Suchergebnisse - (automation OR automatizace) machine learning algorithm based on (genetic OR genetics) algorithms

Machine learning testing in an ADAS case study using simulation-integrated bio-inspired search-based testing

Autoren: Helali Moghadam, Mahshid Borg, Markus Saadatmand, Mehrdad et al.

Quelle: Journal of Software.

Schlagwörter: advanced driver assistance systems, deep learning, evolutionary computation, lane-keeping system, machine learning testing, search-based testing, Automobile drivers, Biomimetics, Budget control, Deep neural networks, Embedded systems, Genetic algorithms, Learning systems, Particle swarm optimization (PSO), Software testing, Case-studies, Lane keeping, Machine-learning, Software Evolution, Software process, Test scenario

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-63851
https://doi.org/10.1002/smr.2591

Simulation of recrystallization grain growth in AZ61 magnesium alloy based on GA and 3D CA.

Autoren: Chen, Yingjie Li, Quanan Chen, Xiaoya et al.

Quelle: Materials Letters. Dec2024, Vol. 377, pN.PAG-N.PAG. 1p.

Schlagwörter: *GENETIC algorithms, *MACHINE learning, *ALLOYS, *CELLULAR automata, *RECRYSTALLIZATION (Metallurgy)

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

A Novel General Feature Enhancement Method Based on Genetic Programming for Improving RF Circuit Fault Diagnosis Using Machine Learning.

Autoren: Wu, Kunping Long, Bing Bu, Zhiyuan et al.

Quelle: Circuits, Systems & Signal Processing. Dec2025, Vol. 44 Issue 12, p8877-8900. 24p.

Schlagwörter: *FAULT diagnosis, *GENETIC programming, *TIME-frequency analysis, *SUPPORT vector machines, *MACHINE learning, *APPLIED sciences, *MICROWAVE circuits, *NAIVE Bayes classification

2D Prediction of the Nutritional Composition of Dishes from Food Images: Deep Learning Algorithm Selection and Data Curation Beyond the Nutrition5k Project.

Autoren: Bianco, Rachele Coluccia, Sergio Marinoni, Michela et al.

Quelle: Nutrients. Jul2025, Vol. 18 Issue 13, p2196. 23p.

Deep-learning-based buffalo identification through muzzle pattern images.

Autoren: Ermetin, Orhan Örnek, Humar Kahramanlı

Quelle: Archives Animal Breeding / Archiv Tierzucht. 2025, Vol. 68 Issue 3, p473-484. 12p.

Schlagworte: Artificial intelligence, Water buffalo, Artificial neural networks, Biometric identification, Livestock, Convolutional neural networks, Deep learning, Identification of animals

Collaborative sorting: integrating pneumatic separation and manipulator techniques for efficient coal gangue sorting.

Autoren: Zhang, Jie Li, Bo Xia, Rui et al.

Quelle: International Journal of Coal Preparation & Utilization; 2025, Vol. 45 Issue 5, p1092-1113, 22p

Schlagwörter: ENERGY consumption, ENVIRONMENTAL protection, COAL, GENETIC algorithms

Detection of Turbulence Anomalies Using a Symbolic Classifier Algorithm in Airborne Quick Access Record (QAR) Data Analysis.

Autoren: Zhuang, Zibo Lin, Kunyun Zhang, Hongying et al.

Quelle: Advances in Atmospheric Sciences. Jul2024, Vol. 41 Issue 7, p1438-1449. 12p.

Schlagwörter: *MACHINE learning, *GENETIC programming, *ALGORITHMS, *DATA analysis, *AERONAUTICAL safety measures

Indoor Scene Splicing Based on Genetic Algorithm and ORB.

Autoren: Tao Zhang Yi Cao

Quelle: Intelligent Automation & Soft Computing; 2022, Vol. 33 Issue 3, p1677-1685, 9p

Schlagwörter: GENETIC algorithms, EUCLIDEAN algorithm, EUCLIDEAN distance, IMAGE registration

A Machine Learning-Assisted Automation System for Optimizing Session Preparation Time in Digital Audio Workstations.

