Search Results - Computing methodologies Machine learning Machine learning approaches Factorization methods

High performance computing and artificial intelligence algorithms for dimensionality reduction of turbulent flows

Authors: Eiximeno Franch, Benet

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament de Física

Thesis Advisors: Rodríguez Pérez, Ivette María, Lehmkuhl Barba, Oriol

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: reduced order models, high performance computing, deep learning, singular value decomposition, variational autoencoders, Àrees temàtiques de la UPC::Física, Àrees temàtiques de la UPC::Informàtica, 531/534 - Mecànica. Vibracions. Acústica, 004 - Informàtica

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/695826
https://dx.doi.org/10.5821/dissertation-2117-446576

Unsupervised learning for medical data: A review of probabilistic factorization methods.

Authors: Neijzen D Lunter G

Source: Statistics in medicine [Stat Med] 2023 Dec 30; Vol. 42 (30), pp. 5541-5554. Date of Electronic Publication: 2023 Oct 18.

Publication Type: Journal Article; Review

Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 8215016 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0258 (Electronic) Linking ISSN: 02776715 NLM ISO Abbreviation: Stat Med Subsets: MEDLINE

MeSH Terms: Unsupervised Machine Learning* , Algorithms*, Humans ; Models, Statistical ; Genomics ; Cluster Analysis

Machine learning-based drug-drug interaction prediction: a critical review of models, limitations, and data challenges.

Authors: Gheorghita, Flaviu-Ioan Bocanet, Vlad-Ioan Iantovics, Laszlo Barna

Source: Frontiers in Pharmacology; 2025, p1-25, 25p

Subject Terms: MACHINE learning, DRUG interactions, GRAPH neural networks, SUPERVISED learning

Research on Surface Water State for Rivers in Western Ukraine Using Time Series Forecasting Methods.

Authors: Bytsyura, Leonid Szczepanik-Scislo, Nina Desyatnyuk, Oksana et al.

Source: Water (20734441); Nov2025, Vol. 17 Issue 21, p3148, 27p

Subject Terms: FORECASTING, WATER quality monitoring, WATER management, PREDICTION models, BODIES of water, FORECASTING methodology

Geographic Terms: UKRAINE

An Enhanced Machine Learning Approach for Regional Total Suspended Matter Concentration Retrieval Using Multispectral Imagery.

Authors: Chen, Xiuxiu Lou, Ge Li, Hongbo et al.

Source: Water (20734441); Nov2025, Vol. 17 Issue 22, p3252, 18p

Subject Terms: MULTISPECTRAL imaging, REMOTE sensing, WATER quality, LAKES, SUSPENDED solids, MACHINE learning, SUPPORT vector machines, FEATURE extraction

Geographic Terms: JIANGSU Sheng (China), CHINA

Accelerated and Energy-Efficient Galaxy Detection: Integrating Deep Learning with Tensor Methods for Astronomical Imaging.

Authors: Farias, Humberto Damke, Guillermo Solar, Mauricio et al.

Source: Universe (2218-1997). Feb2025, Vol. 11 Issue 2, p73. 34p.

Subject Terms: *CLASSIFICATION of galaxies, *MORPHOLOGY, *DEEP learning, *ASTRONOMICAL surveys, *ENERGY consumption

Knowledge‐Guided Machine Learning for Operational Flood Forecasting.

Authors: McEachran, Zac Ghosh, Rahul Renganathan, Arvind et al.

Source: Water Resources Research; Nov2025, Vol. 61 Issue 11, p1-18, 18p

Subject Terms: FLOOD forecasting, MACHINE learning, HYDROLOGIC models, FORECASTING, DATA integration, COMPUTER simulation, WATERSHEDS

Company/Entity: UNITED States. National Weather Service

“To Improve Model Precision via the Integration of AI and IoT in Mathematical Modeling”.

Authors: patwari, monika Singhal, Jagrati

Source: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 3, p3323-3329, 7p

Subject Terms: ARTIFICIAL intelligence, MACHINE learning, LINEAR programming, DEEP learning, MATHEMATICAL models

Enhancing Early Detection of Oral Squamous Cell Carcinoma: A Deep Learning Approach with LRT-Enhanced EfficientNet-B3 for Accurate and Efficient Histopathological Diagnosis.

Authors: El-Aziz, A. A. Abd Mahmood, Mahmood A. El-Ghany, Sameh Abd

Source: Diagnostics (2075-4418); Jul2025, Vol. 15 Issue 13, p1678, 42p

Subject Terms: SQUAMOUS cell carcinoma, DEEP learning, ORAL cancer, HISTOPATHOLOGY, DIAGNOSIS

DHCLHAM: microbe-drug interaction prediction based on dual-hypergraph contrastive learning framework with hierarchical attention mechanism.

