Mathematical Models Using Artificial Intelligence for Surveillance Systems
暫譯: 使用人工智慧的數學模型於監控系統
Tripathi, Padmesh, Rai, Mritunjay, Kumar, Nitendra
- 出版商: Wiley-Scrivener
- 出版日期: 2024-09-04
- 售價: $6,820
- 貴賓價: 9.5 折 $6,479
- 語言: 英文
- 頁數: 368
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1394200587
- ISBN-13: 9781394200580
-
相關分類:
人工智慧
無法訂購
相關主題
商品描述
This book gives comprehensive insights into the application of AI, machine learning, and deep learning in developing efficient and optimal surveillance systems for both indoor and outdoor environments, addressing the evolving security challenges in public and private spaces.
Mathematical Models Using Artificial Intelligence for Surveillance Systems aims to collect and publish basic principles, algorithms, protocols, developing trends, and security challenges and their solutions for various indoor and outdoor surveillance applications using artificial intelligence (AI). The book addresses how AI technologies such as machine learning (ML), deep learning (DL), sensors, and other wireless devices could play a vital role in assisting various security agencies. Security and safety are the major concerns for public and private places in every country. Some places need indoor surveillance, some need outdoor surveillance, and, in some places, both are needed. The goal of this book is to provide an efficient and optimal surveillance system using AI, ML, and DL-based image processing.
The blend of machine vision technology and AI provides a more efficient surveillance system compared to traditional systems. Leading scholars and industry practitioners are expected to make significant contributions to the chapters. Their deep conversations and knowledge, which are based on references and research, will result in a wonderful book and a valuable source of information.
商品描述(中文翻譯)
這本書全面深入探討了人工智慧(AI)、機器學習(ML)和深度學習(DL)在開發高效且最佳的監控系統方面的應用,針對公共和私人空間中不斷演變的安全挑戰進行了分析。
《使用人工智慧的監控系統數學模型》旨在收集和出版基本原則、演算法、協議、發展趨勢以及各種室內和室外監控應用中面臨的安全挑戰及其解決方案,這些應用均使用人工智慧(AI)。本書探討了機器學習(ML)、深度學習(DL)、感測器及其他無線設備等AI技術如何在協助各種安全機構中發揮重要作用。安全和保障是每個國家公共和私人場所的主要關注點。有些地方需要室內監控,有些地方需要室外監控,而在某些地方則兩者皆需。本書的目標是提供一個基於AI、ML和DL的影像處理的高效且最佳的監控系統。
機器視覺技術與AI的結合提供了一個比傳統系統更高效的監控系統。預期領先的學者和業界實踐者將對各章節做出重要貢獻。他們基於參考文獻和研究的深入對話和知識,將使這本書成為一本精彩的著作和寶貴的信息來源。
作者簡介
Padmesh Tripathi, PhD, completed his Ph.D. from Sharda University, Greater Noida, UP, India. Currently, Dr Tripathi is working as Professor of Mathematics in Department of AIDS at Delhi Technical Campus, Greater Noida, UP, India. He has more than 23 years of teaching experience, published 22 papers/book chapters in reputed journals/publishers and 4 Indian innovation patents. His research areas include Data Science, Machine Learning, Inverse Problems, Optimization, Signal/Image Processing, etc. Dr Tripathi has been listed in lifetime achievement by Marquis Who's Who and received the best academician of 2021 award from SEMS Foundation, Noida, India. Dr Tripathi has been associated with several reputed publishers like IGI Global, Wiley-Scrivener, Taylor & Francis, Elsevier, Springer, Inderscience, etc. in various roles like author, reviewer, editor, guest editor, etc. Dr Tripathi received grants from prestigious institutes like Cambridge University, UK; University of California at Los Angeles, USA; INRIA, Sophia Antipolis, France; University of Eastern Finland, Kuopio, Finland; RICAM, Linz, Austria, etc and visited these places.
Mritunjay Rai, PhD, has completed his Ph.D. in Thermal imaging applications in the department of Electrical Engineering from IIT-ISM Dhanbad, Master of Engineering (with distinction) in Instrumentation and Control from Birla Institute of Technology-Mesra, Ranchi, and B.Tech in ECE from Shri Ramswaroop Memorial College of Engineering and Management, Lucknow. Currently, Dr. Rai is working as Assistant Professor in Shri Ramswaroop Memorial University, Barabanki, U.P., India. Dr. Rai has more than 12 years of working experience in research as well as academics. In addition, he has guided several UG and PG projects. He has published many research articles in reputed journals published by Springer, Elsevier, IEEE, Inderscience, and MECS. He has contributed many chapters to books published by Intech Open Access, CRC, IGI Global, and Elsevier. He is an editor of books (edited) published by reputed publishers Wiley, AAP, NOVA & IGI, He is an active reviewer and has reviewed many research papers in journals and at international and national conferences. His areas of interest lie in image processing, speech processing, artificial intelligence, machine learning, deep learning, Intelligent Traffic Monitoring System, the Internet of Things (IoT), and robotics and automation.
Nitendra Kumar, PhD, an accomplished scholar with a PhD in Mathematics from Sharda University and a master's degree in mathematics and Statistics from Dr. Ram Manohar Lohia Avadh University, boasts over a decade of expertise as an Assistant Professor at Amity Business School, Amity University, Noida. His diverse research interests encompass Wavelets and its Variants, Data Mining, Inverse Problems, Epidemic Modelling, Fractional Derivatives Business Analytics, and Statistical Methods, reflecting a profound commitment to advancing knowledge across multiple domains. Dr. Kumar's prolific contributions to academia are evidenced by his extensive publication record, comprising over 30 research papers in esteemed journals, 16 book chapters, and 12 authored books on engineering mathematics, computation, and Business Analytics and related topics. Notably, his scholarly impact extends beyond traditional research avenues, as evidenced by his involvement in patenting two innovative solutions. Beyond his individual achievements, Dr. Kumar actively engages with the academic community, serving as editor for two edited books and as Guest Editor for reputable journals like the Journal of Information and Optimization Sciences, Journal of Statistical and Management Sciences, and Environment and Social Psychology. His editorial roles underscore his dedication to fostering intellectual discourse and shaping the trajectory of scholarly inquiry. Dr Nitendra Kumar epitomizes academic excellence, blending profound expertise with a steadfast commitment to advancing mathematical knowledge and its interdisciplinary applications.
Santosh Kumar, PhD, is Assistant Professor in the Department of Mathematics, Sharda School of Basic Sciences and Research, Sharda University, Greater Noida, India. He obtained his Ph.D. degree from Aligarh Muslim University Aligarh, in 2016. He is actively involved in the research areas, namely nonlinear partial differential equations, diffusion models, wavelet transform, mathematical modeling, image processing, etc. He has taught undergraduate subjects such as linear algebra, differential equations, complex analysis, advanced calculus, and probability and statistics. He has taught real analysis, topology, functional analysis, partial differential equations, and many more at the post-graduation level. Besides attending, presenting scientific papers, delivering invited talks, and chairing sessions at national/international conferences and seminars, he has organized several workshops and conferences as an organizing secretary. He has published many research papers in reputed national and international journals and book chapters published in an edited book published by international publishers. He is also reviewer of many reputed journals.
