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This volume discusses recent advances in Artificial Intelligence
(AI) applications in smart, internet-connected societies,
highlighting three key focus areas. The first focus is on
intelligent sensing applications. This section details the
integration of Wireless Sensing Networks (WSN) and the use of
intelligent platforms for WSN applications in urban
infrastructures, and discusses AI techniques on hardware and
software systems such as machine learning, pattern recognition,
expert systems, neural networks, genetic algorithms, and
intelligent control in transportation and communications systems.
The second focus is on AI-based Internet of Things (IoT) systems,
which addresses applications in traffic management, medical health,
smart homes and energy. Readers will also learn about how AI can
extract useful information from Big Data in IoT systems. The third
focus is on crowdsourcing (CS) and computing for smart cities. this
section discusses how CS via GPS devices, GIS tools, traffic
cameras, smart cards, smart phones and road deceleration devices
enables citizens to collect and share data to make cities smart,
and how these data can be applied to address urban issues including
pollution, traffic congestion, public safety and increased energy
consumption. This book will of interest to academics, researchers
and students studying AI, cloud computing, IoT and crowdsourcing in
urban applications.
This book aims to provide a detailed understanding of
IoMT-supported applications while engaging premium smart computing
methods and improved algorithms in the field of computer science.
It contains thirteen chapters discussing various applications under
the umbrella of the Internet of Medical Things. These applications
geared towards IoMT cloud analysis, machine learning, computer
vision and deep learning have enabled the evaluation of the
proposed solutions.
This book offers an essential guide to Wireless Sensor Networks,
IoT Security, Image Processing, Secure Information Systems, and
Data Encryption. In addition, it introduces students and aspiring
practitioners to the subject of destination marketing in a
structured manner. It is chiefly intended for researcher students
in the areas of Wireless Sensor Networks and Secure Data
Communication (including image encryption, and intrusion detection
systems), academics at universities and colleges, IT professionals,
policymakers and legislators. Given its content, the book can be
used as a reference text for both undergraduate and graduate
studies, in courses on Wireless Sensor Networks, Secure Image
Processing, and Data Encryption applications. The book is written
in plain and easy-to-follow language and explains each main concept
the first time it appears, helping readers with no prior background
in the field. As such, it is a "must-read" guide to the subject
matter.
Artificial Intelligence Techniques in IoT Sensor Networks is a
technical book which can be read by researchers, academicians,
students and professionals interested in artificial intelligence
(AI), sensor networks and Internet of Things (IoT). This book is
intended to develop a shared understanding of applications of AI
techniques in the present and near term. The book maps the
technical impacts of AI technologies, applications and their
implications on the design of solutions for sensor networks. This
text introduces researchers and aspiring academicians to the latest
developments and trends in AI applications for sensor networks in a
clear and well-organized manner. It is mainly useful for research
scholars in sensor networks and AI techniques. In addition,
professionals and practitioners working on the design of real-time
applications for sensor networks may benefit directly from this
book. Moreover, graduate and master's students of any departments
related to AI, IoT and sensor networks can find this book
fascinating for developing expert systems or real-time
applications. This book is written in a simple and easy language,
discussing the fundamentals, which relieves the requirement of
having early backgrounds in the field. From this expectation and
experience, many libraries will be interested in owning copies of
this work.
This book discusses research in Artificial Intelligence for the
Internet of Health Things. It investigates and explores the
possible applications of machine learning, deep learning, soft
computing, and evolutionary computing techniques in design,
implementation, and optimization of challenging healthcare
solutions. This book features a wide range of topics such as AI
techniques, IoT, cloud, wearables, and secured data transmission.
