Smart Data Intelligence
Smart Data Intelligence

Author: R. Asokan

Publisher: Springer Nature

Published: 2022-08-17

Total Pages: 589

ISBN-13: 9811933111

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This book presents high-quality research papers presented at 2nd International Conference on Smart Data Intelligence (ICSMDI 2022) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during April 2022. This book brings out the new advances and research results in the fields of algorithmic design, data analysis, and implementation on various real-time applications. It discusses many emerging related fields like big data, data science, artificial intelligence, machine learning, and deep learning which have deployed a paradigm shift in various data-driven approaches that tends to evolve new data-driven research opportunities in various influential domains like social networks, healthcare, information, and communication applications.

Artificial Intelligence and Internet of Things for Smart Agriculture
Artificial Intelligence and Internet of Things for Smart Agriculture

Author: Shanwen Zhang

Publisher: Frontiers Media SA

Published: 2024-10-22

Total Pages: 283

ISBN-13: 2832555535

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Smart agriculture combines modern science and technology with agricultural cultivation, to achieve unmanned, automatic, intelligent management of agricultural production, such as intelligent irrigation, intelligent fertilization, and intelligent spraying. It is the application of artificial intelligence (AI) and Internet of Things (IoTs) in the field of modern agriculture. Agricultural AI (AAI) is the application of various information technologies and their cross-application in the field of agriculture, including intelligent equipment, IoTs, agricultural unmanned aerial vehicle, intelligent perception, deep learning, digital twin network, expert systems, agricultural cognitive computing, etc. With the rapid development of smart agriculture, agricultural applications combined with deep learning are quite common, such as crop disease-pest detection, growth environment monitoring, automatic crop picking, unmanned farm management, etc. Edge computing can provide efficient and reliable new data processing solutions for multi-scenario and complex tasks in agriculture. At present, cloud computing, deep learning and digital twinning have been widely used in agricultural fields, such as plant identification and detection, pest diagnosis and recognition, remote sensing regional classification and monitoring, fruit carrier detection and agricultural product classification, animal identification and posture detection, etc.

Blockchain, IoT, and AI Technologies for Supply Chain Management
Blockchain, IoT, and AI Technologies for Supply Chain Management

Author: Priyanka Chawla

Publisher: CRC Press

Published: 2023-05-05

Total Pages: 374

ISBN-13: 1000855074

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Supply chain management, often known as SCM, refers to the extensive variety of operations that are required to plan, monitor, and coordinate the movement of a product from its raw materials to its finished state in the most time- and money-efficient manner possible. How the supply chain is managed has an impact not only on the quality of the product and the service but also on the distribution, costs, and overall customer experience. Supply chain management is a massive undertaking that needs firms to reevaluate the method in which they operate their supply chains. Blockchain, IoT, and AI Technologies for Supply Chain Management discusses the problems and difficulties that the facilitators of the supply chain confront, in addition to the possible solutions to such problems and difficulties. This book will be the only one of its kind to address the impact of COVID-19 on supply chain systems involving different stakeholders such as producers, dealers, and manufacturers and will provide a foundation for future research opportunities that will allow for the unrestricted expansion and prosperity of business. It will serve as a foundation for academics, scientists, and educationists interested in the use of modern technologies in the field of supply chain management, such as the Internet of Things (IoT), Artificial Intelligence (AI), and Blockchain. In addition to those engaged in research, undergraduate and postgraduate students in higher education can also use this publication as a reference book. This book also presents a multifaceted perspective for the general public, including topics such as computer science, the food business, hotel management, fashion, medical, inventory management, and agricultural spheres.

Algorithms in Advanced Artificial Intelligence
Algorithms in Advanced Artificial Intelligence

Author: R. N. V. Jagan Mohan

Publisher: CRC Press

Published: 2024-07-08

Total Pages: 547

ISBN-13: 104014537X

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The most common form of severe dementia, Alzheimer’s disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNN’s meticulous approach to Alzheimer’s diagnosis. Convolutional neural networks were used in an effort to sense Alzheimer’s disease in its early stages using a big collection of pictures of facial expressions.

Techno-Societal 2022
Techno-Societal 2022

Author: Prashant M. Pawar

Publisher: Springer Nature

Published: 2023-12-20

Total Pages: 898

ISBN-13: 3031346483

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“This two-volume book originates from Techno-Societal 2022, the 4th International Conference on Advanced Technologies for Societal Applications held in Maharashtra, India. The conference brought together faculty members from various engineering colleges and eminent researchers from reputed organizations to solve Indian regional relevant problems. The focus of the Volume-I is on technologies that help develop and improve society, with a particular emphasis on issues such as advanced and sustainable technologies for water, energy, transportation, housing, and sanitation. Additionally, the book covers advances in pharmacy, nutraceuticals, and traditional medicines, as well as chemical and physical processes. The Volume-II covers deployable environment or health care technologies, mechatronics, micro-nano related technologies for bio and societal applications, and advanced assessment of employees and employment sectors. The conference aims to provide a platform for innovators to share their best practices or products developed to solve specific local problems, which in turn may inspire other researchers to solve problems in their own regions. Expert researchers also propose technologies that may find applications in different regions, providing a multidisciplinary platform for researchers from a broad range of disciplines of science, engineering, and technology to report innovations at different levels.”

Proceedings of the International Conference on Cognitive and Intelligent Computing
Proceedings of the International Conference on Cognitive and Intelligent Computing

Author: Amit Kumar

Publisher: Springer Nature

Published: 2022-10-31

Total Pages: 899

ISBN-13: 9811923507

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This book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC – 2021), held on December 11–12, 2021, at Hyderabad, India. The proceedings has cutting edge Research outcome related to Machine learning in control applications, Soft computing, Pattern Recognition, Decision Support Systems, Text analytics and NLP, Statistical Learning, Neural Network Learning, Learning Through Fuzzy Logic, Learning Through Evolution (Evolutionary Algorithms), Reinforcement Learning, Multi-Strategy Learning, Cooperative Learning, Planning And Learning, Multi-Agent Learning, Online And Incremental Learning, Scalability Of Learning Algorithms, Inductive Learning, Inductive Logic Programming, Bayesian Networks, Support Vector Machines, Case-Based Reasoning, Multi-Agent Systems, Human–Computer Interaction, Data Mining and Knowledge Discovery, Knowledge Management and Networks, Data Intensive Computing Architecture, Medicine, Health, Bioinformatics, and Systems Biology, Industrial and Engineering Applications, Security Applications, Smart Cities, Game Playing and Problem Solving, Intelligent Virtual Environments, Economics, Business, And Forecasting Applications. Articles in the book are carefully selected on the basis of their application orientation. The content is expected to be especially useful for Professionals, Researchers, Research students working in the area of cognitive and intelligent computing.