2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) PDF Download
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Author:
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ISBN: 9781665405218
Category :
Languages : en
Pages : 0
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Book Description
Author:
Publisher:
ISBN: 9781665405218
Category :
Languages : en
Pages : 0
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Book Description
Author: Rabindra Nath Shaw
Publisher: Springer Nature
ISBN: 9819719615
Category :
Languages : en
Pages : 649
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Book Description
Author: K. Reddy Madhavi
Publisher: Springer Nature
ISBN: 9464634715
Category : Electronic books
Languages : en
Pages : 1527
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Book Description
Author: Rajest, S. Suman
Publisher: IGI Global
ISBN: 1668491915
Category : Computers
Languages : en
Pages : 383
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Book Description
Establishing the means to improve performance in healthy, clinical, and military populations has long been a focus of study in the psychological and brain sciences. However, a major obstacle to this goal is generating individualized performance phenotypes that allow for the design of interventions that are tailored to the specific needs of the individual. Recent developments in artificial intelligence (AI) have qualified for the development of precision approaches that consider individual differences, allowing, for example, the establishment of individualized training, preparation, and recuperation programs optimal for an individual’s cognitive and biological phenotype. Corollary developments in AI have proven that combining domain expertise and stakeholder insights can considerably improve AI’s quality, performance, and dependability in the psychology and brain sciences. Recent Developments in Machine and Human Intelligence studies original empirical work, literature reviews, and methodological papers that establish and validate precision AI methods for human performance optimization with a focus on modeling individual differences via state-of-the-art computational methods and investigating how domain expertise and human judgment can improve the performance of AI methods. The topics are crafted in such a way as to cover all the areas of artificial and human intelligence that require AI for further development. This book contains algorithms and techniques that are explained with the help of developed source code and encompasses the readiness and needs for advancements in managing yet another pandemic in the future. It is designed for academicians, scientists, research scholars, professors, graduates, undergraduates, and students.
Author: Sandeep Saxena
Publisher: Springer Nature
ISBN: 9811915857
Category : Technology & Engineering
Languages : en
Pages : 299
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Book Description
This book covers major areas of device and data security and privacy related to the Internet of Things (IoT). It also provides an overview of light-weight protocols and cryptographic mechanisms to achieve security and privacy in IoT applications. Besides, the book also discusses intrusion detection and firewall mechanisms for IoT. The book also covers topics related to embedded security mechanisms and presents suitable malware detection techniques for IoT. The book also contains a unique presentation on heterogeneous device and data management in IoT applications and showcases the major communication-level attacks and defense mechanisms related to IoT.
Author: Kumar, D. Satish
Publisher: IGI Global
ISBN: 1668489767
Category : Computers
Languages : en
Pages : 386
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Book Description
Artificial intelligence models are being used to make labor and delivery safer for mothers and newborns. Sensors are exploited to gauge health parameters, and machine learning techniques are investigated to predict the health conditions of patients to assist medical practitioners. This is a critical area of study as maternal and infant health are indispensable for a healthy society. Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning considers the recent advances, challenges, and best practices of artificial intelligence and machine learning in relation to pregnancy complications. Covering key topics such as pregnancy complications, wearable sensors, and healthcare technologies, this premier reference source is ideal for nurses, doctors, computer scientists, medical professionals, industry professionals, researchers, academicians, scholars, instructors, and students.
Author: Holland, Barbara
Publisher: IGI Global
ISBN: 1668476940
Category : Language Arts & Disciplines
Languages : en
Pages : 409
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Book Description
In the past twenty years, contactless technology has been helping us to conduct transactions quickly, easily, and securely. Contactless is here to stay, and it is expected to grow and become even more widely used in the coming years. The COVID-19 pandemic changed the way we work, travel, and connect with family and friends, and it simultaneously revolutionized the way we conduct business and everyday transactions. As technology changes daily, libraries have continued to upgrade. The Handbook of Research on Advancements of Contactless Technology and Service Innovation in Library and Information Science provides the reader with a variety of emerging trends concerning contactless technology in libraries, information centers, and other enterprises. This book offers chapters on emerging research, surveys, and technology. Covering topics such as digital libraries, metaverse, and security challenges, this major reference work is an essential resource for librarians, information professionals, administrators, students and educators of higher education, researchers, and academicians.
Author: Prasenjit Dey
Publisher: CRC Press
ISBN: 1040031854
Category : Computers
Languages : en
Pages : 242
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Book Description
The Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., an accelerometer, electrocardiography, and electroencephalography. This text presents both theoretical and practical concepts related to the application of machine learning and Internet of Things (IoT) algorithms in analyzing data generated through healthcare systems. Illustrates the latest technologies in the healthcare domain and the Internet of Things infrastructure for storing smart electronic health records Focuses on the importance of machine learning algorithms and the significance of Internet of Things infrastructure for healthcare systems Showcases the application of fog computing architecture and edge computing in novel aspects of modern healthcare services Discusses unsupervised genetic algorithm-based automatic heart disease prediction Covers Internet of Things–based hardware mechanisms and machine learning algorithms to predict the stress level of patients The text is primarily written for graduate students and academic researchers in the fields of computer science and engineering, biomedical engineering, electrical engineering, and information technology.
Author: P. P. Joby
Publisher: Springer Nature
ISBN: 9819965861
Category : Technology & Engineering
Languages : en
Pages : 787
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Book Description
This book gathers selected papers presented at International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS 2023), organized by School of Computer Science and Engineering, REVA University, Bengaluru, India, during June 21–22, 2023. The book covers state-of-the-art research insights on Internet of things (IoT) paradigm to access, manage, and control the objects/things/people working under various information systems and deployed under wide range of applications like smart cities, healthcare, industries, and smart homes.
Author: Sharma, Avinash Kumar
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 327
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Book Description
Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient outcomes. Future of AI in Medical Imaging, stands as a solution to the challenges faced by academic scholars in the realm of medical imaging. The book lays a solid groundwork for understanding the complexities of medical imaging systems. Through an exploration of various imaging modalities, it not only addresses the current issues but also serves as a guide for scholars to navigate the landscape of AI-integrated medical diagnostics. This collaborative effort not only illuminates the existing hurdles of medical imaging but also looks towards a future where AI-driven diagnostics and personalized medicine become indispensable tools, significantly elevating patient outcomes.
