Cyber-physical system security based on human activity recognition through IoT cloud computing

S Achar, N Faruqui, M Whaiduzzaman, A Awajan… - Electronics, 2023 - mdpi.com
Cyber-physical security is vital for protecting key computing infrastructure against cyber
attacks. Individuals, corporations, and society can all suffer considerable digital asset losses …

[HTML][HTML] An autonomous decision-making framework for gait recognition systems against adversarial attack using reinforcement learning

M Maqsood, S Yasmin, S Gillani, F Aadil, I Mehmood… - ISA transactions, 2023 - Elsevier
Gait identification based on Deep Learning (DL) techniques has recently emerged as
biometric technology for surveillance. We leveraged the vulnerabilities and decision-making …

Advancement in the automation of paved roadways performance patrolling: A review

MS Islam, AM Ibrahim, KE Hoque, KA Bakhuraisa, U Ali… - Measurement, 2024 - Elsevier
This review critically analyzes available tools and techniques for road damage assessment
and monitoring and identifies further research areas. After the review, several are found for …

An effective detection and classification of road damages using hybrid deep learning framework

D Deepa, A Sivasangari - Multimedia Tools and Applications, 2023 - Springer
The monitoring of road surfaces is a critical thing in transport infrastructure management.
The manual reporting process increases the processing delay and causes challenges in …

Application of deep learning and unmanned aerial vehicle on building maintenance

RY Kung, NH Pan, CCN Wang… - Advances in Civil …, 2021 - Wiley Online Library
Several natural and human factors are responsible for the defacement of the external walls
and tiles of buildings, and the related deterioration can be a public safety hazard. Therefore …

Deep learning model for pothole detection and area computation

S Arjapure, DR Kalbande - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Pothole is the major type of structural defect found on road commonly generated due to
structure aging, large rainfall, dense traffic and thin or weak substructure, etc. Day by day …

A Review of Deep Learning Advancements in Road Analysis for Autonomous Driving

AP Botezatu, A Burlacu, C Orhei - Applied Sciences, 2024 - mdpi.com
The rapid advancement of autonomous vehicle technology has brought into focus the critical
need for enhanced road safety systems, particularly in the areas of road damage detection …

Implementation of an intelligent exam supervision system using deep learning algorithms

F Mahmood, J Arshad, MT Ben Othman, MF Hayat… - Sensors, 2022 - mdpi.com
Examination cheating activities like whispering, head movements, hand movements, or
hand contact are extensively involved, and the rectitude and worthiness of fair and unbiased …

Automatic assessment of roofs conditions using artificial intelligence (AI) and unmanned aerial vehicles (UAVs)

A Alzarrad, I Awolusi, MT Hatamleh… - Frontiers in Built …, 2022 - frontiersin.org
Building roof inspections must be performed regularly to ensure repairs and replacements
are done promptly. These inspections get overlooked on sloped roofs due to the inefficiency …

Deep learning to detect road distress from unmanned aerial system imagery

LNH Truong, OE Mora, W Cheng… - Transportation …, 2021 - journals.sagepub.com
Surface distress is an indication of poor or unfavorable pavement performance or signs of
impending failure that can be classified into a fracture, distortion, or disintegration. To …