https://hpc-qarnot.webflow.io/en/blog/kth-deep-learning
KTH trains Deep Learning models | Cloud HPC Qarnot
Few months ago we were contacted by students from KTH Royal Institute of Technology to support them in their autonomous car project.
deep learning modelscloud hpckthtrains
https://www.imm.cnr.it/node/48100
Comparison Between Deep Learning Models and Traditional Machine Learning Approaches for Facial...
deep learning modelscomparison
https://www.umass.edu/news/article/umass-amherst-researchers-create-universal-deep-learning-models-early-prediction
UMass Amherst Researchers to Create Universal Deep Learning Models for Early Prediction of...
A computer science and biomedical engineering team has received an NIH grant to create predictive models for Alzheimer's disease using brain MRIs, among other...
deep learning models
https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2025.1615276/full
Frontiers | Editorial: Advances in computer vision: from deep learning models to practical...
Computer vision has emerged as one of the most transformative fields in artificial intelligence, with deep learning models driving unprecedented advancements...
deep learning modelscomputer vision
https://al-murphy.github.io/talks/2026-05-07-improving-genomic-deep-learning-perturbation
Improving genomic deep learning models with perturbation data - Alan Murphy
May 7, 2026 - Work conducted with Masayuki (Moon) Nagai (co-first), and Peter Koo.
deep learning modelsimprovinggenomicperturbationdata
https://pmc.ncbi.nlm.nih.gov/articles/PMC8373813/
Applications of interpretability in deep learning models for ophthalmology - PMC
In this article, we introduce the concept of model interpretability, review its applications in deep learning models for clinical ophthalmology, and discuss...
deep learning modelsfor ophthalmologyapplicationsinterpretabilitypmc
https://www.techtarget.com/healthtechanalytics/news/366591533/Deep-Learning-Models-Can-Detect-COVID-19-in-Chest-CT-Scans
Deep Learning Models Can Detect COVID-19 in Chest CT Scans | TechTarget
Deep learning tools could distinguish between COVID-19 and other pneumonias in chest CT scans, leading to better coronavirus diagnosis.
deep learning models
https://tobias-lib.ub.uni-tuebingen.de/xmlui/handle/10900/144080
Inductive biases in deep learning models for weather prediction
deep learning modelsinductivebiasesweatherprediction
https://grobid.readthedocs.io/en/latest/Deep-Learning-models/
Deep Learning models - GROBID Documentation
Documentation for GROBID
deep learning modelsgrobiddocumentation
https://par.nsf.gov/biblio/10336061-deep-learning-models-echocardiographic-assessment-diastolic-dysfunction
Deep-Learning Models for the Echocardiographic Assessment of Diastolic Dysfunction | NSF Public...
This page contains metadata information for the record with PAR ID 10336061
deep learning modelsfor the
https://handbook.unsw.edu.au/undergraduate/courses/2024/actl3143
Handbook - Artificial Intelligence and Deep Learning Models for Actuarial Applications
The UNSW Handbook is your comprehensive guide to degree programs, specialisations, and courses offered at UNSW.
deep learning modelsartificial intelligencehandbookactuarialapplications
https://tobias-lib.ub.uni-tuebingen.de/xmlui/handle/10900/145072
Implementing deep learning models for the classification of Echinococcus multilocularis infection...
deep learning modelsfor theimplementing
https://www.mdpi.com/2073-4441/17/13/1913
Utilizing Hybrid Deep Learning Models for Streamflow Prediction
Accurately predicting streamflow using process-based models remains challenging due to uncertainties in model parameters and the complex nature of streamflow...
deep learning modelsutilizinghybridstreamflowprediction
https://www.nvidia.com/en-gb/deep-learning-ai/developing-deep-learning-models-in-the-hospital/
Developing Deep Learning Models in the Hospital | NVIDIA
As the field of deep learning in medicine progresses from research to clinical deployment, practical considerations quickly become a primary concern for...
deep learning modelsthe hospitaldevelopingnvidia
https://www.coursera.org/learn/optimize-deep-learning-models-for-peak-ai?specialization=train-tune-ship-end-to-end-machine-learning-engineering
Optimize Deep Learning Models for Peak AI | Coursera
Offered by Coursera. This short, hands-on course helps learners adapt and optimize deep learning models for real-world use. Learners begin ... Enroll for free.
