Výsledky vyhledávání - Computing methodologies Machine learning Learning paradigms Supervised learning*

Triboelectric nanogenerators for neural data interpretation: bridging multi-sensing interfaces with neuromorphic and deep learning paradigms.

Autoři: Gan, Lingli Yuan, Shuqin Guo, Min a další

Zdroj: Frontiers in Computational Neuroscience; 2025, p1-10, 10p

Témata: DEEP learning, COMPUTATIONAL neuroscience, NEUROLOGIC examination, NANOGENERATORS, PATIENT monitoring, OLDER patients, BRAIN-computer interfaces, ARTIFICIAL neural networks

Improving Coronary Artery Disease Diagnosis in Cardiac MRI with Self-Supervised Learning.

Autoři: Khalid, Usman Kaya, Mehmet Alhajj, Reda

Zdroj: Diagnostics (2075-4418); Oct2025, Vol. 15 Issue 20, p2618, 22p

Témata: CORONARY artery disease, CARDIAC magnetic resonance imaging, MACHINE learning, SUPERVISED learning, MEDICAL software, CLASSIFICATION algorithms

Machine learning‐assisted point‐of‐care diagnostics for cardiovascular healthcare.

Autoři: Wang, Kaidong Tan, Bing Wang, Xinfei a další

Zdroj: Bioengineering & Translational Medicine; Jul2025, Vol. 10 Issue 4, p1-18, 18p

Témata: MACHINE learning, CARDIOVASCULAR disease diagnosis, POINT-of-care testing, REAL-time computing, HEALTH care teams, TEST validity, DATA privacy, VASCULAR diseases

A narrative review of deep learning applications in sports performance analysis: current practices, challenges, and future directions.

Autoři: Jia, Yunke Anida Abdullah, Norli Eliza, Hafiz a další

Zdroj: BMC Sports Science, Medicine & Rehabilitation; 8/27/2025, Vol. 17 Issue 1, p1-20, 20p

Témata: DEEP learning, PREDICTION models, ATHLETIC ability, HUMAN activity recognition, REAL-time computing, MOTION detectors, PREVENTION of injury

Machine Learning Paradigms for UAV Path Planning: Review and Challenges.

Autoři: Bacha, Anis Mahmoud Zamoum, Razika Boushaki Lachekhab, Fadhila

Zdroj: Journal of Robotics & Control (JRC); 2025, Vol. 6 Issue 1, p215-233, 19p

Témata: MACHINE learning, REINFORCEMENT learning, PATTERN recognition systems, AERONAUTICAL navigation, ROBOTIC path planning, SUPERVISED learning, MATHEMATICAL optimization

Machine Learning-Based Prediction of Three-Year Heart Failure and Mortality After Premature Ventricular Contraction Ablation.

Autoři: Lin, Chung-Yu Lai, Yu-Te Chuang, Chien-Wei a další

Zdroj: Diagnostics (2075-4418); Nov2025, Vol. 17 Issue 21, p2693, 18p

Témata: HEART failure, CATHETER ablation, RISK assessment, MACHINE learning, DEATH forecasting, SUPERVISED learning, ARRHYTHMIA

Deep Learning-Based Mpox Skin Lesion Detection and Real-Time Monitoring in a Smart Healthcare System †.

Autoři: Alghoraibi, Huda Alqurashi, Nuha Alotaibi, Sarah a další

Zdroj: Diagnostics (2075-4418); Oct2025, Vol. 15 Issue 19, p2505, 26p

Témata: MONKEYPOX, SKIN disease diagnosis, HEALTH care industry, MOBILE apps, HEALTH information systems, PUBLIC health surveillance, DEEP learning, REAL-time computing

Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.

Autoři: Akbarein, Hesameddin Taaghi, Mohammad Hussein Mohebbi, Mahyar a další

Zdroj: Veterinary Medicine & Science. May2025, Vol. 11 Issue 3, p1-29. 29p.

Témata: Machine learning, Artificial intelligence, Veterinary medicine, Resource allocation, Medical research

A Self-Supervised Pre-Trained Transformer Model for Accurate Genomic Prediction of Swine Phenotypes.

Autoři: Xiang, Weixi Li, Zhaoxin Sun, Qixin a další

Zdroj: Animals (2076-2615); Sep2025, Vol. 15 Issue 17, p2485, 17p

Témata: DEEP learning, TRANSFORMER models, GENETIC profile, ANIMAL breeding, HERITABILITY, SUPERVISED learning, SWINE breeds

Fear Detection Using Electroencephalogram and Artificial Intelligence: A Systematic Review.

Autoři: Serna, Bladimir Salazar, Ricardo Alonso-Silverio, Gustavo A. a další

Zdroj: Brain Sciences (2076-3425); Aug2025, Vol. 15 Issue 8, p815, 24p

Témata: ARTIFICIAL intelligence, AFFECTIVE computing, MACHINE learning, EMOTION recognition, NEUROPHYSIOLOGY, ELECTROENCEPHALOGRAPHY, EMOTIONAL state

Mathematical Optimization in Machine Learning for Computational Chemistry.

