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Author: Preeti Nagrath
Publisher: CRC Press
ISBN: 100086443X
Category : Computers
Languages : en
Pages : 199
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Book Description
This book discusses the applications and optimization of emerging smart technologies in the field of healthcare. It further explains different modeling scenarios of the latest technologies in the healthcare system and compares the results to better understand the nature and progress of diseases in the human body, which would ultimately lead to early diagnosis and better treatment and cure of diseases with the help of distributed technology. Covers the implementation models using technologies such as artificial intelligence, machine learning, and deep learning with distributed systems for better diagnosis and treatment of diseases. Gives in-depth review of technological advancements like advanced sensing technologies such as plasmonic sensors, usage of RFIDs, and electronic diagnostic tools in the field of healthcare engineering. Discusses possibilities of augmented reality and virtual reality interventions for providing unique solutions in medical science, clinical research, psychology, and neurological disorders. Highlights the future challenges and risks involved in the application of smart technologies such as cloud computing, fog computing, IOT, and distributed computing in healthcare. Confers to utilize the AI and ML and associated aids in healthcare sectors in the post-Covid 19 period to revitalize the medical setup. Contributions included in the book will motivate technological developers and researchers to develop new algorithms and protocols in the healthcare field. It will serve as a vast platform for gaining knowledge regarding healthcare delivery, health- care management, healthcare in governance, and health monitoring approaches using distributed environments. It will serve as an ideal reference text for graduate students and researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical fields.
Author: Preeti Nagrath
Publisher: CRC Press
ISBN: 100086443X
Category : Computers
Languages : en
Pages : 199
Get Book Here
Book Description
This book discusses the applications and optimization of emerging smart technologies in the field of healthcare. It further explains different modeling scenarios of the latest technologies in the healthcare system and compares the results to better understand the nature and progress of diseases in the human body, which would ultimately lead to early diagnosis and better treatment and cure of diseases with the help of distributed technology. Covers the implementation models using technologies such as artificial intelligence, machine learning, and deep learning with distributed systems for better diagnosis and treatment of diseases. Gives in-depth review of technological advancements like advanced sensing technologies such as plasmonic sensors, usage of RFIDs, and electronic diagnostic tools in the field of healthcare engineering. Discusses possibilities of augmented reality and virtual reality interventions for providing unique solutions in medical science, clinical research, psychology, and neurological disorders. Highlights the future challenges and risks involved in the application of smart technologies such as cloud computing, fog computing, IOT, and distributed computing in healthcare. Confers to utilize the AI and ML and associated aids in healthcare sectors in the post-Covid 19 period to revitalize the medical setup. Contributions included in the book will motivate technological developers and researchers to develop new algorithms and protocols in the healthcare field. It will serve as a vast platform for gaining knowledge regarding healthcare delivery, health- care management, healthcare in governance, and health monitoring approaches using distributed environments. It will serve as an ideal reference text for graduate students and researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical fields.
Author: Preeti Nagrath
Publisher: Explainable AI XAI for Engineering Applications
ISBN: 9781032183473
Category :
Languages : en
Pages : 0
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Book Description
The text covers applications, algorithms, and tools of distributed information processing in the healthcare sector. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.
Author: Kumar, Ashish
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 351
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Book Description
AI-Assisted Special Education for Students With Exceptional Needs is a comprehensive and insightful exploration of the intersection between special education and artificial intelligence (AI). This book delves into the fundamental principles, historical background, and current challenges faced in providing effective education to students with special needs. It compares traditional education methods with special education practices and highlights the limitations of conventional classrooms in addressing the diverse learning difficulties of exceptional students. The book also explores the impact of AI-based special education on both educators and students, providing valuable insights and strategies for stakeholders to adopt and implement these technologies effectively. Legal aspects surrounding the right to education for disabled individuals are discussed, ensuring a comprehensive understanding of the legal framework supporting special education initiatives. Real-world case studies and success stories serve as inspiration, illustrating the transformative potential of AI in special education. Featuring contributions from academicians and professionals from esteemed organizations, this book provides hands-on chapters that cover topics such as research challenges, data analysis, machine learning, intelligent learning environments, IoT wearable devices, comprehensive systems with intelligent teacher assistance, parental and societal roles, and the prospects of AI-assisted special education. Whether educator, mentor, training professional, researcher, or student, AI-Assisted Special Education for Students With Exceptional Needs offers a wealth of knowledge and practical insights.
