Titlebook: Deep Learning and Big Data for Intelligent Transportation; Enabling Technologie Khaled R. Ahmed,Aboul Ella Hassanien Book 2021 The Editor(s

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Safer-Driving: Application of Deep Transfer Learning to Build Intelligent Transportation Systemson model to alleviate accidents due to deer on the road. We have implemented VGG-16 convolutional neural network architecture as a part of the structured transfer learning framework. Computational results show that high accuracy performance can be achieved by implementing VGG-16 with the respectivel

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Estimating Crowd Size for Public Place Surveillance Using Deep Learningotal number of people in a crowd image is needed for the hour. In this chapter, we have reviewed crowd count methods using state of art deep learning models for automated crowd count and their performance analysis on major crowd counting datasets.

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Synergy of Internet of Things with Cloud, Artificial Intelligence and Blockchain for Empowering Autocomputing model that has intensified the growth of information technology. It enchanted the sprout of IoT as it needs more storage for the data that are acquired from the objects. Another booming technology is artificial intelligence where the intelligence of machine is used for enabling smart tasks

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Combining Artificial Intelligence with Robotic Process Automation—An Intelligent Automation ApproachThe purpose of this chapter is to identify the set of challenges the companies will face, as well as provide guidance on what preparations to be made before Robotics 2.0 can be implemented in full scale. This also provides the insights about the new intelligent automation approach based on AI integr

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Big Data Technologies with Computational Model Computing Using Hadoop with Scheduling Challengesfrom the two scholastics and specialists. Big Data Analytics (BDA) is progressively turning into a moving practice that numerous associations embrace to build significant data from BD. The examination cycle, including the sending and utilization of BDA instruments, is seen by associations as a devic

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Big Data for Autonomous Vehiclesessential to make the vehicles capable of communication with their surroundings and other vehicles. This gives rise to the Vehicle-to-Everything (V2X) communication scenarios. Realization of V2X communication necessitates real-time intra and inter vehicle communication. Such communication involves h

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Night-to-Day Road Scene Translation Using Generative Adversarial Network with Structural Similarity oad lighting hinders the ability of drivers to perceive the road conditions as well as its objects which may lead to the accident. We address a problem of synthesizing day-time appearance from the night-time road scene using loss-modified generative adversarial network. Our approach basically makes