Search Results - (automation OR automatizace) (machine OR machinery) learning algorithm based on genetics algorithms

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

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

Source: Journal of Software.

Subject Terms: 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

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

A pillar-based microfluidic chip for T-cells and B-cells isolation and detection with machine learning algorithm

Authors: Bilal Turan Taisuke Masuda Lei Wu et al.

Source: ROBOMECH Journal, Vol 5, Iss 1, Pp 1-9 (2018)

Subject Terms: Technology, Artificial intelligence, Support vector machine, Industrial engineering. Management engineering, Microfluidics, 02 engineering and technology, Histogram of Oriented Gradients features, Biochemistry, Metastasis, Automation, Engineering, TJ1-1570, Nanotechnology, Mechanical engineering and machinery, TJ227-240, Paper-Based Microfluidics, Microfluidic Devices, Cell counting, Cancer, Life Sciences, Comprehensive Integration of Single-Cell Transcriptomic Data, T58.5-58.64, Algorithm, Chemistry, TJ212-225, Physical Sciences, Paper-Based Diagnostic Devices, 0210 nano-technology, Biomedical engineering, B-cells, Biomedical Engineering, Information technology, T55.4-60.8, Microfluidic Techniques for Particle Manipulation and Separation, Cell cycle, FOS: Medical engineering, Lab-on-a-Chip, Biochemistry, Genetics and Molecular Biology, Machine learning, Genetics, Image (mathematics), T1-995, Machine design and drawing, Molecular Biology, Biology, Technology (General), FOS: Nanotechnology, Histogram, Control engineering systems. Automatic machinery (General), T-cells, Circulating tumor cell, Computer science, Materials science, T59.5, Microfluidic chip, Biological system, FOS: Biological sciences, Cell

Access URL: https://robomechjournal.springeropen.com/track/pdf/10.1186/s40648-018-0124-8
https://doaj.org/article/743f31083b254b22819d5237f0e861e0
https://robomechjournal.springeropen.com/articles/10.1186/s40648-018-0124-8
https://link.springer.com/article/10.1186/s40648-018-0124-8
https://link.springer.com/content/pdf/10.1186/s40648-018-0124-8.pdf

GAOR: Genetic Algorithm-Based Optimization for Machine Learning Robustness in Communication Networks

Authors: Aderonke Thompson Jani Suomalainen

Source: Network, Vol 5, Iss 1, p 6 (2025)

Subject Terms: machine learning, tree-based models, trustworthiness, robustness, optimization, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://www.mdpi.com/2673-8732/5/1/6; https://doaj.org/toc/2673-8732

Access URL: https://doaj.org/article/79373b7443914d8c9fadac74657a0b00

Development of a Genetic Algorithm-Based Control Strategy for Fuel Consumption Optimization in a Mild Hybrid Electrified Vehicle’s Electrified Propulsion System

Authors: Roberto H. Q. Filho Rodrigo P. M. Ruiz Eisenhawer de M. Fernandes et al.

Source: Energies, Vol 17, Iss 9, p 2015 (2024)

Subject Terms: hybrid vehicles, virtualization, vehicle simulation, machine learning, genetic algorithm, tuning automation/automatic calibration, Technology

File Description: electronic resource

Relation: https://www.mdpi.com/1996-1073/17/9/2015; https://doaj.org/toc/1996-1073

Access URL: https://doaj.org/article/6c56a7560bc842d9bdb3e0500d21d3ae

A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction

Authors: Jini Mol G. Ajith Bosco Raj T.

Source: Automatika, Vol 66, Iss 1, Pp 79-90 (2025)

Subject Terms: 1D-CNN, genetic algorithm (GA), optimized GRU (OGRU), SMOTE-ENN, Control engineering systems. Automatic machinery (General), TJ212-225, Automation, T59.5

File Description: electronic resource

Relation: https://doaj.org/toc/0005-1144; https://doaj.org/toc/1848-3380

Access URL: https://doaj.org/article/f0ca2a0189ee4810b9f4232cda2a060a

AI-enhanced automation of building energy optimization using a hybrid stacked model and genetic algorithms: Experiments with seven machine learning techniques and a deep neural network

Authors: Mohammad H. Mehraban Samad ME Sepasgozar Alireza Ghomimoghadam et al.