Author: Rajkumar Viral
Publisher: CRC Press
ISBN: 1003828027
Category : Computers
Languages : en
Pages : 220
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Book Description
The text comprehensively discusses smart grid operations and the use of big data analytics in overcoming the existing challenges. It covers smart power generation, transmission, and distribution, explains energy management systems, artificial intelligence, and machine learning–based computing. •Presents a detailed state-of-the-art analysis of big data analytics and its uses in power grids. • Describes how the big data analytics framework has been used to display energy in two scenarios including a single house and a smart grid with thousands of smart meters. •Explores the role of the internet of things, artificial intelligence, and machine learning in smart grids. • Discusses edge analytics for integration of generation technologies, and decision-making approaches in detail. • Examines research limitations and presents recommendations for further research to incorporate big data analytics into power system design and operational frameworks. The text presents a comprehensive study and assessment of the state-of-the-art research and development related to the unique needs of electrical utility grids, including operational technology, storage, processing, and communication systems. It further discusses important topics such as complex adaptive power system, self-healing power system, smart transmission, and distribution networks, and smart metering infrastructure. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology.
Author: Talukder, Mohammad Badruddoza
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 800
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Book Description
In the age of artificial intelligence (AI), hotel and travel management are undergoing transformations to revolutionize guest experiences, make operations efficient, and improve industry standards. AI technologies redefine how hotels and travel companies personalize customer interactions, streamline operations, and optimize revenue management. From tools like chatbots and virtual assistants to predictive analytics, AI enables increased efficiency and customization. As AI continues to evolve, questions must be raised about data privacy, ethical use or algorithms, and the roles of hospitality workers as technology becomes pivotal. Hotel and Travel Management in the AI Era explores the intersection of AI and hotel and travel management, showcasing its potential for innovation and the challenges it presents for workers in the hospitality industry. It posits effective solutions for managing technology integration in an industry where the human aspect of management is pivotal. This book covers topics such as virtual and augmented reality, smart technology, and risk management, and is a useful resource for hospitality and tourism professionals, security workers, computer engineers, business owners, sociologists, researchers, and academicians.
Author: Om Prakash Jena
Publisher: CRC Press
ISBN: 100098365X
Category : Technology & Engineering
Languages : en
Pages : 287
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Book Description
The text presents concepts of explainable artificial intelligence (XAI) in solving real world biomedical and healthcare problems. It will serve as an ideal reference text for graduate students and academic researchers in diverse fields of engineering including electrical, electronics and communication, computer, and biomedical. Presents explainable artificial intelligence (XAI) based machine analytics and deep learning in medical science. Discusses explainable artificial intelligence (XA)I with the Internet of Medical Things (IoMT) for healthcare applications. Covers algorithms, tools, and frameworks for explainable artificial intelligence on medical data. Explores the concepts of natural language processing and explainable artificial intelligence (XAI) on medical data processing. Discusses machine learning and deep learning scalability models in healthcare systems. This text focuses on data driven analysis and processing of advanced methods and techniques with the help of explainable artificial intelligence (XAI) algorithms. It covers machine learning, Internet of Things (IoT), and deep learning algorithms based on XAI techniques for medical data analysis and processing. The text will present different dimensions of XAI based computational intelligence applications. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.
