Výsledky vyhľadávania - software/program verification—(statistik OR statistics) methods general terms algorithms*

Early-stage lumbar paraspinal muscle injury: endoscopic versus transforaminal lumbar interbody fusion: a retrospective comparative analysis.

Autori: Xuan, Wenbin Cheng, Qinghua Gao, Yucheng a ďalší

Zdroj: Journal of Orthopaedic Surgery & Research; 9/26/2025, Vol. 20 Issue 1, p1-15, 15p

Predmety: RESEARCH funding, SURGERY, PATIENTS, ACADEMIC medical centers, BODY mass index, SPONDYLOLISTHESIS, T-test (Statistics), VISUAL analog scale, FISHER exact test, MULTIPLE regression analysis, BACK muscles, MINIMALLY invasive procedures, ENDOSCOPIC surgery, SPINAL stenosis, TREATMENT effectiveness, RETROSPECTIVE studies, DESCRIPTIVE statistics, MAGNETIC resonance imaging, MANN Whitney U Test, SURGICAL complications, LONGITUDINAL method, LUMBAR vertebrae, SPINAL fusion, MEDICAL records, ACQUISITION of data, INTRACLASS correlation, COMPARATIVE studies, DATA analysis software, ENDOSCOPY, BIOMARKERS, INTER-observer reliability

The Mediating Role of Student-Related Factors in the Effect of Student-Teacher Practices and Parent Related Factors on Problem Solving Performance.

Autori: Campos-Caraig, Jarah Jayne Icalla

Zdroj: Psychology & Education: A Multidisciplinary Journal; 2025, Vol. 47 Issue 8, p1005-1028, 24p

Predmety: MATHEMATICS, PROBLEM solving, PARENTAL influences, TEACHING methods, COGNITION, STUDENT engagement, LEARNING strategies, MEDIATION (Statistics)

Monsoonal impacts on water quality in the Baitarani River, Odisha: a comprehensive evaluation using water quality indices, multivariate statistics, and machine learning models for sustainable pollution control.

Autori: Das, Abhijeet

Zdroj: Green Technology, Resilience & Sustainability; 12/12/2025, Vol. 5 Issue 1, p1-50, 50p

MetaGAN: Metamorphic GAN-Based Augmentation for Improving Deep Learning-Based Multiple-Fault Localization Without Test Oracles.

Autori: Hu, Anlin Feng, Wenjiang Zhu, Xudong a ďalší

Zdroj: Electronics (2079-9292); Jul2025, Vol. 14 Issue 13, p2596, 26p

Predmety: DEEP learning, DATA augmentation, DEFECT tracking (Computer software development), GENERATIVE adversarial networks, SAMPLE size (Statistics), COMPUTER software testing

Overview of Existing Multi-Criteria Decision-Making (MCDM) Methods Used in Industrial Environments.

Autori: Avramova, Tanya Peneva, Teodora Ivanov, Aleksandar

Zdroj: Technologies (2227-7080); Oct2025, Vol. 13 Issue 10, p444, 36p

Predmety: MULTIPLE criteria decision making, ANALYTIC hierarchy process, DECISION support systems, TOPSIS method, MANUFACTURING processes, EVALUATION methodology

Prediction of Recurrence and Rupture Risk of Ruptured and Unruptured Intracranial Aneurysms of the Posterior Circulation: A Machine Learning-Based Analysis.

Autori: Növer, Martin Styczen, Hanna Jabbarli, Ramazan a ďalší

Zdroj: Diagnostics (2075-4418); Sep2025, Vol. 15 Issue 18, p2365, 15p

Predmety: INTRACRANIAL aneurysms, MACHINE learning, POSTERIOR cranial fossa, RISK assessment, ORGAN rupture, HYPERTENSION, DISEASE progression, DISEASE risk factors

Virtual reality-assisted visualization of flood susceptibility using optimized machine learning models.

Autori: Razavi-Termeh, Seyed Vahid Safari Bazargani, Jalal Sadeghi-Niaraki, Abolghasem a ďalší

Zdroj: Applied Water Science; Oct2025, Vol. 15 Issue 10, p1-21, 21p

Predmety: VIRTUAL reality, MACHINE learning, OPTIMIZATION algorithms, FLOOD risk, ENVIRONMENTAL mapping, GEOGRAPHICAL positions, RANDOM forest algorithms

Geografický termín: FARS (Iran)

Enhancing software defect prediction with a hybrid convolutional neural network and antlion optimization model.

Autori: Mahmoud, Alia Nabil Santos, Vitor Freire, Mario M. a ďalší

Zdroj: Cluster Computing; Oct2025, Vol. 28 Issue 6, p1-36, 36p

Machine Learning Estimation of the Unit Weight of Organic Soils.

Autori: Borowiec, Artur Straż, Grzegorz Sulewska, Maria Jolanta

Zdroj: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 16, p9079, 17p

Predmety: MACHINE learning, REGRESSION analysis, HISTOSOLS, SOIL density, CONE penetration tests, GEOTECHNICAL engineering, STATISTICS

Reviews & Products: MATLAB (Computer software)

Detection of colon cancer using k-means and deep learning algorithms on histopathological images.

