Výsledky vyhledávání - (automatic OR automation) machinery learning algorithm based on (genetic OR genetics) algorithms

Research on Efficiency Improvement Technology of Wide Range Centrifugal Pump Based on Genetic Algorithm and Internal Flow Loss Diagnosis.

Autoři: Liu, Zhenbo Ji, Leilei Pu, Wei a další

Zdroj: Water (20734441); Dec2024, Vol. 16 Issue 23, p3402, 28p

Témata: PRODUCTION losses, ROTATING machinery, GENETIC algorithms, CENTRIFUGAL pumps, ROTATIONAL motion, MECHANICAL energy

Abnormal Detection and Fault Diagnosis of Adjustment Hydraulic Servomotor Based on Genetic Algorithm to Optimize Support Vector Data Description with Negative Samples and One-Dimensional Convolutional Neural Network

Autoři: Xukang Yang Anqi Jiang Wanlu Jiang a další

Zdroj: Machines, Vol 12, Iss 6, p 368 (2024)

Témata: adjustment hydraulic servomotor, fault detection, fault diagnosis, genetic algorithm, support vector data description, one-dimensional convolutional neural networks, Mechanical engineering and machinery, TJ1-1570

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2075-1702/12/6/368; https://doaj.org/toc/2075-1702

Přístupová URL adresa: https://doaj.org/article/53c2c28d089542728eefe2d4c29e2835

Multi-Voyage Path Planning for River Crab Aquaculture Feeding Boats.

Autoři: Sun, Yueping Guo, Peixuan Wang, Yantong a další

Zdroj: Fishes (MDPI AG). Aug2025, Vol. 10 Issue 8, p420. 27p.

Témata: *GENETIC algorithms, *REINFORCEMENT learning, *FRESHWATER crabs, *ROBOTIC path planning, *MATHEMATICAL optimization, *MARICULTURE, *OBSTACLE avoidance (Robotics)

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)

Autoři: 张 宇 张 健 齐 林

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

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

Autoři: Pan, Peng Sun, Shuo-Hui Feng, Jie-Xun a další

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

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

A clustering-aided multi-agent deep reinforcement learning for multi-objective parallel batch processing machines scheduling in semiconductor manufacturing

Autoři: Peng Zhang Mengyu Jin Ming Wang a další

Zdroj: Measurement + Control, Vol 58 (2025)

Témata: Control engineering systems. Automatic machinery (General), TJ212-225, Technology (General), T1-995

Popis souboru: electronic resource

Relation: https://doaj.org/toc/0020-2940

Přístupová URL adresa: https://doaj.org/article/3035953ce3c7462bbe79970cb38ea0e8

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

Autoři: Kannan, A. Basu, Joyanta Roy, Rajib a další

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

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

Autoři: Hu, Xiaojun Wang, Zhenshan Wang, Shen a další

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

Pathogenicity and Genomic Characterization of Pasteurella multocida Serogroup F Isolate AH01 From Porcine Pneumonia in China.

Autoři: Li, Yang-Yang Li, Hai-Xia Fan, Chuan-Hao a další

Zdroj: Transboundary & Emerging Diseases. 11/11/2025, Vol. 2025, p1-15. 15p.

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

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

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

Automated landmark-based cat facial analysis and its applications.

Autoři: Martvel, George Lazebnik, Teddy Feighelstein, Marcelo a další

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

Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning

Autoři: Wei (Wayne) Chen Rachel Sun Doksoo Lee a další

Zdroj: Advanced Intelligent Systems, Vol 7, Iss 6, Pp n/a-n/a (2025)

Témata: functional responses, generative design, interpretable machine learning, inverse design, metamaterials, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2640-4567

Přístupová URL adresa: https://doaj.org/article/167af797d8594616b2f3a967e86667b0

Obtaining and Characterization of Nutraceuticals Based on Linoleic Acid Derivatives Obtained by Green Synthesis and Their Valorization in the Food Industry.

Autoři: Dehelean, Cristina Adriana Boru, Casiana Macașoi, Ioana Gabriela a další

Zdroj: Nutrients. Aug2025, Vol. 17 Issue 15, p2416. 72p.

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

Autoři: Jini Mol G. Ajith Bosco Raj T.

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

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/f0ca2a0189ee4810b9f4232cda2a060a

Physics‐Based Human‐in‐the‐Loop Machine Learning Combined with Genetic Algorithm Search for Multicriteria Optimization: Electrochemical CO2 Reduction Reaction

Autoři: Naohiro Fujinuma Samuel E. Lofland

Zdroj: Advanced Intelligent Systems, Vol 5, Iss 5, Pp n/a-n/a (2023)

Témata: carbon dioxide reduction reaction, correlation analyses, genetic algorithms, machine learning, SHapley Additive exPlanations, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2640-4567

Přístupová URL adresa: https://doaj.org/article/a276dc412fe24f4085557a914382bc89

Research on the Photovoltaic MPPT Method Based on Improved BP-SVM-ELM Combination Prediction

Autoři: DAI Bowang ZHAO Xianggui ZHU Qiliang

Zdroj: Kongzhi Yu Xinxi Jishu, Vol 36, Pp 44-49 (2019)

Témata: photovoltaic power generation, maximum power point tracking, combination prediction, genetic algorithm, neural networks, support vector machine, extreme learning machine, Control engineering systems. Automatic machinery (General), TJ212-225, Technology

Popis souboru: electronic resource

Relation: http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.01.009; https://doaj.org/toc/2096-5427

Přístupová URL adresa: https://doaj.org/article/f61d244560f74a2f9fc281a657d03854

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

Autoři: Fu X Jiang J Wu X a další

Zdroj: 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.

Způsob vydávání: Journal Article; Review

Informace o časopise: 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

Výrazy ze slovníku MeSH: Deep Learning*, Ecology ; Water Pollution/prevention & control ; Algorithms ; Water Resources

Calculation Method for Inflow Performance Relationship in Sucker Rod Pump Wells Based on Real-Time Monitoring Dynamometer Card.

Autoři: Zhang, Ruichao Yin, Yuqiong Xiao, Liangfei a další

Zdroj: Geofluids; 11/16/2020, p1-11, 11p, 1 Diagram, 1 Chart, 3 Graphs

Témata: DYNAMOMETER, OIL wells, COST control, PUMPING machinery, GENETIC algorithms, INDUSTRIAL costs

Dual Neural Network Framework with SPICE Integration for Fast and Accurate Transistor Modeling

Autoři: Rodion Novkin Hussam Amrouch

Zdroj: Advanced Intelligent Systems, Vol 7, Iss 10, Pp n/a-n/a (2025)

Témata: circuit simulation, design technology co‐optimization, machine learning, neural network, transistor compact model, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2640-4567

Přístupová URL adresa: https://doaj.org/article/edeea3d843ea467a8358720f7a8c905c

Prediction of Stem Cell State Using Cell Image‐Based Deep Learning

Autoři: Minjae Kim Yong Namkung Donghun Hyun a další

Zdroj: Advanced Intelligent Systems, Vol 5, Iss 7, Pp n/a-n/a (2023)

Témata: cell culture, cell morphology, convolutional neural networks, deep learning, prediction, stem cells, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2640-4567

Přístupová URL adresa: https://doaj.org/article/d5345520286e4fccb2ef003283444480