03633nam 22006135 450 991079923280332120251009095002.09789819974566981997456910.1007/978-981-99-7456-6(CKB)29468569800041(MiAaPQ)EBC31041882(Au-PeEL)EBL31041882(DE-He213)978-981-99-7456-6(OCoLC)1417195422(EXLCZ)992946856980004120231226d2023 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierMachine Learning and Optimization for Engineering Design /edited by Apoorva S. Shastri, Kailash Shaw, Mangal Singh1st ed. 2023.Singapore :Springer Nature Singapore :Imprint: Springer,2023.1 online resource (175 pages)Engineering Optimization: Methods and Applications,2731-40579789819974559 Chapter 1: Development of Smart Home System Based on IoT Using a Wearable EEG -- Chapter 2: Design of Intelligent ICT Irrigation System using Crop Growth Big Data Analysis -- Chapter 3: LRBC-E: A Structurally Enhanced LRBC-Based Block Cipher for Securing Extremely Contraind IoT Devices -- Chapter 4: OpenCV and MQTT based Intelligent Traffic Management System -- Chapter 5: A Machine Learning Model for Student's Academic Success Prediction.This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems and solutions, loan eligibility processing, etc., and their implementation with several case studies and literature reviews are included as self-contained chapters. Additionally, the book intends to highlight the importance of study and effectiveness in addressing the time and space complexity of problems and enhancing accuracy, analysis, and validations for different practical applications by acknowledging the state-of-the-art literature survey. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research work with illustrations and exercises along with pseudo-code has been provided here.Engineering Optimization: Methods and Applications,2731-4057Machine learningEngineering designMathematical optimizationMachine LearningEngineering DesignOptimizationMachine learning.Engineering design.Mathematical optimization.Machine Learning.Engineering Design.Optimization.006.31Shastri Apoorva S1585665Shaw Kailash1585666Singh Mangal1585667MiAaPQMiAaPQMiAaPQBOOK9910799232803321Machine Learning and Optimization for Engineering Design3871184UNINA