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Lost and Found
Lost and Found is an inspiring story of a mother's love and resilience to fight the fight worth fighting. After a three-month relationship that went from bad to worse, Olivia Thompson struggles with being a single mother at the age of forty and the guilt it brings, not to mention that she's lost her bearings when she learns the father of her child harbors secrets. When Olivia finds herself in a fierce court battle she meets with an attorney and finds love in the process. Lost and Found spans nineteen months, three cities, a pregnancy, and a birth, and now with a baby in tow, the horrific lies begin to unravel, but the court system doesn't seem to want to take a stand. Rather than get caught up in the exhausting dysfunction and her ex's attempt to kill her, Olivia seeks the help of a counselor who empowers her to find herself and her faith that was once lost to stand strong.
Artificial Intelligence: A Real Opportunity in the Food Industry
This book emphasizes the latest developments and achievements in AI and related technologies with a special focus on food quality. The book describes the applications, and conceptualization of ideas, and critical surveys covering most aspects of AI for food quality.
Approaches to the Remediation of Inorganic Pollutants
In this comprehensive book, plant biologists and environmental scientists present the latest information on different approaches to the remediation of inorganic pollutants. Highlighting remediation techniques for a broad range of pollutants, the book offers a timely compilation to help readers understand injury and tolerance mechanisms, and the subsequent improvements that can be achieved by plant-based remediation. Gathering contributions by respected experts in the field, the book represents a valuable asset for students and researchers, particularly plant physiologists, environmental scientists, biotechnologists, botanists, soil chemists and agronomists.
Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches
This book is one of the first books that deal with the COVID-19 pandemic. COVID-19 pandemic has affected countries all over the world and has made a significant impact on daily life and healthcare facilities and treatment systems. The book covers the main recent emerging technologies that are related to the COVID-19 crisis. The technologies that are included in this book play a significant role in tackling COVID-19 in the future. The scope of this book is to cover all advanced emerging technologies and artificial intelligence techniques to fight against COVID-19 pandemic.
Medicinal Plant Responses to Stressful Conditions
Medicinal Plant Responses to Stressful Conditions discusses the effects of multiple biotic and abiotic stressors on medicinal plants. It features information on biochemical, molecular and physiological strategies used to mitigate or alleviate detrimental effects of biotic and abiotic stressors. The book contains chapters featuring medicinal plants of importance covering subjects including genomics, functional genomics, metabolomics, phenomics, proteomics and transcriptomics under biotic and abiotic stress of medicinal plants and their molecular responses. It suggests exogenous application of different types of stimulants to enhance medicinal plant production in such conditions. Features: Det...
Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.
Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations
This volume presents recent research in cyber security and reports how organizations can gain competitive advantages by applying the different security techniques in real-world scenarios. The volume provides reviews of cutting–edge technologies, algorithms, applications and insights for bio-inspiring cyber security-based systems. The book will be a valuable companion and comprehensive reference for both postgraduate and senior undergraduate students who are taking a course in cyber security. The volume is organized in self-contained chapters to provide greatest reading flexibility.
Machine Learning Paradigms: Theory and Application
The book focuses on machine learning. Divided into three parts, the first part discusses the feature selection problem. The second part then describes the application of machine learning in the classification problem, while the third part presents an overview of real-world applications of swarm-based optimization algorithms. The concept of machine learning (ML) is not new in the field of computing. However, due to the ever-changing nature of requirements in today’s world it has emerged in the form of completely new avatars. Now everyone is talking about ML-based solution strategies for a given problem set. The book includes research articles and expository papers on the theory and algorithms of machine learning and bio-inspiring optimization, as well as papers on numerical experiments and real-world applications.
The Encyclopedia of Neutrosophic Researchers, Vol. I
This is the first volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editor’s invitation. The 78 authors are listed alphabetically. The introduction contains a short history of neutrosophics, together with links to the main papers and books. Neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic measure, neutrosophic precalculus, neutrosophic calculus and so on are gaining significant attention in solving many real life problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistent, and indeterminacy. In the past years the fields of neutrosophics have been extended and applied in various fields, such as: artificial intelligence, data mining, soft computing, decision making in incomplete / indeterminate / inconsistent information systems, image processing, computational modelling, robotics, medical diagnosis, biomedical engineering, investment problems, economic forecasting, social science, humanistic and practical achievements.
