[HTML][HTML] The big picture on the internet of things and the smart city: a review of what we know and what we need to know

A Rejeb, K Rejeb, S Simske, H Treiblmaier, S Zailani - Internet of Things, 2022 - Elsevier
This study examines how the application of the IoT in smart cities is discussed in the current
academic literature. Based on bibliometric techniques, 1,802 articles were retrieved from the …

Cybersecurity data science: an overview from machine learning perspective

IH Sarker, ASM Kayes, S Badsha, H Alqahtani… - Journal of Big …, 2020 - Springer
In a computing context, cybersecurity is undergoing massive shifts in technology and its
operations in recent days, and data science is driving the change. Extracting security …

The rotten apples of Brazil's agribusiness

R Rajão, B Soares-Filho, F Nunes, J Börner… - Science, 2020 - science.org
In the increasingly polarized international political arena, it has become difficult to find
common ground to solve Brazil's ongoing environmental crisis, which has global as well as …

Digital transformation and SMART-the analytics factor

MM El Khatib, HM Alzoubi, G Ahmed… - … for Technology and …, 2022 - ieeexplore.ieee.org
E-government has been a growing trend today, reflecting the increased adoption of
technological innovation by several countries. For instance, a report from The United …

Contributions and risks of artificial intelligence (AI) in building smarter cities: Insights from a systematic review of the literature

T Yigitcanlar, KC Desouza, L Butler, F Roozkhosh - Energies, 2020 - mdpi.com
Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the
use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban …

Machine learning in cybersecurity: Techniques and challenges

J Bharadiya - European Journal of Technology, 2023 - ajpojournals.org
In the computer world, data science is the force behind the recent dramatic changes in
cybersecurity's operations and technologies. The secret to making a security system …

[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey

M Abbasi, A Shahraki, A Taherkordi - Computer Communications, 2021 - Elsevier
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …

Smart home security: challenges, issues and solutions at different IoT layers

H Touqeer, S Zaman, R Amin, M Hussain… - The Journal of …, 2021 - Springer
Abstract The Internet of Things is a rapidly evolving technology in which interconnected
computing devices and sensors share data over the network to decipher different problems …

[HTML][HTML] Solving the product uncertainty hurdle in social commerce: The mediating role of seller uncertainty

AS Al-Adwan, H Yaseen - International Journal of Information Management …, 2023 - Elsevier
Social commerce, which combines the transactional side of e-commerce with social
interactions, has grown in popularity throughout the last years. Despite the fact that the issue …

Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions

S Ahmad, I Shakeel, S Mehfuz, J Ahmad - Computer Science Review, 2023 - Elsevier
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …