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Books > Computing & IT
Data stealing is a major concern on the internet as hackers and
criminals have begun using simple tricks to hack social networks
and violate privacy. Cyber-attack methods are progressively modern,
and obstructing the attack is increasingly troublesome, regardless
of whether countermeasures are taken. The Dark Web especially
presents challenges to information privacy and security due to
anonymous behaviors and the unavailability of data. To better
understand and prevent cyberattacks, it is vital to have a forecast
of cyberattacks, proper safety measures, and viable use of
cyber-intelligence that empowers these activities. Dark Web Pattern
Recognition and Crime Analysis Using Machine Intelligence discusses
cyberattacks, security, and safety measures to protect data and
presents the shortcomings faced by researchers and practitioners
due to the unavailability of information about the Dark Web.
Attacker techniques in these Dark Web environments are highlighted,
along with intrusion detection practices and crawling of hidden
content. Covering a range of topics such as malware and fog
computing, this reference work is ideal for researchers,
academicians, practitioners, industry professionals, computer
scientists, scholars, instructors, and students.
Software development and design is an intricate and complex process
that requires a multitude of steps to ultimately create a quality
product. One crucial aspect of this process is minimizing potential
errors through software fault prediction. Enhancing Software Fault
Prediction With Machine Learning: Emerging Research and
Opportunities is an innovative source of material on the latest
advances and strategies for software quality prediction. Including
a range of pivotal topics such as case-based reasoning, rate of
improvement, and expert systems, this book is an ideal reference
source for engineers, researchers, academics, students,
professionals, and practitioners interested in novel developments
in software design and analysis.
Would You Like to Learn the SQL Programming Language In A Day? What
is SQL? How can it benefit you? What will it take for you to learn
this language? When you purchase SQL Programming: Programing
Language for Beginners - Learn in a Day!, you can quickly learn the
basics of this essential skill! These fun and easy tips transform
the dreaded chore of learning a new programming language into a fun
hobby. You'll be proud to show off your new abilities to your
friends, coworkers, and family! How do you get started with SQL?
What will you learn? SQL Programming: Programing Language for
Beginners - Learn in a Day! helps you understand: Table Basics The
SELECT Statement Using Clauses Combining Conditions and Boolean
Operators The Importance of Table Joins Lots more! Purchase SQL
Programming: Programing Language for Beginners - Learn in a Day!
now, and change your computer programming life forever!
The best source for cutting-edge insights into AI in healthcare
operations AI in Healthcare: How Artificial Intelligence Is
Changing IT Operations and Infrastructure Services collects,
organizes and provides the latest, most up-to-date research on the
emerging technology of artificial intelligence as it is applied to
healthcare operations. Written by a world-leading technology
executive specializing in healthcare IT, this book provides
concrete examples and practical advice on how to deploy artificial
intelligence solutions in your healthcare environment. AI in
Healthcare reveals to readers how they can take advantage of
connecting real-time event correlation and response automation to
minimize IT disruptions in critical healthcare IT functions. This
book provides in-depth coverage of all the most important and
central topics in the healthcare applications of artificial
intelligence, including: Healthcare IT AI Clinical Operations AI
Operational Infrastructure Project Planning Metrics, Reporting, and
Service Performance AIOps in Automation AIOps Cloud Operations
Future of AI Written in an accessible and straightforward style,
this book will be invaluable to IT managers, administrators, and
engineers in healthcare settings, as well as anyone with an
interest or stake in healthcare technology.
The effective application of knowledge management principles has
proven to be beneficial for modern organizations. When utilized in
the academic community, these frameworks can enhance the value and
quality of research initiatives. Enhancing Academic Research With
Knowledge Management Principles is a pivotal reference source for
the latest research on implementing theoretical frameworks of
information management in the context of academia and universities.
Featuring extensive coverage on relevant areas such as data mining,
organizational and academic culture, this publication is an ideal
resource for researchers, academics, practitioners, professionals,
and students.
