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Applied Cryptography
An intriguing field of study that exists at the convergence of computer science, mathematics, and electrical engineer-ing is cryptology. Due to the rapid pace of cryptology's development, it is difficult to keep up with everything. The theoretical underpinnings of the field have been fortified over the past quarter-century; we now have a firm grasp of security definitions and methods for demonstrating the security of structures. Additionally, rapid advancements are observed in the field of applied cryptography, where obsolete algorithms are compromised and withdrawn, while novel algorithms and protocols arise. Cryptography has infiltrated virtually every aspect of life, including medical imp...
Object Detection with Deep Learning Models
Object Detection with Deep Learning Models discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks. Features: A structured overview of deep learning in object detection A diversified collection of applications of object detection using deep neural networks Emphasize agriculture and remote sensing domains Exclusive discussion on moving object detection
Fundamental Of Data Science And Big Data Analytics
The book provides a thorough, accessible, and current comprehension of Big Data for both business people and engineers. This book presents essential ideas, theories, terminology, and technologies related to Big Data. It also covers important analysis and analytics approaches. The information is rationally organized, given in clear and simple language, and backed with easily comprehensible examples. The objective of “Fundamentals of Data Science and Big Data Science” is to enhance decision-making by analyzing data. Currently, data science plays a crucial role in determining the advertisements that appear on the internet, the recommendations you get for books and films, the classification ...
Handbook on Federated Learning
Mobile, wearable, and self-driving telephones are just a few examples of modern distributed networks that generate enormous amount of information every day. Due to the growing computing capacity of these devices as well as concerns over the transfer of private information, it has become important to process the part of the data locally by moving the learning methods and computing to the border of devices. Federated learning has developed as a model of education in these situations. Federated learning (FL) is an expert form of decentralized machine learning (ML). It is essential in areas like privacy, large-scale machine education and distribution. It is also based on the current stage of ICT...
Industrial Pollution & Management
Conflicts 41 Research Papers Relating To Current Environmental Problems Caused By Industrial Pollution And Then Possible Remedies. Useful For Students/Teachers And Researchers In The Field Of Environmental Science.
Machine Learning based Feature Selection and Classification Techniques for Big Data Applications
Dr.K.K.Savitha, Assistant Professor, Department of Computer Applications, Bharathiar University PG Extension and Research Centre, Erode, Tamil Nadu, India
Basics Of Distributed And Cloud Computing
In a time characterized by digital revolution and interconnected systems, it is imperative for both professionals and enthusiasts to possess a fundamental comprehension of distributed and cloud computing. The book "Basics of Distributed and Cloud Computing" functions as an all-encompassing manual for these ever-evolving domains, providing readers with a succinct and unambiguous examination of fundamental protocols, structures, and technologies. The book commences by establishing the foundational principles of distributed computing through an introductory section that clarifies key concepts including parallelism, concurrency, and the architectural models of distributed systems. Insights regar...
Progress in Mycology
Indian mycologists have extensively studied various groups of fungi such as soil fungi, aquatic fungi, marine fungi, endophytic fungi, fungi associated with man and animals. Though several books on various aspects of fungi are published, this is the first account of the history and developments in mycology in India. It discusses at length various stages of development of mycology including both classical and biotechnological aspects. It begins with a historical account of Indian mycology, followed by a description of research on fossil fungi. Further chapters cover the latest updates on different taxonomic groups of fungi. A dedicated section describes the roles and applications of fungal endophytes. The book also includes research in other important areas such as mushrooms and wood rotting fungi. Different chapters are written by leading mycologists. This book is useful to students, teachers and researchers in botany, microbiology, biotechnology and life sciences, agriculture and industries using fungi to produce various valuable products.
Computer Networks & Communications (NetCom)
Computer Networks & Communications (NetCom) is the proceedings from the Fourth International Conference on Networks & Communications. This book covers theory, methodology and applications of computer networks, network protocols and wireless networks, data communication technologies, and network security. The proceedings will feature peer-reviewed papers that illustrate research results, projects, surveys and industrial experiences that describe significant advances in the diverse areas of computer networks & communications.
