Výsledky vyhľadávania - automatic machinery learning algorithm based on genetics algorithms

Genetic algorithm based active fault-tolerant control system for air fuel ratio control of internal combustion engines

Autori: Muhammad Sajid Iqbal Arslan Ahmed Amin

Zdroj: Measurement + Control, Vol 55 (2022)

Predmety: MATLAB, Artificial intelligence, 0209 industrial biotechnology, Control (management), 02 engineering and technology, Process Fault Detection and Diagnosis in Industries, Redundancy (engineering), Automotive engineering, Quantum mechanics, 7. Clean energy, Reliability engineering, Fault (geology), Internal Combustion Engines, Engineering, Fault Isolation, Actuator, Machine learning, Control theory (sociology), T1-995, Constraint Handling, Technology (General), FOS: Chemical engineering, Seismology, Fluid Flow and Transfer Processes, Control engineering systems. Automatic machinery (General), Chemical Kinetics of Combustion Processes, Control engineering, Physics, Fault tolerance, Observer (physics), Geology, FOS: Earth and related environmental sciences, Chemical Engineering, Fault Detection, Internal combustion engine, Computer science, Operating system, Model Predictive Control in Industrial Processes, Genetic algorithm, Control and Systems Engineering, 13. Climate action, TJ212-225, Electrical engineering, Physical Sciences, Fault detection and isolation, Robust Control

Prístupová URL adresa: https://doaj.org/article/a221c489f2b74ebd81630adbd298e0bb

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

Autori: Bilal Turan Taisuke Masuda Lei Wu a ďalší

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

Predmety: 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

Prístupová URL adresa: 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

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

Autori: Sun, Yueping Guo, Peixuan Wang, Yantong a ďalší

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

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

Wearable blood pressure sensors for cardiovascular monitoring and machine learning algorithms for blood pressure estimation.

Autori: Min S An J Lee JH a ďalší

Zdroj: Nature reviews. Cardiology [Nat Rev Cardiol] 2025 Sep; Vol. 22 (9), pp. 629-648. Date of Electronic Publication: 2025 Feb 18.

Spôsob vydávania: Journal Article; Review

Informácie o časopise: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101500075 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1759-5010 (Electronic) Linking ISSN: 17595002 NLM ISO Abbreviation: Nat Rev Cardiol Subsets: MEDLINE

Výrazy zo slovníka MeSH: Machine Learning* , Wearable Electronic Devices* , Blood Pressure*/physiology , Blood Pressure Determination*/instrumentation , Blood Pressure Determination*/methods , Blood Pressure Monitors* , Blood Pressure Monitoring, Ambulatory*/instrumentation, Humans ; Algorithms ; Predictive Value of Tests ; Equipment Design

AI-based model for automatic identification of multiple sclerosis based on enhanced sea-horse optimizer and MRI scans.

Autori: Khattap MG Abd Elaziz M Hassan HGEMA a ďalší

Zdroj: Scientific reports [Sci Rep] 2024 May 27; Vol. 14 (1), pp. 12104. Date of Electronic Publication: 2024 May 27.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Výrazy zo slovníka MeSH: Multiple Sclerosis*/diagnostic imaging , Magnetic Resonance Imaging*/methods , Algorithms*, Humans ; Female ; Male ; Adult ; Artificial Intelligence ; Brain/diagnostic imaging ; Brain/pathology ; Image Interpretation, Computer-Assisted/methods ; Case-Control Studies ; Young Adult ; Middle Aged ; Image Processing, Computer-Assisted/methods

An automated parallel genetic algorithm with parametric adaptation for distributed data analysis.

Autori: Al-Terkawi L Migliavacca M

Zdroj: Scientific reports [Sci Rep] 2025 Mar 29; Vol. 15 (1), pp. 10836. Date of Electronic Publication: 2025 Mar 29.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

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

Autori: Peng Zhang Mengyu Jin Ming Wang a ďalší

Zdroj: Measurement + Control, Vol 58 (2025)

Predmety: 0209 industrial biotechnology, Control engineering systems. Automatic machinery (General), TJ212-225, 0211 other engineering and technologies, T1-995, 02 engineering and technology, Technology (General)

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

Mobile Robot Path Planning Method Based on Deep Reinforcement Learning Algorithm.

Autori: Meng, Haitao Zhang, Hengrui

Zdroj: Journal of Circuits, Systems & Computers; Oct2022, Vol. 31 Issue 15, p1-19, 19p

Predmety: REINFORCEMENT learning, ROBOTIC path planning, MACHINE learning, MOBILE robots, REWARD (Psychology), ENERGY function

Hyperparameter Optimization for Deep Learning-based Automatic Melanoma Diagnosis System

Autori: Takashi Nagaoka

Zdroj: Advanced Biomedical Engineering. 2020, 9:225

Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning

Autori: Wei (Wayne) Chen Rachel Sun Doksoo Lee a ďalší

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

Predmety: 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 súboru: electronic resource

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

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

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

Autori: Naohiro Fujinuma Samuel E. Lofland

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

Predmety: 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 súboru: electronic resource

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

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

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

Autori: Jini Mol G. Ajith Bosco Raj T.