Food is a necessary aspect of human life, and agriculture is
crucial to any country's global economy. Because the food business
is essential to both a country's economy and global economy,
artificial intelligence (AI)-based smart solutions are needed to
assure product quality and food safety. The agricultural sector is
constantly under pressure to boost crop output as a result of
population growth. This necessitates the use of AI applications.
Artificial Intelligence Applications in Agriculture and Food
Quality Improvement discusses the application of AI, machine
learning, and data analytics for the acceleration of the
agricultural and food sectors. It presents a comprehensive view of
how these technologies and tools are used for agricultural process
improvement, food safety, and food quality improvement. Covering
topics such as diet assessment research, crop yield prediction, and
precision farming, this premier reference source is an essential
resource for food safety professionals, quality assurance
professionals, agriculture specialists, crop managers, agricultural
engineers, food scientists, computer scientists, AI specialists,
students, libraries, government officials, researchers, and
academicians.
Even though terrorism poses an increasing threat to multinational
companies, corporate leaders can thwart attacks by learning to
navigate the complexities of foreign governments, social unrest,
and cultural dissonance. Multinational corporations are on the
front lines of terrorism and cyberattacks—two of the world's
biggest threats to global security. How can corporate leaders
mitigate their organizations' risks and develop an infrastructure
that detects and deters a security menace before it happens? This
timely reference lays out essential political context and
historical background to help executives identify contemporary
threats and understand the interconnections between threat dynamics
in an increasingly dangerous international environment. This
compelling work is organized into seven chapters. The beginning
chapters profile the specific risks for multinational companies and
detail which global—and regional—factors might propagate
violence targeted at American-based businesses. Next, two
historical case studies on terrorist assaults at Tigantourine and
Mombasa illustrate how counterterrorism can successfully thwart
potential attacks against business targets. The final part
describes industrial espionage and criminal activity and then
outlines a corporate counterterror blueprint to combat the prospect
of terrorism, providing specific recommendations for preventative
measures.
Artificial intelligence has become an invaluable tool in modern
society and can be utilized across fields such as healthcare,
travel, education, and construction. There are numerous benefits
for companies, industries, and governments when adopting this
technology into their daily operations as it continues to evolve to
support the needs of society. Further study on the challenges and
strategies of implementation is required in order to ensure the
technology is employed to its full potential. Artificial
Intelligence for Societal Development and Global Well-Being
considers the various uses, best practices, and success factors of
artificial intelligence across fields and industries and discusses
critical ways in which the technology must be developed further for
the good of society. Covering a range of topics such as smart
devices, artificial neural networks, and natural intelligence, this
reference work is crucial for scientists, librarians, business
owners, government officials, entrepreneurs, scholars, researchers,
practitioners, instructors, and students.
The second in the Women Securing the Future with TIPPSS series,
this book provides insight and expert advice from seventeen women
leaders in technology, healthcare and policy to address the
challenges of Trust, Identity, Privacy, Protection, Safety and
Security (TIPPSS) for connected healthcare, and the growing
Internet of Medical Things (IoMT) ecosystem. The ten chapters in
this book delve into trust, security and privacy risks in connected
healthcare for patients, medical devices, personal and clinical
data, healthcare providers and institutions, and provide practical
approaches to manage and protect the data, devices, and humans.
Cybersecurity, technology and legal experts discuss risks, from
data and device hacks to ransomware, and propose approaches to
address the challenges including new frameworks for architecting
and evaluating medical device and connected hospital cybersecurity.
We all need to be aware of the TIPPSS challenges in connected
healthcare, and we call upon engineers, device manufacturers,
system developers and healthcare providers to ensure trust and
manage the risk. Featuring contributions from prominent female
experts and role models in technology, cybersecurity, engineering,
computer science, data science, business, healthcare,
accessibility, research, law, privacy and policy, this book sets
the stage to improve security and safety in our increasingly
connected world.
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