Explainable Artificial Intelligence for Smart Cities
Mohamed Lahby (Redaktør) ; Utku Kose (Redaktør) ; Akash Kumar Bhoi (Redaktør)
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The objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart city development. As recently designed, advanced smart systems require intense use of complex computational solutions (i.e., Deep Learning, Big Data, IoT architectures), the mechanisms of these systems become 'black-box' to users. As this means that there is no clear clue about what is going on within these systems, anxieties regarding ensuring trustworthy tools also rise. In recent years, attempts have been made to solve this issue with the additional use of XAI methods to improve transparency levels. This book provides a timely, global reference source about cutting-edge research efforts to ensure the XAI factor in smart city-oriented developments. The book includes both positive and negative outcomes, as well as future insights and the societal and technical aspects of XAI-based smart city research efforts.
This book contains nineteen contributions beginning with a presentation of the background of XAI techniques and sustainable smart-city applications. It then continues with chapters discussing XAI for Smart Healthcare, Smart Education, Smart Transportation, Smart Environment, Smart Urbanization and Governance, and Cyber Security for Smart Cities.
- FAKTA
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Utgitt:
2021
Forlag: Taylor & Francis Ltd
Innbinding: Innbundet
Språk: Engelsk
Sider: 350
ISBN: 9781032001128
Format: 25 x 18 cm
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Gi vurdering
Les vurderinger
1 An Overview of Explainable Artificial Intelligence (XAI) from a Modern Perspective
Ana Carolina Borges Monteiro, Reinaldo Padilha Franca, Rangel Arthur, and Yuzo Iano
2 Explainable Artificial Intelligence for Services Exchange in Smart Cities
Ossama Embarak
3 IoT- and XAI-Based Smart Medical Waste Management
Zineb Boudanga, Siham Benhadou, and Jean Philippe Leroy
4 The Impact and Usage of Smartphone among Generation Z: A Study Based on Data Mining Techniques
Mohamed Uwaiz Fathima Rushda and Lakshika S. Nawarathna
5 Explainable Artificial Intelligence: Guardian for Cancer Care
Vishal Ahuja
6 ANN-Based Brain Tumor Classification: Performance Analysis Using K-Means and FCM Clustering with Various Training Functions
A. Biswas and M.S. Islam
7 Recognition of the Most Common Trisomies through Automated Identification of Abnormal Metaphase Chromosome Cells
Reem Bashmail, Muna Al-Kharraz, Lamiaa A. Elrefaei, Wadee Alhalabi, and Mai Fadel
8 Smart Learning Solutions for Combating COVID-19
Jaspreet Kaur and Harpreet Singh
9 An Analysis of Machine Learning for Smart Transportation System (STS)
R. Dhaya and R. Kanthavel
10 Classification of Kinematic Data Using Explainable Artificial Intelligence (XAI) for Smart Motion
C.Y. Yong
11 Smart Urban Traffic Management for an Efficient Smart City
M. El Khaili, L. Terrada, A. Daaif, and H. Ouajji
12 Systematic Comparison of Feature Selection Methods for Solar Energy Forecasting
S. El Motaki and A. El-Fengour
13 Indoor Environment Assistance Navigation System Using Deep Convolutional Neural Networks
M. Afif, R. Ayachi, and M. Atri
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)
A. Kumar, A. Jain, B. Agarwal, M. Jain, P. Harjule, and R.A. Verma
15 Emergence of Smart Home Systems Using IoT: Challenges and Limitations
Nabeel Khan
16 Acceptance of Blockchain in Smart City Governance from the User Perspective
Emre Erturk, Dobrila Lopez, and Weiyang Yu
17 Explainable AI in Machine/Deep Learning for Intrusion Detection in Intelligent Transportation Systems for Smart Cities
Andria Procopiou and Thomas M. Chen
18 Real-Time Identity Censorship of Videos to Enable Live Telecast Using NVIDIA Jetson Nano
Shree Charran R. and Rahul Kumar Dubey
19 Smart Cities' Information Security: Deep Learning-Based Risk Management
W. Abbass, A. Baina, and M. Bellafkih
Index