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Most books on fractals focus on deterministic fractals as the impact of incorporating randomness and time is almost absent. Further, most review fractals without explaining what scaling and self-similarity means. This book introduces the idea of scaling, self-similarity, scale-invariance and their role in the dimensional analysis. For the first time, fractals emphasizing mostly on stochastic fractal, and multifractals which evolves with time instead of scale-free self-similarity, are discussed. Moreover, it looks at power laws and dynamic scaling laws in some detail and provides an overview of modern statistical tools for calculating fractal dimension and multifractal spectrum.

Application of Artificial Intelligence in Early Detection of Lung Cancer presents the most up-to-date computer-aided diagnosis techniques used to effectively predict and diagnose lung cancer. The presence of pulmonary nodules on lung parenchyma is often considered an early sign of lung cancer, thus using machine and deep learning technologies to identify them is key to improve patients’ outcome and decrease the lethal rate of such disease. The book discusses topics such as basics of lung cancer imaging, pattern recognition techniques, deep learning, and nodule detection and localization. In addition, the book discusses risk prediction based on radiological analysis and 3D modeling. This is a valuable resource for cancer researchers, oncologists, graduate students, radiologists, and members of biomedical field who are interested in the potential of AI technologies in the diagnosis of lung cancer. Provides an overview of the latest developments of artificial intelligence technologies applied to the detection of pulmonary nodules Discusses the different technologies available and guides readers step-by-step to the most applicable one for the specific lung cancer type Describes the entire study design on prediction of lung cancer to help readers apply it to their research successfully

"Edge Computing for IoT: Architectures, Use Cases, and Innovations" is a comprehensive guide that explores the dynamic intersection of Edge Computing and the Internet of Things (IoT). Authored by experts in the field, the book delves into cutting-edge architectures, real-world applications, and emerging innovations shaping the future of IoT. This book provides a detailed analysis of Edge Computing, highlighting its role in enhancing efficiency, reducing latency, and optimizing data processing at the network's edge. Through practical use cases and insightful discussions, readers will gain a profound understanding of how edge computing transforms industries such as healthcare, smart cities, manufacturing, and beyond. Written by leading academicians and researchers, the book is an essential resource for students, professionals, and researchers looking to explore the technological advancements and business applications of Edge Computing in IoT.