Autoři: Zekić, Ana

Zdroj: Computation; Jul2025, Vol. 13 Issue 7, p169, 23p

Témata: MATHEMATICAL optimization, MACHINE learning, COMPUTATIONAL chemistry, SUBGRADIENT methods, SURROGATE-based optimization, ACTIVE learning, MOLECULAR dynamics

Implementation of Classical Decision Trees in a Quantum Computing Paradigm

Autoři: M. P. Cuellar L. G. B. Ruiz M. C. Pegalajar

Zdroj: Lecture Notes in Computer Science ISBN: 9783031741821
Digibug. Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)

Témata: Quantum Decision Forests, Quantum Decision Tree, Quantum Machine Learning

Přístupová URL adresa: https://hdl.handle.net/10481/98137

Contrastive self-supervised learning for neurodegenerative disorder classification.

Autoři: Gryshchuk, Vadym Singh, Devesh Teipel, Stefan a další

Zdroj: Frontiers in Neuroinformatics; 2025, p1-13, 13p

Témata: MACHINE learning, CONVOLUTIONAL neural networks, SUPERVISED learning, FRONTOTEMPORAL lobar degeneration, ALZHEIMER'S disease

Artificial Intelligence in the Diagnosis and Management of Atrial Fibrillation.

Autoři: Țica, Otilia Champsi, Asgher Duan, Jinming a další

Zdroj: Diagnostics (2075-4418); Oct2025, Vol. 15 Issue 20, p2561, 20p

Témata: ARTIFICIAL intelligence, ATRIAL fibrillation, MACHINE learning, DEEP learning, ELECTROCARDIOGRAPHY, MEDICAL care, CARDIOLOGY, CLINICAL decision making

Electroencephalography-Based Machine Learning for Biomarker Detection in Dyslexia and Autism Spectrum Disorder: A Comparative Review of Models, Features, and Diagnostic Utility.

Autoři: Eroğlu, Günet

Zdroj: Diagnostics (2075-4418); Sep2025, Vol. 15 Issue 18, p2388, 18p

Témata: ELECTROENCEPHALOGRAPHY, MACHINE learning, DIAGNOSTIC services, EVALUATION methodology, BIOMARKERS, FEATURE extraction, DYSLEXIA, AUTISM spectrum disorders

Machine Learning Models of the Geospatial Distribution of Groundwater Quality: A Systematic Review.

Autoři: Mehrabi, Mohammad Polya, David A. Han, Yang

Zdroj: Water (20734441); Oct2025, Vol. 17 Issue 19, p2861, 48p

Témata: MACHINE learning, GROUNDWATER quality, STATISTICAL reliability, PREDICTION models, SPATIAL variation, ENVIRONMENTAL risk assessment, POLLUTANTS

An overview of artificial intelligence and machine learning in shoulder surgery.

Autoři: Cho, Sung-Hyun Kim, Yang-Soo

Zdroj: Clinics in Shoulder & Elbow; Jun2025, Vol. 28 Issue 2, p242-250, 9p

Témata: MACHINE learning, FEDERATED learning, ENSEMBLE learning, ARTIFICIAL intelligence, REINFORCEMENT learning

A survey on novel approach to semantic computing for domain specific multi-lingual man-machine interaction.

Autoři: Bohra, Anjali Barwar, Nemi Chand

Zdroj: International Journal of Informatics & Communication Technology (IJ-ICT); Apr2025, Vol. 15 Issue 1, p1-10, 10p

Témata: NATURAL language processing, SEMANTIC computing, MACHINE translating, QUESTION answering systems, MACHINE learning

Redefining Preclinical Research Paradigms: AI-Driven Drug Discovery as a Transformative Approach to Accelerate Innovation, Improve Predictive Accuracy, and Reduce Reliance on Animal Testing.

Autoři: Nagpure, Nishita Raut, Harshal Kamble, Shubham a další

Zdroj: Journal of Drug Delivery & Therapeutics; Oct2025, Vol. 15 Issue 10, p115-128, 14p

Témata: MACHINE learning, PREDICTION algorithms, DATA quality, ANIMAL experimentation, COMPUTER-assisted drug design, TRANSLATIONAL research

HISTOPATHOLOGICAL IMAGE ANALYSIS, DEEP LEARNING AND THE INTEGRATION OF LARGE LANGUAGE MODELS FOR BIOMEDICAL KNOWLEDGE REASONING, DIAGNOSTIC REPORTING AND EXPLAINABILITY.

Autoři: Kumar, Sanjeev Kumar, Ankit Bhardwaj, Ankur a další

Zdroj: Biochemical & Cellular Archives; Oct2025, Vol. 25 Issue 2, p2175-2180, 6p

Témata: DEEP learning, HISTOPATHOLOGY, LANGUAGE models, DIAGNOSTIC examinations, CONVOLUTIONAL neural networks, TRANSFORMER models, MEDICAL specialties & specialists