Suchergebnisse - (automatic OR automatische) machinery learning algorithm based on genetics algorithms*

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

Autoren: Sun, Yueping Guo, Peixuan Wang, Yantong et al.

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

Schlagwörter: *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.

Autoren: Min S An J Lee JH et al.

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

Publikationsart: Journal Article; Review

Info zur Zeitschrift: 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

MeSH-Schlagworte: 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.

Autoren: Khattap MG Abd Elaziz M Hassan HGEMA et al.

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

Publikationsart: Journal Article

Info zur Zeitschrift: 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

MeSH-Schlagworte: 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

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

Autoren: Peng Zhang Mengyu Jin Ming Wang et al.

Quelle: Measurement + Control, Vol 58 (2025)

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

Zugangs-URL: https://doaj.org/article/3035953ce3c7462bbe79970cb38ea0e8

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

Zugangs-URL: 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

Autoren: Naohiro Fujinuma Samuel E. Lofland

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

Schlagwörter: 0301 basic medicine, correlation analyses, SHapley Additive exPlanations, Computer engineering. Computer hardware, 0303 health sciences, Artificial Intelligence and Robotics, Control engineering systems. Automatic machinery (General), 7. Clean energy, carbon dioxide reduction reaction, genetic algorithms, TK7885-7895, 03 medical and health sciences, machine learning, Materials Science and Engineering, TJ212-225

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/a276dc412fe24f4085557a914382bc89

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

Autoren: Amjad J. Humaidi Huda T Najem Ayad Q. Al-Dujaili et al.

Quelle: Measurement + Control, Vol 54 (2021)

Schlagwörter: 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

Dateibeschreibung: application/pdf

Zugangs-URL: 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

Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis

Autoren: Bo Peng Shuting Wan Ying Bi et al.

Quelle: IEEE Transactions on Cybernetics. 51:4909-4923

Schlagwörter: Equipment Failure Analysis, Artificial Intelligence and Image Processing, Applied Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Artificial Intelligence & Image Processing, 02 engineering and technology, Electrical and Electronic Engineering, Vibration, Algorithms

Zugangs-URL: https://figshare.com/articles/journal_contribution/Automatic_Feature_Extraction_and_Construction_Using_Genetic_Programming_for_Rotating_Machinery_Fault_Diagnosis/13884914/1/files/26429357.pdf
https://openaccess.wgtn.ac.nz/articles/journal_contribution/Automatic_Feature_Extraction_and_Construction_Using_Genetic_Programming_for_Rotating_Machinery_Fault_Diagnosis/13884914/files/26429357.pdf
https://pubmed.ncbi.nlm.nih.gov/33237874
https://www.ncbi.nlm.nih.gov/pubmed/33237874
https://ieeexplore.ieee.org/document/9271873/
https://europepmc.org/article/MED/33237874
https://dblp.uni-trier.de/db/journals/tcyb/tcyb51.html#PengWBXZ21
https://pubmed.ncbi.nlm.nih.gov/33237874/
https://openaccess.wgtn.ac.nz/articles/journal_contribution/Automatic_Feature_Extraction_and_Construction_Using_Genetic_Programming_for_Rotating_Machinery_Fault_Diagnosis/13884914/1

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

Autoren: Xukang Yang Anqi Jiang Wanlu Jiang et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/53c2c28d089542728eefe2d4c29e2835

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

Autoren: Dehelean, Cristina Adriana Boru, Casiana Macașoi, Ioana Gabriela et al.

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

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

Autoren: Meng, Haitao Zhang, Hengrui

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

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

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

Autoren: Al-Terkawi L Migliavacca M

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

Publikationsart: Journal Article

Info zur Zeitschrift: 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

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

Autoren: Raval CU Makwana A Patel S et al.

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

Publikationsart: Journal Article

Info zur Zeitschrift: 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

MeSH-Schlagworte: 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

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.

A fault detection strategy for an ePump during EOL tests based on a knowledge-based vibroacoustic tool and supervised machine learning classifiers.

Autoren: Borriello, Pasquale Tessicini, Fabrizio Ricucci, Giuseppe et al.

Quelle: Meccanica; Mar2024, Vol. 59 Issue 3, p279-304, 26p

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

Beyond GLP-1 Agonists: An Adaptive Ketogenic–Mediterranean Protocol to Counter Metabolic Adaptation in Obesity Management.

Autoren: García-Gorrita, Cayetano San Onofre, Nadia Merino-Torres, Juan F. et al.

Quelle: Nutrients. Aug2025, Vol. 17 Issue 16, p2699. 54p.

Genomic comparison between Mycobacterium bovis and Mycobacterium microti and in silico analysis of peptide-based biomarkers for serodiagnosis.

Autoren: Moens, Charlotte Bogaerts, Bert Lorente-Leal, Victor et al.

Quelle: Frontiers in Veterinary Science. 2024, p1-19. 19p.

Sensor data cleaning for applications in dairy herd management and breeding.

Autoren: Schodl, Katharina Stygar, Anna Steininger, Franz et al.

Quelle: Frontiers in Animal Science. 2024, p1-10. 10p.

Agritech Pro: Empowering Farmers With AI-Driven Solutions For Crop Health And Yield Enhancement.

Autoren: Suresh Babu, Ch. V Subrahmanyam, P. L. Akhila, R. et al.

Quelle: Journal of Advanced Zoology. 2024, Vol. 45 Issue 2, p299-305. 7p.