W
Wadii Boulila
Researcher at Taibah University
Publications - 132
Citations - 2036
Wadii Boulila is an academic researcher from Taibah University. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 18, co-authored 89 publications receiving 777 citations. Previous affiliations of Wadii Boulila include University of Rennes & École nationale supérieure des télécommunications de Bretagne.
Papers
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Big data and IoT-based applications in smart environments: A systematic review
TL;DR: The results indicate that the integration of big data and IoT technologies creates exciting opportunities for real-world smart environment applications for monitoring, protection, and improvement of natural resources.
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Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions
TL;DR: This survey provides a review of the literature regarding the use of IoT and DL to develop smart cities and outlines the current challenges and issues faced during the development of smart city services.
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A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity.
TL;DR: In this paper, the authors conducted a systematic literature review to examine obesity research and machine learning techniques for the prevention and treatment of obesity from 2010 to 2020, and identified 93 papers from the review articles as primary studies from an initial pool of over 700 papers addressing obesity.
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A novel CNN-LSTM-based approach to predict urban expansion
TL;DR: Time-series satellite images representing the three largest cities in Saudi Arabia, namely: Riyadh, Jeddah, and Dammam, are used to predict urban expansion by using a ConvLSTM network, which can learn the global spatio-temporal information without shrinking the size of spatial feature maps.
Journal ArticleDOI
Chaos-based confusion and diffusion of image pixels using dynamic substitution
Abdullah Qayyum,Jawad Ahmad,Wadii Boulila,Saeed Rubaiee,Arshad,Fawad Masood,Fawad Khan,William J Buchanan +7 more
TL;DR: A new image encryption algorithm is presented using chaos theory and dynamic substitution based on two-dimensional Henon, Ikeda chaotic maps, and substitution box (S-box) transformation to prove the efficiency and security of the proposed scheme.