Titlebook: Computational Intelligence Techniques for Green Smart Cities; Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh Book 2022 The Editor(s) (if applic

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Machine Learning for Green Smart Homes of sources, such as smart metres, sensors and other devices. Machine learning encompasses several techniques to process and visualise data. Each technique is specifically suited to certain data types and problems, whether it be supervised, unsupervised or reinforcement learning. These techniques ca

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Artificial Intelligence Based Smart Waste Management—A Systematic Reviewl intelligence offers various approaches which can help to construct smart waste management systems. AI based systems are used  to tackle complicated problems, handle uncertainty, and exhibit the efficiency of smart systems. This article aims to conduct systematic literature review on artificial int

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Green Transportation Balanced Scorecard Model: A Fuzzy-Delphi Approach During COVID-19green transportation performance evaluation using the Balanced Scorecard. We propose a set of indicators to evaluate green transportation. These indicators are selected based on Fuzzy-Delphi method following different quantitative judgments of experts. The various criteria are related to the green t

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Green Smart City Intelligent and Cyber-Security-Based IoT Transportation Solutions for Combating then smart city intelligence and safety to fight against the COVID-19 pandemic. For this, we have realized a model that allows transporting citizens via a means of transportation based on electric mobility to reduce energy consumption, reduce CO. emission and cost by searching the optimal path that thi

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Deep Learning-Based Convolutional Neural Network with Cuckoo Search Optimization for MRI Brain Tumou computing, remote sensing, secured image data communication, biomedical imaging and content-based image restoration. The medical image processing is the process and technique where the human body images are created for the purpose of medical field to examine, reveal or diagnose the diseases. The in

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Role of Deep Learning for Smart Health Careuter vision, natural language processing, speech recognition, bioinformatics, and smart health care. Acquiring information and significant knowledge from complex, high-dimensional, and heterogeneous biomedical data sources remains a critical test in changing health care. Different kinds of data have

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