Potential sources of sensor data anomalies for autonomous vehicles: An overview from road vehicle safety perspective

X Zhao, Y Fang, H Min, X Wu, W Wang… - Expert Systems with …, 2024 - Elsevier
Outstanding steps towards intelligent transportation systems with autonomous vehicles have
been taken in the past few years. Nevertheless, the safety issue in autonomous vehicles is …

[HTML][HTML] Computer vision in smart agriculture and precision farming: Techniques and applications

S Ghazal, A Munir, WS Qureshi - Artificial Intelligence in Agriculture, 2024 - Elsevier
The transformation of age-old farming practices through the integration of digitization and
automation has sparked a revolution in agriculture that is driven by cutting-edge computer …

Situational awareness: techniques, challenges, and prospects

A Munir, A Aved, E Blasch - AI, 2022 - mdpi.com
Situational awareness (SA) is defined as the perception of entities in the environment,
comprehension of their meaning, and projection of their status in near future. From an Air …

Artificial intelligence and advanced materials

C López - Advanced Materials, 2023 - Wiley Online Library
Artificial intelligence (AI) is gaining strength, and materials science can both contribute to
and profit from it. In a simultaneous progress race, new materials, systems, and processes …

Artificial neural network in prediction of mixed-mode I/II fracture load

B Bahrami, H Talebi, MR Ayatollahi… - International Journal of …, 2023 - Elsevier
The current research demonstrates the application of artificial neural network (ANN) in
predicting the fracture under mixed-mode I/II loadings. To this end, based on the analysis of …

Data fusion in agriculture: Resolving ambiguities and closing data gaps

JGA Barbedo - Sensors, 2022 - mdpi.com
Acquiring useful data from agricultural areas has always been somewhat of a challenge, as
these are often expansive, remote, and vulnerable to weather events. Despite these …

Vit-ret: Vision and recurrent transformer neural networks for human activity recognition in videos

J Wensel, H Ullah, A Munir - IEEE Access, 2023 - ieeexplore.ieee.org
Human activity recognition is an emerging and important area in computer vision which
seeks to determine the activity an individual or group of individuals are performing. The …

FogSurv: A fog-assisted architecture for urban surveillance using artificial intelligence and data fusion

A Munir, J Kwon, JH Lee, J Kong, E Blasch… - IEEE …, 2021 - ieeexplore.ieee.org
Urban surveillance, of which airborne urban surveillance is a vital constituent, provides
situational awareness (SA) and timely response to emergencies. The significance and …

Opportunities, applications, and challenges of edge-AI enabled video analytics in smart cities: a systematic review

E Badidi, K Moumane, F El Ghazi - IEEE Access, 2023 - ieeexplore.ieee.org
Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …

[HTML][HTML] Improving cloud/edge sustainability through artificial intelligence: A systematic review

B Bermejo, C Juiz - Journal of Parallel and Distributed Computing, 2023 - Elsevier
In recent years, the increase in the use of services in cloud, fog, edge, and IoT ecosystems
has been very notable. On the one hand, environmental sustainability is affected by this type …