Výsledky vyhľadávania - "Python Programming Language Version 3.10"

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

Current Perspectives and Practices of Pet Owners in Türkiye on Animal Care, Nutrition, and Welfare.

Autori: Çelik, Salih Muruz, Habip Çelik, Seda a ďalší

Zdroj: Veterinary Sciences. Sep2025, Vol. 12 Issue 9, p904. 14p.

Analyzing Key Factors for Warehouse UAV Integration Through Complex Network Modeling.

Autori: Malang, Chommaphat Wudhikarn, Ratapol

Zdroj: Logistics (2305-6290); Feb2026, Vol. 10 Issue 2, p28, 21p

Predmety: WAREHOUSE management, SOCIAL network analysis, RELIABILITY in engineering, DRONE aircraft, WAREHOUSE automation

Mapping Soil Erodibility Using Machine Learning and Remote Sensing Data Fusion in the Northern Adana Region, Türkiye.

Autori: Işik, Melek Işik, Mehmet Acar, Mert a ďalší

Zdroj: Agronomy; Feb2026, Vol. 16 Issue 3, p294, 21p

Predmety: SOIL erosion prediction, MACHINE learning, GEOGRAPHIC information systems, SOIL erosion, REMOTE sensing, SOILS, BOOSTING algorithms, SOIL conservation

Geografický termín: TURKEY

Computed tomography of interstitial lung disease in systemic sclerosis: dataset and deep learning model for pulmonary lesion segmentation.

Autori: Vahdani, Amir M. Mohamadi, Aida Nayebirad, Sepehr a ďalší

Zdroj: Reumatismo; 2026, Vol. 78 Issue 1, p1-8, 8p

An Empirical Framework for Evaluating and Selecting Cryptocurrency Funds Using DEMATEL-ANP-VIKOR.

Autori: Shabani, Mostafa Tavakoli, Sina Ghanbari, Hossein a ďalší

Zdroj: Journal of Risk & Financial Management; Jan2026, Vol. 19 Issue 1, p29, 31p

Predmety: CRYPTOCURRENCIES, MULTIPLE criteria decision making, RISK-return relationships, ANALYTIC network process, INVESTMENT policy, FINANCIAL performance

Hybrid LSTM–DNN Architecture with Low-Discrepancy Hypercube Sampling for Adaptive Forecasting and Data Reliability Control in Metallurgical Information-Control Systems.

Autori: Sevinov, Jasur Temerbekova, Barnokhon Bekimbetova, Gulnora a ďalší

Zdroj: Processes; Jan2026, Vol. 14 Issue 1, p147, 29p

Predmety: FORECASTING, INTELLIGENT control systems, INDUSTRIAL controls manufacturing, OPTIMIZATION algorithms, OUTLIER detection, NEURAL computers, ROBUST control, DATA integrity

ASFNOformer—A Superior Frequency Domain Token Mixer in Spiking Transformer.

Autori: Gao, Shouwei Hong, Zichao Gu, Yangqi a ďalší

Zdroj: Electronics (2079-9292); Dec2025, Vol. 14 Issue 24, p4860, 19p

Predmety: FREQUENCY-domain analysis, NEUROMORPHICS, EVENT processing (Computer science), TRANSFORMER models, NEURAL computers, ARTIFICIAL neural networks

Development of Prediction Models for Apple Fruit Diameter and Length Using Unmanned Aerial Vehicle-Based Multispectral Imagery.

Autori: An, Do Hyun Kang, Ye Seong Park, Chang Hyeok a ďalší

Zdroj: AgriEngineering; Nov2025, Vol. 7 Issue 11, p361, 16p

Predmety: MULTISPECTRAL imaging, MACHINE learning, REMOTE sensing, AGRICULTURAL drones, ORCHARD management, FRUIT

Geografický termín: SOUTH Korea

Comparison of Preoperative Magnetic Resonance Imaging and Intraoperative Frozen Section Analysis with Final Pathological Outcomes in the Assessment of Myometrial Invasion in Endometrial Cancer Cases.

Autori: Metin Çakır, Tuba Güner, Fatma Ceren Iltar, Elif a ďalší

Zdroj: Diagnostics (2075-4418); Nov2025, Vol. 15 Issue 21, p2799, 13p

Predmety: ENDOMETRIAL cancer, MAGNETIC resonance imaging, OPERATIVE surgery, TUMOR classification, STATISTICAL accuracy, SENSITIVITY & specificity (Statistics), SURGICAL pathology, FROZEN tissue sections

Comparison of the accuracy of intraoral scanners, intraoral cameras, radiographs, and histological methods for the diagnosis of dental caries: a systematic review and meta-analysis.