Autoren: Moroșanu, Bogdan Negru, Marian Nicolae, Georgian et al.

Quelle: Information. Jun2025, Vol. 16 Issue 6, p494. 21p.

Schlagwörter: *Digital audio, *Machine learning, *Automation, Sound engineers, Engineering instruments

基于遗传算法优化 Canny 算子的织绣文物纹样抽取方法研究. (Chinese)

Alternate Title: Research on the extraction method of woven and embroidered artifacts' patterns based on genetic algorithm optimization of Canny operator. (English)

Autoren: 张 宇 张 健 齐 林

Quelle: Journal of Silk; 2024, Vol. 61 Issue 6, p1-12, 12p

Predicting Live Weight for Female Rabbits of Meat Crosses From Body Measurements Using LightGBM, XGBoost and Support Vector Machine Algorithms.

Autoren: Önder, Hasan Tirink, Cem Yakubets, Taras et al.

Quelle: Veterinary Medicine & Science. Jan2025, Vol. 11 Issue 1, p1-12. 12p.

Schlagworte: Support vector machines, Standard deviations, Chest (Anatomy), Mathematical models, Animal welfare

An analysis on efficacy of applying β‐elemene intervention on chemically ‐induced tongue lesions using SAM algorithm.

Autoren: Liu, Feng Zhang, Qinlong Zhang, Weijie et al.

Quelle: Anatomia, Histologia, Embryologia: Journal of Veterinary Medicine Series C. Sep2024, Vol. 53 Issue 5, p1-8. 8p.

Schlagworte: Tongue cancer, Pathological physiology, Medical personnel, Artificial intelligence, Deep learning

The role of artificial intelligence in detecting avian influenza virus outbreaks: A review.

Autoren: Shafi, Majid Shabir, Shabia Jan, Sami et al.

Quelle: Open Veterinary Journal. 2025, Vol. 15 Issue 5, p1880-1894. 15p.

Schlagworte: Avian influenza A virus, Poultry diseases, Data analytics, Artificial intelligence, Poultry industry

Translating Genetic Knowledge Into Clinical Care in Non-Autoimmune Diabetes (TRANSLATE)

Autoren: Steno Diabetes Center Copenhagen BGI Europe Intomics A/S et al.

Weitere Verfasser: Steno Diabetes Center Copenhagen BGI Europe Intomics A/S et al.

Quelle: TRANSLATE - Translating Genetic Knowledge Into Clinical Care in Non-Autoimmune Diabetes

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.

Application of Machine Learning in Drone Technology for Tracking of Tigers.

Autoren: AlZubi, Ahmad Ali Alkhanifer, Abdulrhman

Quelle: Indian Journal of Animal Research. Sep2024, Vol. 58 Issue 9, p1614-1621. 8p.

Schlagworte: Machine learning, Wildlife conservation, Wildlife monitoring, Tigers, Top predators

Intelligent Monitoring System for Deep Foundation Pit Based on Digital Twin.

Autoren: Pan, Peng Sun, Shuo-Hui Feng, Jie-Xun et al.

Quelle: Buildings (2075-5309); Feb2025, Vol. 15 Issue 3, p366, 24p

Schlagwörter: BUILDING foundations, OPTIMIZATION algorithms, BORED piles, ELASTIC modulus, DIGITAL twin

Artificial Intelligence in Endurance Sports: Metabolic, Recovery, and Nutritional Perspectives.

Autoren: Grivas, Gerasimos V. Safari, Kousar

Quelle: Nutrients. Oct2025, Vol. 17 Issue 20, p3209. 26p.

The assignment success for 22 horse breeds registered in the Czech Republic: The machine learning perspective.

Autoren: ŠTOHLOVÁ PUTNOVÁ, LENKA ŠTOHL, RADEK

Quelle: Czech Journal of Animal Science. 2021, Vol. 66 Issue 1, p1-12. 18p.

Schlagworte: Machine learning, Horse breeds, Internet servers, Germplasm, Genetic distance, Genes, Ponies

Geografische Kategorien: Czech Republic