Source: Results in Engineering, Vol 26, Iss , Pp 104994- (2025)

Subject Terms: Building energy performance, Architectural design, Simulations, Artificial intelligence (AI), Machine learning, Deep learning, Technology

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123025010709; https://doaj.org/toc/2590-1230

Access URL: https://doaj.org/article/7f13a1854a4f439d8ca8919b99d6ad25

Uncertainty‐aware nuclear power turbine vibration fault diagnosis method integrating machine learning and heuristic algorithm

Authors: Ruirui Zhong Yixiong Feng Puyan Li et al.

Source: IET Collaborative Intelligent Manufacturing, Vol 6, Iss 3, Pp n/a-n/a (2024)

Subject Terms: fault diagnosis, feature extraction, genetic algorithms, intelligent manufacturing systems, Manufactures, TS1-2301, Technological innovations. Automation, HD45-45.2

File Description: electronic resource

Relation: https://doaj.org/toc/2516-8398

Access URL: https://doaj.org/article/2ed4f7c15d134aea8a2178facc80d1ff

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

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

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

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

Predictive Maintenance of Mining Machinery Using Machine Learning Approaches

Authors: Taghizadeh Vahed, Amir Ghodrati, Behzad Demirel, Nuray et al.

Source: Proceedings of the 29th European Safety and Reliability Conference (ESREL 2019). :1242-1246

Subject Terms: Maintenance, Machine learning, k-nearest neighbors, Multi-layer perceptron, Radial basis function, Genetic algorithm, Drift och underhållsteknik, Operation and Maintenance

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Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85882

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

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

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

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

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

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

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

GA-HPO PPO: A Hybrid Algorithm for Dynamic Flexible Job Shop Scheduling.

Authors: Zhou, Yiming Jiang, Jun Shi, Qining et al.

Source: Sensors (14248220). Nov2025, Vol. 25 Issue 21, p6736. 26p.

Subject Terms: *PRODUCTION scheduling, *GENETIC algorithms, *OPTIMIZATION algorithms, *MACHINE performance, *MATHEMATICAL optimization, *REINFORCEMENT learning

基于随机对称搜索的进化强化学习算法. (Chinese)

Alternate Title: An evolutionary reinforcement learning algorithm based on stochastic symmetric search. (English)

Authors: 邸 剑 万 雪 姜丽梅

Source: Computer Engineering & Science / Jisuanji Gongcheng yu Kexue; May2025, Vol. 47 Issue 5, p912-920, 9p

Subject Terms: MACHINE learning, DEEP reinforcement learning, EVOLUTIONARY algorithms, ROBOT motion, ROBOT control systems

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

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

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

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

INTERPRETABLE AI ARCHITECTURE OF MACHINE LEARNING ALGORITHM FOR INTELLIGENT VIDEO SURVEILLANCE BASED ON FOG AND EDGE COMPUTING.

Authors: JIE ZHANG WEIPING SONG WENKUI SHE et al.

Source: Scalable Computing: Practice & Experience; May2025, Vol. 26 Issue 3, p1231-1241, 11p

Subject Terms: MACHINE learning, VIDEO surveillance, EDGE computing, ELECTRONIC data processing, VIDEO processing, VIDEO monitors

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

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

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

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

Software defect prediction ensemble learning algorithm based on 2-step sparrow optimizing extreme learning machine.

Authors: Tang, Yu Dai, Qi Yang, Mengyuan et al.

Source: Cluster Computing; Nov2024, Vol. 27 Issue 8, p11119-11148, 30p

Subject Terms: OPTIMIZATION algorithms, MACHINE learning, SWARM intelligence, BOOTSTRAP aggregation (Algorithms), SEARCH algorithms, SOFTWARE measurement

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

Authors: Ermetin, Orhan Örnek, Humar Kahramanlı

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

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

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

Authors: AlZubi, Ahmad Ali Alkhanifer, Abdulrhman

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

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

An influent generator for WRRF design and operation based on a recurrent neural network with multi-objective optimization using a genetic algorithm

Authors: Feiyi Li Peter A. Vanrolleghem

Source: Water Science and Technology, Vol 85, Iss 5, Pp 1444-1453 (2022)

Subject Terms: digitalization, lstm, machine learning, nsga-ii, variability, wastewater modelling, Environmental technology. Sanitary engineering, TD1-1066

File Description: electronic resource

Relation: http://wst.iwaponline.com/content/85/5/1444; https://doaj.org/toc/0273-1223; https://doaj.org/toc/1996-9732

Access URL: https://doaj.org/article/52b9d8f71d794d79b65cc0e344240ade