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Long-Term Structural Health Monitoring by Remote Sensing and Advanced Machine Learning

Posted By: AvaxGenius
Long-Term Structural Health Monitoring by Remote Sensing and Advanced Machine Learning

Long-Term Structural Health Monitoring by Remote Sensing and Advanced Machine Learning: A Practical Strategy via Structural Displacements from Synthetic Aperture Radar Images by Alireza Entezami , Bahareh Behkamal , Carlo De Michele
English | PDF EPUB (True) | 2024 | 123 Pages | ISBN : 303153994X | 39.1 MB

This book offers an in-depth investigation into the complexities of long-term structural health monitoring (SHM) in civil structures, specifically focusing on the challenges posed by small data and environmental and operational changes (EOCs). Traditional contact-based sensor networks in SHM produce large amounts of data, complicating big data management. In contrast, synthetic aperture radar (SAR)-aided SHM often faces challenges with small datasets and limited displacement data. Additionally, EOCs can mimic the structural damage, resulting in false errors that can critically affect economic and safety issues. Addressing these challenges, this book introduces seven advanced unsupervised learning methods for SHM, combining AI, data sampling, and statistical analysis. These include techniques for managing datasets and addressing EOCs.

Metaheuristics in Machine Learning: Theory and Applications (Repost)

Posted By: AvaxGenius
Metaheuristics in Machine Learning: Theory and Applications (Repost)

Metaheuristics in Machine Learning: Theory and Applications by Diego Oliva
English | EPUB | 2021 | 765 Pages | ISBN : 3030705412 | 110.7 MB

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.

Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 (Reopst)

Posted By: AvaxGenius
Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 (Reopst)

Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 by Aboul-Ella Hassanien
English | EPUB | 2021 | 1144 Pages | ISBN : 3030697169 | 134.2 MB

This book presents the refereed proceedings of the 6th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2021) held in Cairo, Egypt, during March 22–24, 2021, and organized by the Scientific Research Group of Egypt (SRGE). The papers cover current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep Learning Technology, Sentiment analysis, Cyber-Physical System, Health Informatics, Data Mining, Power and Control Systems, Business Intelligence, Social media, Control Design, and Smart Systems.

Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 (Repost)

Posted By: AvaxGenius
Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 (Repost)

Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 by Aboul-Ella Hassanien
English | PDF | 2021 | 1144 Pages | ISBN : 3030697169 | 122.7 MB

This book presents the refereed proceedings of the 6th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2021) held in Cairo, Egypt, during March 22–24, 2021, and organized by the Scientific Research Group of Egypt (SRGE).
The papers cover current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep Learning Technology, Sentiment analysis, Cyber-Physical System, Health Informatics, Data Mining, Power and Control Systems, Business Intelligence, Social media, Control Design, and Smart Systems.

Advanced Machine Learning and Deep Learning Approaches for Remote Sensing

Posted By: AvaxGenius
Advanced Machine Learning and Deep Learning Approaches for Remote Sensing

Advanced Machine Learning and Deep Learning Approaches for Remote Sensing by Gwanggil Jeon
English | PDF | 2023 | 364 Pages | ISBN : 303657946X | 77.8 MB

This reprint provides research on how technologies such as artificial intelligence-based machine learning and deep learning can be applied to remote sensing. Through this, we can see the process of solving the existing problems of image and image signal processing for remote sensing. These techniques are computationally intensive and require the help of high-performance computing devices. With the development of devices such as GPUs, remote sensing technology, and aerial sensing technology, it is possible to monitor the Earth with high-resolution images and to obtain vast amounts of Earth observation data. The papers published in this reprint describe recent advances in big data processing and artificial intelligence-based technologies for remote sensing technology.

Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 (Reopst)

Posted By: AvaxGenius
Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 (Reopst)

Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 by Aboul-Ella Hassanien
English | EPUB | 2021 | 1144 Pages | ISBN : 3030697169 | 134.2 MB

This book presents the refereed proceedings of the 6th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2021) held in Cairo, Egypt, during March 22–24, 2021, and organized by the Scientific Research Group of Egypt (SRGE).
The papers cover current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep Learning Technology, Sentiment analysis, Cyber-Physical System, Health Informatics, Data Mining, Power and Control Systems, Business Intelligence, Social media, Control Design, and Smart Systems.

Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications (Repost)

Posted By: AvaxGenius
Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications (Repost)

Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications by Janmenjoy Nayak, Margarita N. Favorskaya, Seema Jain, Bighnaraj Naik, Manohar Mishra
English | PDF (True) | 2021 | 461 Pages | ISBN : 303071974X | 20.9 MB

This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.

Metaheuristics in Machine Learning: Theory and Applications (Repost)

Posted By: AvaxGenius
Metaheuristics in Machine Learning: Theory and Applications (Repost)

Metaheuristics in Machine Learning: Theory and Applications by Diego Oliva
English | EPUB | 2021 | 765 Pages | ISBN : 3030705412 | 110.7 MB

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.

Metaheuristics in Machine Learning: Theory and Applications (Repost)

Posted By: AvaxGenius
Metaheuristics in Machine Learning: Theory and Applications (Repost)

Metaheuristics in Machine Learning: Theory and Applications by Diego Oliva
English | EPUB | 2021 | 765 Pages | ISBN : 3030705412 | 110.7 MB

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.

Metaheuristics in Machine Learning: Theory and Applications

Posted By: AvaxGenius
Metaheuristics in Machine Learning: Theory and Applications

Metaheuristics in Machine Learning: Theory and Applications by Diego Oliva
English | PDF,EPUB | 2021 | 765 Pages | ISBN : 3030705412 | 130.2 MB

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.