Autori: Rashid, Farah Farook, Taseef Hasan Dudley, James

Zdroj: BDJ Open; 10/13/2025, Vol. 11 Issue 1, p1-35, 35p

Predicting higher education tuition fees using machine learning methods.

Autori: ÇELİK, Serdar GENCER, Cevriye

Zdroj: Communications Series A1 Mathematics & Statistics; 2025, Vol. 74 Issue 4, p608-620, 13p

Predmety: TUITION, MACHINE learning, HIGHER education, FINANCIAL stress, FORECASTING methodology, ENSEMBLE learning, DATA scrubbing, FORECASTING

A Descriptive Analysis of Suicide-Related Deaths in Türkiye (2018–2023).

Autori: Kaya, Burak Bulutluöz, Emre Gürkan

Zdroj: Psychiatry & Behavioral Sciences; 2025, Vol. 15 Issue 4, p180-188, 9p

Predmety: SUICIDE, SUICIDE prevention, TREND analysis, TURKISH history, SOCIOCULTURAL factors, GENDER differences (Sociology), STATISTICS, POPULATION dynamics

Geografický termín: TURKEY

Korporácia: TUERKIYE Istatistik Kurumu

A machine learning framework for QSPR modeling of drug-like compounds using graph invariants.

Autori: Alzahrani, Ebraheem Hanif, Muhammad Farhan

Zdroj: AIMS Mathematics; 2025, Vol. 10 Issue 10, p1-40, 40p

Predmety: DRUG discovery, MOLECULAR structure, MACHINE learning, COMPUTER simulation, CHEMICAL structure, PREDICTIVE validity, BIOACTIVE compounds, CHEMICAL properties

Development and evaluation of a lightweight large language model chatbot for medication enquiry.

Autori: Elangovan, Kabilan Ong, Jasmine Chiat Ling Jin, Liyuan a ďalší

Zdroj: PLoS Digital Health; 9/4/2025, Vol. 4 Issue 9, p1-17, 17p

Nutritional Value and Aerobic Stability of Safflower (Carthamus tinctorius L.) Silages Supplemented with Additives.

Autori: Garay-Martínez, Jonathan Raúl Lucio-Ruíz, Fernando Godina-Rodríguez, Juan Eduardo a ďalší

Zdroj: Agronomy; Sep2025, Vol. 15 Issue 9, p2071, 14p

Predmety: NUTRITIONAL value, ADDITIVES, DIETARY proteins, DIGESTION, AEROBIC conditions (Biochemistry), FEED quality, SAFFLOWER, FERMENTATION

Determination of the In-Plane Behavior of Masonry Walls Using the Truss Model.

Autori: Güner, Yunus Nuhoglu, Ayhan

Zdroj: International Journal of Architectural Heritage: Conservation, Analysis & Restoration; 2025, Vol. 19 Issue 9, p1647-1661, 15p

Predmety: MASONRY, NUMERICAL analysis, MECHANICAL failures, NONLINEAR analysis, STRUCTURAL models, PYTHON programming language, STRUCTURAL failures

XABH-CNN-GRU: Explainable attention-based hybrid CNN-GRU model for accurate identification of common arrhythmias.

Autori: Mahel, Abduljabbar S. Ba Alotaibi, Fahad Mushabbab G. Lonseko, Zenebe Markos a ďalší

Zdroj: Journal of Electronic Science & Technology; Sep2025, Vol. 23 Issue 3, p1-15, 15p

Hydro-Meteorological Landslide Inventory for Sustainable Urban Management in a Coastal Region of Brazil.

Autori: Hader, Paulo Rodolpho Pereira Horta, Isabela Taici Lopes Gonçalves da Silva do Valle, Victor Arroyo a ďalší

Zdroj: Sustainability (2071-1050); Aug2025, Vol. 17 Issue 16, p7487, 29p

Explainable AI Methods for Identification of Glue Volume Deficiencies in Printed Circuit Boards.

Autori: Tziolas, Theodoros Papageorgiou, Konstantinos Theodosiou, Theodosios a ďalší

Zdroj: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 16, p9061, 22p

Predmety: AUTOMATIC optical inspection, CONVOLUTIONAL neural networks, QUALITY control, PRINTED circuits industry, QUALITY assurance, ARTIFICIAL intelligence