Výsledky vyhledávání - Computing methodologies Machine learning Machine learning algorithms Feature section~

Combined Genome and Protein Statistical Features Improved the Prediction of Genes Encoding Antimicrobial Peptides: A Machine Learning Based Approach.

Autoři: Rasani, M. Karami, K. Nassiri, M. a další

Zdroj: Iranian Journal of Applied Animal Science. Spring2025, Vol. 15 Issue 2, p191-209. 19p.

Témata: Antimicrobial peptides, Machine learning, Drug development, Naive Bayes classification, Genetic markers, Statistics

3D Reconstruction based on multi-view stereo in the deep learning era: a survey and comparison of methods.

Autoři: Song, Boyang Wu, Bing Xiao, Jin a další

Zdroj: Visual Computer. Dec2025, Vol. 41 Issue 15, p12765-12810. 46p.

Témata: *DEEP learning, *DEPTH maps (Digital image processing), *EVALUATION methodology, *FEATURE extraction, *THREE-dimensional imaging, *TRANSFORMER models

Quantum machine learning-driven surrogate modeling for efficient multi-objective optimization of CO2 storage and geothermal energy extraction.

Autoři: Mohammadi, Babak Chen, Mingjie Nikoo, Mohammad Reza a další

Zdroj: Advances in Geo-Energy Research. Nov2025, Vol. 18 Issue 2, p137-152. 16p.

Témata: *MULTI-objective optimization, *QUANTUM computing, *CARBON sequestration, *OPTIMIZATION algorithms, *THERMAL gradient measurment, *GEOTHERMAL resources, *APPROXIMATION theory, *FEATURE selection

Unsupervised Machine Learning for Data-Driven Rock Mass Classification: Addressing Limitations in Existing Systems Using Drilling Data.

Autoři: Hansen, Tom F. Aarset, Arnstein

Zdroj: Rock Mechanics & Rock Engineering. Oct2025, Vol. 58 Issue 10, p11261-11291. 31p.

Témata: *CLUSTERING algorithms, *DIMENSIONAL reduction algorithms, *GEOTECHNICAL engineering, *UNDERGROUND construction, *QUANTITATIVE research, *MATHEMATICAL optimization, *EMPIRICAL research

Precision Unveiled in Unborn: A Cutting-Edge Hybrid Machine Learning Approach for Fetal Health State Classification.

Autoři: Prachi Sabherwal P Agrawal M a další

Zdroj: Cardiovascular engineering and technology [Cardiovasc Eng Technol] 2025 Dec; Vol. 16 (6), pp. 641-662. Date of Electronic Publication: 2025 Aug 27.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer Country of Publication: United States NLM ID: 101531846 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1869-4098 (Electronic) Linking ISSN: 1869408X NLM ISO Abbreviation: Cardiovasc Eng Technol Subsets: MEDLINE

Výrazy ze slovníku MeSH: Machine Learning* , Heart Rate, Fetal* , Electrocardiography* , Fetal Monitoring*/methods , Signal Processing, Computer-Assisted* , Cardiotocography* , Deep Learning* , Heart Defects, Congenital*/physiopathology , Heart Defects, Congenital*/diagnosis , Fetal Heart*/physiopathology, Humans ; Pregnancy ; Female ; Predictive Value of Tests ; Reproducibility of Results

FUZZY SEA HORSE OPTIMIZATION ALGORITHM (FSHOA) AND QUINE MCCLUSKEY ENSEMBLE CLASSIFIER (QMEC) FOR HEART DISEASE PREDICTION.

Autoři: Manimozhi, V. Chitra, K.

Zdroj: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 4, p5310-5338, 29p

Témata: SEA horses, OPTIMIZATION algorithms, FEATURE selection, SUPPORT vector machines, MACHINE learning

Integrated Data-Driven Framework for Forecasting Tight Gas Production Based on Machine Learning Algorithms, Feature Selection and Fracturing Optimization.

Autoři: Yao, Fuyu Hui, Gang Meng, Dewei a další

Zdroj: Processes; Apr2025, Vol. 13 Issue 4, p1162, 23p

Témata: MACHINE learning, YOUNG'S modulus, DECISION making in investments, FEATURE selection, FLUID injection

Anna: an open-source platform for real-time integration of machine learning classifiers with veterinary electronic health records.

Autoři: Kong, Chun Yin Vasquez, Picasso Farhoodimoghadam, Makan a další

Zdroj: BMC Veterinary Research. 10/2/2025, Vol. 21 Issue 1, p1-12. 12p.

Témata: Machine learning, Electronic health records, Open source software, Patient care, Veterinary medicine, Diagnosis, Classification algorithms, Synchronization

Machine Learning and Metaheuristics Approach for Individual Credit Risk Assessment: A Systematic Literature Review.

