Machine Intelligence and Signal Processing: Proceedings of International Conference, Misp 2019
暫譯: 機器智慧與信號處理：2019年國際會議論文集
Agarwal, Sonali, Verma, Shekhar, Agrawal, Dharma P.
- 出版商: Springer
- 出版日期: 2020-02-26
- 售價: $8,670
- 貴賓價: 9.5 折 $8,237
- 語言: 英文
- 頁數: 466
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9811513651
- ISBN-13: 9789811513657
海外代購書籍(需單獨結帳)
商品描述
This book features selected high-quality research papers presented at the International Conference on Machine Intelligence and Signal Processing (MISP 2019), held at the Indian Institute of Technology, Allahabad, India, on September 7-10, 2019. The book covers the latest advances in the fields of machine learning, big data analytics, signal processing, computational learning theory, and their real-time applications. The topics covered include support vector machines (SVM) and variants like least-squares SVM (LS-SVM) and twin SVM (TWSVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. Further, it discusses the real-time challenges involved in processing big data and adapting the algorithms dynamically to improve the computational efficiency. Lastly, it describes recent developments in processing signals, for instance, signals generated from IoT devices, smart systems, speech, and videos and addresses biomedical signal processing: electrocardiogram (ECG) and electroencephalogram (EEG).
商品描述(中文翻譯)
本書收錄了在2019年9月7日至10日於印度阿拉哈巴德的印度理工學院舉行的國際機器智慧與信號處理會議（MISP 2019）上發表的高品質研究論文。該書涵蓋了機器學習、大數據分析、信號處理、計算學習理論及其即時應用領域的最新進展。所討論的主題包括支持向量機（Support Vector Machines, SVM）及其變體，如最小二乘支持向量機（Least-Squares SVM, LS-SVM）和雙支持向量機（Twin SVM, TWSVM）、極限學習機（Extreme Learning Machine, ELM）、人工神經網絡（Artificial Neural Network, ANN）以及機器學習的其他領域。此外，本書還探討了處理大數據時所面臨的即時挑戰，以及如何動態調整算法以提高計算效率。最後，本書描述了信號處理的最新發展，例如來自物聯網設備、智慧系統、語音和視頻生成的信號，並涉及生物醫學信號處理，包括心電圖（Electrocardiogram, ECG）和腦電圖（Electroencephalogram, EEG）。
作者簡介
Dr. Sonali Agarwal is Associate Professor at Indian Institute of Information Technology Allahabad, Prayagraj, U.P., India. Her main research areas are data mining, software engineering and machine learning. She has published several research papers in academic journals and international proceedings. She has served as a guest editor for special issues in several journals, program committee member for many conferences and chaired several conferences. She also organized several national/international workshops and conferences. She is a senior member of IEEE and a member of IEEE CIS and ACM.
Prof. Shekhar Verma is a Professor at Indian Institute of Information Technology Allahabad, Prayagraj, U.P., India. His main research areas are wireless sensor network, cryptography, cloud computing and machine learning. He has published several papers in academic journals and international proceedings. He has served as a guest editor for special issues in several journals, program committee member for many conferences and chaired several conferences. He also organized several national/international workshops and conferences. Dharma P. Agrawal has been the OBR Distinguished Professor at the University of Cincinnati, since August 1998. He is co-author of textbooks Introduction to Wireless and Mobile System (4th edition), and Ad hoc and Sensor Networks (2nd edition), co-edited Encyclopedia on Ad Hoc and Ubiquitous Computing, and Embedded Sensor Systems. He is the Fellow of IEEE, ACM, AAAS, NAI, IACSIT, and WIF. He is a Golden Core member of the IEEE-CS and recipient of the IEEE Third Millennium Medal. He has published over 684 articles, 42 keynote speeches, 67 intensive courses, 8 patents and 25 invention disclosures, supervised 75 Ph.D. dissertations and led UCBT Bluetooth package. He has been on the editorial boards of IEEE Transactions on Computers, IEEE Computer, Journal of High Speed Computing, JPDC, and is serving IJCN, JECE, IJSIA, IJDSN, IJAHUC, IJAHSWN, JDSN, and IJWMC and founding EIC of the Central European Journal of Computer Science. He is Editor-in-Chief for the Journal of Sensor and Actuator Networks. His research interests include applications of sensor networks in monitoring Parkinsons disease patients and neurosis, applications of sensor networks in monitoring fitness of athletes personnel wellness, applications of sensor networks in monitoring firefighters physical condition in action, efficient secured communication in Sensor networks, secured group communication in Vehicular Networks, use of Femto cells in LTE technology and interference issues, heterogeneous wireless networks, and resource allocation and security in mesh networks for 4G technology.作者簡介(中文翻譯)
索納莉·阿卡瓦爾博士是印度普拉亞格拉傑印度信息技術學院的副教授。她的主要研究領域包括數據挖掘、軟體工程和機器學習。她在學術期刊和國際會議上發表了多篇研究論文。她曾擔任多個期刊的特刊客座編輯，並擔任多個會議的程序委員會成員，還主持過多個會議。她還組織了多個國內/國際研討會和會議。她是IEEE的資深會員，也是IEEE CIS和ACM的成員。
謝卡爾·維爾瑪教授是印度普拉亞格拉傑印度信息技術學院的教授。他的主要研究領域包括無線感測器網路、密碼學、雲計算和機器學習。他在學術期刊和國際會議上發表了多篇論文。 他曾擔任多個期刊的特刊客座編輯，並擔任多個會議的程序委員會成員，還主持過多個會議。他還組織了多個國內/國際研討會和會議。
Dharma P. Agrawal自1998年8月以來一直擔任辛辛那提大學的OBR傑出教授。他是《無線與移動系統導論》（第4版）和《臨時網路與感測器網路》（第2版）教科書的共同作者，並共同編輯了《臨時和無處不在計算的百科全書》和《嵌入式感測器系統》。他是IEEE、ACM、AAAS、NAI、IACSIT和WIF的會士。他是IEEE-CS的黃金核心成員，也是IEEE第三千年獎的獲得者。他發表了超過684篇文章、42場主題演講、67門密集課程、8項專利和25項發明披露，指導了75篇博士論文並領導了UCBT藍牙套件。他曾擔任《IEEE計算機學報》、《IEEE計算機》、《高速計算期刊》、《JPDC》的編輯委員會成員，並在《IJCN》、《JECE》、《IJSIA》、《IJDSN》、《IJAHUC》、《IJAHSWN》、《JDSN》和《IJWMC》擔任編輯委員會成員，並是《中歐計算機科學期刊》的創始主編。他是《感測器與執行器網路期刊》的主編。他的研究興趣包括感測器網路在監測帕金森病患者和神經症方面的應用、感測器網路在監測運動員健康狀況方面的應用、感測器網路在監測消防員在行動中身體狀況的應用、感測器網路中的高效安全通信、車輛網路中的安全群組通信、LTE技術中Femto小區的使用及干擾問題、異質無線網路，以及4G技術中網狀網路的資源分配和安全性。
