00876nam a2200229 i 450099100131634970753620020507114325.0930518s1989 ||| ||| | ita b10203643-39ule_instLE00645728ExLDip.to FisicaitaPellegrino, A.3144712 twelve C (e, e'pp) experiment at Nikhef-K :experimental setup and preliminary results /laureando Antonio Pellegrino ; relatore Raffaele De LeoLecce :a.a. 1989-90136 p.De Leo, R..b1020364321-09-0627-06-02991001316349707536LE006 T4901LE006-T490le006-E0.00-no 00000.i1025159527-06-02Twelve C (e, e'pp) experiment at Nikhef-K192653UNISALENTOle00601-01-93ma -engxx 3103511nam 22005773 450 991101882960332120240203060212.09781394166923139416692397813941669161394166915(MiAaPQ)EBC31096112(Au-PeEL)EBL31096112(CKB)30156887800041(Exl-AI)31096112(Perlego)4332559(OCoLC)1419869321(EXLCZ)993015688780004120240203d2024 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierSustainable Management of Electronic Waste1st ed.Newark :John Wiley & Sons, Incorporated,2024.©2024.1 online resource (445 pages)9781394166176 1394166176 Cover -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Chapter 1 Integration of Artificial Intelligence Techniques for Energy Management -- 1.1 Introduction -- 1.2 Summary of Artificial Intelligence Techniques -- 1.2.1 Machine Learning -- 1.2.2 Deep Learning (DL) Techniques -- 1.3 Reasons for Applying AI in EMS -- 1.4 ML in Renewable Energy -- 1.4.1 ML for Renewable Energy Applications -- 1.4.2 Countries Focusing on ML -- 1.4.3 Notable ML Projects -- 1.4.4 How ML is Renovating the Energy Industry -- 1.4.5 Machine Learning in Renewable Energy -- 1.5 Integration of AI in Smart Grids -- 1.5.1 Load Balancing -- 1.5.2 Power Grid Stability Assessment -- 1.5.3 Smart Grid Challenges -- 1.5.4 Future of AI in Smart Grids -- 1.5.5 Challenges of AI in Smart Grids -- 1.6 Parameter Selection and Optimization -- 1.6.1 Strategies for Tuning Hyperparameter Values in a Machine Learning Model -- 1.7 Biological-Based Models for EMS -- 1.8 Future of ML in Energy -- 1.9 Opportunities, Limitations, and Challenges -- 1.9.1 Opportunities and LimitationsGenerated by AI.This book, 'Sustainable Management of Electronic Waste,' explores the effective management of e-waste through various technological and scientific approaches. Edited by Abhishek Kumar, Pramod Singh Rathore, Ashutosh Kumar Dubey, Arun Lal Srivastav, T. Ananth Kumar, and Vishal Dutt, it delves into topics such as artificial intelligence techniques for energy management, bioethanol production from e-waste, and the integration of AI in smart grids. The book provides a comprehensive review of current trends, challenges, and future prospects in e-waste management, offering insights for researchers, industry professionals, and policymakers aiming for sustainable solutions to electronic waste issues.Generated by AI.Electronic wasteGenerated by AIEnvironmental managementGenerated by AIElectronic wasteEnvironmental management621.38150286Kumar Abhishek977677Rathore Pramod Singh1833323Dubey Ashutosh Kumar1750701Srivastav Arun Lal1727437Dutt Vishal1841171Ananthkumar T1842040MiAaPQMiAaPQMiAaPQBOOK9911018829603321Sustainable Management of Electronic Waste4421972UNINA