deep learning modelsoptimizepeakaicoursera
https://ec2-35-174-225-172.compute-1.amazonaws.com/machine-learning-and-deep-learning-models/
Machine & Deep Learning Models for Smart Solutions
Apr 16, 2026 - Drive innovation with machine learning and deep learning models. Enable predictive analytics, automation, and intelligent decision-making at scale.
deep learning modelsmachinesmartsolutions
https://nrc-publications.canada.ca/eng/view/object/?id=d66d0391-8604-4e14-a4ab-5dad5d778d03
Perithecia detection from images of stubble using deep learning models - NRC Publications Archive -...
Perithecia detection from images of stubble using deep learning models
deep learning models
https://pmc.ncbi.nlm.nih.gov/articles/PMC12562713/
Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants - PMC
Background/Objective: Genome-wide association studies (GWAS) have linked many noncoding variants to complex traits and diseases, but distinguishing...
deep learning modelscomparative analysis
https://www.esri.com/en-us/arcgis/deep-learning-models?ref=christophermoravec.com
Pretrained Deep Learning Models | Image Feature Extraction & More
Pretrained deep learning models automate tasks, such as image feature extraction, land-cover classification, and object detection, in imagery, point clouds or...
deep learning modelsimage featurepretrainedextraction
https://isprs-annals.copernicus.org/articles/X-M-1-2023/207/2023/isprs-annals-X-M-1-2023-207-2023.html
ISPRS-Annals - EXPLAINING AI: UNDERSTANDING DEEP LEARNING MODELS FOR HERITAGE POINT CLOUDS
deep learning modelsisprs annals
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0273262
Deploying deep learning models on unseen medical imaging using adversarial domain adaptation | PLOS...
The fundamental challenge in machine learning is ensuring that trained models generalize well to unseen data. We developed a general technique for ameliorating...
deep learning models
https://research.tue.nl/en/studentTheses/hybrid-deep-learning-models-for-cuff-less-blood-pressure-estimati/
Hybrid Deep Learning Models for Cuff-less Blood Pressure Estimation from photoplethysmography -...
deep learning models
https://collectionsblog.plos.org/iwann-2019/
IWANN Special Collection 2019: Deep Learning Models in Healthcare and Biomedicine - PLOS Collections
Nov 25, 2024 - By Ruxandra Stoean, Associate Professor of Computer Science, University of Craiova, Leonardo Franco, Associate Professor of Computer Science, University of...
deep learning models
https://consultqd.clevelandclinic.org/deep-learning-models-for-automatic-seizure-detection-in-epilepsy
Deep Learning Models for Automatic Seizure Detection in Epilepsy
Cleveland Clinic has developed an artificial intelligence system to automatically detect seizures from long-term EEG recordings in an epilepsy monitoring unit....
deep learning modelsautomaticseizuredetectionepilepsy
https://cardiovascularcmemayoclinic.podbean.com/e/deep-learning-models-for-the-prognostication-and-localization-of-premature-ventricular-contractions-using-a-12-lead-electrocardiogram/
Deep-Learning Models for the Prognostication and Localization of Premature Ventricular Contractions...
Deep-Learning Models for the Prognostication and Localization of Premature Ventricular Contractions Using a 12-Lead Electrocardiogram Guest: Guru G. Kowlgi,...
deep learning modelsfor the
https://pubmed.ncbi.nlm.nih.gov/32884053/
Effect of sequence padding on the performance of deep learning models in archaeal protein...
