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The volume provides a wealth of up-to-date information on
developments and applications of deep learning in healthcare and
medicine, providing deep insight and understanding of novel
applications that address the tough questions of disease diagnosis,
prevention, and immunization. The volume looks at applications of
deep learning for major medical challenges such as cancer detection
and identification, birth asphyxia among neonates, kidney
abnormalities, white blood cell segmentation, diabetic retinopathy
detection, and Covid-19 diagnosis, prevention, and immunization.
The volume discusses applications of deep learning in detection,
diagnosis, intensive examination and evaluation, genomic
sequencing, convolutional neural networks for image recognition and
processing, and more for health issues such as kidney problems,
brain tumors, lung damage, and breast cancer. The authors look at
ML for brain tumor segmentation, in lung CT scans, in digital X-ray
devices, and for logistic and transport systems for effective
delivery of healthcare.
Unleashing the Art of Digital Forensics is intended to describe and
explain the steps taken during a forensic examination, with the
intent of making the reader aware of the constraints and
considerations that apply during a forensic examination in law
enforcement and in the private sector. Key Features: * Discusses
the recent advancements in Digital Forensics and Cybersecurity *
Reviews detailed applications of Digital Forensics for real-life
problems * Addresses the challenges related to implementation of
Digital Forensics and Anti-Forensic approaches * Includes case
studies that will be helpful for researchers * Offers both
quantitative and qualitative research articles, conceptual papers,
review papers, etc. * Identifies the future scope of research in
the field of Digital Forensics and Cybersecurity. This book is
aimed primarily at and will be beneficial to graduates,
postgraduates, and researchers in Digital Forensics and
Cybersecurity.
Information Security and Optimization maintains a practical
perspective while offering theoretical explanations. The book
explores concepts that are essential for academics as well as
organizations. It discusses aspects of techniques and
tools-definitions, usage, and analysis-that are invaluable for
scholars ranging from those just beginning in the field to
established experts. What are the policy standards? What are
vulnerabilities and how can one patch them? How can data be
transmitted securely? How can data in the cloud or cryptocurrency
in the blockchain be secured? How can algorithms be optimized?
These are some of the possible queries that are answered here
effectively using examples from real life and case studies.
Features: A wide range of case studies and examples derived from
real-life scenarios that map theoretical explanations with real
incidents. Descriptions of security tools related to digital
forensics with their unique features, and the working steps for
acquiring hands-on experience. Novel contributions in designing
organization security policies and lightweight cryptography.
Presentation of real-world use of blockchain technology and
biometrics in cryptocurrency and personalized authentication
systems. Discussion and analysis of security in the cloud that is
important because of extensive use of cloud services to meet
organizational and research demands such as data storage and
computing requirements. Information Security and Optimization is
equally helpful for undergraduate and postgraduate students as well
as for researchers working in the domain. It can be recommended as
a reference or textbook for courses related to cybersecurity.
This book focuses on Artificial Intelligence and Machine Learning
technologies and how they are progressively being incorporated into
a wide range of products, including consumer gadgets, "smart"
personal assistants, cutting-edge medical diagnostic systems, and
quantum computing systems. This concise reference book offers a
broad overview of the most important trends and discusses how these
trends and technologies are being created and employed in the
applications they are finding use in. Artificial Intelligence and
Machine Learning: An Intelligent Perspective of Emerging
Technologies offers a broad package involving the incubation of ML
and AI with various emerging technologies such as IoT, Healthcare,
Smart Cities, Robotics, and more. The book discusses various data
collection and data transformation techniques and maps the legal
and ethical issues of data-driven e-healthcare systems while
covering the possible ways to resolve them. The book explores
different techniques on how AI can be used to create better virtual
reality experiences and deals with the techniques and possible ways
to merge the power of AI and IoT to create smart home appliances.
With contributions from experts in the field, this reference book
is useful to healthcare professionals, researchers, and students of
industrial engineering, systems engineering, biomedical, computer
science, electronics, and communications engineering.
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