Suchergebnisse - automatisation machine learning algorithm based on genetic algorithms*

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

Autoren: Giacometto Torres, Francisco Javier

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

Thesis Advisors: Romeral Martínez, José Luis

Quelle: TDX (Tesis Doctorals en Xarxa)

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

Time: 621.3

Dateibeschreibung: application/pdf

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

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

Autoren: Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica Romeral Martínez, José Luis Giacometto Torres, Francisco

Quelle: TDX (Tesis Doctorals en Xarxa)

Index Begriffe: Àrees temàtiques de la UPC::Enginyeria electrònica, Energy management, Machine learning, Knowledge discovery algorithms, Short time load forecasting, Ensemble learning, Aprenentatge automàtic, Algorismes genètics, Doctoral thesis

URL: http://hdl.handle.net/2117/111507
http://hdl.handle.net/10803/457631

Proceedings of the 2025 3rd International Conference on Image, Algorithms, and Artificial Intelligence (ICIAAI 2025)

Autoren: Yanan Sun

Resource Type: eBook.

Categories: COMPUTERS / General

Improving Brain Magnetic Resonance Image (MRI) Segmentation via a Novel Algorithm based on Genetic and Regional Growth.

Autoren: A., Javadpour A., Mohammadi

Quelle: Journal of Biomedical Physics & Engineering; Jun2016, Vol. 6 Issue 2, p95-108, 14p

Schlagwörter: MAGNETIC resonance imaging of the brain, IMAGE segmentation, DIAGNOSIS of brain diseases

MedShapeNet  - a large-scale dataset of 3D medical shapes for computer vision.

Autoren: Li J Zhou Z Yang J et al.

Quelle: Biomedizinische Technik. Biomedical engineering [Biomed Tech (Berl)] 2024 Dec 30; Vol. 70 (1), pp. 71-90. Date of Electronic Publication: 2024 Dec 30 (Print Publication: 2025).

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Walter de Gruyter Publishers Country of Publication: Germany NLM ID: 1262533 Publication Model: Electronic-Print Cited Medium: Internet ISSN: 1862-278X (Electronic) Linking ISSN: 00135585 NLM ISO Abbreviation: Biomed Tech (Berl) Subsets: MEDLINE

MeSH-Schlagworte: Imaging, Three-Dimensional*/methods , Image Processing, Computer-Assisted*/methods, Humans ; Algorithms ; Printing, Three-Dimensional ; Brain Neoplasms/diagnostic imaging

A deep-learning algorithm (AIFORIA) for classification of hematopoietic cells in bone marrow aspirate smears based on nine cell classes—a feasible approach for routine screening?

Autoren: Saft, Leonie Vaara, Emma Ljung, Elin et al.

Quelle: Journal of Hematopathology; 3/29/2025, Vol. 18 Issue 1, p1-12, 12p

A survey of ontology learning techniques and applications

Autoren: Muhammad Nabeel Asim Muhammad Wasim Muhammad Usman Ghani Khan et al.

Quelle: Database (Oxford)

Schlagwörter: FOS: Computer and information sciences, Artificial intelligence, Biomedical Ontologies and Text Mining, QoS-Aware Web Services Composition and Semantic Matching, Review, Epistemology, 02 engineering and technology, Ontology learning, Machine Learning, Suggested Upper Merged Ontology, Artificial Intelligence, Surveys and Questionnaires, Biochemistry, Genetics and Molecular Biology, 0202 electrical engineering, electronic engineering, information engineering, Data Mining, Humans, Industry, Information retrieval, Semantic Web Stack, Molecular Biology, Natural Language Processing, Semantic Web, Ontology engineering, Ontology, Natural language processing, Life Sciences, Linguistics, Semantics (computer science), Open Biomedical Ontologies, Knowledge representation and reasoning, Computer science, Ontology-based data integration, Process ontology, FOS: Philosophy, ethics and religion, Programming language, World Wide Web, Semantic Matching, OWL-S, Philosophy, Databases as Topic, Vocabulary, Controlled, Computer Science, Physical Sciences, Phenotype Ontology, Upper ontology, Semantic Web and Ontology Development, Ontology Inference Layer, Information Systems

Zugangs-URL: https://academic.oup.com/database/article-pdf/doi/10.1093/database/bay101/27329264/bay101.pdf
https://pubmed.ncbi.nlm.nih.gov/30295720
https://dblp.uni-trier.de/db/journals/biodb/biodb2018.html#AsimWKMA18
https://www.mendeley.com/catalogue/46f6a153-d695-332c-8d2d-16be99d68d7e/
https://pubmed.ncbi.nlm.nih.gov/30295720/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173224
https://doi.org/10.1093/database/bay101
https://europepmc.org/article/MED/30295720

Tools and Algorithms for the Construction and Analysis of Systems : 27th International Conference, TACAS 2021, Held As Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021, Luxembourg City, Luxembourg, March 27 – April 1, 2021, Proceedings, Part I

Autoren: Jan Friso Groote Kim Guldstrand Larsen

Resource Type: eBook.

Schlagworte: System analysis--Congresses, Artificial intelligence, System design--Congresses, Computer software--Verification--Congresses

Categories: COMPUTERS / Computer Science, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Hardware / General

Multivariate Statistical Machine Learning Methods for Genomic Prediction

Autoren: Osval Antonio Montesinos López Abelardo Montesinos López José Crossa

Resource Type: eBook.