作者簡介(中文翻譯)
**Padmesh Tripathi, PhD** 於印度大北方邦大諾伊達的沙達大學完成了他的博士學位。目前,Tripathi 博士在印度大諾伊達的德里技術校區的艾滋病系擔任數學教授。他擁有超過 23 年的教學經驗,已在知名期刊和出版社發表了 22 篇論文/書章,並擁有 4 項印度創新專利。他的研究領域包括數據科學、機器學習、逆問題、優化、信號/圖像處理等。Tripathi 博士被《馬奎斯誰是誰》列入終身成就名單,並獲得了 2021 年 SEMS 基金會(印度大諾伊達)頒發的最佳學者獎。Tripathi 博士曾與多家知名出版社如 IGI Global、Wiley-Scrivener、Taylor & Francis、Elsevier、Springer、Inderscience 等以作者、審稿人、編輯、客座編輯等多種身份合作。他曾獲得來自劍橋大學(英國)、加州大學洛杉磯分校(美國)、法國索非亞安提波利斯的 INRIA、芬蘭東部大學(庫奧皮奧)、奧地利林茨的 RICAM 等知名機構的資助,並造訪過這些地方。
**Mritunjay Rai, PhD** 在印度達漢巴德的印度科技學院-ISM 完成了電氣工程系的熱成像應用博士學位,並在比爾拉科技學院-梅斯拉(印度朗齊)獲得優異的儀器與控制碩士學位,以及在拉克瑙的施里·拉姆斯瓦魯普紀念工程與管理學院獲得電子與通信工程學士學位。目前,Rai 博士在印度巴拉班基的施里·拉姆斯瓦魯普紀念大學擔任助理教授。Rai 博士在研究和學術方面擁有超過 12 年的工作經驗。此外,他還指導了多個本科和研究生項目。他在 Springer、Elsevier、IEEE、Inderscience 和 MECS 等知名期刊上發表了許多研究文章,並為 Intech Open Access、CRC、IGI Global 和 Elsevier 出版的書籍貢獻了多個章節。他是由知名出版社 Wiley、AAP、NOVA 和 IGI 出版的書籍的編輯,並且是一名活躍的審稿人,已在期刊和國際及國內會議上審閱了許多研究論文。他的研究興趣包括圖像處理、語音處理、人工智慧、機器學習、深度學習、智能交通監控系統、物聯網(IoT)以及機器人與自動化。
**Nitendra Kumar, PhD** 是一位成就卓越的學者,擁有沙達大學的數學博士學位,以及來自拉姆·馬諾哈爾·洛希亞阿瓦德大學的數學與統計碩士學位,並在阿米提商學院(阿米提大學,印度諾伊達)擔任助理教授,擁有超過十年的專業經驗。他的研究興趣涵蓋小波及其變體、數據挖掘、逆問題、流行病建模、分數導數商業分析和統計方法,顯示出他對多個領域知識進步的深刻承諾。Kumar 博士在學術界的豐碩貢獻體現在他廣泛的出版記錄上,包括在知名期刊上發表超過 30 篇研究論文、16 篇書章和 12 本關於工程數學、計算和商業分析及相關主題的著作。值得注意的是,他的學術影響力超越了傳統的研究途徑,因為他參與了兩項創新解決方案的專利申請。除了個人成就外,Kumar 博士還積極參與學術社群,擔任兩本編輯書籍的編輯,以及《信息與優化科學期刊》、《統計與管理科學期刊》和《環境與社會心理學期刊》等知名期刊的客座編輯。他的編輯角色突顯了他促進智識交流和塑造學術探究軌跡的奉獻精神。Nitendra Kumar 博士體現了學術卓越,將深厚的專業知識與推進數學知識及其跨學科應用的堅定承諾相結合。
**Santosh Kumar, PhD** 是印度大諾伊達沙達大學基礎科學與研究學院數學系的助理教授。他於 2016 年在阿利格爾穆斯林大學獲得博士學位。他積極參與非線性偏微分方程、擴散模型、小波變換、數學建模、圖像處理等研究領域。他教授過本科課程,如線性代數、微分方程、複變分析、高等微積分以及概率與統計。他在研究生層次教授過實分析、拓撲學、泛函分析、偏微分方程等多門課程。除了參加、發表科學論文、進行邀請演講和主持國內/國際會議及研討會的會議外,他還作為組織秘書組織了多個工作坊和會議。他在知名的國內外期刊上發表了許多研究論文,並在國際出版社出版的編輯書籍中發表了書章。他也是多本知名期刊的審稿人。