Alternate Title: Histopatolojik görüntüler üzerinde k-ortalamalar ve derin öğrenme algoritmaları kullanılarak kolon kanseri tespiti. (Turkish)

Autori: Yurtsever, Ulaş Evirgen, Hayrettin Avunduk, Mustafa Cihat

Zdroj: Pamukkale University Journal of Engineering Sciences; 2025, Vol. 31 Issue 5, p821-832, 12p

Predmety: COLON cancer, DEEP learning, CONVOLUTIONAL neural networks, IMAGE segmentation, HISTOPATHOLOGY, ARTIFICIAL neural networks, K-means clustering

Guidelines for resident training in veterinary clinical pathology. IV: Laboratory quality management--Teaching domains, competencies, and suggested learning outcomes.

Autori: Flatland, Bente Dehghanpir, Shannon D. Evans, Samantha J. M. a ďalší

Zdroj: Veterinary Clinical Pathology. 2024 Special issue, p7-23. 17p.

A new truncated unit exponentiated Ailamujia distribution with ranked-based inference and engineering applications.

Autori: Jabarah, Hana S. Tolba, Ahlam H. Ramadan, Ahmed T. a ďalší

Zdroj: AIMS Mathematics; 2025, Vol. 10 Issue 9, p1-39, 39p

Predmety: PARAMETER estimation, DISTRIBUTION (Probability theory), STATISTICAL models, FAILURE time data analysis, MONTE Carlo method, INDUSTRIAL applications, STATISTICAL reliability

Knowledge Mapping of Pipeline Accidents: A Bibliometric Analysis.

Autori: Jia, Dongyue Zhang, Pengfei Li, Jiayi a ďalší

Zdroj: Journal of Pipeline Systems Engineering & Practice; Aug2025, Vol. 16 Issue 3, p1-14, 14p

Predmety: BIBLIOMETRICS, BIBLIOGRAPHICAL citations, SCIENCE databases, WEB databases, FAILURE analysis

Machine learning for improved medical device management: A focus on defibrillator performance.

Autori: Spahić, Lemana Jeremić, Luka Lalatović, Ivana a ďalší

Zdroj: Technology & Health Care; Mar2025, Vol. 33 Issue 2, p737-743, 7p

Predmety: BIOMEDICAL engineering, MACHINE learning, BOOSTING algorithms, ARTIFICIAL intelligence, MEDICAL equipment

A Survey on Exploring Real and Virtual Social Network Rumors: State-of-the-Art and Research Challenges.

Autori: He, Qiang Zhang, Songyangjun Cai, Yuliang a ďalší

Zdroj: ACM Computing Surveys; Jul2025, Vol. 57 Issue 7, p1-37, 37p

Predmety: ARTIFICIAL intelligence, DETECTION algorithms, BIOENGINEERING, VIRTUAL networks, SOCIAL networks, DEEP learning

Design and Development of Interactive Software Models for Teaching Coding Theory: A Case Study on Hamming Codes—General Algorithm.

Autori: Aliev, Yuksel Ivanova, Galina Borodzhieva, Adriana

Zdroj: Applied Sciences (2076-3417); Apr2025, Vol. 15 Issue 8, p4231, 34p

Predmety: CODING theory, HAMMING codes, SOFTWARE development tools, STUDENT engagement, ACHIEVEMENT gains (Education)

Data-driven structural damage monitoring and assessment based on unmanned aerial vehicle images: a survey.

Autori: Yang, Zhuoyue Xu, Yuxin Song, Hao a ďalší

Zdroj: International Journal of Digital Earth; Dec2025, Vol. 18 Issue 1, p1-18, 18p

Predmety: STRUCTURAL health monitoring, REMOTE sensing, DRONE aircraft, IMAGE analysis, ACQUISITION of data, EMERGENCY management, MAP design

Artificial Intelligence in Software Testing: A Systematic Review of a Decade of Evolution and Taxonomy.

Autori: Escalante-Viteri, Alex Mauricio, David

Zdroj: Algorithms; Nov2025, Vol. 18 Issue 11, p717, 64p

Predmety: ARTIFICIAL intelligence, COMPUTER software testing, AUTOMATION software, TAXONOMY, MATHEMATICAL variables, FORECASTING

Performance of Remote Sensing in Scheduling Irrigation: A Review.

Autori: Saad, Ahmed M. Soussa, Hoda R. E., Abdelraouf a ďalší

Zdroj: Egyptian Journal of Agronomy; 2025, Vol. 47 Issue 3, p629-644, 16p

Predmety: REMOTE sensing, EVAPOTRANSPIRATION, IRRIGATION management, SOIL moisture, SUSTAINABLE agriculture, AGRICULTURAL technology, ARID regions, WATER management

A Quantifiable Comprehensive Evaluation Method Combining Optical Motion Capture and Simulation—Assessing the Layout Design of Special Vehicle Cabins.

Autori: Gu, Sen Zhang, Tianyi Wang, Hanyu a ďalší

Zdroj: Sensors (14248220); Aug2025, Vol. 25 Issue 16, p5053, 32p

Predmety: ERGONOMICS, MOTION capture (Human mechanics), QUANTITATIVE research, AUTOMOBILE interiors, HUMAN comfort, SIMULATION methods & models, HUMAN-machine systems