Explainable Artificial Intelligence for Smart Cities

ISBN-13: 9781032001128 / Angielski / Twarda / 2021 / 350 str.

Mohamed Lahby; Utku Kose; Akash Kumar Bhoi

Opis

The objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart city development. This book provides a timely, global reference source about cutting edge research efforts to ensure the XAI factor in smart city-oriented developments.

Spis treści

Contributors. 1 An Overview of Explainable Artificial Intelligence (XAI) from a Modern Perspective. 2 Explainable Artificial Intelligence for Services Exchange in Smart Cities. 3 IoT- and XAI-Based Smart Medical Waste Management. 4 The Impact and Usage of Smartphone among Generation Z: A Study Based on Data Mining Techniques. 5 Explainable Artificial Intelligence: Guardian for Cancer Care. 6 ANN-Based Brain Tumor Classification: Performance Analysis Using K-Means and FCM Clustering with Various Training Functions. 7 Recognition of the Most Common Trisomies through Automated Identification of Abnormal Metaphase Chromosome Cells. 8 Smart Learning Solutions for Combating COVID-19. 9 An Analysis of Machine Learning for Smart Transportation System (STS). 10 Classification of Kinematic Data Using Explainable Artificial Intelligence (XAI) for Smart Motion. 11 Smart Urban Traffic Management for an Efficient Smart City. 12 Systematic Comparison of Feature Selection Methods for Solar Energy Forecasting. 13 Indoor Environment Assistance Navigation System Using Deep Convolutional Neural Networks. 14 Pixel-Based Classification of Land Use/Land Cover Built-Up and Non-Built-Up Areas Using Google Earth Engine in an Urban Region (Delhi, India). 15 Emergence of Smart Home Systems Using IoT: Challenges and Limitations. 16 Acceptance of Blockchain in Smart City Governance from the User Perspective. 17 Explainable AI in Machine/Deep Learning for Intrusion Detection in Intelligent Transportation Systems for Smart Cities. 18 Real-Time Identity Censorship of Videos to Enable Live Telecast Using NVIDIA Jetson Nano. 19 Smart Cities’ Information Security: Deep Learning-Based Risk Management. Index.

O autorze

Mohamed LAHBY is Associate Professor at the Higher Normal School (ENS) University Hassan II of Casablanca, Morocco. His PhD in Computer Science from Faculty of Sciences and Technology of Mohammedia, University Hassan II of Casablanca, in 2013. His research interests are wireless communication and network, mobility management, QoS/QoE, Internet of things, Smart cities, Optimization and Machine learning. He has published more than 35 papers (book chapters, international journals, and conferences), 1 edited book, and 1 authored book. He has served and continues to serve on executive and technical program committees of numerous international conferences such as IEEE PIMRC, ICC, NTMS, IWCMC, WINCOM, ISNCC. He also serves as a referee of many prestigious Elsevier journals : Ad Hoc Networks, Applied Computing and Informatics and International journal of disaster risk reduction. He organized and participated more than 40 conferences and workshops. He is the chair of many international workshops and special sessions such as MLNGSN’19, CSPSC’19, MLNGSN’20, AI2SC ’20 and WCTCP’20. Utku Kose received the B.S. degree in 2008 from computer education of Gazi University, Turkey as a faculty valedictorian. He received M.S. degree in 2010 from Afyon Kocatepe University, Turkey in the field of computer and D.S. / Ph. D. degree in 2017 from Selcuk University, Turkey in the field of computer engineering. Between 2009 and 2011, he has worked as a Research Assistant in Afyon Kocatepe University. Following, he has also worked as a Lecturer and Vocational School – Vice Director in Afyon Kocatepe University between 2011 and 2012, as a Lecturer and Research Center Director in Usak University between 2012 and 2017, and as an Assistant Professor in Suleyman Demirel University between 2017 and 2019. Currently, he is an Associate Professor in Suleyman Demirel University, Turkey. He has more than 100 publications including articles, authored and edited books, proceedings, and reports. He is also in editorial boards of many scientific journals and serves as one of the editors of the Biomedical and Robotics Healthcare book series by CRC Press. His research interest includes artificial intelligence, machine ethics, artificial intelligence safety, optimization, the chaos theory, distance education, e-learning, computer education, and computer science. AKASH KUMAR BHOI has completed his B.Tech. (Biomedical Engineering) from Trident Academy of Technology, BPUT University, Odisha and M.Tech. (Biomedical Instrumentation) from Karunya University, Coimbatore in the year 2009 and 2011 respectively. In 2019 he is awarded Ph.D. in the area of Biomedical Signal Processing from Dept. of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, India. He is working as Assistant Professor-I in the Department of Electrical and Electronics Engineering at Sikkim Manipal Institute of Technology (SMIT), India since 2012. He is the University Ph.D. Course Coordinator for “Research & Publication Ethics (RPE)”. He is member of IEEE, ISEIS and IAENG, associate member of IEI, UACEE and editorial board member reviewer of Indian and international journals. He is also a regular reviewer of journals of repute namely IEEE, Springer, Elsevier, Taylor and Francis, Inderscience etc. His areas of research are biomedical signal processing, medical image processing, sensors and transducers, and medical instrumentation. He has published several papers in national and international journals and conferences. He has 90+ documents registered in Scopus database. He has also served on numerous organizing panels for the international conferences and workshops. He is currently editing several books with Springer Nature and serving as Guest editor for special issues of the journal like Springer Nature and Inderscience.