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Guest Editorial Introduction to the Special Issue on Deep Learning Models for Safe and Secure Intelligent Transportation Systems

Alireza Jolfaei, Neeraj Kumar, Min Chen, Krishna Kant
2021 IEEE transactions on intelligent transportation systems (Print)  
He was a Research Professor with the Center for Secure Information Systems, George Mason University.  ...  He is currently a Professor with the Department of Computer and Information Science, Temple University, Philadelphia, PA, USA, where he directs the IUCRC Center on Intelligent Storage.  ...  the security problem of intelligent transportation system with deep learning."  ... 
doi:10.1109/tits.2021.3090721 fatcat:c2o2vno6bjbnxdn6y4zm7ztmvq

Role of Technology in the Development of Smart Cities

Md. Shelim Miah, Ruhul Amin
2020 Engineering International  
Along with a theoretical structure focused on the information community, an overview of the smart city idea is included.  ...  The key aim of this paper is to address the technical effects of smart city growth.  ...  The sections below discuss the various ways Artificial Intelligence, Internet of Things, Machine Learning and Deep Learning can be used to solve the various problems and support the development of Smart  ... 
doi:10.18034/ei.v8i1.495 fatcat:hno3gwmatzg2neixoqaolww4du

Table of contents

2021 IEEE transactions on intelligent transportation systems (Print)  
Hang Solving the Security Problem of Intelligent Transportation System With Deep Learning .................................. ............................................................................  ...  Mehmood Introduction to the Special Issue on Deep Learning Models for Safe and Secure Intelligent Transportation Systems ....................................................................... A.  ... 
doi:10.1109/tits.2021.3090975 fatcat:6u4yflow6fgdlen2qtrj6xfoca

IEEE Access Special Section Editorial: Artificial Intelligence (AI)-Empowered Intelligent Transportation Systems

Edith Ngai, Chao Chen, Amr M. Tolba, Mohammad S. Obaidat, Fanzhao Wang
2021 IEEE Access  
EDITORIAL IEEE ACCESS SPECIAL SECTION EDITORIAL: ARTIFICIAL INTELLIGENCE (AI)-EMPOWERED INTELLIGENT TRANSPORTATION SYSTEMS The topic of Artificial Intelligence (AI)-Empowered Intelligent Transportation  ...  Systems (ITS) has drawn more attention recently, with the rapid development of ubiquitous networks and smart vehicles.  ...  He is currently a Full Professor with the College of Computer Science, Chongqing University, Chongqing, China. He has published over 100 articles, including 20 in IEEE TRANSACTIONS.  ... 
doi:10.1109/access.2021.3074996 fatcat:dfyrghfswff6vmdlpa55jxtkjm

Guest editorial: Collaborative intelligence for vehicular Internet of Things

Celimuge Wu, Kok-Lim Alvin Yau, Carlos Tavares Calafate, Lei Zhong
2021 China Communications  
Some collaborative learning approaches, such as federated learning and multi-agent systems, have been used to reduce network traffic and improve the learning efficiency of some smartphone applications.  ...  At the same time, novel services such as cooperative autonomous driving and intelligent transportation systems (ITS), that demand unprecedented high accuracy, ultra-low latency, and large bandwidth, are  ...  , which aims to solve the routing and data security problem.  ... 
doi:10.23919/jcc.2021.9495349 fatcat:3zybrihi4ze37lvmokf7yqjtlu

Artificial Intelligence in Cyber Security

Matthew N. O. Sadiku, Omobayode I. Fagbohungbe, Sarhan M. Musa
2020 International Journal of Engineering Research and Advanced Technology  
By combining the strength of artificial intelligence with cybersecurity, security experts are more capable to defend vulnerable networks and data from cyber attackers.  ...  Cybersecurity is the process of protecting computer networks from cyber attacks or unintended unauthorized access. It is the need of the hour.  ...  , with each layer solving different pieces of a complex problem.  ... 
doi:10.31695/ijerat.2020.3612 fatcat:eac7swj2vfe73k6ao5p7bltf7a

Special Issue on Intelligent Edge Computing for Cyber Physical and Cloud Systems

Prof. Weijia Jia, Prof. Geyong Min, Prof. Yang Xiang, Dr. Arun Kumar Sangaiah
2019 ACM Transactions on Intelligent Systems and Technology  
The intelligent computing and storage on edge devices offer the potential to solve the communication problem, real-time problem, and security problem.  ...  In this research, the author has investigated two-sided matching scheme and a deep reinforcement learning to solve sub-optimization problems.  ...  In the next article, "Lightweight Convolution Neural Networks for Mobile Edge Computing in Transportation Cyber Physical Systems," Dai, Hong-Ning et al. design and develop a lightweight deep learning model  ... 
doi:10.1145/3372277 fatcat:uamjbttmsvgfpllhgadcdk75ea

Recent Advances in Blockchain and Artificial Intelligence Integration: Feasibility Analysis, Research Issues, Applications, Challenges, and Future Work

