Výsledky vyhľadávania - "Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models"

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models

Autori: Ulloa, Jorge Garza, Ulloa, Jorge Garza

Témy: book

URL: https://univ.scholarvox.com/book/88930484

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models

Autori: Jorge Garza Ulloa

Typ zdroja: eBook.

Predmet: Artificial intelligence--Biological applications, Artificial intelligence--Medical applications, Biomedical engineering--Computer simulation, Cognitive science, Nervous system--Diseases--Data processing, Nervous system--Diseases--Pathophysiology--Data processing

Kategórie: SCIENCE / Biotechnology, TECHNOLOGY & ENGINEERING / Biomedical

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models & Applied Biomechatronic using Mathematical Models

Autori: Garza-Ulloa, Jorge

Book: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models will help the way from the classical physician and nurse education evolved to the Modern Well-being Era

Autori: Garza-Ulloa, Jorge

Book: Applied Biomedical Engineering Using Artificial Intelligence And Cognitive Models: Chapters highlights

Autori: Garza-Ulloa, Jorge

Book thesis statement: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models

Autori: Garza-Ulloa, Jorge

Assessing the performance of a Trombe wall enhanced with phase change material using deep learning.

Autori: Krechowicz, Adam Krechowicz, Maria Krasoń, Joanna a ďalší

Zdroj: Scientific Reports; 11/28/2025, Vol. 15 Issue 1, p1-24, 24p

Predmety: DEEP learning, PHASE change materials, HEAT storage, LONG short-term memory, CONVOLUTIONAL neural networks, ENERGY management, MACHINE learning

Index

Zdroj: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models ; page 677-683 ; ISBN 9780128207185

Dostupnosť: https://doi.org/10.1016/b978-0-12-820718-5.00018-0
https://api.elsevier.com/content/article/PII:B9780128207185000180?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:B9780128207185000180?httpAccept=text/plain

Foreword

Autori: Garza-Ulloa, Jorge

Zdroj: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models ; page xiii ; ISBN 9780128207185

Dostupnosť: https://doi.org/10.1016/b978-0-12-820718-5.00010-6
https://api.elsevier.com/content/article/PII:B9780128207185000106?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:B9780128207185000106?httpAccept=text/plain

Copyright

Zdroj: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models ; page iv ; ISBN 9780128207185

Dostupnosť: https://doi.org/10.1016/b978-0-12-820718-5.00016-7
https://api.elsevier.com/content/article/PII:B9780128207185000167?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:B9780128207185000167?httpAccept=text/plain

Data-Driven Healthcare: The Role of Computational Methods in Medical Innovation.

Autori: Ponnarengan, Hariharasakthisudhan Rajendran, Sivakumar Khalkar, Vikas a ďalší

Zdroj: Computer Modeling in Engineering & Sciences (CMES); 2025, Vol. 142 Issue 1, p1-48, 48p

Predmety: MEDICAL care, MACHINE learning, MEDICAL sciences, DATA privacy, BIOMEDICAL engineering

Picards iteration method for successive approximation to identify the blood glucose regulation.

Autori: Swaminathan, B. Komahan, G.

Zdroj: AIP Conference Proceedings; 2024, Vol. 3193 Issue 1, p1-8, 8p

Predmety: GLUCOSE tolerance tests, BLOOD sugar, ORDINARY differential equations, GLUCOSE, MATHEMATICAL models

Fake News Detection: Traditional vs. Contemporary Machine Learning Approaches.

Autori: Binay, Aditya Binay, Anisha Register, Jordan

Zdroj: Journal of Information & Knowledge Management; Oct2024, Vol. 23 Issue 5, p1-25, 25p

Predmety: LANGUAGE models, MACHINE learning, FEATURE extraction, FAKE news, SUPPORT vector machines

Diagnosing diabetes mellitus using k-means clustering method with robust centroids initialization based swarm intelligence algorithm.

Autori: Anam, Syaiful Fitriah, Zuraidah Hidayat, Noor a ďalší

Zdroj: AIP Conference Proceedings; 2024, Vol. 3095 Issue 1, p1-7, 7p

Predmety: CENTROID, SWARM intelligence, K-means clustering, PARTICLE swarm optimization, DIABETES, ALGORITHMS

Machine learning techniques for the prediction of polymerization kinetics and polymer properties.

Autori: Ishola, Niyi B. McKenna, Timothy F. L.

Zdroj: Canadian Journal of Chemical Engineering; Jun2024, Vol. 102 Issue 6, p2228-2243, 16p

Predmety: POLYMERIZATION kinetics, POLYMERS, MACHINE learning, STANDARD deviations, LOW density polyethylene

Floating-Point Quantization Analysis of Multi-Layer Perceptron Artificial Neural Networks.

Autori: Al-Rikabi, Hussein Renczes, Balázs

Zdroj: Journal of Signal Processing Systems for Signal, Image & Video Technology; May2024, Vol. 96 Issue 4/5, p301-312, 12p

A comparative study of feature selection and feature extraction methods for financial distress identification.

Autori: Kuizinienė, Dovilė Savickas, Paulius Kunickaitė, Rimantė a ďalší

Zdroj: PeerJ Computer Science; Apr2024, p1-44, 44p

Predmety: FEATURE selection, ARTIFICIAL neural networks, INFORMATION technology, SCIENTIFIC literature, MACHINE learning, FEATURE extraction

Cognitive learning and reasoning models applied to biomedical engineering

Autori: Garza-Ulloa, Jorge

Zdroj: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models ; page 609-676 ; ISBN 9780128207185

Dostupnosť: https://doi.org/10.1016/b978-0-12-820718-5.00005-2
https://api.elsevier.com/content/article/PII:B9780128207185000052?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:B9780128207185000052?httpAccept=text/plain

Artificial Intelligence Models Applied to Biomedical Engineering

Autori: Garza-Ulloa, Jorge

Zdroj: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models ; page 113-173

Dostupnosť: http://dx.doi.org/10.1016/b978-0-12-820718-5.00004-0
https://api.elsevier.com/content/article/PII:B9780128207185000040?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:B9780128207185000040?httpAccept=text/plain