Výsledky vyhledávání - (automatic OR automatizace) machine learning algorithm based on genetics algorithms

Adaptive load consumption modelling on the user side: contributions to load forecasting modelling based on supervised mixture of experts and genetic programming

Autoři: Giacometto Torres, Francisco Javier

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica

Thesis Advisors: Romeral Martínez, José Luis

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Energy management, Machine learning, Knowledge discovery algorithms, Short time load forecasting, Ensemble learning, Àrees temàtiques de la UPC::Enginyeria electrònica

Time: 621.3

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/457631
https://dx.doi.org/10.5821/dissertation-2117-111507

Post-earthquake functional recovery and resilience of seismically isolated hospitals and large-scale building portfolios

Autoři: Chavez Aguirre, Jean Piers Nicolas

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental

Thesis Advisors: López Almansa, Francisco, Murcia Delso, Juan

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Functional recovery, Earthquake engineering, Resilience, Artificial intelligence, Seismic isolation, Multi-objective optimization, Clustering, Probabilistic analysis, Machine learning, Hospital, Large-scale models, Àrees temàtiques de la UPC::Enginyeria civil, Àrees temàtiques de la UPC::Edificació, 624 - Enginyeria civil i de la construcció en general, 69 - Materials de construcció. Pràctiques i procediments de construcció

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/695609
https://dx.doi.org/10.5821/dissertation-2117-444813

Advances towards a robust AI-based glioma grading system

Autoři: Pitarch i Abaigar, Carla

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament de Ciències de la Computació

Thesis Advisors: Vellido Alcacena, Alfredo, Ribas Ripoll, Vicente Jorge

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: glioma grading, artificial intelligence, deep learning, magnetic resonance imaging, neuro-oncology, model robustness, reliable AI, data preprocessing, medical image analysis, Àrees temàtiques de la UPC::Informàtica, Àrees temàtiques de la UPC::Enginyeria biomèdica, 004 - Informàtica, 616.8 - Neurologia. Neuropatologia.Sistema nerviós

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/694181
https://dx.doi.org/10.5821/dissertation-2117-427440

Clinical-oriented tacrolimus dosing algorithms in kidney transplant based on genetic algorithm and deep forest

Autoři: Jianliang Min Qihao Li Weijie Lai a další

Zdroj: Frontiers in Pharmacology, Vol 16 (2025)

Témata: kidney transplant, tacrolimus, genetic algorithm, deep forest, personalized dosing, machine learning, Therapeutics. Pharmacology, RM1-950

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphar.2025.1656197/full; https://doaj.org/toc/1663-9812

Přístupová URL adresa: https://doaj.org/article/3384d62b8cc743daa4d3cec51c871063

Comparison of Tree‐Based Machine Learning Algorithms for Classification of Livestock Breeds Based On Post‐Thaw Spermatological Parameters.

Autoři: Özen, Doğukan Özen, Hülya Gül, Elif Bersu a další

Zdroj: Veterinary Medicine & Science. Sep2025, Vol. 11 Issue 5, p1-10. 10p.

Témata: Livestock breeds, Machine learning, Semen analysis, CART algorithms, Classification, Cattle breeds

Unravelling the Role of Long Noncoding RNAs in the Context of Cell-growth and Regeneration

Autoři: Amador Rios, Raziel

Přispěvatelé: University/Department: Universitat de Barcelona. Departament de Genètica

Thesis Advisors: Corominas, Montserrat (Montserrat Guiu), Guigó Serra, Roderic

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Genètica, Genética, Genetics, RNA, ARN, Aprenentatge automàtic, Aprendizaje automático, Machine learning, Regeneració (Biologia), Regeneración (Biología), Regeneration (Biology), Ciències Experimentals i Matemàtiques

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/675988

Exploring genomic datasets through machine learning methods leveraging high-performance computing

Autoři: Gómez Sánchez, Gonzalo

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Berral García, Josep Lluís, Carrera Pérez, David

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Àrees temàtiques de la UPC::Informàtica

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/693566
https://dx.doi.org/10.5821/dissertation-2117-424249

Innovative application of deep learning and genetic algorithm based on biomechanics in enterprise economics and audit management.

Autoři: Quan, Mingyue

Zdroj: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 3, p1-13, 13p

Témata: DEEP learning, GENETIC algorithms, RESOURCE allocation, BIOMECHANICS, ORGANIZATIONAL resilience, AUDITING, MANAGERIAL economics, DECISION making

Development of an Artificial Intelligence Algorithm to Detect Pathological Repolarization Disorders on the ECG and the Risk of Ventricular Arrhythmias (DEEPECG4U)

Autoři: UMMISCO - Institute of Research for Development (IRD)

Zdroj: Development of an Artificial Intelligence Algorithm to Detect Pathological Repolarization Disorders on the ECG and the Risk of Ventricular Arrhythmias

New Challenges in Learning Classifier Systems: Mining Rarities and Evolving Fuzzy Models

