Suchergebnisse - ((automatic OR automation) OR automatically) programming general terms algorithms

ReviewGenie: a novel automated system for systematic reviews—an exploratory study in speech and language disorders.

Autoren: Al-Marridi, Abeer Z. Bensaid, Ahmed Ulde, Samawiyah M. et al.

Quelle: Systematic Reviews; 8/18/2025, Vol. 14 Issue 1, p1-12, 12p

Schlagwörter: ARTIFICIAL intelligence, AUTOMATION, INFORMATION retrieval, ECONOMIC efficiency, DATA scrubbing, SPEECH disorders

Could ChatGPT Automate Water Network Clustering? A Performance Assessment Across Algorithms.

Autoren: Palma, Ludovica Creaco, Enrico Iervolino, Michele et al.

Quelle: Water (20734441); Oct2025, Vol. 17 Issue 20, p2995, 13p

Schlagwörter: CHATGPT, CLUSTERING algorithms, ARTIFICIAL intelligence, AUTOMATION, HYDRAULIC models, OPERATIONS research, ENVIRONMENTAL infrastructure, DECISION making

Automatic viewpoint selection for polygonal objects through projected mesh analysis.

Autoren: López Hernández, Fernando Carlos Sánchez Monzón, Jenaro Rainer Granados, Javier

Quelle: Journal of Visualization; Dec2025, Vol. 28 Issue 6, p1143-1167, 25p

A Flexible and General-Purpose Platform for Heterogeneous Computing.

Autoren: Garcia-Hernandez, Jose Juan Morales-Sandoval, Miguel Elizondo-Rodríguez, Erick

Quelle: Computation; May2023, Vol. 11 Issue 5, p97, 15p

Schlagwörter: DEEP learning, COMPUTING platforms, HETEROGENEOUS computing, BIG data, DATA science

PainSeeker: a head pose-invariant deep learning method for assessing rat's pain by facial expressions.

Autoren: Liu, Liu Li, Guang Deng, Dingfan et al.

Quelle: Frontiers in Veterinary Science. 2025, p1-13. 13p.

Application of Artificial Intelligence Technologies in Livestock Management.

Alternate Title: Hayvancılıkta Yapay Zekâ Teknolojilerinin Uygulanması.

Autoren: DİLAVER, Hatice DİLAVER, Kamil Fatih

Quelle: Journal of Animal Science & Economics. Jul2025, Vol. 4 Issue 2, p64-74. 11p.

Schlagworte: Natural language processing, Artificial neural networks, Supervised learning, Artificial intelligence, Agriculture

Deep learning-based modeling and solution method for nonlinear optimization problems in biomechanics.

Autoren: Bian, Mengke

Quelle: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 5, p1-14, 14p

Schlagwörter: DEEP learning, BIOMECHANICS, MULTIVARIATE analysis, ARTIFICIAL neural networks, ORTHOPEDIC implants, RANGE of motion of joints, NONLINEAR programming

From Integer Programming to Machine Learning: A Technical Review on Solving University Timetabling Problems.

Autoren: Gu, Xin Krish, Muralee Sohail, Shaleeza et al.

Quelle: Computation; Jan2025, Vol. 13 Issue 1, p10, 27p

Schlagwörter: CONSTRAINT programming, UNIVERSITIES & colleges, BLENDED learning, HIGHER education, DEEP diving

A Bibliometric-Systematic Literature Review (B-SLR) of Machine Learning-Based Water Quality Prediction: Trends, Gaps, and Future Directions.

Autoren: Muñoz-Alegría, Jeimmy Adriana Núñez, Jorge Oyarzún, Ricardo et al.

Quelle: Water (20734441); Oct2025, Vol. 17 Issue 20, p2994, 36p

Schlagwörter: MACHINE learning, GROUNDWATER quality, BIBLIOMETRICS, ENSEMBLE learning, CONTENT analysis, DEEP learning, TREND analysis

A New Pes Planus Automatic Diagnosis Method: ViT-OELM Hybrid Modeling.

Autoren: Avcı, Derya

Quelle: Diagnostics (2075-4418); Apr2025, Vol. 15 Issue 7, p867, 19p

Schlagwörter: EXTREME learning machines, FLATFOOT, TRANSFORMER models, CONVOLUTIONAL neural networks, DEEP learning

An Automatic Ear Temperature Monitoring Method for Group-Housed Pigs Adopting Infrared Thermography.

Autoren: Zhang, Changzhen Wu, Xiaoping Xiao, Deqin et al.

