Suchergebnisse - automatic programming general terms algorithms keywords development*

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

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.

Optimising the selection of welfare indicators in farm animals.

Autoren: Day, Jon Ben Haddou, Mohamed Kylling, Rita et al.

Quelle: Frontiers in Veterinary Science. 2025, p1-19. 19p.

Interactive motion graphics development: User experience design themed on the 24 solar terms integrating biological rhythms.

Autoren: Xia, Yueman

Quelle: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 3, p1-21, 21p

Schlagwörter: BIOLOGICAL rhythms, BIOMECHANICS, DIGITAL media, DEEP learning, BIONICS, CULTURAL identity, USER experience, CIRCADIAN rhythms

Development of Open-Source Tools for Event-Based Hydrological Modelling Using GIS and Python.

Autoren: Almeida-Ñauñay, Andrés F. Sanz, Ernesto Berlanga, Antonio et al.

Quelle: Water (20734441); Jul2025, Vol. 17 Issue 14, p2160, 24p

Schlagwörter: HYDROLOGIC models, GEOGRAPHIC information systems, OPEN source software, WATERSHEDS, GEOSPATIAL data, PYTHON programming language, WATER management, DISCRETE event simulation

Geografische Kategorien: EBRO River (Spain)

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

An Analysis of the Movement Trajectories of the Endangered Acipenser gueldenstaedtii in Ammonia-Supplemented Environments Using Image Processing Methods.

Autoren: Balci, Beytullah Ahmet Tonguç, Güray Arslan, Muhammed Nurullah et al.

Quelle: Animals (2076-2615); Apr2025, Vol. 15 Issue 7, p900, 14p

Schlagwörter: WATER quality management, FISH farming, VISUAL programming languages (Computer science), OPTICAL flow, IMAGE processing

An Analysis of the Computational Complexity and Efficiency of Various Algorithms for Solving a Nonlinear Model of Radon Volumetric Activity with a Fractional Derivative of a Variable Order.

Autoren: Tverdyi, Dmitrii

Quelle: Computation; Nov2025, Vol. 13 Issue 11, p252, 29p

Schlagwörter: COMPUTATIONAL complexity, PARALLEL algorithms, FRACTIONAL calculus, CAUCHY problem, MATHEMATICAL optimization, NONLINEAR regression

Parenting Style and Social Media: Impact on Children's Dietary Patterns.

Autoren: Dessì, Angelica Petza, Silvia Di Carlo, Alice et al.

Quelle: Nutrients. Oct2025, Vol. 17 Issue 20, p3254. 25p.

Automatic Text Classification With Large Language Models: A Review of openai for Zero- and Few-Shot Classification.

Autoren: Anglin, Kylie L. Ventura, Claudia

Quelle: Journal of Educational & Behavioral Statistics; Dec2025, Vol. 50 Issue 6, p1060-1082, 23p

Schlagwörter: LANGUAGE models, MACHINE learning, NATURAL language processing, CLASSIFICATION, EDUCATION research, AUTOMATIC classification

Comparative evaluation of 3D visualization systems for automated assessment of cattle exterior traits: Insights from Kinect 2.0, OAK-D, and manual measurements.

Autoren: Bissembayev, Anuarbek Utepov, Arman Tleulenov, Zhumadiya et al.

Quelle: Journal of Animal Behavior & Biometeorology. Jul2025, Vol. 13 Issue 3, p1-13. 13p.

Schlagworte: Stereoscopic cameras, Dairy cattle, Three-dimensional imaging, Computer vision, Precision farming

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

A Hybrid Convolutional Neural Network–Long Short-Term Memory (CNN–LSTM)–Attention Model Architecture for Precise Medical Image Analysis and Disease Diagnosis.

Autoren: Hayat, Md. Tanvir Allawi, Yazan M. Alamro, Wasan et al.

Quelle: Diagnostics (2075-4418); Nov2025, Vol. 17 Issue 21, p2673, 32p

Schlagwörter: CONVOLUTIONAL neural networks, LONG short-term memory, DIAGNOSIS, COMPUTER-assisted image analysis (Medicine), FEATURE selection, DEEP learning, CLASSIFICATION

Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.

Autoren: Akbarein, Hesameddin Taaghi, Mohammad Hussein Mohebbi, Mahyar et al.

Quelle: Veterinary Medicine & Science. May2025, Vol. 11 Issue 3, p1-29. 29p.

Schlagworte: Machine learning, Artificial intelligence, Veterinary medicine, Resource allocation, Medical research

Automated Assessment of Word- and Sentence-Level Speech Intelligibility in Developmental Motor Speech Disorders: A Cross-Linguistic Investigation.

Autoren: Carl, Micalle Icht, Michal

Quelle: Diagnostics (2075-4418); Aug2025, Vol. 15 Issue 15, p1892, 15p

Schlagwörter: INTELLIGIBILITY of speech, AUTOMATIC speech recognition, ARTIFICIAL intelligence, MULTILINGUAL education, DOWN syndrome, HEBREW language, SPEECH disorders

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

Evolution, Development and Learning Using Self-Modifying Cartesian Genetic Programming

Autoren: Simon Harding Julian F. Miller Wolfgang Banzhaf et al.

Weitere Verfasser: Simon Harding Julian F. Miller Wolfgang Banzhaf et al.

Quelle: http://www.cartesiangp.co.uk/papers/gecco2009-harding.pdf.

Schlagwörter: I.2 [Artificial Intelligence, Learning, I.2 [Artificial In- telligence, Automatic Programming General Terms Algorithms Keywords Developmental

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.569.5018

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.569.5018
http://www.cartesiangp.co.uk/papers/gecco2009-harding.pdf

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

Research on the path of sustainable development of fiber art from the perspective of biomechanics.

Autoren: Li, Zhen

Quelle: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 5, p1-15, 15p

Schlagwörter: SUSTAINABLE development, BIOMECHANICS, SUSTAINABILITY, MECHANICAL behavior of materials, MATHEMATICAL optimization, TEXTILE arts, ENVIRONMENTAL quality

A health index for surface water resources during drought: an automated fuzzy-based performance criteria approach.

Autoren: Dorafshan, Mohammad Mahdi Golmohammadi, Mohammad Hossein De Michele, Carlo

Quelle: Applied Water Science; Aug2025, Vol. 15 Issue 8, p1-24, 24p

Schlagwörter: DROUGHTS, FUZZY algorithms, DAMS, ENVIRONMENTAL health, AUTOMATIC control systems, ECOLOGICAL resilience, WATER supply

Geografische Kategorien: IRAN, ISFAHAN (Iran)