Výsledky vyhľadávania - "Learning Algorithm"

Intelligent secondary control for energy management in a micro-grid by using multi-agent system

Autori: Selseleh Jonban, Mansour

Prispievatelia: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica

Thesis Advisors: Romeral Martínez, José Luis

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Energy management system, Multi-agent system, Self-healing, Faulttolerance, Artificial intelligence, Subsumption architecture, Smart contract, Tendering process, First-price sealed-bid algorithm, Reinforcement learning, Markov decision process, C-means algorithm, Q-learning algorithm, Àrees temàtiques de la UPC::Enginyeria electrònica, Àrees temàtiques de la UPC::Energies, Àrees temàtiques de la UPC::Informàtica

Time: 621.3

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/690063
https://dx.doi.org/10.5821/dissertation-2117-402147

Yoga practices effect on VCSS-based classification of patients with chronic venous insufficiency based on hybrid machine learning algorithms

Autori: Changhong Pan Lu Qi Lili Zhao a ďalší

Zdroj: International Journal of Cognitive Computing in Engineering, Vol 6, Iss, Pp 255-266 (2025)

Predmety: Yoga practices, Venous clinical severity score, Decision Tree classifier, Electronic computers. Computer science, Science, Chronic venous insufficiency, QA75.5-76.95, Hybrid Machine Learning Algorithm

Prístupová URL adresa: https://doaj.org/article/094f4d3829df4bb496d23b86d20d4fbe

Determination of Alzheimer's Disease Stages by Artificial Learning Algorithms

Autori: Bulut, Nurgül Çakar, Tuna Arslan, İlker a ďalší

Zdroj: International Journal of Statistics in Medical Research. 14:532-542

Predmety: Matplotlib 3.6.0, Adult, Explainable Artificial Intelligence, Scikit-Learn 1.1.3, Major Clinical Study, Neuropsychiatric Inventory, Deep Neural Network, Python Programming Language Version 3.10, Learning Algorithm, Alzheimer's Disease, Sensitivity and Specificity, Article, Machine Learning, Python Libraries Numpy 1.23.0, Artificial Intelligence, Alzheimer Disease, Controlled Study, Neuropathology, Artificial Learning Algorithm, Aged, Principal Component Analysis, Tensorflow 2.10, Nuclear Magnetic Resonance Imaging, Random Forest, Receiver Operating Characteristic, National Alzheimer's Coordinating Center, Depression, Bayesian Learning, Geriatric Depression Scale, Machine Learning Algorithm, Mini Mental State Examination, Decision Support System, Shapley Addictive Explanations, Statsmodel 0.13.5, Logistic Regression Analysis, Montreal Cognitive Assessment, Physician, Pandas 1.5.0, Diagnostic Test Accuracy Study, Cognitive Defect, XGBoost, Human

Prístupová URL adresa: https://hdl.handle.net/20.500.11779/3094
https://doi.org/10.6000/1929-6029.2025.14.50

Identification of protein biomarkers to differentiate between gram-negative and gram-positive infections in adults suspected of sepsis

Autori: Irani Shemirani, Mahnaz Pernestig, Anna-Karin Björkman, Jens a ďalší

Zdroj: BMC Infectious Diseases. 25(1)

Predmety: Biomarkers, Diagnostics, Gram-negative bacteria, Gram-positive bacteria, Machine learning, Proteomics, Sepsis, biological marker, C reactive protein, procalcitonin, adult, algorithm, analytic method, area under the curve, Article, blood sampling, clinical article, cohort analysis, controlled study, diagnostic test accuracy study, enzyme linked immunosorbent assay, Escherichia coli, female, Gram negative sepsis, Gram positive bacterium, Gram positive infection, Haemophilus influenzae, human, Klebsiella pneumoniae infection, learning algorithm, leukocyte count, liquid chromatography-mass spectrometry, major clinical study, male, mass spectrometry, predictive value, principal component analysis, protein expression, Pseudomonas infection, quality control, random forest, retrospective study, sensitivity and specificity, Staphylococcus aureus, Streptococcus agalactiae, urea nitrogen blood level, diagnosis, Gram negative bacterium, Infection Biology, Infektionsbiologi

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-26016
https://doi.org/10.1186/s12879-025-11973-5

A Deep Learning Approach for Tracking Colorectal Cancer-Derived Extracellular Vesicles in Colon and Lung Models

Autori: Chiabotto, Giulia Dumontel, Bianca Zilli, Luca a ďalší

Zdroj: ACS Biomater Sci Eng

Predmety: colorectal cancer, extracellular vesicles, metastasis, deep learning algorithm, 2D and 3D models, Article

Popis súboru: application/pdf

Federated Deep Reinforcement Learning for ENDC Optimization

Autori: Adrian Martin Isabel de-la-Bandera Adriano Mendo a ďalší

Zdroj: RIUMA. Repositorio Institucional de la Universidad de Málaga
Universidad de Málaga