Quelle: Animals (2076-2615); Aug2025, Vol. 15 Issue 15, p2279, 17p

Schlagwörter: COMPUTER vision, THERMOGRAPHY, BODY temperature, PATIENT monitoring, AUTOMATIC tracking, ANIMAL welfare, FARM management, SWINE

What’s It Like to Trust an LLM: The Devolution of Trust Psychology?

Autoren: Powers, Simon T. Urquhart, Neil Barnes, Chloe M. et al.

Quelle: IEEE Technology & Society Magazine; Sep2025, Vol. 44 Issue 3, p30-37, 8p

Schlagwörter: TRUST, GENERATIVE artificial intelligence, LANGUAGE models, SOCIAL impact

Massively Parallel Lagrangian Relaxation Algorithm for Solving Large-Scale Spatial Optimization Problems Using GPGPU.

Autoren: Lei, Ting L. Wang, Rongrong Lei, Zhen

Quelle: ISPRS International Journal of Geo-Information. Nov2025, Vol. 14 Issue 11, p419. 22p.

Schlagwörter: *DEEP learning, *OPTIMIZATION algorithms, *RESOURCE allocation, *GRAPHICS processing units, *RELAXATION methods (Mathematics), *LOCATION problems (Programming), *GEOSPATIAL data

Scientific Machine Learning of Flow Resistance Using Universal Shallow Water Equations With Differentiable Programming.

Autoren: Liu, Xiaofeng Song, Yalan

Quelle: Water Resources Research; Sep2025, Vol. 61 Issue 9, p1-20, 20p

Schlagwörter: SHALLOW-water equations, HYDRODYNAMICS, FLOW coefficient, FRICTIONAL resistance (Hydrodynamics), ARTIFICIAL neural networks, DATA assimilation, AUTOMATIC differentiation

Automatic- and Transformer-Based Automatic Item Generation: A Critical Review.

Autoren: Sommer, Markus Arendasy, Martin

Quelle: Journal of Intelligence; Aug2025, Vol. 13 Issue 8, p102, 42p

Schlagwörter: PSYCHOMETRICS, TEST validity, TRANSFORMER models, CALIBRATION, CRITICAL analysis, UNIVERSITY research

A Unified Framework for Automatic Distributed Active Learning.

Autoren: Chen, Xu Wujek, Brett

Quelle: IEEE Transactions on Pattern Analysis & Machine Intelligence; Dec2022, Vol. 44 Issue Part3, p9774-9786, 13p

Schlagwörter: ACTIVE learning, LINEAR programming, FRAUD investigation, INTEGER programming, SCALABILITY, GENETIC algorithms, SUPERVISED learning

Natural language processing in veterinary pathology: A review.

Autoren: Stimmer, Lev Kuiper, Raoul V. Polledo, Laura et al.

Quelle: Veterinary Pathology. Nov2025, Vol. 62 Issue 6, p829-848. 20p.

An Interactive Platform for Design Hydrograph Estimation in Small and Ungauged Basins: Pilot Implementation in the Lazio Region, Italy.

Autoren: Grimaldi, Salvatore Petroselli, Andrea Cappelli, Francesco et al.

Quelle: Water (20734441); Nov2025, Vol. 17 Issue 21, p3122, 15p

Schlagwörter: DIGITAL twin, HYDROLOGIC models, PYTHON programming language, PROGRAMMING languages, WATERSHEDS, RUNOFF

Geografische Kategorien: LAZIO (Italy), ITALY

Improving cervical maturation degree classification accuracy using a multi-stage deep learning approach.

Autoren: Motie, Parisa Ashkan, Ali Mohammad-Rahimi, Hossein et al.

Quelle: Imaging Science in Dentistry; Sep2025, Vol. 55 Issue 3, p290-301, 12p

Schlagwörter: DEEP learning, CLASSIFICATION, CERVICAL vertebrae, MACHINE learning, AUTOMATION software, ORTHOPEDICS, COMPUTER-assisted image analysis (Medicine), OBJECT recognition (Computer vision)

AI-Assisted LVEF Assessment Using a Handheld Ultrasound Device: A Single-Center Comparative Study Against Cardiac Magnetic Resonance Imaging.

Autoren: Bisignani, Giovanni Volpe, Lorenzo Madeo, Andrea et al.

Quelle: Journal of Clinical Medicine; Jul2025, Vol. 14 Issue 13, p4708, 12p

Schlagwörter: CARDIAC magnetic resonance imaging, VENTRICULAR ejection fraction, ARTIFICIAL intelligence, ECHOCARDIOGRAPHY, STATISTICAL accuracy, POCKET computers, MEDICAL research