Recent Advances in Management and Engineering

Recent Advances in Management and Engineering
Author :
Publisher : CRC Press
Total Pages : 319
Release :
ISBN-10 : 9781040152065
ISBN-13 : 1040152066
Rating : 4/5 (65 Downloads)

Synopsis Recent Advances in Management and Engineering by : Ilona Paweloszek

It is with great pleasure that I present to you the proceedings of our Recent Advances in Management and Engineering held on November 24 – 27, 2023 in Male. Maldives. This conference represents a milestone in our ongoing journey towards academic excellence where we aspire to become a renowned platform for the exchange of ideas, collaboration, networking, and learning. These proceedings contain contributions that are very amazing in innovations in management. It covers a wide range of issues, ranging from the most recent trends in business to innovations in fundamentals of management. A broad collection of scholars, practitioners, and thought leaders from four continents across the world worked together to produce these results, which are a reflection of their combined efforts.

Recent Advances in Material, Manufacturing, and Machine Learning

Recent Advances in Material, Manufacturing, and Machine Learning
Author :
Publisher : CRC Press
Total Pages : 793
Release :
ISBN-10 : 9781000820812
ISBN-13 : 1000820815
Rating : 4/5 (12 Downloads)

Synopsis Recent Advances in Material, Manufacturing, and Machine Learning by : Rajiv Gupta

The role of manufacturing in a country’s economy and societal development has long been established through their wealth generating capabilities. To enhance and widen our knowledge of materials and to increase innovation and responsiveness to ever-increasing international needs, more in-depth studies of functionally graded materials/tailor-made materials, recent advancements in manufacturing processes and new design philosophies are needed at present. The objective of this volume is to bring together experts from academic institutions, industries and research organizations and professional engineers for sharing of knowledge, expertise and experience in the emerging trends related to design, advanced materials processing and characterization, and advanced manufacturing processes.

Intelligent Robots and Drones for Precision Agriculture

Intelligent Robots and Drones for Precision Agriculture
Author :
Publisher : Springer Nature
Total Pages : 479
Release :
ISBN-10 : 9783031511950
ISBN-13 : 3031511956
Rating : 4/5 (50 Downloads)

Synopsis Intelligent Robots and Drones for Precision Agriculture by : Sundaravadivazhagan Balasubaramanian

Deep Learning for Sustainable Agriculture

Deep Learning for Sustainable Agriculture
Author :
Publisher : Academic Press
Total Pages : 408
Release :
ISBN-10 : 9780323903622
ISBN-13 : 0323903622
Rating : 4/5 (22 Downloads)

Synopsis Deep Learning for Sustainable Agriculture by : Ramesh Chandra Poonia

The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields. The book provides advanced students and professionals in agricultural science and engineering, geography, and geospatial technology science with an in-depth explanation of the relationship between agricultural inference and the decision-support amenities offered by an advanced mathematical evolutionary algorithm. - Introduces new deep learning models developed to address sustainable solutions for issues related to agriculture - Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable agriculture - Illustrates through case studies how deep learning has been used to address a variety of agricultural diseases that are currently on the cutting edge - Delivers an accessible explanation of artificial intelligence algorithms, making it easier for the reader to implement or use them in their own agricultural domain

Advanced Smart Computing Technologies in Cybersecurity and Forensics

Advanced Smart Computing Technologies in Cybersecurity and Forensics
Author :
Publisher : CRC Press
Total Pages : 273
Release :
ISBN-10 : 9781000520613
ISBN-13 : 1000520617
Rating : 4/5 (13 Downloads)

Synopsis Advanced Smart Computing Technologies in Cybersecurity and Forensics by : Keshav Kaushik

This book addresses the topics related to artificial intelligence, the Internet of Things, blockchain technology, and machine learning. It brings together researchers, developers, practitioners, and users interested in cybersecurity and forensics. The first objective is to learn and understand the need for and impact of advanced cybersecurity and forensics and its implementation with multiple smart computational technologies. This objective answers why and how cybersecurity and forensics have evolved as one of the most promising and widely-accepted technologies globally and has widely-accepted applications. The second objective is to learn how to use advanced cybersecurity and forensics practices to answer computational problems where confidentiality, integrity, and availability are essential aspects to handle and answer. This book is structured in such a way so that the field of study is relevant to each reader’s major or interests. It aims to help each reader see the relevance of cybersecurity and forensics to their career or interests. This book intends to encourage researchers to develop novel theories to enrich their scholarly knowledge to achieve sustainable development and foster sustainability. Readers will gain valuable knowledge and insights about smart computing technologies using this exciting book. This book: • Includes detailed applications of cybersecurity and forensics for real-life problems • Addresses the challenges and solutions related to implementing cybersecurity in multiple domains of smart computational technologies • Includes the latest trends and areas of research in cybersecurity and forensics • Offers both quantitative and qualitative assessments of the topics Includes case studies that will be helpful for the researchers Prof. Keshav Kaushik is Assistant Professor in the Department of Systemics, School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India. Dr. Shubham Tayal is Assistant Professor at SR University, Warangal, India. Dr. Akashdeep Bhardwaj is Professor (Cyber Security & Digital Forensics) at the University of Petroleum & Energy Studies (UPES), Dehradun, India. Dr. Manoj Kumar is Assistant Professor (SG) (SoCS) at the University of Petroleum and Energy Studies, Dehradun, India.

Deep Learning Applications, Volume 2

Deep Learning Applications, Volume 2
Author :
Publisher : Springer
Total Pages : 300
Release :
ISBN-10 : 9811567581
ISBN-13 : 9789811567582
Rating : 4/5 (81 Downloads)

Synopsis Deep Learning Applications, Volume 2 by : M. Arif Wani

This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.

Artificial Intelligence and Information Technologies

Artificial Intelligence and Information Technologies
Author :
Publisher : CRC Press
Total Pages : 590
Release :
ISBN-10 : 9781040115985
ISBN-13 : 1040115985
Rating : 4/5 (85 Downloads)

Synopsis Artificial Intelligence and Information Technologies by : Arvind Dagur

This book contains the proceedings of a non-profit conference with the objective of providing a platform for academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad to exchange their research and innovative ideas in the field of Artificial Intelligence and information technologies. It begins with exploring the research and innovation in the field of Artificial Intelligence and information technologies, including secure transaction, monitoring, real time assistance and security for advanced stage learners, researchers and academicians has been presented. It goes on to cover: Broad knowledge and research trends about Artificial Intelligence and information technologies and their role in today’s digital era Depiction of system model and architecture for clear picture of Artificial Intelligence in real life Discussion on the role of Artificial Intelligence in various real-life problems such as banking, healthcare, navigation, communication and security Explanation of the challenges and opportunities in Artificial Intelligence-based healthcare, education, banking and related industries Recent information technologies and challenges in this new epoch This book will be beneficial to researchers, academicians, undergraduate students, postgraduate students, research scholars, professionals, technologists and entrepreneurs.

Deep Learning Applications and Intelligent Decision Making in Engineering

Deep Learning Applications and Intelligent Decision Making in Engineering
Author :
Publisher : IGI Global
Total Pages : 332
Release :
ISBN-10 : 9781799821106
ISBN-13 : 1799821102
Rating : 4/5 (06 Downloads)

Synopsis Deep Learning Applications and Intelligent Decision Making in Engineering by : Senthilnathan, Karthikrajan

Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process. Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.