Predmety: Optimization, Handover, Learning agent, Optimal network, Deep reinforcement learning algorithm, Network capacity, Federated learning, Heterogeneous network, Deep neural network, Small step, Deep reinforcement learning agent, Key performance indicators, Aprendizaje automático (Inteligencia artificial), Reinforcement learning algorithm, Training, Heuristic algorithms, Training phase, Training cell, Individual agency, Neighboring cells, Long term evolution, Deep reinforcement learning, 5 G NSA, Telecomunicaciones, Multi party computation, Hysteresis, Cell clusters, Rest of the cells, Reinforcement learning agent, Event B 1, Cellular networks, Deep learning, RAN Optimization, Rate of network, Throughput, 5 G Mobile communication, User equipment, Mobile edge computing

Prístupová URL adresa: https://hdl.handle.net/10630/38565

Evaluating the Impact of Climate and Land-Use Change on Flood Susceptibility on a Global Scale

Autori: Rezaie, Fatemeh Janizadeh, Saeid Bateni, Sayed M. a ďalší

Zdroj: Water resources management. 40(3)

Predmety: Flood, Global climate model, Machine learning algorithm, Representative concentration pathway, Shared socioeconomic pathway, Susceptibility mapping

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-253257

Tree-Based Ensemble Regression Models for Emission Prediction of a Winter Green Oil-Hydrogen Dual-Fuel Engine with Zeolite After-Treatment

Autori: Josephin J S, Femilda Subramanian, Balaji Renjit, E.Jeslin a ďalší

Zdroj: Renewable energy. 257

Predmety: Machine learning algorithm, Dual fuel engine, Ensemble learning algorithms, Emission prediction, Alternative fuels, Operation and Maintenance Engineering, Drift och underhållsteknik

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-115384

SSD-SMR Write Cache Strategy for Optimizing Long-Tail Latency Based on Q-Learning

Autori: LIU Jian, ZHANG Buhao, FANG Kuangchi, LIU Xuanfeng, SUN Guodao, LIANG Ronghua, LIANG Haoran

Zdroj: Jisuanji gongcheng, Vol 52, Iss 3, Pp 287-298 (2026)

Predmety: q-learning algorithm, i/o load, long-tail latency, cache replacement algorithm, hybrid storage, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis súboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/70280.pdf; https://doaj.org/toc/1000-3428

Prístupová URL adresa: https://doaj.org/article/9fe5404cf1724eee80f8963c2ae964f0

An Arctic Puffin Optimization with SCA approach, enhanced by a random neural network model for detecting attacks on the Internet of Things

Autori: Mohamad Arefi Parisa Rahmani Hamid Shokrzadeh

Zdroj: Cyberspace Studies, Vol 10, Iss 1, Pp 61-80 (2026)

Predmety: intrusion detection system (ids), iot, machine learning algorithm, meta-heuristic algorithms, network security, sine-cosine algorithm (sca), Technology, Telecommunication, TK5101-6720

Popis súboru: electronic resource

Relation: https://jcss.ut.ac.ir/article_103726_c7c6b2d147b42ad89ebe63e590bbf17c.pdf; https://doaj.org/toc/2588-5499; https://doaj.org/toc/2588-5502

Prístupová URL adresa: https://doaj.org/article/36d39539c8d14700b2c28d9983a0c552

Development of a Glycated Albumin-Based Algorithm to Evaluate Diabetic Retinopathy in Adults with Type 2 Diabetes: A Cross-Sectional Study at a Hospital-Affiliated Physical Examination Center

Autori: Bai J Liu Y Wang F a ďalší

Zdroj: Diabetes, Metabolic Syndrome and Obesity, Vol 19, Iss Issue 1, Pp 1-13 (2026)

Predmety: Diabetic retinopathy, glycated albumin, machine learning algorithm, Specialties of internal medicine, RC581-951

Popis súboru: electronic resource

Relation: https://www.dovepress.com/development-of-a-glycated-albumin-based-algorithm-to-evaluate-diabetic-peer-reviewed-fulltext-article-DMSO; https://doaj.org/toc/1178-7007

Prístupová URL adresa: https://doaj.org/article/c47a36c8dd13466bb9c52e2f3f567b64

Evaluation of Classification Accuracy of Spectral Indices and Machine Learning Algorithms for Greenhouse Detection Using the Google Earth Engine Platform

Autori: Füsun Balık Şanlı Ali Murat Ateş Ramazan Güngör a ďalší

Zdroj: Journal of Agricultural Sciences, Vol 32, Iss 1, Pp 158-176 (2026)

Predmety: antalya, gee, greenhouse, machine learning algorithm, pgi, Agriculture (General), S1-972