Written for a broad audience, this book will be useful for
clinicians, health professionals, engineers, technology developers,
IT consultants, researchers, and students interested in the
AI-based healthcare applications. Provides a deeper understanding
of key AI algorithms and their use and implementation within the
wider healthcare sector Explores different disease diagnosis models
using machine learning, deep learning, healthcare data analysis,
including machine learning, and data mining and soft computing
algorithms Discusses detailed IoT, wearables, and cloud-based
disease diagnosis model for intelligent systems and healthcare
Reviews different applications and challenges across the design,
implementation, and management of intelligent systems and
healthcare data networks Introduces a new applications and case
studies across all areas of AI in healthcare data K. Shankar
(Member, IEEE) is a Postdoctoral Fellow of the Department of
Computer Applications, Alagappa University, Karaikudi, India.
Eswaran Perumal is an Assistant Professor of the Department of
Computer Applications, Alagappa University, Karaikudi, India. Dr.
Deepak Gupta is an Assistant Professor of the Department Computer
Science & Engineering, Maharaja Agrasen Institute of Technology
(GGSIPU), Delhi, India.
Artificial Intelligence Techniques in IoT Sensor Networks is a
technical book which can be read by researchers, academicians,
students and professionals interested in artificial intelligence
(AI), sensor networks and Internet of Things (IoT). This book is
intended to develop a shared understanding of applications of AI
techniques in the present and near term. The book maps the
technical impacts of AI technologies, applications and their
implications on the design of solutions for sensor networks. This
text introduces researchers and aspiring academicians to the latest
developments and trends in AI applications for sensor networks in a
clear and well-organized manner. It is mainly useful for research
scholars in sensor networks and AI techniques. In addition,
professionals and practitioners working on the design of real-time
applications for sensor networks may benefit directly from this
book. Moreover, graduate and master's students of any departments
related to AI, IoT and sensor networks can find this book
fascinating for developing expert systems or real-time
applications. This book is written in a simple and easy language,
discussing the fundamentals, which relieves the requirement of
having early backgrounds in the field. From this expectation and
experience, many libraries will be interested in owning copies of
this work.
This book discusses research in Artificial Intelligence for the
Internet of Health Things. It investigates and explores the
possible applications of machine learning, deep learning, soft
computing, and evolutionary computing techniques in design,
implementation, and optimization of challenging healthcare
solutions. This book features a wide range of topics such as AI
techniques, IoT, cloud, wearables, and secured data transmission.
Written for a broad audience, this book will be useful for
clinicians, health professionals, engineers, technology developers,
IT consultants, researchers, and students interested in the
AI-based healthcare applications. Provides a deeper understanding
of key AI algorithms and their use and implementation within the
wider healthcare sector Explores different disease diagnosis models
using machine learning, deep learning, healthcare data analysis,
including machine learning, and data mining and soft computing
algorithms Discusses detailed IoT, wearables, and cloud-based
disease diagnosis model for intelligent systems and healthcare
Reviews different applications and challenges across the design,
implementation, and management of intelligent systems and
healthcare data networks Introduces a new applications and case
studies across all areas of AI in healthcare data K. Shankar
(Member, IEEE) is a Postdoctoral Fellow of the Department of
Computer Applications, Alagappa University, Karaikudi, India.
Eswaran Perumal is an Assistant Professor of the Department of
Computer Applications, Alagappa University, Karaikudi, India. Dr.
Deepak Gupta is an Assistant Professor of the Department Computer
Science & Engineering, Maharaja Agrasen Institute of Technology
(GGSIPU), Delhi, India.
This volume discusses recent advances in Artificial Intelligence
(AI) applications in smart, internet-connected societies,
highlighting three key focus areas. The first focus is on
intelligent sensing applications. This section details the
integration of Wireless Sensing Networks (WSN) and the use of
intelligent platforms for WSN applications in urban
infrastructures, and discusses AI techniques on hardware and
software systems such as machine learning, pattern recognition,
expert systems, neural networks, genetic algorithms, and
intelligent control in transportation and communications systems.