Schlagworte: Genomics, Agriculture, Biometry, Plant genetics--Statistical methods, Multivariate analysis--Data processing, Machine learning

Categories: TECHNOLOGY & ENGINEERING / Agriculture / General, COMPUTERS / Data Science / Bioinformatics, MEDICAL / Biostatistics, SCIENCE / Life Sciences / Botany, SCIENCE / Life Sciences / Genetics & Genomics

Heuristic Learning Based on Genetic Programming.

Autoren: Frank Schmiedle Nicole Drechsler Daniel Große et al.

Quelle: Genetic Programming & Evolvable Machines; Dec2002, Vol. 3 Issue 4, p363-388, 26p

Deep Learning-Based Post-Processing of Real-Time MRI to Assess and Quantify Dynamic Wrist Movement in Health and Disease.

Autoren: Radke, Karl Ludger Wollschläger, Lena Marie Nebelung, Sven et al.

Quelle: Diagnostics (2075-4418); Jun2021, Vol. 11 Issue 6, p1077-1077, 1p

Schlagwörter: MAGNETIC resonance imaging, LIGAMENT injuries, WRIST, CONVOLUTIONAL neural networks, CARPAL bones, BLAND-Altman plot

Comparison of Machine Learning Algorithms on Noisy Data.

Autoren: Oreski, Dijana Visnjic, Dunja Kadoic, Nikola

Quelle: Central European Conference on Information & Intelligent Systems; 2023, p383-389, 7p

Schlagwörter: MACHINE learning, ARTIFICIAL neural networks

Intelligence artificielle, agents d'aide à la décision et automatisation du laboratoire d'assistance médicale à la procréation : vers un système d'exploitation de la fécondation in vitro. (French)

Autoren: Pollet-Villard, Xavier

Quelle: Médecine de la Reproduction; apr-jun2025, Vol. 27 Issue 2, p162-177, 16p

Schlagwörter: ARTIFICIAL intelligence, FERTILIZATION in vitro, CLINICAL decision support systems, REPRODUCTIVE health, MEDICAL care, INFERTILITY, AUTOMATION

Automatization of CT Annotation: Combining AI Efficiency with Expert Precision.

Autoren: Edelmers, Edgars Kazoka, Dzintra Bolocko, Katrina et al.

Quelle: Diagnostics (2075-4418); Jan2024, Vol. 14 Issue 2, p185, 12p

Schlagwörter: ARTIFICIAL intelligence, SPINE, MACHINE learning, COMPUTER-assisted image analysis (Medicine), DEEP learning

HSM6AP: a high-precision predictor for the Homo sapiens N6-methyladenosine (m^6 A) based on multiple weights and feature stitching.

Autoren: Li, Jing He, Shida Guo, Fei et al.

Quelle: RNA Biology; Nov 2021, Vol. 18 Issue 11, p1882-1892, 11p

Schlagwörter: BOOSTING algorithms, RNA methylation, HUMAN beings, DECISION trees, FEATURE selection, WEIGHT training, RNA modification & restriction

The Democratization of Artificial Intelligence : Net Politics in the Era of Learning Algorithms

Autoren: Andreas Sudmann

Resource Type: eBook.

Schlagworte: Artificial intelligence--Social aspects, Artificial intelligence--Political aspects

Categories: POLITICAL SCIENCE / Political Ideologies / Democracy, SOCIAL SCIENCE / Anthropology / Cultural & Social, LITERARY CRITICISM / Subjects & Themes / Politics

Rapid and Efficient Screening of Helicobacter pylori in Gastric Samples Stained with Warthin–Starry Using Deep Learning.

Autoren: Aneiros-Fernández, José Montero Pavón, Pedro García Gómez, Natalia et al.

Quelle: Diagnostics (2075-4418); May2025, Vol. 15 Issue 9, p1085, 14p

Schlagwörter: DISEASE risk factors, HELICOBACTER pylori, ARTIFICIAL intelligence, TURNAROUND time, DEEP learning

Adaptive multi-phase approach for solving the realistic vehicle routing problems in logistics with innovative comparison method for evaluation based on real GPS data.

Autoren: Žunić, Emir Delalić, Sead Đonko, Dženana

Quelle: Transportation Letters; Mar2022, Vol. 14 Issue 2, p143-156, 14p

Schlagwörter: VEHICLE routing problem, TABU search algorithm, GLOBAL Positioning System, ROUTING algorithms, TRANSPORTATION management system, SUPPLY chain management

Geografische Kategorien: BOSNIA & Herzegovina

Artificial Intelligence in Imaging for Personalized Management of Coronary Artery Disease.

Autoren: Bednarek, Adrian Gumiężna, Karolina Baruś, Piotr et al.

Quelle: Journal of Clinical Medicine; Jan2025, Vol. 14 Issue 2, p462, 13p

Schlagwörter: ARTIFICIAL intelligence, MACHINE learning, CONVOLUTIONAL neural networks, DEEP learning, OPTICAL coherence tomography

All-star approach to a small medical imaging dataset: combined deep, transfer, and classical machine learning approaches for the determination of radial head fractures.

Autoren: Koska, Ozgur I Çilengir, Atilla Hikmet Uluç, Muhsin Engin et al.

Quelle: Acta Radiologica; Apr2023, Vol. 64 Issue 4, p1476-1483, 8p

Schlagwörter: RADIAL head & neck fractures, RADIUS fractures, MACHINE learning, COMPUTER-assisted image analysis (Medicine), DIAGNOSTIC imaging