Popis súboru: electronic resource

Relation: https://dergipark.org.tr/en/download/article-file/4998141; https://doaj.org/toc/1300-7580

Prístupová URL adresa: https://doaj.org/article/0b38e81051b641f3a113c28d92fd35f2

Multimedia Information Technology and Applications

Prispievatelia: Kim, Byung-Gyu Sekiya, Hiroo Lee, Deokwoo

Predmety: Open Access, Machine Learning Algorithm, Mobile Information Processing Systems, Computer Vision Representations, Multimedia Information Systems, Artificial intelligence, Human Computer Interaction (HCI), Visualization, Theory and Algorithms for Application Domains, Graphical and digital media applications, Image processing, Virtual reality, Augmented reality (AR), Human–computer interaction

Popis súboru: application/pdf

Relation: Communications in Computer and Information Science; Computer Science; Computer Science (R0)

Prístupová URL adresa: https://library.oapen.org/handle/20.500.12657/108690

Machine learning-based mapping of indoor radon potential using geogenic factors

Autori: Daviran, Mehrdad Masoumi, Iman Ghezelbash, Reza a ďalší

Zdroj: Environmental and Ecological Statistics. 32:893-928

Predmety: Geogenic factors, Indoor radon potential, Machine learning algorithm

Popis súboru: application/pdf

A new clustered federated learning algorithm for heterogeneous data in high-precision wireless sensing

Autori: Zongrui Tian Jiasheng Tian

Zdroj: Frontiers in Artificial Intelligence, Vol 9 (2026)

Predmety: data heterogeneity, federated learning algorithm, KL divergence, personalized federated learning algorithm, wireless sensing, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/frai.2026.1718193/full; https://doaj.org/toc/2624-8212

Prístupová URL adresa: https://doaj.org/article/a97ea8db3efa41738f2223f0b0ac3f22

Predictive models for clinical decision making: Deep dives in practical machine learning

Autori: Eloranta, Sandra Boman, Magnus

Zdroj: Journal of Internal Medicine. 292(2):278-295

Predmety: artificial intelligence, clinical decision-making, machine learning, physician, precision medicine, bioinformatics, biostatistics, clinical decision making, clinical decision support system, clinical outcome, clinical research, data science, human, learning algorithm, lymphoma, medical genetics, natural language processing, personalized medicine, prediction, predictive model, psychiatry, psychology, Review, risk assessment, statistical reasoning, survival analysis, workflow, procedures, Decision Support Systems, Clinical, Humans

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-323269
https://doi.org/10.1111/joim.13483

Multi-element geochemical anomaly recognition applying geologically-constrained convolutional deep learning algorithm with Butterworth filtering of frequency domain information

Autori: Hamid Sabbaghi Seyed Hassan Tabatabaei Nader Fathianpour

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-14 (2025)

Predmety: Cr mineralization, Convolutional deep learning algorithm, Geologically-constrained neural network, Frequency domain data, Geochemical anomaly recognition, Butterworth filter, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/be643ff904c240688621ec70f5f1597f

Modeling the Combined Problem of Determining the Lot Sizing and Cutting Stock of Raw Materials and Solving With Deep Reinforcement Learning and Exact Method

Autori: Seyed Jamaleddin Hosseini Ali Mohaghar Ghasem Mokhtari a ďalší

Zdroj: مدیریت مهندسی و رایانش نرم, Vol 11, Iss 2, Pp 326-347 (2025)

Predmety: determining lot size, deep reinforcement learning algorithm, one-dimensional raw material cutting, delay penalty, overtime cost, Industrial engineering. Management engineering, T55.4-60.8

Popis súboru: electronic resource

Relation: https://jemsc.qom.ac.ir/article_3955_ebd348a50d5c369eec0f337eeab05548.pdf; https://doaj.org/toc/2538-6239; https://doaj.org/toc/2538-2675

Prístupová URL adresa: https://doaj.org/article/07b81c15f9134a9d8dc0c9ee6592f7b5

Development and validation of a predictive model for postoperative acute respiratory distress syndrome in patients with type A aortic dissection based on the 2023 updated definition

Autori: ChengBin Tang Tianwei Wang Haiqing Diao a ďalší

Zdroj: Respiratory Research, Vol 26, Iss 1, Pp 1-13 (2025)

Predmety: ARDS, Machine learning algorithm, Prediction model, Diseases of the respiratory system, RC705-779

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1465-993X

Prístupová URL adresa: https://doaj.org/article/197ba1a6e1824407b45c9d4e7e6e3aa5

Soil erosion susceptibility assessment in the Bistrița River basin (Romania) using machine learning algorithms and GIS

Autori: George Muratoreanu Daniel Dunea Danut Tanislav a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-20 (2025)

Predmety: Soil erosion, Machine learning algorithm, RUSLE, Bistrita watershed, Spatial modeling, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/73d91f0ae540421783947cb7daaba6bb