Cyberattacks in smart grids: challenges and solving the multi-criteria decision-making for cybersecurity options, including ones that incorporate artificial intelligence …

AA Bouramdane - Journal of Cybersecurity and Privacy, 2023 - mdpi.com
Smart grids have emerged as a transformative technology in the power sector, enabling
efficient energy management. However, the increased reliance on digital technologies also …

[HTML][HTML] A Mini Review of the Impacts of Machine Learning on Mobility Electrifications

K Noor ali, M Hemmati, SM Miraftabzadeh… - Energies, 2024 - mdpi.com
Electromobility contributes to decreasing environmental pollution and fossil fuel
dependence, as well as increasing the integration of renewable energy resources. The …

AI in Transportation: Current and Promising Applications.

T Srinivas, G Mahalaxmi… - IUP Journal of …, 2022 - search.ebscohost.com
Artificial Intelligence (AI) is advancing rapidly, and this has improved the efficiency of many
businesses and industries, including the transportation industry. AI in transportation might …

Efficient Usage of Energy Infrastructure in Smart City Using Machine Learning

R Rajaan, BK Baishya, TV Rao… - … on Internet of Things, 2024 - publications.eai.eu
The concept of smart cities revolves around utilizing modern technologies to manage and
optimize city operations, including energy infrastructure. One of the biggest problems that …

[引用][C] Application of machine learning in tax prediction: A review with practical approaches

O Akinrinola, WA Addy… - Global Journal …, 2024 - Global Journal of Engineering and …

Unmanned aerial vehicle: Integration in healthcare sector for transforming interplay among smart cities

B Singh, C Kaunert - Cognitive Machine Intelligence - taylorfrancis.com
Unmanned aerial vehicle (UAV) integration in the healthcare industry has the potential to
trigger revolutionary shifts in how smart cities interact with one another. Because of their …

[PDF][PDF] Battle of the Algorithms: An Exposé on Classification Techniques in Machine Learning

TAS Srinivas, BT Thanmai, AD Donald… - Journal of Advancement … - researchgate.net
Machine learning has become a powerful tool in various domains, and practitioners are
constantly seeking real-life use cases to develop unique and practical projects. In this …

DoS Attacks Detection in the Network of Drones: An Efficient Decision Tree-Based Model

T Gaber, XF Guo, S Salloum - … Conference on Big Data Technology and …, 2021 - Springer
This study examines the detection of the denial of service (DoS) attacks on Wi-Fi-based
unmanned aerial vehicles (UAV). The paper proposed an efficient DoS attack detection …