Autoři: Paz, Álex Crawford, Broderick Monfroy, Eric a další

Zdroj: Biomimetics (2313-7673); May2025, Vol. 10 Issue 5, p326, 46p

Témata: CREDIT analysis, CREDIT risk, MACHINE learning, METAHEURISTIC algorithms, PARTICLE swarm optimization, BIOLOGICALLY inspired computing

GENE CANCER CLASSIFICATION USING ENHANCED TRANSFERABLE REINFORCEMENT LEARNING AND ENHANCED RESNET ALGORITHM.

Autoři: B., Sanjay Krishna C., Agjelia Lydia

Zdroj: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 3, p4693-4721, 29p

Témata: MACHINE learning, REINFORCEMENT learning, DEEP learning, FEATURE selection, TUMOR classification

College student mental health assessment: Predictive models based on machine learning and feature importance analysis.

Autoři: Liu, Cheng Ji, Lin Lu, Juncheng a další

Zdroj: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 3, p1-21, 21p

Témata: MENTAL health, MACHINE learning, PSYCHOTHERAPY, COLLEGE students, PREDICTION models, QUANTITATIVE research, AFFECTIVE disorders, SYMPTOM Checklist-90-Revised

Deep Learning Espoused Imaging Modalities for Skin Cancer Diagnosis: A Review.

Autoři: Sumaiya, Noor Ali, Anooja

Zdroj: Frontiers in Biomedical Technologies; Autumn2025, Vol. 12 Issue 4, p902-917, 16p

Témata: SKIN cancer, DIAGNOSIS, DIAGNOSTIC imaging, GENERATIVE adversarial networks, FEDERATED learning, DEEP learning, ARTIFICIAL neural networks, DERMATOLOGY

EfficientNet-based Cloud Network Infrastructure for Improved Early Detection of Breast Cancer.

Autoři: Sandhu, Jasjeet Kaur Kaur, Amandeep Sharma, Chetna

Zdroj: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 3, p4493-4531, 39p

Témata: MACHINE learning, CANCER diagnosis, EARLY detection of cancer, FEATURE extraction, INFRASTRUCTURE (Economics)

Predicting Diabetes Risk Using Machine Learning: A Comparative Study on the Yazd Health Study (YaHS).

Autoři: Sefid, Fateme Norouzi-Ghahjavarestani, Nazanin Soleymani-Tabasi, Malihe a další

Zdroj: Iranian Journal of Diabetes & Obesity (IJDO); Autumn2025, Vol. 17 Issue 3, p182-192, 11p

Témata: DIABETES, MACHINE learning, RANDOM forest algorithms, DATA scrubbing, SUPPORT vector machines, MEDICAL databases, RISK assessment, PUBLIC health research

Predictive Modelling Of Stress Levels: A Comparative Analysis Of Machine Learning Algorithms.

Autoři: Sasane, Sumit Mulla, Zameer Ahmed S.

Zdroj: Journal of Advanced Zoology. 2024 Supplement, Vol. 45, p153-158. 6p.

Speech pattern disorders in verbally fluent individuals with autism spectrum disorder: a machine learning analysis.

Autoři: Hu, Chuanbo Thrasher, Jacob Li, Wenqi a další

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

Témata: AUTISM spectrum disorders, MACHINE learning, VOICE analysis, EVALUATION methodology, SPEECH disorders, SUPPORT vector machines, PROSODIC analysis (Linguistics), PHONETICS

Oscillometric blood pressure estimation using machine learning-based mapping of waveform features.

Autoři: Ezeddin, Maymouna Chowdhury, Moajjem Hossain Khandakar, Amith a další

Zdroj: Biomedical Engineering Letters; Nov2025, Vol. 15 Issue 6, p1123-1134, 12p

Developing Machine Learning Models for Optimal Design of Water Distribution Networks Using Graph Theory-Based Features.

Autoři: Bahrami Chegeni, Iman Riyahi, Mohammad Mehdi Bakhshipour, Amin E. a další

Zdroj: Water (20734441); Jun2025, Vol. 17 Issue 11, p1654, 33p

Témata: MACHINE learning, GRAPH theory, WATER distribution, MACHINE theory, RANDOM forest algorithms

Enhancing DDoS Attacks Mitigation Using Machine Learning and Blockchain-Based Mobile Edge Computing in IoT.

Autoři: Chaira, Mahmoud Belhenniche, Abdelkader Chertovskih, Roman

Zdroj: Computation; Jul2025, Vol. 13 Issue 7, p158, 17p

Témata: DENIAL of service attacks, MACHINE learning, INTERNET of things, EDGE computing, ELECTRONIC data processing, CYBERTERRORISM, SIGNAL detection, BLOCKCHAINS

2D Prediction of the Nutritional Composition of Dishes from Food Images: Deep Learning Algorithm Selection and Data Curation Beyond the Nutrition5k Project.

Autoři: Bianco, Rachele Coluccia, Sergio Marinoni, Michela a další

Zdroj: Nutrients. Jul2025, Vol. 18 Issue 13, p2196. 23p.