[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-118527-en":3,"doc-seo-118527-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},118527,962075114101,"Seraphina","https://ap-avatar.wpscdn.com/avatar/e000253a75eb197efd?x-image-process=image/resize,m_fixed,w_180,h_180&k=1780044092746381165",8,"Research & Report","Optimizing Smart City Infrastructure Using Edge Computing and Machine Learning - Master of Science Thesis","This thesis examines how edge computing and machine learning can optimize smart city infrastructure by improving responsiveness, reducing latency, and enabling more efficient data processing at the network edge. It frames the problem and study aims, reviews foundational concepts of smart cities, and analyzes the role of edge computing and machine learning in real-world deployments. A structured literature review also covers integrating both approaches and relevant machine learning models for smart city applications.","CALIFORNIA STATE UNIVERSITY, NORTHRIDGE  \nOptimizing Smart City Infrastructure Using Edge Computing and Machine Learning  \nA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science  \nBy  \nSrujana Priya Bandaru  \nDecember 2024  \n© 2024  \nSrujana Priya Bandaru  \nALL RIGHTS RESERVED  \nThe thesis of Srujana Priya Bandaru is approved:  \nProfessor Sevada Isayan  \nDr. Robert McIlhenny, Ph.D.  \nDr. George Taehyung Wang, Ph.D., Chair  \nDate  \nDate  \nDate  \nCalifornia State University, Northridge  \nAcknowledgment  \nI would like to express my deepest gratitude to Professor Dr. George Taehyung Wang, the head of my thesis committee, for their exceptional guidance, encouragement, and insightful advice throughout this research project. His expertise and thoughtful feedback have been instrumental in shaping the direction and quality of my work, for which I am sincerely thankful.  \nI am also profoundly grateful to Professor Robert McIlhenny, who, despite a demanding schedule, offered valuable perspectives and constructive suggestions that significantly enriched this thesis. His contributions have been essential in elevating the standard of my research.  \nMy heartfelt thanks extend to Professor Sevada Isayan, whose thorough and meticulous reviews provided crucial insights that helped refine my work. His commitment to academic excellence and attention to detail have played a key role in guiding my scholarly journey.  \nFinally, I owe my deepest appreciation to my family, whose unwavering support, love, and encouragement have been the foundation of my academic pursuits. Their sacrifices and belief in me have provided the strength and motivation needed to achieve this milestone. This work is dedicated to them with heartfelt gratitude for their endless support.  \nDedication  \nThis thesis is dedicated with deep appreciation to all those who have supported and inspired me throughout my academic journey. To my mentors and advisors, your invaluable guidance, encouragement, and belief in my potential have been a constant source of motivation, helping me navigate the challenges along the way.  \nTo my beloved family, whose unwavering love, sacrifices, and support have been the foundation of my perseverance, I am forever grateful. Your encouragement has been my strength, and this achievement would not have been possible without you.  \nTo my dear friends, thank you for bringing joy and balance to my life, reminding me that there is more to cherish beyond the academic world. Your companionship has been a source of comfort and a treasured part of this journey.  \nLastly, I extend my gratitude to everyone who has contributed to this work in any way. Your support, no matter how big or small, has played a vital role in this accomplishment. This thesis is a testament to your faith in me and the shared effort behind every step of the way.  \nTable of Contents  \nCopyright Page ............................................................................................................................... ii  \nSignature Page ............................................................................................................................... iii  \nAcknowledgment ........................................................................................................................... iv  \nDedication ....................................................................................................................................... v  \nList of Figures .............................................................................................................................. viii  \nList of Abbreviations ..................................................................................................................... ix  \nAbstract ........................................................................................................................................... x  \nChapter 1: Introduction ...","cbCailAtKK4zDfyf","https://ap.wps.com/l/cbCailAtKK4zDfyf","pdf",729720,1,87,"English","en",105,"# Chapter 1: Introduction\n## Background of Study\n## Problem Statement\n## Aim\n## Objectives\n## Scope of Study\n## Relevance and Potential Impact\n## Methodology Review\n# Chapter 2: Literature Review\n## Introduction\n## The Concept of Smart Cities\n## The Role of Edge Computing in Smart Cities\n## Machine Learning in Smart City Applications\n## Integrating Edge Computing and Machine Learning in Smart Cities\n## Machine Learning Models in Smart City Applications\n## Existing Federated","[{\"question\":\"What is the main research focus of this thesis?\",\"answer\":\"The thesis focuses on optimizing smart city infrastructure by leveraging edge computing and machine learning to support smarter, more efficient city services and data handling.\"},{\"question\":\"How does the literature review contribute to the work?\",\"answer\":\"It establishes key concepts of smart cities, explains edge computing’s role, reviews machine learning use in smart city applications, and evaluates how the two can be integrated.\"},{\"question\":\"What topics are covered regarding machine learning for smart cities?\",\"answer\":\"The document reviews machine learning models used in smart city applications and discusses existing federated learning-related ideas in that context.\"}]","Optimizing Smart City Infrastructure Using Edge Computing and Machine Learning - 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