Suchergebnisse - ((automatic OR automation) OR automatizacna) 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

Hybrid Optimization Approaches for Impeller Design in Turbomachinery: Methods, Metrics, and Design Strategies.

Autoren: Remache, Abel Pérez-Sánchez, Modesto Hidalgo, Víctor Hugo et al.

Quelle: Water (20734441); Jul2025, Vol. 17 Issue 13, p1976, 35p

Schlagwörter: COMPUTATIONAL fluid dynamics, FINITE element method, RESPONSE surfaces (Statistics), MATHEMATICAL programming, CENTRIFUGAL pumps, MACHINE learning, TURBOMACHINES, EVOLUTIONARY algorithms

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.

Language and Automata Theory and Applications : 12th International Conference, LATA 2018, Ramat Gan, Israel, April 9-11, 2018, Proceedings

Autoren: Shmuel Tomi Klein Carlos Martín-Vide Dana Shapira

Resource Type: eBook.

Schlagworte: Computer science, Machine theory, Algorithms, Computer programming, Artificial intelligence, Computer science—Mathematics, Mathematical statistics

Categories: COMPUTERS / Computer Science, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Programming / General, COMPUTERS / Programming / Algorithms, MATHEMATICS / Probability & Statistics / General

Automated Calibration of SWMM for Improved Stormwater Model Development and Application.

Autoren: Ahmadi, Hossein Scott, Durelle Sample, David J. et al.

Quelle: Hydrology (2306-5338); Jun2025, Vol. 12 Issue 6, p129-N.PAG, 26p

Schlagwörter: MULTI-objective optimization, STANDARD deviations, URBAN watersheds, OPTIMIZATION algorithms, URBAN runoff

Operator overloading as an enabling technology for automatic differentiation

Weitere Verfasser: Griewank, A [Argonne National Lab., IL (United States)]

Quelle: Conference: Object-oriented numerics conference,Sunriver, OR (United States),25-27 Apr 1993; Other Information: PBD: [1993]

Dateibeschreibung: Medium: ED; Size: 12 p.

Zugangs-URL: http://www.osti.gov/scitech/servlets/purl/10152577

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

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 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

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

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

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

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

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

The Use of Artificial Intelligence (AI) to Support Dietetic Practice Across Primary Care: A Scoping Review of the Literature.

Autoren: Ngo, Kaitlyn Mekhail, Simone Chan, Virginia et al.

Quelle: Nutrients. Nov2025, Vol. 17 Issue 22, p3515. 45p.

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.

Body Weight Estimation in Holstein × Zebu Crossbred Heifers: Comparative Analysis of XGBoost and LightGBM Algorithms.

Autoren: Herrera‐Camacho, Jose Tırınk, Cem Parra‐Cortés, Rosa Inés et al.

Quelle: Veterinary Medicine & Science. Jul2025, Vol. 11 Issue 4, p1-10. 10p.

Schlagworte: Machine learning, Milk yield, Body weight, Heifers, Rural geography

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