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

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

Autoren: Jini Mol G. Ajith Bosco Raj T.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/f0ca2a0189ee4810b9f4232cda2a060a

Enhancing Fault Detection in CNC Machinery: A Deep Learning and Genetic Algorithm Approach.

Autoren: Mbilong, Paul Menounga Aarab, Zineb Belouadha, Fatima-Zahra et al.

Quelle: Ingénierie des Systèmes d'Information. Oct2023, Vol. 28 Issue 5, p1361-1375. 15p.

Schlagwörter: MACHINE learning, GENETIC algorithms, DEEP learning, MONITORING of machinery, CONVOLUTIONAL neural networks, NUMERICAL control of machine tools

Firma/Körperschaft: UNIVERSITY of Michigan

Machine learning-based optimization of geometrical accuracy in wire cut drilling.

Autoren: Ghasempour-Mouziraji, Mehran Hosseinzadeh, Morteza Hajimiri, Hossein et al.

Quelle: International Journal of Advanced Manufacturing Technology. Dec2022, Vol. 123 Issue 11/12, p4265-4276. 12p. 4 Color Photographs, 5 Diagrams, 8 Charts.

Schlagwörter: *AUTOMATION, *CUTTING machines, *GENETIC algorithms, *MACHINING, *MACHINERY, *MACHINE learning

Predictive Maintenance of Mining Machinery Using Machine Learning Approaches

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

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

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

Dateibeschreibung: print

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

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

Application of programming methods for control of fluctuations in electric power systems and networks.

Alternate Title: Застосування методів програмування для керування коливаннями в електроенергетичних системах і мережах. (Ukrainian)

Autoren: Abdyldaev, Rysbek Murzakulov, Nurkul Abdullaeva, Almagul et al.

Quelle: Machinery & Energetics; 2025, Vol. 16 Issue 2, p70-82, 13p

Schlagwörter: ELECTRIC power system stability, PARTICLE swarm optimization, ELECTRIC power system control, RENEWABLE energy source management, RENEWABLE energy sources

Genetic Algorithm–Based Multiobjective Optimization for 3D Printable Design of a Double-Shell Lunar Habitat Structure.

Autoren: Chen, Quanyao Gao, Yuyue Ding, Lieyun et al.

Quelle: Journal of Aerospace Engineering; Nov2023, Vol. 36 Issue 6, p1-20, 20p

Schlagwörter: LUNAR exploration, HABITATS, GENETIC algorithms, EXTREME environments

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

A Summary of PID Control Algorithms Based on AI-Enabled Embedded Systems.

Autoren: Zhou, Yi

Quelle: Security & Communication Networks; 4/23/2022, p1-7, 7p

Schlagwörter: ANT algorithms, MANUFACTURING processes, INTELLIGENT control systems, ALGORITHMS, ADAPTIVE control systems, PREDICTIVE control systems, GENETIC algorithms, PID controllers

Next‐Generation Vaccines for Co‐Circulating PEDV and TGEV: Integrating Nucleic Acid Platforms, Mucosal Delivery, and AI–Driven Antigen Design.

Autoren: Hu, Xiaojun Wang, Zhenshan Wang, Shen et al.

Quelle: Transboundary & Emerging Diseases. 12/4/2025, Vol. 2025, p1-26. 26p.

Production Scheduling Optimization during Thermoforming of Ring Forgings Based on Genetic Algorithms.

Autoren: Chen, Yizhe Xie, Beichen Ma, Huijuan et al.

Quelle: Metals (2075-4701); Oct2022, Vol. 12 Issue 10, p1631-N.PAG, 17p

Schlagwörter: GENETIC algorithms, PRODUCTION scheduling, THERMOFORMING, FURNACES, ENERGY consumption, GENETIC models

Design Optimization of Steering Mechanisms for Articulated Off-Road Vehicles Based on Genetic Algorithms.

Autoren: Zhou, Chen Liu, Xinhui Xu, Feixiang

Quelle: Algorithms; Feb2018, Vol. 11 Issue 2, p22, 13p

Schlagwörter: GENETIC algorithms, STEERING gear, OFF-road vehicles, EVOLUTIONARY algorithms, LEARNING classifier systems

Gender identification of chicks using vocalisation signals, artificial intelligence and machine learning techniques: current status and future prospects.

Autoren: Kannan, A. Basu, Joyanta Roy, Rajib et al.

Quelle: World's Poultry Science Journal. Mar2025, Vol. 81 Issue 1, p87-102. 16p.

Automated landmark-based cat facial analysis and its applications.

Autoren: Martvel, George Lazebnik, Teddy Feighelstein, Marcelo et al.

Quelle: Frontiers in Veterinary Science. 2024, p1-12. 12p.

Dairy 4.0: Embracing Digital Technology for Sustainable Farming: A Review.

Autoren: Sangode, Pallawi Baldeo¹ pallawi.sangode@sibmnagpur.edu.in

Quelle: Asian Journal of Dairy & Food Research. Apr2025, Vol. 44 Issue 2, p169-178. 11p.

Deep learning in water protection of resources, environment, and ecology: achievement and challenges.

Autoren: Fu X Jiang J Wu X et al.

Quelle: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Feb; Vol. 31 (10), pp. 14503-14536. Date of Electronic Publication: 2024 Feb 02.

Publikationsart: Journal Article; Review

Info zur Zeitschrift: Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499 (Electronic) Linking ISSN: 09441344 NLM ISO Abbreviation: Environ Sci Pollut Res Int Subsets: MEDLINE

MeSH-Schlagworte: Deep Learning*, Ecology ; Water Pollution/prevention & control ; Algorithms ; Water Resources

Multi-omics and AI-driven advances in miRNA-mediated hair follicle regulation in cashmere goats.

Autoren: Chunhua, Zhang Le, Fu Shengli, Li et al.

Quelle: Frontiers in Veterinary Science. 2025, p1-24. 24p.

RESEARCH ON FLOW SHOP SCHEDULING METHOD BASED ON CO-EVOLUTIONARY ALGORITHM.

Autoren: Junhui Song Hua Xie Zhenzhen Xia

Quelle: Academic Journal of Manufacturing Engineering; 2019, Vol. 17 Issue 1, p126-131, 6p

Schlagwörter: FLOW shop scheduling, SIMULATED annealing, GENETIC algorithms, ALGORITHMS, EVOLUTIONARY algorithms, CONSUMPTION (Economics)

Task-unit based trajectory generation for excavators utilizing expert operator skills.

Autoren: Feng, Chenlong Shen, Yuying Wang, Jixin et al.

Quelle: Automation in Construction. Feb2024, Vol. 158, pN.PAG-N.PAG. 1p.

Schlagwörter: *GAUSSIAN mixture models, *EXCAVATING machinery, *GENETIC algorithms

CHALLENGES AND OPPORTUNITIES FOR PRECISION LIVESTOCK FARMING APPLICATIONS IN THE RABBIT PRODUCTION SECTOR.

Autoren: Norton, Tomás Cambra-López, María

Quelle: World Rabbit Science. Apr-Jun2025, Vol. 33 Issue 2, p127-138. 12p.