G. Sucharitha, Anjanna Matta, M. Srinivas, Sachi Nandan Mohanty
Sērija : Artificial Intelligence for Sustainable Engineering and Management
(Izdošanas datums: 21-Jan-2025, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781040265468)
This book enables the readers to design, optimize, and control complex systems with greater precision and efficiency. It further provides practical insights and presents case studies for readers interested in exploring the intersections between artif...Lasīt vairāk
G. Sucharitha, Anjanna Matta, M. Srinivas, Sachi Nandan Mohanty
Sērija : Artificial Intelligence for Sustainable Engineering and Management
(Izdošanas datums: 21-Jan-2025, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781040265512)
This book enables the readers to design, optimize, and control complex systems with greater precision and efficiency. It further provides practical insights and presents case studies for readers interested in exploring the intersections between artif...Lasīt vairāk
(Izdošanas datums: 24-Jul-2024, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781040085479)
The focus of this book is to cover the fundamentals, methodological approaches, and diverse applications of smart systems. Smart Systems discusses important topics such as the Internet of Things-enabled smart systems, artificial intelligence, ergonom...Lasīt vairāk
(Izdošanas datums: 24-Jul-2024, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781040085455)
The focus of this book is to cover the fundamentals, methodological approaches, and diverse applications of smart systems. Smart Systems discusses important topics such as the Internet of Things-enabled smart systems, artificial intelligence, ergonom...Lasīt vairāk
(Izdošanas datums: 06-Jun-2024, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781040026595)
The book aims to highlight the potential of deep learning (DL)-enabled methods in intelligent fault diagnosis (IFD), along with their benefits and contributions.The authors first introduce basic applications of DL-enabled IFD, including auto-encoders...Lasīt vairāk
(Izdošanas datums: 06-Jun-2024, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781040026618)
The book aims to highlight the potential of deep learning (DL)-enabled methods in intelligent fault diagnosis (IFD), along with their benefits and contributions.The authors first introduce basic applications of DL-enabled IFD, including auto-encoders...Lasīt vairāk
(Izdošanas datums: 06-Feb-2024, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781003860228)
This book covers unsupervised learning, supervised learning, clustering approaches, feature engineering, explainable AI and multioutput regression models for subsurface engineering problems. Processing voluminous and complex data sets are the primary...Lasīt vairāk
(Izdošanas datums: 06-Feb-2024, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781003860198)
This book covers unsupervised learning, supervised learning, clustering approaches, feature engineering, explainable AI and multioutput regression models for subsurface engineering problems. Processing voluminous and complex data sets are the primary...Lasīt vairāk
The past few years have demonstrated how civil infrastructure continues to experience an unprecedented scale of extreme loading conditions (i.e. hurricanes, wildfires and earthquakes). Despite recent advancements in various civil engineering discipli...Lasīt vairāk
The past few years have demonstrated how civil infrastructure continues to experience an unprecedented scale of extreme loading conditions (i.e. hurricanes, wildfires and earthquakes). Despite recent advancements in various civil engineering discipli...Lasīt vairāk
This book focuses on the application of machine learning in slope stability assessment. The contents include: overview of machine learning approaches, the mainstream smart in-situ monitoring techniques, the applications of the main machine learning a...Lasīt vairāk
This book focuses on the application of machine learning in slope stability assessment. The contents include: overview of machine learning approaches, the mainstream smart in-situ monitoring techniques, the applications of the main machine learning a...Lasīt vairāk
Alaa El Din Mahmoud, Manal Fawzy, Nadeem Ahmad Khan
(Izdošanas datums: 25-Apr-2023, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781000829747)
Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning...Lasīt vairāk
Alaa El Din Mahmoud, Manal Fawzy, Nadeem Ahmad Khan
(Izdošanas datums: 25-Apr-2023, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781000829785)
Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning...Lasīt vairāk
Prasenjit Chatterjee, Morteza Yazdani, Francisco Fernįndez-Navarro, Javier Pérez-Rodrķguez
Sērija : Smart and Intelligent Computing in Engineering
(Izdošanas datums: 28-Feb-2023, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781000642384)
Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data, build models that explain the world, and predict things without...Lasīt vairāk
Prasenjit Chatterjee, Morteza Yazdani, Francisco Fernįndez-Navarro, Javier Pérez-Rodrķguez
Sērija : Smart and Intelligent Computing in Engineering
(Izdošanas datums: 28-Feb-2023, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781000642353)
Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data, build models that explain the world, and predict things without...Lasīt vairāk
This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held as a hybrid event on October 29-30, 2022, in/from Istanbul Technical University. Continu...Lasīt vairāk
This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held as a hybrid event on October 29-30, 2022, in/from Istanbul Technical University. Continu...Lasīt vairāk
This book examines the abilities of new machine learning models for predicting ore grade in mining engineering. A variety of case studies are examined in this book. A motivation for preparing this book was the absence of robust models for estimating...Lasīt vairāk
This book examines the abilities of new machine learning models for predicting ore grade in mining engineering. A variety of case studies are examined in this book. A motivation for preparing this book was the absence of robust models for estimating...Lasīt vairāk
