A guide to image and video based small object detection using deep learning: Case study of maritime surveillance

AM Rekavandi, L Xu, F Boussaid… - arXiv preprint arXiv …, 2022 - arxiv.org
Small object detection (SOD) in optical images and videos is a challenging problem that
even state-of-the-art generic object detection methods fail to accurately localize and identify …

A Survey on Adaptive Smart Urban Systems

JCN Bittencourt, DG Costa, P Portugal… - IEEE Access, 2024 - ieeexplore.ieee.org
The urbanisation of the last century has created a significant demand for urban areas to
deliver public services that are efficient, sustainable, and adaptable. This demand is further …

Internet of Things‐Based Intelligent Ontology Model for Safety Purpose Using Wireless Networks

H Kumar Shakya, R Sundar… - Wireless …, 2022 - Wiley Online Library
Intelligent transportation systems (ITS) are a newer trend in technology that improve the
safety and performance in transportation systems. The exchange of information is …

Enhancing disaster management in smart cities through MCDM-AHP analysis amid 21st century challenges

AA Bouramdane - Information System and Smart City, 2023 - ojs.acad-pub.com
In the era of rapid urbanization and technological progress, smart cities offer a promising
solution to multifaceted global challenges, leveraging advanced technologies to optimize …

Smart traffic control: machine learning for dynamic road traffic management in urban environments

H Khan, JS Thakur - Multimedia Tools and Applications, 2024 - Springer
Roadside and outside environmental elements contribute to the road traffic setting's highly
dynamic and turbulent nature. The human factor, primarily disregarded in the present …

An intelligent traffic management system based on the Internet of Things for detecting rule violations

V Venkatesh, P Raj, R Anushiadevi… - … on Advances in …, 2023 - ieeexplore.ieee.org
One of the top priorities in smart cities is having an effective traffic management system.
Traffic management systems greatly aid in the planning of traffic flow, the prevention of traffic …

Research on optimization method for traffic signal control at intersections in smart cities based on adaptive artificial fish swarm algorithm

J Wei, Y Ju - Heliyon, 2024 - cell.com
The transportation environment of smart cities is complex and ever-changing, and traffic flow
is influenced by various factors. With the increase of traffic flow in smart cities, optimizing …

Designing an adaptive learning platform based on OBE teaching in cloud computing

H Liu - 2022 International Conference on Knowledge …, 2022 - ieeexplore.ieee.org
Currently, cloud computing has become a new educational model, which not only solves the
problem of resource access for teachers and students in the traditional teaching process, but …

A Formally Integrated Adaptive Speed Management for Proactive Traffic Safety

O Barhoumi, M Nour, MH Zaki, S Tahar - Journal on Autonomous …, 2024 - dl.acm.org
The emergence of connected autonomous vehicles (CAVs) represents a key development in
the quest to enhance traffic safety. CAVs hold significant promise for improving traffic safety …

Traffic Management Scheduling using Image/Video Processing for Smart Cities

KVRD Reddy, RS Priya, P Singh… - 2022 4th …, 2022 - ieeexplore.ieee.org
Nowadays, traffic has been the major problem in many urban regions as the number of
vehicles has been increasing rapidly. So, the traffic management at the traffic signals has …