Autoři: Orriols Puig, Albert

Přispěvatelé: University/Department: Universitat Ramon Llull. EALS - Informàtica

Thesis Advisors: Bernardó Mansilla, Ester

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: fuzzy models, the class imbalance problem, machine learning, modelos difusos, genetic algorithms, learning classifier systems, problema del desbalanceo de clases, algoritmos genéticos, sistemas clasificadores, aprendizaje automático, problema del desbalanceig de classes, models difusos, aprenentatge automàtic, sistemes classificadors, algorismes genètics, Les Tecnologies de la informació i les comunicacions i la seva gestió

Popis souboru: application/pdf

Přístupová URL adresa: http://www.tdx.cat/TDX-1229108-105809
http://hdl.handle.net/10803/9159

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

Autoři: Roberto H. Q. Filho Rodrigo P. M. Ruiz Eisenhawer de M. Fernandes a další

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

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/6c56a7560bc842d9bdb3e0500d21d3ae

Computational studies in glycobiological chemistry

Autoři: Fernández-Luengo Flores, Xavier

Thesis Advisors: Masgrau i Fontanet, Laura, Marechal , Jean Didier Pierre

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Modelatge molecular, Molecular modeling, Modelaje molecular, Glicobiologia, Glycobiology, Glicobiología, Desenvolupament de software, Software development, Desarrollo de software, Ciències Experimentals

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/693204

Bio-inspired resource allocation optimization using evolution-based genetic algorithm for vocational education skill development: A natural selection approach.

Autoři: Meng, Qiang Li, Zheng

Zdroj: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 5, p1-23, 23p

Témata: RESOURCE allocation, VOCATIONAL education, EFFECTIVE teaching, MULTI-objective optimization, GENETIC algorithms, TALENT development

A Genetic Algorithm Based Optimized Convolutional Neural Network for Face Recognition

Autoři: Karlupia Namrata Mahajan Palak Abrol Pawanesh a další

Zdroj: International Journal of Applied Mathematics and Computer Science, Vol 33, Iss 1, Pp 21-31 (2023)

Témata: convolutional neural network, hyperparameters, genetic algorithm, deep learning, evolutionary techniques, Mathematics, QA1-939, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2083-8492

Přístupová URL adresa: https://doaj.org/article/79aa36d3529e406abd17187190e874ec

Genetic Algorithm based hyperparameter tuned CNN for identifying IoT intrusions.

Autoři: R., Alexander K., Pradeep Mohan Kumar

Zdroj: KSII Transactions on Internet & Information Systems. Mar2024, Vol. 18 Issue 3, p755-778. 24p.

Témata: Genetic algorithms, Convolutional neural networks, Machine learning, Intrusion detection systems (Computer security), Deep learning, Internet of things

GA-RISE: Posthoc Model Agnostic Explanations of Black-Box Classifiers Using Genetic Algorithm-Based Optimized Masks — A Case Study on Chest X-ray Images.

Autoři: Kuiry, Somenath Guha, Dibyasree Das, Alaka a další

Zdroj: International Journal on Artificial Intelligence Tools. Feb2025, Vol. 34 Issue 1, p1-23. 23p.

Témata: X-ray imaging, IMAGE analysis, RANDOM numbers, COMPUTER-assisted image analysis (Medicine), DIAGNOSTIC imaging

Development of PI-ML Algorithm for Prediction of the Real-time Risk for Developing Pre-diabetes (PRAESIIDIUM)

Autoři: Spindox Labs The National Research Council, Italy The Institute of Electronics and Computer Sciences, Latvia a další

Přispěvatelé: Spindox Labs The National Research Council, Italy The Institute of Electronics and Computer Sciences, Latvia a další

Zdroj: Physics Informed Machine Learning-based Prediction and Reversion of Impaired Fasting Glucose Management
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Underwater Modulation Classification Using Discrete Wavelet Transform and Genetic Algorithm

Autoři: Ali Çimen Erdoğan Aldemir Timur Düzenli

Zdroj: International Journal of Pioneering Technology and Engineering, Vol 4, Iss 01, Pp 43-49 (2025)

Témata: underwater wireless optical communication, discrete wavelet transform, genetic algorithm, automatic modulation classification, feature selection, Engineering (General). Civil engineering (General), TA1-2040

Popis souboru: electronic resource

Relation: https://ijpte.com/index.php/ijpte/article/view/124; https://doaj.org/toc/2822-454X

Přístupová URL adresa: https://doaj.org/article/9050c2dffe054e9aacd31305c6bccc8c

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

Autoři: Bianco, Rachele Coluccia, Sergio Marinoni, Michela a další

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

Genetic algorithm based deep learning model adaptation for improvising the motor imagery classification.

Autoři: R, Vishnupriya Robinson, Neethu M, Ramasubba Reddy

Zdroj: Brain-Computer Interfaces; Jun-Sep2024, Vol. 11 Issue 3, p98-109, 12p

Témata: CONVOLUTIONAL neural networks, BRAIN-computer interfaces, MOTOR imagery (Cognition), DEEP learning, GENETIC algorithms