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Quantum Dots for Plant Systems
Quantum dots (QDs) are important in the research and industrial fields due to their diverse properties and technological importance. Recently, QDs have been found to be suitable for biological, biomedical, agricultural, and food science applications. Many research articles, review papers, and internet sources have published on the use of QDs to improve plant growth and yield, but a comprehensive overview in book form has not been available to date. This book provides detailed information on synthesis, functionalization, and the use of various types of quantum dots for plant systems. It also addresses the current state of knowledge on sensing mechanisms of QD-based biosensors used for microorganisms, including bacteria, fungi, and plant virus detection. This book also offers in-depth knowledge related to QDs used for plant growth, nutrients, and plant protection from micro-organisms. This volume is beneficial as one comprehensive resource for students, researchers, scientists, technicians, academicians, and industrialists.
Survey of Planar and Outerplanar Graphs in Fuzzy and Neutrosophic Graphs
As many readers may know, graph theory is a fundamental branch of mathematics that explores networks made up of nodes and edges, focusing on their paths, structures, and properties [196]. A planar graph is one that can be drawn on a plane without any edges intersecting, ensuring planarity. Outerplanar graphs, a subset of planar graphs, have all their vertices located on the boundary of the outer face in their planar embedding. In recent years, outerplanar graphs have been formally defined within the context of fuzzy graphs. To capture uncertain parameters and concepts, various graphs such as fuzzy, neutrosophic, Turiyam, and plithogenic graphs have been studied. In this paper, we investigate planar graphs, outerplanar graphs, apex graphs, and others within the frameworks of neutrosophic graphs, Turiyam Neutrosophic graphs, fuzzy graphs, and plithogenic graphs.
The New Age Of Criminology
This book seeks to extricate the complexities of this phenomenon by including insights from criminology, psychology and technology. It examines the many-sided nature of cybercriminal behaviour, from the motivations behind these acts to the psychological profiles of offenders and highlights the critical need for effective prevention and rehabilitation strategies. By examining the case studies, criminological theories and innovative rehabilitation approaches, the author aims to equip readers with a deeper understanding of this phenomenon.
Optimization of Sustainable Enzymes Production
This book is designed as a reference book and presents a systematic approach to analyze evolutionary and nature-inspired population-based search algorithms. Beginning with an introduction to optimization methods and algorithms and various enzymes, the book then moves on to provide a unified framework of process optimization for enzymes with various algorithms. The book presents current research on various applications of machine learning and discusses optimization techniques to solve real-life problems. The book compiles the different machine learning models for optimization of process parameters for production of industrially important enzymes. The production and optimization of various enz...
Combatting Cyberbullying in Digital Media with Artificial Intelligence
Rapid advancements in mobile computing and communication technology and recent technological progress have opened up a plethora of opportunities. These advancements have expanded knowledge, facilitated global business, enhanced collaboration, and connected people through various digital media platforms. While these virtual platforms have provided new avenues for communication and self-expression, they also pose significant threats to our privacy. As a result, we must remain vigilant against the propagation of electronic violence through social networks. Cyberbullying has emerged as a particularly concerning form of online harassment and bullying, with instances of racism, terrorism, and vari...
Applications of Machine intelligence in Engineering
The Global Conference on Artificial Intelligence and Applications (GCAIA 2021) provides a prominent venue for researchers, engineers, entrepreneurs, and scholar students to share their research ideas in the area of AI. Academic researchers would reveal the results and conclusions of laboratory based investigations via the GCAIA 21 platform, which bridges the gap between academia, industry, and government ethics. The GCAIA 21 platform will also bring together regional and worldwide issues to explore current advancements in contemporary Computation Intelligence. This Conference Proceedings volume contains the written versions of most of the contributions presented during the conference of GCAIA 2021. The conference has provided an excellent chance for researchers from diverse locations to present and debate their work in the field of artificial intelligence and its applications. It includes a selection of 62 papers. All accepted papers were subjected to strict peer-review by 2–4 expert referees. The papers have been selected for this volume because of their quality and their relevance to the theme of the conference.
Synaptic Plasticity in Neurodegenerative Disorders
This book explores the pivotal role of synaptic plasticity in the pathogenesis, progression, and potential treatment of neurodegenerative disorders. The initial chapter provides an in-depth understanding of the complexity and impact of neurodegenerative conditions. It discusses the association of mitochondrial dysfunction, epigenetic influences, and neuroinflammation with synaptic plasticity in neurodegenerative diseases. The following chapters review the dynamic changes that occur at the cellular and synaptic levels in Parkinson's disease, Alzheimer's disease, and Huntington's disease, paving the way for innovative therapeutic strategies. Furthermore, the book presents various computational...
Methods and Applications of Autonomous Experimentation
Autonomous Experimentation is poised to revolutionize scientific experiments at advanced experimental facilities. Whereas previously, human experimenters were burdened with the laborious task of overseeing each measurement, recent advances in mathematics, machine learning and algorithms have alleviated this burden by enabling automated and intelligent decision-making, minimizing the need for human interference. Illustrating theoretical foundations and incorporating practitioners’ first-hand experiences, this book is a practical guide to successful Autonomous Experimentation. Despite the field’s growing potential, there exists numerous myths and misconceptions surrounding Autonomous Experimentation. Combining insights from theorists, machine-learning engineers and applied scientists, this book aims to lay the foundation for future research and widespread adoption within the scientific community. This book is particularly useful for members of the scientific community looking to improve their research methods but also contains additional insights for students and industry professionals interested in the future of the field.
Advanced Techniques and Applications of Cybersecurity and Forensics
The book showcases how advanced cybersecurity and forensic techniques can be applied to various computational issues. It further covers the advanced exploitation tools that are used in the domain of ethical hacking and penetration testing. • Focuses on tools used in performing mobile and SIM forensics, static and dynamic memory analysis, and deep web forensics • Covers advanced tools in the domain of data hiding and steganalysis • Discusses the role and application of artificial intelligence and big data in cybersecurity • Elaborates on the use of advanced cybersecurity and forensics techniques in computational issues • Includes numerous open-source tools such as NMAP, Autopsy, and Wireshark used in the domain of digital forensics The text is primarily written for senior undergraduates, graduate students, and academic researchers, in the fields of computer science, electrical engineering, cybersecurity, and forensics.
Blockchain for IoT
Blockchain for IoT provides the basic concepts of Blockchain technology and its applications to varied domains catering to socio-technical fields. It also introduces intelligent Blockchain platforms by way of infusing elements of computational intelligence into Blockchain technology. With the help of an interdisciplinary approach, it includes insights into real-life IoT applications to enable the readers to assimilate the concepts with ease. This book provides a balanced approach between theoretical understanding and practical applications. Features: A self-contained approach to integrating the principles of Blockchain with elements of computational intelligence A rich and novel foundation o...
