Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024) PDF Download
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Author: Yulin Wang
Publisher: Springer Nature
ISBN: 9464635126
Category : Electronic books
Languages : en
Pages : 748
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Book Description
Author: Yulin Wang
Publisher: Springer Nature
ISBN: 9464635126
Category : Electronic books
Languages : en
Pages : 748
Get Book Here
Book Description
Author: Kohei Arai
Publisher: Springer Nature
ISBN: 303173128X
Category :
Languages : en
Pages : 655
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Book Description
Author: Amit Kumar
Publisher: Springer Nature
ISBN: 9819780314
Category : Electronic books
Languages : en
Pages : 1249
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Book Description
Author: R. N. V. Jagan Mohan
Publisher: CRC Press
ISBN: 104014537X
Category : Computers
Languages : en
Pages : 547
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Book Description
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.
Author: Shah, Imdad Ali
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 622
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Book Description
Web engineering faces a pressing challenge in keeping pace with the rapidly evolving digital landscape. Developing, designing, testing, and maintaining web-based systems and applications require innovative approaches to meet the growing demands of users and businesses. Generative Artificial Intelligence (AI) emerges as a transformative solution, offering advanced capabilities to enhance web engineering models and methodologies. This book presents a timely exploration of how Generative AI can revolutionize the web engineering discipline, providing insights into future challenges and societal impacts. Generative AI for Web Engineering Models offers a comprehensive examination of integrating AI-driven generative approaches into web engineering practices. It delves into methodologies, models, and the transformative impact of Generative AI on web-based systems and applications. By addressing topics such as web browser technologies, website scalability, security, and the integration of Machine Learning, this book provides a roadmap for researchers, scientists, postgraduate students, and AI enthusiasts interested in the intersection of AI and web engineering.
Author: Anshul Verma
Publisher: Springer Nature
ISBN: 3031640675
Category :
Languages : en
Pages : 400
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Book Description
Author: Samsul Ariffin Abdul Karim
Publisher: CRC Press
ISBN: 1040042619
Category : Computers
Languages : en
Pages : 354
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Book Description
Since 2011, the Fourth Industrial Revolution (IR4.0) has played a significant role in education, research, and industry. Data technologies have also evolved rapidly to cater to the rapidly growing size of the data as well as to enhance the security of the shared data through multiple resources and platforms. Intelligent Systems of Computing and Informatics aims to develop a new Intelligent Systems of Computing and Informatics (ISCI) to cater to the needs of industries in line with the United Nations’ Sustainable Development Goals (SDGs) of affordable and clean energy and sustainable cities and communities. Comprising 20 chapters by experts from all over the world, this book covers such topics as data technologies, machine learning, signal and image processing, software systems efficiency, computer networking, Internet of Things, and computational intelligence for real-life problems. Key Features: Develops a new system for computing and informatics Provides the state of the art of current research and studies in intelligence systems Written by experts in the field of computing and informatics This book is aimed at postgraduate students, researchers working in various research and development (R&D) agencies, and practitioners, as well as scientists that have an interest in ISCI.
Author: Haitham M. Alzoubi
Publisher: Springer Nature
ISBN: 3031318013
Category : Computers
Languages : en
Pages : 582
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Book Description
This book takes a unique approach by exploring the connection between cybersecurity, digitalization, and business intelligence. In today's digital landscape, cybersecurity is a crucial aspect of business operations. Meanwhile, organizations continue to leverage digital technologies for their day-to-day operations. They must be aware of the risks associated with cyber-attacks and implement robust cybersecurity measures to protect their assets. It provides practical insights and solutions to help businesses better understand the impact of cybersecurity on their digitalization and business intelligence strategies. It provides practical insights and solutions for implementing cybersecurity measures in organizations and covers a wide range of topics, including threat intelligence, risk management, compliance, cloud security, and IoT security. The book takes a holistic approach and explores the intersection of cybersecurity, digitalization, and business intelligence and examines the possible challenges and opportunities.
Author: Haitham M. Alzoubi
Publisher: Springer Nature
ISBN: 3031552210
Category :
Languages : en
Pages : 503
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Book Description
Author: Donald L. McCabe
Publisher: JHU Press
ISBN: 1421407167
Category : Education
Languages : en
Pages : 235
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Book Description
Today’s students are tomorrow’s leaders, and the college years are a critical period for their development of ethical standards. Cheating in College explores how and why students cheat and what policies, practices, and participation may be useful in promoting academic integrity and reducing cheating. The authors investigate trends over time, including internet-based cheating. They consider personal and situational explanations, such as the culture of groups in which dishonesty is more common (such as business majors) and social settings that support cheating (such as fraternities and sororities). Faculty and administrators are increasing their efforts to promote academic honesty among students. Orientation and training sessions, information on college and university websites, student handbooks that describe codes of conduct, honor codes, and course syllabi all define cheating and establish the consequences. Based on the authors’ multiyear, multisite surveys, Cheating in College quantifies and analyzes student cheating to demonstrate why academic integrity is important and to describe the cultural efforts that are effective in restoring it. -- Gary Pavela, Syracuse University