The use of raw amino acid sequences as input for deep learning models for protein functional prediction has gained popularity in recent years. This scheme...
deep learning models
https://www.codecademy.com/learn/paths/build-deep-learning-models-pytorch
Build Deep Learning Models with PyTorch | Codecademy
Learn to build neural networks and deep neural networks for tabular data, text, and images with PyTorch.
deep learning modelsbuildpytorchcodecademy
https://yorkspace.library.yorku.ca/items/69a78a14-7309-4593-acc7-36315fb2dfce
Context-FOFE Based Deep Learning Models for Text Classification and Modeling
Text classification is a fundamental task in natural language processing. Many recently proposed deep learning models have leveraged context information in...
deep learning modelstext classificationcontextbased
https://pmc.ncbi.nlm.nih.gov/articles/PMC8486521/
Medical Text Classification Using Hybrid Deep Learning Models with Multihead Attention - PMC
To unlock information present in clinical description, automatic medical text classification is highly useful in the arena of natural language processing...
deep learning modelstext classification
https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/47/2023/
ISPRS-Archives - A COMPARISON STUDY ON DEEP LEARNING MODELS FOR BUILDING ROOFTOP CLASSIFICATION
deep learning models
https://portal.fis.tum.de/en/publications/digitalization-of-2d-bridge-drawings-using-deep-learning-models/
Digitalization of 2D Bridge Drawings Using Deep Learning Models - Technical University of Munich
deep learning models
https://www.handbook.unsw.edu.au/undergraduate/courses/2026/actl3143
Handbook - Artificial Intelligence and Deep Learning Models for Actuarial Applications
The UNSW Handbook is your comprehensive guide to degree programs, specialisations, and courses offered at UNSW.
deep learning modelsartificial intelligencehandbookactuarialapplications
https://hai.stanford.edu/research/training-confounder-free-deep-learning-models-for-medical-applications
Training Confounder-Free Deep Learning Models for Medical Applications | Stanford HAI
Training Confounder-Free Deep Learning Models for Medical Applications
deep learning modelsfor medicaltrainingfree
https://www.mdpi.com/2076-3417/12/12/5772
Development and Optimization of Deep Learning Models for Weapon Detection in Surveillance Videos
Weapon detection in CCTV camera surveillance videos is a challenging task and its importance is increasing because of the availability and easy access of...
deep learning models
https://researchdiscovery.drexel.edu/esploro/outputs/graduate/Adversarial-attacks-and-robustness-in-deep/991014961449004721
Adversarial attacks and robustness in deep learning models and applications - Drexel University
Numerous recent studies have demonstrated how deep learning (DL) classifiers can be fooled by adversarial examples, in which an attacker adds perturbations to...
deep learning modelsadversarial attacksrobustness
https://isprs-archives.copernicus.org/articles/XLIV-2-W1-2021/33/2021/
ISPRS-Archives - BOOSTING SEGMENTATION ACCURACY OF THE DEEP LEARNING MODELS BASED ON THE SYNTHETIC...
deep learning models
https://experts.illinois.edu/en/publications/locally-valid-and-discriminative-prediction-intervals-for-deep-le/
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models - Illinois Experts
deep learning models
https://econpapers.repec.org/paper/arxpapers/2405.11431.htm
EconPapers: Review of deep learning models for crypto price prediction: implementation and...
By Jingyang Wu, Xinyi Zhang, Fangyixuan Huang, Haochen Zhou and Rohtiash Chandra; Abstract: There has been much interest in accurate cryptocurrency price...
deep learning modelscrypto price prediction
https://www.coursera.org/learn/optimize-deep-learning-models-for-peak-ai?authMode=login
Optimize Deep Learning Models for Peak AI | Coursera
Offered by Coursera. This short, hands-on course helps learners adapt and optimize deep learning models for real-world use. Learners begin ... Enroll for free.
deep learning modelsoptimizepeakaicoursera
https://www.mathworks.com/videos/deep-learning-for-engineers-part-5-deploying-deep-learning-models-1617277371455.html
Deploying Deep Learning Models | Deep Learning for Engineers, Part 5 - MATLAB
This video covers the additional steps needed once you have a deep neural network: incorporating it into a larger design, gaining confidence in the system, and...
deep learning modelsfor engineersdeployingpartmatlab
https://data.mendeley.com/datasets/gfw7x8g6fc/1
Database and deep learning models for the prediction of total demand and maximum generation of...
This work is based on the modification of the "BanE-16" dataset Salehin et al. (2023), obtained from a repository which integrates the dynamics of the...
deep learning models
https://publikationen.bibliothek.kit.edu/1000140540
Industry 4.0-Oriented Deep Learning Models for Human Activity ...
