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AN INTRODUCTION TO DEEP LEARNING
In deep learning, an artificial neural network (ANN) stores and processes large amounts of data. This is because artificial neural networks are used in deep learning. It is able to find both overt and covert connections across datasets. When working with deep learning, direct programming is not always necessary. Recent years have seen a meteoric rise in its popularity as a result of developments in processing power and the availability of massive datasets. This is one of the reasons why. For the reason that it was created using artificial designed to learn from large datasets. Deep Learning is a subfield of Machine Learning that use neural networks for modeling and problem solving; its devel...
Next Generation Intelligent Network Intrusion Prevention System
Well, there are thousands of books on Network Intrusion Prevention already flooding the market and libraries. The reader may naturally wonder about the need of writing another book on this topic. This book is based on my research report which I have written to get degree of Doctorate in Philosophy in Computer Science. This book assumes that you are having basic knowledge of computer science. My objective is not to provide you any catalogue of intrusion prevention protocols, but to come to a behavioral approach to solve this problem of Network Intrusion. Based on my teaching, industrial and consultancy experience, I have tried to achieve these goals in a simple way. My writing formula was based on: Problems + Conceptual Background + Innovative Solution I have used simple language so that you can understand the concepts quite easily. I have tried to explain a simple solution to stop spammers and network intruders
Proceedings of the International Conference on AI and Robotics
This book gathers selected papers from International Conference on AI and Robotics (AIR 2025), held in Astana, Kazakhstan, during May 9–11, 2025. The book presents and discusses the latest research results and generates new ideas in the field of artificial intelligence and robotics. The topics covered are machine learning and deep learning, natural language processing, computer vision, autonomous robots, human-robot interaction, AI and robotics for environmental sustainability, and industrial robotics.
