Suchergebnisse - "Machine Learning Algorithm"

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

Autoren: Changhong Pan Lu Qi Lili Zhao et al.

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

Schlagwörter: 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

Zugangs-URL: https://doaj.org/article/094f4d3829df4bb496d23b86d20d4fbe

Determination of Alzheimer's Disease Stages by Artificial Learning Algorithms

Autoren: Bulut, Nurgül Çakar, Tuna Arslan, İlker et al.

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

Schlagwörter: 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

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

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

Autoren: Rezaie, Fatemeh Janizadeh, Saeid Bateni, Sayed M. et al.

Quelle: Water resources management. 40(3)

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

Dateibeschreibung: print

Zugangs-URL: 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

Autoren: Josephin J S, Femilda Subramanian, Balaji Renjit, E.Jeslin et al.

Quelle: Renewable energy. 257

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

Dateibeschreibung: print

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

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

Autoren: Mohamad Arefi Parisa Rahmani Hamid Shokrzadeh

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: 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

Autoren: Bai J Liu Y Wang F et al.

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

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

Dateibeschreibung: 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

Zugangs-URL: 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

Autoren: Füsun Balık Şanlı Ali Murat Ateş Ramazan Güngör et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/0b38e81051b641f3a113c28d92fd35f2

Multimedia Information Technology and Applications

Weitere Verfasser: Kim, Byung-Gyu Sekiya, Hiroo Lee, Deokwoo

Schlagwörter: 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

Dateibeschreibung: application/pdf

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

Zugangs-URL: https://library.oapen.org/handle/20.500.12657/108690

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

Autoren: Daviran, Mehrdad Masoumi, Iman Ghezelbash, Reza et al.

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

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

Dateibeschreibung: application/pdf

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

Autoren: ChengBin Tang Tianwei Wang Haiqing Diao et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/197ba1a6e1824407b45c9d4e7e6e3aa5

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

Autoren: George Muratoreanu Daniel Dunea Danut Tanislav et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/73d91f0ae540421783947cb7daaba6bb

Unraveling diethyl phthalate-induced prostate carcinogenesis: core targets revealed by integrated network toxicology, machine learning, and structural validation

Autoren: Hao Liu Junyi Jiang Ying Tan et al.

Quelle: Human Genomics, Vol 19, Iss 1, Pp 1-11 (2025)

Schlagwörter: Diethyl phthalate, Prostate cancer, Network toxicology, Machine learning algorithm, Molecular docking, Medicine, Genetics, QH426-470

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1479-7364

Zugangs-URL: https://doaj.org/article/14108bbe8a9145e884368abd29ec5a86

Exploring the toxicological impact of DEHP exposure on colorectal cancer through network toxicology, machine learning and bioinformatics analysis

Autoren: Ling Wang Yuning Qin Wenbin Fan

Quelle: BMC Pharmacology and Toxicology, Vol 27, Iss 1, Pp 1-14 (2025)

Schlagwörter: Colorectal cancer, DEHP, Network toxicology, Molecular docking, Machine learning algorithm, Therapeutics. Pharmacology, RM1-950, Toxicology. Poisons, RA1190-1270

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2050-6511

Zugangs-URL: https://doaj.org/article/8351facd267a407598d1fb03543dd119

Establishment and validation of a diagnostic model for cholangiocarcinoma based on LightGBM machine-learning algorithm

Autoren: Zeyu Zhang Xueyan Geng Maopeng Yin et al.

Quelle: Scientific Reports, Vol 16, Iss 1, Pp 1-16 (2025)

Schlagwörter: Cholangiocarcinoma, Diagnostic model, Machine-learning algorithm, WGCNA, Immune cell infiltration, Medicine, Science

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/2d11c8f5f74348bea64797a676bb838c

Integrative machine learning identifies lactylation-related gene signature prognostic for chemotherapeutic efficacy in colorectal carcinoma

Autoren: Hui Hu Fang Peng QinWen Ba et al.

Quelle: Discover Oncology, Vol 17, Iss 1, Pp 1-20 (2025)

Schlagwörter: Colorectal cancer, Chemotherapy, Machine learning algorithm, Bioinformatics, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2730-6011

Zugangs-URL: https://doaj.org/article/b466d797aa7d4804ba4f81d8cccffb45

A Predictive Model Based on Machine Learning Algorithm for Vein Thrombosis After Ovarian Cancer Resection

Autoren: Zhao L Yao L

Quelle: International Journal of Women's Health, Vol 17, Iss Issue 1, Pp 4207-4226 (2025)

Schlagwörter: Ovarian cancer, machine learning algorithm, predictive model, postoperative venous thromboembolism, risk factors, XGBoost, Gynecology and obstetrics, RG1-991

Dateibeschreibung: electronic resource

Relation: https://www.dovepress.com/a-predictive-model-based-on-machine-learning-algorithm-for-vein-thromb-peer-reviewed-fulltext-article-IJWH; https://doaj.org/toc/1179-1411

Zugangs-URL: https://doaj.org/article/cd604138211242819ddaf9f0071c8d74

deepBreaks identifies and prioritizes genotype–phenotype associations using machine learning

Autoren: Mahdi Baghbanzadeh Tyson Dawson Bahar Sayoldin et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-13 (2025)

Schlagwörter: Phenotype-genotype association, Machine learning algorithm, Sequence analysis, SNP prioritization, Medicine, Science

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/ef9fd0409eaf44f9b9b70de91cb7c849

Development of a diagnostic model for ovarian cancer based on machine learning algorithms and functional analysis of key biomarker SOX17

Autoren: Xueyan Geng Maopeng Yin Hongxi Zhao et al.

Quelle: Journal of Ovarian Research, Vol 18, Iss 1, Pp 1-13 (2025)

Schlagwörter: Ovarian cancer, Diagnostic model, Machine learning algorithm, Immune cell infiltration, SOX17, Gynecology and obstetrics, RG1-991

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1757-2215

Zugangs-URL: https://doaj.org/article/8ea98b961ee4485287af14d7cfd7292e

Development of machine learning models for survival prediction in nasopharyngeal carcinoma using population-based data

Autoren: Guoxiang Lin Qiyan Mo Lu Han et al.

Quelle: Discover Oncology, Vol 16, Iss 1, Pp 1-20 (2025)

Schlagwörter: Nasopharyngeal carcinoma, Machine learning algorithm, Survival prediction, Survival probability calculator, Cancer-specific survival, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2730-6011

Zugangs-URL: https://doaj.org/article/aaf2365b8fc0411582ea53cc3829b974

UAV Remote Sensing Inversion of Pond Water Depth Based on Color-Space Conversion

Autoren: Ma Luodan Jia Yiwen Li Xin et al.

Quelle: Redai dili, Vol 45, Iss 11, Pp 2107-2120 (2025)

Schlagwörter: uav data, water-depth inversion, machine learning algorithm, color-space conversion, pond, Geography (General), G1-922

Dateibeschreibung: electronic resource

Relation: https://www.rddl.com.cn/CN/10.13284/j.cnki.rddl.20250410; https://doaj.org/toc/1001-5221

Zugangs-URL: https://doaj.org/article/090193d64eda4f428896b933aec69b8d