Zhonghua Zhang, Xifei Song, Lei Liu, Jie Yin, Yu Wang, Dapeng Lan, Neeraj Kumar
2021 Security and Communication Networks  
We first introduce the background of artificial intelligence and the concept, characteristics, and key technologies of blockchain and subsequently analyze the feasibility of combining blockchain with artificial  ...  Blockchain constructs a distributed point-to-point system, which is a secure and verifiable mechanism for decentralized transaction validation and is widely used in financial economy, Internet of Things  ...  integrated with machine learning Vaccine supervision and recommendation [56] 2020 Proposed a smart tram charging system based on consortium blockchain Solve the problem of independent operation of energy  ... 
doi:10.1155/2021/9991535 fatcat:wsklb4ycojcoxkoagvnxuhlkza

IEEE Access Special Section Editorial: Big Data Technology and Applications in Intelligent Transportation

Sabah Mohammed, Hamid R. Arabnia, Xiaobo Qu, Dalin Zhang, Tai-Hoon Kim, Jiandong Zhao
2020 IEEE Access  
center model to solve the problem associated with perishable characteristics of refrigerated food.  ...  information collected by the emerging spatial crowdsourcing (SC) of intelligent transportation systems.  ... 
doi:10.1109/access.2020.3035440 fatcat:r3i3wkhttndbjnyciux3xuny3a

Guest Editorial: AI-Empowered Mobile Edge Computing in the Internet of Vehicles

Jun Huang, Jalel Ben Othman, Shiqiang Wang, Ricky Y. K. Kwok, Victor C. M. Leung, Wei Sun
2021 IEEE Network  
learning methods in Intelligent Transportation Systems.  ...  It paves the way for the establishment of intelligent transportation systems and smart cities.  ...  learning methods in Intelligent Transportation Systems.  ... 
doi:10.1109/mnet.2021.9454596 fatcat:b5o6zzcdirfr3lwews6eziyoqe

Guest Editorial: Intelligent Transportation Systems in Smart Cities for Sustainable Environments (SCfSE)

2020 IET Intelligent Transport Systems  
and route correction can solve the problem of error routes.  ...  This Special Issue on 'Intelligent Transportation Systems in Smart Cities for Sustainable Environments' focuses on building a transportation system with sustainable development in constructing smart cities  ... 
doi:10.1049/iet-its.2020.0556 fatcat:bqdo2oxaofh3jmtn2exsi6wtha

Exploring the Area of Artificial Intelligence

Mangesh Nayak, Shylesh Prabhu, Chaitra B S
2019 Zenodo  
Artificial intelligence is another branch of computer science which aims to develop the machine with human alike intelligence. Artificial intelligence is also has a short name as AI.  ...  Artificial intelligence field was founded to mimic the central property of human being that is intelligence.  ...  The major objective of deep learning is to create a nerve network using the algorithm that can solve the problems it has been given.  ... 
doi:10.5281/zenodo.3236626 fatcat:wa65bawjyfg37ai4l2hnq5s32u

Applications of Deep Learning Techniques for Pedestrian Detection in Smart Environments: A Comprehensive Study

Fen He, Paria Karami Olia, Rozita Jamili Oskouei, Morteza Hosseini, Zhihao Peng, Touraj BaniRostam, Chunjia Han
2021 Journal of Advanced Transportation  
in this study, we focused on the use of deep learning techniques to identify pedestrians for the development of intelligent transportation systems and self-driving cars and pedestrian identification in  ...  Intelligent transportation systems have been very well received by car companies, people, and governments around the world.  ...  [17] investigated the application of deep learning models in intelligent transportation systems.  ... 
doi:10.1155/2021/5549111 fatcat:64ok37zu4vgbtoum3yxpmgm464

Research and Implementation of the Text Matching Algorithm in the Field of Housing Law and Policy Based on Deep Learning

Yin Xu, Hong Ma, Muhammad Javaid
2021 Complexity  
It can be seen that the legal system of housing security is essentially a system to solve the social problems brought by housing marketization, and it is an important part of the whole national housing  ...  Aiming at the deep learning problem, a text matching algorithm suitable for the field of housing law and policy is proposed.  ...  learning algorithm better solves the efficiency problem of deep learning and allows deep learning to better realize the effective modeling of multiple types of complex intelligence problems.  ... 
doi:10.1155/2021/3165600 fatcat:epzlj7tokvg4fdvn4knk3hcspa

The upsurge of deep learning for computer vision applications

Priyanka Patel, Amit Thakkar
2020 International Journal of Electrical and Computer Engineering (IJECE)  
The era is reconstructing big business and has been on the rise in recent years which has grounded with the success of deep learning (DL).  ...  DL is heavily employed in each academe to review intelligence and within the trade-in building intelligent systems to help humans in varied tasks.  ...  Unsupervised deep learning tools-create general systems that can be trained with tiny amount of data.  ... 
doi:10.11591/ijece.v10i1.pp538-548 fatcat:nrfxnr73azbqrjl6fx7747rmpm
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