Authors: Hu, Hailong Nie, Cong

Source: Frontiers in Microbiology; 2025, p1-21, 21p

Subject Terms: HYPERGRAPHS, COMPUTATIONAL biology, MACHINE learning, QUANTITATIVE research, INDIVIDUALIZED medicine

Innovative Approach for Diabetic Retinopathy Severity Classification: An AI-Powered Tool using CNN-Transformer Fusion.

Authors: Rezaee, Khosro Farnami, Fateme

Source: Journal of Biomedical Physics & Engineering; Apr2025, Vol. 15 Issue 2, p137-158, 22p

Subject Terms: CONVOLUTIONAL neural networks, ARTIFICIAL intelligence, DATA augmentation, IMAGE recognition (Computer vision), FUNDUS oculi, DEEP learning

Deep Learning With DAGs.

Authors: Balgi, Sourabh Daoud, Adel Peña, Jose M. et al.

Source: Sociological Methods & Research; Nov2025, Vol. 54 Issue 4, p1624-1682, 59p

Subject Terms: DEEP learning, CAUSAL inference, CAUSATION (Philosophy), CAUSAL models, DIRECTED acyclic graphs, STATUS attainment, SCIENTIFIC observation, FLOWGRAPHS

A Review of Water Quality Forecasting and Classification Using Machine Learning Models and Statistical Analysis.

Authors: Lokman, Amar Ismail, Wan Zakiah Wan Aziz, Nor Azlina Ab

Source: Water (20734441); Aug2025, Vol. 17 Issue 15, p2243, 31p

Subject Terms: WATER quality, MACHINE learning, FORECASTING, ENSEMBLE learning, DATA quality, STATISTICS, CLASSIFICATION, SUSTAINABILITY

Geographic Terms: MALAYSIA

Deep learning-based approaches for multi-omics data integration and analysis.

Authors: Ballard, Jenna L. Wang, Zexuan Li, Wenrui et al.

Source: BioData Mining; 10/2/2024, Vol. 17 Issue 1, p1-29, 29p

Subject Terms: FEEDFORWARD neural networks, CONVOLUTIONAL neural networks, MULTIOMICS, DEEP learning, DATA integration, TRANSCRIPTOMES

ESTIMATION OF CROP RECOMMENDATION USING GENERATIVE ADVERSARIAL NETWORK WITH OPTIMIZED MACHINE LEARNING MODEL.

Authors: Lohar, Reshma Mathur, Harsh patil, Vishal Ratansing

Source: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 4, p328-341, 14p

Subject Terms: MACHINE learning, SUSTAINABLE agriculture, GENERATIVE adversarial networks, AGRICULTURE, SUSTAINABILITY

Advanced Techniques For Facial Expression Analysis In Individuals With Mental Retardation: A Machine Learning Perspective.

Authors: Panpaliya, Mayuri N. Tijare, Pritish A.

Source: African Journal of Biomedical Research; 2025 Supplement, Vol. 28, p2145-2152, 8p

Subject Terms: MACHINE learning, DEEP learning, INTELLECTUAL disabilities, RESEARCH methodology, EMOTION recognition, FACE-to-face communication

Predictive Modeling of COVID-19 Readmissions: Insights from Machine Learning and Deep Learning Approaches.

Authors: Loo, Wei Kit Voon, Wingates Suhaimi, Anwar et al.

Source: Diagnostics (2075-4418); Jul2024, Vol. 14 Issue 14, p1511, 16p

Subject Terms: DEEP learning, MACHINE learning, ARTIFICIAL intelligence, RANDOM forest algorithms, DECISION trees

A variational autoencoder for probabilistic non-negative matrix factorisation.

Authors: Squires, Steven Prügel Bennett, Adam Niranjan, Mahesan

Source: Pattern Analysis & Applications. Dec2025, Vol. 28 Issue 4, p1-10. 10p.

Attention-guided deep learning–machine learning and statistical feature fusion for interpretable mental workload classification from EEG.

Authors: Majumder, Sukanta Patra, Dibyendu Gorai, Subhajit et al.

Source: Cognitive Neurodynamics; 12/6/2025, Vol. 20 Issue 1, p1-23, 23p

ML-Empowered Microservice Workload Prediction by Dual-Regularized Matrix Factorization.

Authors: Luo, Xiaoxuan Shen, Hong Ke, Wei

Source: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 11, p5946, 18p

Subject Terms: MATRIX decomposition, MATRIX multiplications, MACHINE learning, DATA analysis, DYNAMIC models