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

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

Popis súboru: electronic resource

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

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

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

Autori: DAI Bowang ZHAO Xianggui ZHU Qiliang

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

Predmety: 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 súboru: electronic resource

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

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

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

Autori: Minjae Kim Yong Namkung Donghun Hyun a ďalší

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

Predmety: 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 súboru: electronic resource

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

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

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

Autori: Rodion Novkin Hussam Amrouch

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

Predmety: 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 súboru: electronic resource

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

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

An intelligent fault identification method of rolling bearings based on SVM optimized by improved GWO

Autori: Haisong Huang Qingsong Fan Jianan Wei a ďalší

Zdroj: Systems Science & Control Engineering, Vol 7, Iss 1, Pp 289-303 (2019)

Predmety: Improved grey wolf optimization algorithm, support vector machine, parameter optimization, bearing fault diagnosis, Control engineering systems. Automatic machinery (General), TJ212-225, Systems engineering, TA168

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2164-2583

Prístupová URL adresa: https://doaj.org/article/6d208fd2421344f69807289cf9a8eced

Optimizing tacrolimus dosage in post-renal transplantation using DoseOptimal framework: profiling CYP3A5 genetic variants for interpretability.

Autori: Raval CU Makwana A Patel S a ďalší

Zdroj: International journal of clinical pharmacy [Int J Clin Pharm] 2025 Aug; Vol. 47 (4), pp. 1042-1052. Date of Electronic Publication: 2025 Mar 21.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Springer Country of Publication: Netherlands NLM ID: 101554912 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2210-7711 (Electronic) NLM ISO Abbreviation: Int J Clin Pharm Subsets: MEDLINE

Výrazy zo slovníka MeSH: Tacrolimus*/administration & dosage , Cytochrome P-450 CYP3A*/genetics , Kidney Transplantation*/trends , Immunosuppressive Agents*/administration & dosage , Genetic Variation*/genetics, Humans ; Male ; Female ; Middle Aged ; Adult ; Dose-Response Relationship, Drug ; Aged

Review on Machine Learning Algorithm Based Fault Detection in Induction Motors.

Autori: Kumar, Prashant Hati, Ananda Shankar

Zdroj: Archives of Computational Methods in Engineering; May2021, Vol. 28 Issue 3, p1929-1940, 12p

Advancing biological taxonomy in the AI era: deep learning applications, challenges, and future directions.

Autori: Lu S Fang C Zeng H a ďalší

Zdroj: Science China. Life sciences [Sci China Life Sci] 2025 Oct 23. Date of Electronic Publication: 2025 Oct 23.

Spôsob vydávania: Journal Article; Review

Informácie o časopise: Publisher: Science China Press, co-published with Springer Country of Publication: China NLM ID: 101529880 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1869-1889 (Electronic) Linking ISSN: 16747305 NLM ISO Abbreviation: Sci China Life Sci Subsets: MEDLINE

Social spider optimization algorithm for tuning parameters in PD-like Interval Type-2 Fuzzy Logic Controller applied to a parallel robot

Autori: Amjad J. Humaidi Huda T Najem Ayad Q. Al-Dujaili a ďalší

Zdroj: Measurement + Control, Vol 54 (2021)

Predmety: MATLAB, Artificial intelligence, 0209 industrial biotechnology, Robot, Robustness (evolution), Control (management), 3-Revolute-Revolute-Revolute robot, Type-2 Fuzzy Sets, 02 engineering and technology, Biochemistry, Gene, Engineering, Interval Type-2 Fuzzy Logic, Artificial Intelligence, Fuzzy Rule-Based Systems, Control theory (sociology), 0202 electrical engineering, electronic engineering, information engineering, T1FL controller, T1-995, Type-2 Fuzzy Logic Systems and Applications, Swarm Intelligence Optimization Algorithms, Fuzzy Logic Systems, Technology (General), Interval Type-2 FLC, Control engineering systems. Automatic machinery (General), Control engineering, Revolute joint, Computer science, Fuzzy logic, Algorithm, Chemistry, Operating system, Fuzzy control system, Particle Swarm Optimization, TJ212-225, Application of Genetic Programming in Machine Learning, Social Spider Optimization (SSO), Computer Science, Physical Sciences

Popis súboru: application/pdf

Prístupová URL adresa: https://journals.sagepub.com/doi/pdf/10.1177/0020294021997483
https://doaj.org/article/972d3abdae3d43899b860c03f9103144
https://journals.sagepub.com/doi/full/10.1177/0020294021997483
https://journals.sagepub.com/doi/pdf/10.1177/0020294021997483
http://journals.sagepub.com/doi/10.1177/0020294021997483