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Explainable AI: Foundations, Methodologies and Applications
This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas. The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations.
Deep Learning Applications, Volume 2
This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.
Recent Advances in Deep Learning Applications
This book presents a collection of rigorously revised papers selected from the 22nd IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2023). It focuses on deep learning architectures and their applications in domains such as health care, security and threat detection, education, fault diagnosis, and robotic control in industrial environments. Novel ways of using convolutional neural networks, transformers, autoencoders, graph-based neural networks, and large language models for the above applications are covered in this book. Readers will find insights to help them realize novel ways of using deep learning architectures and models in real-world applications and contexts, making this book an essential reference guide for academic researchers, professionals, software engineers in the industry, and innovative product developers. Key Features: Presents state-of-the-art research on deep learning Covers modern real-world applications of deep learning Provides value to students, academic researchers, professionals, software engineers in the industry, and innovative product developers
Capitalism
A brilliant global narrative that unravels the defining story of the past thousand years 'Magisterial in scope and ambition, Sven Beckert’s Capitalism is a dazzling global history of the forces that have shaped – and continue to shape – our world. A true tour de force' - Peter Frankopan Sven Beckert has written what will surely become a key reference on the global history of modern capitalism, from 1450 until the present day. A monumental book, a must-read' - Thomas Piketty, author of Capital in the Twenty-First Century No other phenomenon has shaped human history as decisively as capitalism. It structures how we live and work, how we think about ourselves and others, how we organise o...
Food Security and Safety
This book focuses on food security and safety issues in Africa, a continent presently challenged with malnutrition and food insecurity. The continuous increase in the human population of Africa will lead to higher food demands, and climate change has already affected food production in most parts of Africa, resulting in drought, reduced crop yields, and loss of livestock and income. For Africa to be food-secure, safe and nutritious food has to be available, well-distributed, and sufficient to meet people’s food requirements. Contributors to Food Security and Safety: African Perspectives offer solutions to the lack of adequate safe and nutritious food in sub-Saharan Africa, as well as highl...