According to the Industry 4.0 vision, humans in a smart factory, should be equipped with formidable and seamless communication capabilities and integrated into
deep learning modelsfor humanindustryorientedactivity
https://research.ibm.com/publications/serving-deep-learning-models-with-deduplication-from-relational-databases--1
Serving Deep Learning Models with Deduplication from Relational Databases for VLDB - IBM Research
Serving Deep Learning Models with Deduplication from Relational Databases for VLDB by Lixi Zhou et al.
deep learning models
https://kth.diva-portal.org/smash/record.jsf?pid=diva2:1941906
Deep learning models for drought susceptibility mapping in Southeast Queensland, Australia
deep learning modelsdrought
https://github.com/zkonduit/ezkl
GitHub - zkonduit/ezkl: ezkl is an engine for doing inference for deep learning models and other...
ezkl is an engine for doing inference for deep learning models and other computational graphs in a zk-snark (ZKML). Use it from Python, Javascript, or the...
https://amslaurea.unibo.it/id/eprint/32971/
Advanced Deep Learning Models in Earth Observation for Urban Applications: Bologna and Turin Case...
advanced deep learning
https://www.coursera.org/articles/neural-network-graphs
Exploring Neural Network Graphs: Understanding the Visual Representation of Deep Learning Models |...
Neural network graphs are an important part of designing and optimizing your neural network architecture. Explore the basic components of these graphs and...
neural networkthe visual
https://warwick.ac.uk/fac/sci/eng/postgraduate/funding/?newsItem=8ac672c59c51675d019c51abf32101c2
DC10 Development of deep learning-based surrogate models for predicting failure in meta-material...
Feb 12, 2026 - School of Engineering Scholarships
https://hess.copernicus.org/articles/30/1877/2026/hess-30-1877-2026-relations.html
HESS - Relations - Strategies for incorporating static features into global deep learning models
Abstract. Global deep learning (DL) models are increasingly used in hydrology and hydrogeology to model time series data across multiple sites simultaneously....
https://impacts.ucar.edu/en/publications/total-uncertainty-quantification-in-inverse-solutions-with-deep-l/
Total uncertainty quantification in inverse solutions with deep learning surrogate models - Impacts...
uncertainty quantification
https://researchportalplus.anu.edu.au/en/publications/optimization-of-deep-learning-precipitation-models-using-categori/fingerprints/
Optimization of Deep Learning Precipitation Models Using Categorical Binary Metrics - Fingerprint -...
deep learningoptimizationprecipitation
https://aws.amazon.com/blogs/machine-learning/serve-3000-deep-learning-models-on-amazon-eks-with-aws-inferentia-for-under-50-an-hour/
Serve 3,000 deep learning models on Amazon EKS with AWS Inferentia for under $50 an hour |...
Oct 23, 2023 - October 2023: This post was reviewed and updated to include support for Graviton and Inf2 instances. More customers are finding the need to build larger,...
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://arxiv.org/abs/2602.06837
[2602.06837] Learning Deep Hybrid Models with Sharpness-Aware Minimization
Abstract page for arXiv paper 2602.06837: Learning Deep Hybrid Models with Sharpness-Aware Minimization
hybrid modelslearningdeepsharpnessaware
https://profiles.wustl.edu/en/publications/synergistic-drug-combination-prediction-by-integrating-multiomics/
Synergistic drug combination prediction by integrating multiomics data in deep learning models -...
https://isprs-archives.copernicus.org/articles/XLVIII-4-W17-2025/7/2026/
ISPRS-Archives - Advanced Drought Prediction Using Hybrid Deep Learning Models: A Case Study of the...
https://learn.microsoft.com/en-us/azure/machine-learning/how-to-train-pytorch?view=azureml-api-2&viewFallbackFrom=azure-ml-py
Train deep learning PyTorch models (SDK v2) - Azure Machine Learning | Microsoft Learn
Learn how to run your PyTorch training scripts at enterprise scale using Azure Machine Learning SDK (v2).
deep learningtrainpytorchmodels