Author: Mohiuddin Ahmed
Publisher: CRC Press
ISBN: 1040267009
Category : Computers
Languages : en
Pages : 312
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Book Description
Ransomware is a type of malicious software that prevents victims from accessing their computers and the information they have stored. Typically, victims are required to pay a ransom, usually using cryptocurrency, such as Bitcoin, to regain access. Ransomware attacks pose a significant threat to national security, and there has been a substantial increase in such attacks in the post-Covid era. In response to these threats, large enterprises have begun implementing better cybersecurity practices, such as deploying data loss prevention mechanisms and improving backup strategies. However, cybercriminals have developed a hybrid variant called Ransomware 2.0. In this variation, sensitive data is stolen before being encrypted, allowing cybercriminals to publicly release the information if the ransom is not paid. Cybercriminals also take advantage of cryptocurrency’s anonymity and untraceability. Ransomware 3.0 is an emerging threat in which cybercriminals target critical infrastructures and tamper with the data stored on computing devices. Unlike in traditional ransomware attacks, cybercriminals are more interested in the actual data on the victims’ devices, particularly from critical enterprises such as government, healthcare, education, defense, and utility providers. State-based cyber actors are more interested in disrupting critical infrastructures rather than seeking financial benefits via cryptocurrency. Additionally, these sophisticated cyber actors are also interested in obtaining trade secrets and gathering confidential information. It is worth noting that the misinformation caused by ransomware attacks can severely impact critical infrastructures and can serve as a primary weapon in information warfare in today’s age. In recent events, Russia’s invasion of Ukraine led to several countries retaliating against Russia. A ransomware group threatened cyber-attacks on the critical infrastructure of these countries. Experts warned that this could be the most widespread ransomware gang globally and is linked to a trend of Russian hackers supporting the Kremlin’s ideology. Ensuring cyber safety from ransomware attacks has become a national security priority for many nations across the world. The evolving variants of ransomware attacks present a wider and more challenging threat landscape, highlighting the need for collaborative work throughout the entire cyber ecosystem value chain. In response to this evolving threat, a book addressing the challenges associated with ransomware is very timely. This book aims to provide a comprehensive overview of the evolution, trends, techniques, impact on critical infrastructures and national security, countermeasures, and open research directions in this area. It will serve as a valuable source of knowledge on the topic.
Author: Imen Jemili
Publisher: Springer Nature
ISBN: 3030990044
Category : Computers
Languages : en
Pages : 137
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Book Description
This book constitutes the refereed proceedings of the Third International Workshop on Distributed Computing for Emerging Smart Networks, DiCES-N 2022, held in Bizerte, Tunisia, in February 2022. Due to the COVID-19 pandemic the conference was held online. The 5 full papers included in this volume were carefully reviewed and selected from 14 submissions. The volume also presents one invited paper. The papers are organized in topical sections on emerging networks and communications; cyber security of connected objects.
Author: Sonali Vyas
Publisher: Springer Nature
ISBN: 981164201X
Category : Medical
Languages : en
Pages : 131
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Book Description
The upcoming trends in healthcare are intended towards improving the overall quality of life. In the past,management of health issues were limited to clinics and hospitals and managing patient’s data and analyzing it. This procedure was difficult and time consuming. A great effort was also needed in diagnosing the cause and type of disease, but this all has changed now. As advancement in research and technologies, a positive impact on healthcare is seen. This book assesses the need and era of smart healthcare and delivers content relevant to current age and time. It describes the trend, usage and practicality of IWMDs i.e. Wearable Medical Device or Sensors (WMSs) and Implantable Medical Devices (IMDs) and how they enhance the awareness of daily healthcare.It establishes a relation and conjunction of daily healthcare monitoring with clinical healthcare. A healthcare system is called smart when there is an ability to make decisions, which comes from data analytics. Smart healthcare systems possess capability of data analytics and IoT based services which can be implemented on smart phones using cloud technology. This book discusses various research trends and technologies related to innovations and advancements for smart healthcare systems. It also elaborates challenges, scope upcoming techniques, devices and future directions for smart healthcare systems.The proposed book would in particular benefit researchers interested in interdisciplinary sciences, It would also be of value to faculty, research communities, and researchers from diverse disciplines who aspire to create new and innovative research initiatives.
Author: Samee U. Khan
Publisher: Springer
ISBN: 3319582801
Category : Computers
Languages : en
Pages : 630
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Book Description
This volume offers readers various perspectives and visions for cutting-edge research in ubiquitous healthcare. The topics emphasize large-scale architectures and high performance solutions for smart healthcare, healthcare monitoring using large-scale computing techniques, Internet of Things (IoT) and big data analytics for healthcare, Fog Computing, mobile health, large-scale medical data mining, advanced machine learning methods for mining multidimensional sensor data, smart homes, and resource allocation methods for the BANs. The book contains high quality chapters contributed by leading international researchers working in domains, such as e-Health, pervasive and context-aware computing, cloud, grid, cluster, and big-data computing. We are optimistic that the topics included in this book will provide a multidisciplinary research platform to the researchers, practitioners, and students from biomedical engineering, health informatics, computer science, and computer engineering.
