://phd.uniroma1.it/web/complex-valued-and-quaternion-neural-networks-physics-incorporated-intelligence-frameworks---prof-akira-hirose-university-of-tokyo-ieee-fellow-and-lecturer-in-the-ieice-distinguished-lecturer-prog_nS11626EN_EN.aspx
Complex-valued and Quaternion Neural Networks: Physics-incorporated intelligence frameworks - Prof....
PhD in information and communication technology (ict) at Sapienza University of Rome. Curricula, scholarships and admission information.
neural networkscomplexvaluedquaternionphysics
https://scienceprog.com/deep-learning-vs-neural-networks/
Deep Learning vs Neural Networks - Do It Easy With ScienceProg
Dec 30, 2020 - Data science has become a part of our lives directly and indirectly. Its wide range of applications in our daily lives includes intelligent devices like...
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https://www.engadget.com/2016-09-12-neural-network-power-explained.html
Neural networks are powerful thanks to physics, not math
Sep 12, 2016 - When you think about how a neural network can beat a Go champion or otherwise accomplish tasks that would be impractical for most computers, it's tempting to...
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https://computerscienceassignmentshelp.com/can-i-pay-someone-to-solve-my-artificial-neural-networks-programming-problems
Can I pay someone to solve my artificial neural networks programming problems? | Hire Someone To Do...
Jan 20, 2024 - Can I pay someone to solve my artificial neural networks programming problems? There is an age old and old familiar phenomenon called artificial neural
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https://www.amazon.science/code-and-datasets/graph-coloring-with-physics-inspired-graph-neural-networks
Graph coloring with physics-inspired graph neural networks - Amazon Science
We show how graph neural networks can be used to solve the canonical graph coloring problem. We frame graph coloring as a multi-class node classification...
neural networksamazon sciencegraphcoloringphysics
https://scienmag.com/tag/convolutional-neural-networks-in-pathology/
convolutional neural networks in pathology | Science
convolutional neural networkspathologyscience
https://ijisrt.com/crop-yield-prediction-using-multilayer-perceptron-neural-networks-a-comparative-analysis-with-traditional-machine-learning-approaches
Crop yield prediction using multilayer perceptron neural networks a comparative analysis with...
crop yieldmultilayer perceptronneural networkscomparative analysisprediction
https://intra.kth.se/eecs/kalender/physics-informed-neural-networks-and-machine-learning-algorithms-for-sustainability-advancements-in-power-systems-components-1.1285629?date=2023-11-03&orgdate=2023-03-24&length=1&orglength=283
Physics-Informed Neural Networks and Machine Learning Algorithms for Sustainability Advancements in...
machine learning algorithmsneural networksfor sustainabilityphysicsinformed
https://uwspace.uwaterloo.ca/items/26ba9162-2e5c-4581-a20b-eaa3c1992ce6
Synchronization of coupled reaction-diffusion neural networks: Delay-dependent pinning impulsive...
This paper studies the synchronization problem of coupled reaction-diffusion neural networks with time-varying delays. A novel pinning impulsive controller is...
neural networkssynchronizationcoupledreactiondiffusion
https://ortus.rtu.lv/science/en/publications/25650
Publication: Land Cover Classification Based On MODIS Imagery Data Using Artificial Neural Networks
artificial neural networksland coverbased onpublicationclassification