The second focus is on AI-based Internet of Things (IoT) systems,
which addresses applications in traffic management, medical health,
smart homes and energy. Readers will also learn about how AI can
extract useful information from Big Data in IoT systems. The third
focus is on crowdsourcing (CS) and computing for smart cities. this
section discusses how CS via GPS devices, GIS tools, traffic
cameras, smart cards, smart phones and road deceleration devices
enables citizens to collect and share data to make cities smart,
and how these data can be applied to address urban issues including
pollution, traffic congestion, public safety and increased energy
consumption. This book will of interest to academics, researchers
and students studying AI, cloud computing, IoT and crowdsourcing in
urban applications.
This book aims to provide a detailed understanding of
IoMT-supported applications while engaging premium smart computing
methods and improved algorithms in the field of computer science.
It contains thirteen chapters discussing various applications under
the umbrella of the Internet of Medical Things. These applications
geared towards IoMT cloud analysis, machine learning, computer
vision and deep learning have enabled the evaluation of the
proposed solutions.
This book offers an essential guide to Wireless Sensor Networks,
IoT Security, Image Processing, Secure Information Systems, and
Data Encryption. In addition, it introduces students and aspiring
practitioners to the subject of destination marketing in a
structured manner. It is chiefly intended for researcher students
in the areas of Wireless Sensor Networks and Secure Data
Communication (including image encryption, and intrusion detection
systems), academics at universities and colleges, IT professionals,
policymakers and legislators. Given its content, the book can be
used as a reference text for both undergraduate and graduate
studies, in courses on Wireless Sensor Networks, Secure Image
Processing, and Data Encryption applications. The book is written
in plain and easy-to-follow language and explains each main concept
the first time it appears, helping readers with no prior background
in the field. As such, it is a "must-read" guide to the subject
matter.
Leila, a beautiful sea mermaid falls in love with Devon a simple,
tribal community son living by the village on the banks of rugged
mountainous ocean. Their passion and affection grow leaps and bound
without realization that both come from distinct world, a human and
the other a mammal. As the affection grow, so does their challenges
of coping in each others territory, adaptation, survival,
community, scientific interest and existence of unique species, and
very personal dream.
Ayurveda is the ancient medical science of India. Many herbal,
mineral and metallic drugs are being successfully used in treatment
of various ailments. Tin (Vanga) in incinerated and processed form
is being used in Ayurvedic medicines since thousands years.
Vangeshwara Rasa and Swarnavanga are such popular Ayurvedic
medicines made of Tin. Now day various queries regarding safety of
metallic Ayurvedic drugs is being raised by various countries.
Though Vangeshwara Rasa and Swarnavanga are time tested harmless,
there is no documented data of safety and toxicity study of these
drugs. This study elaborates the acute sub-acute and chronic
toxicity study of Vangeshwara Rasa and Swarnavanga on experimental
animals. The study proves the said drugs to be safe. This book will
definitely be useful for Ayurveda clinicians and researchers.
Ayurveda is the ancient medical science of India. Many herbal,
mineral and metallic drugs are being successfully used in treatment
of various ailments. Diamond (Hiraka) in a form of medicine sounds
strange, but incinerated precious stones (Ratna Bhasma) has
important role in Ayurvedic medicines. Medicines made from Diamond
are used by some Ayurvedic physicians in various Cancers; and it
has reported encouraging results. To evaluate the clinical efficacy
of Hiraka Bhasma (Ayurvedic Diamond preparation) in Carcinoma,
clinical study with pre-diagnosed patients of carcinoma was carried
out; and the same is principle subject of this book. This book
elaborates review of ancient texts related to medicinal use of
Diamond, pharmaceutical processing of Diamond and its clinical
study. This book will definitely be useful for Ayurveda clinicians
and researchers.
About Between The Lines Set in India of the 1960s, the story is
about how a letter writer in a post office falls in love with a
girl in a far away village through letters. How interestingly they
nurture their relationship and how technology plays havoc with
their lives forms the rest of the story.
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