This book offers a comprehensive exploration of ensemble learning (EL), a powerful technique in machine learning and artificial intelligence. This book delves into the principles, methods, and practical applications of EL, emphasizing its significance in achieving robust and accurate predictive models. By integrating multiple models, EL outperforms single-model approaches, making it invaluable in diverse fields such as intelligent transportation systems, industrial monitoring, and smart homes. Through detailed case studies and real-world examples, the book illustrates how EL can be...