A new approach to neural network via double hierarchy linguistic information: Application in robot selection

Y Zhang, S Abdullah, I Ullah, F Ghani - Engineering Applications of …, 2024 - Elsevier
Robotization is necessary to keep up with the constant changes in production, which calls
for a staff with robotics expertise. A manufacturing business must also have the ability to …

ASFF-YOLOv5: Multielement detection method for road traffic in UAV images based on multiscale feature fusion

M Qiu, L Huang, BH Tang - Remote Sensing, 2022 - mdpi.com
Road traffic elements are important components of roads and the main elements of
structuring basic traffic geographic information databases. However, the following problems …

Fast-Yolo-rec: Incorporating Yolo-base detection and recurrent-base prediction networks for fast vehicle detection in consecutive images

N Zarei, P Moallem, M Shams - IEEE access, 2022 - ieeexplore.ieee.org
Despite significant advances and innovations in deep network-based vehicle detection
methods, finding a balance between detector accuracy and speed remains a significant …

Smart traffic monitoring through pyramid pooling vehicle detection and filter-based tracking on aerial images

AA Rafique, A Al-Rasheed, A Ksibi, M Ayadi… - IEEE …, 2023 - ieeexplore.ieee.org
Increased traffic density, combined with global population development, has resulted in
increasingly congested roads, increased air pollution, and increased accidents. Globally, the …

A Comprehensive Review of AI-enabled Unmanned Aerial Vehicle: Trends, Vision, and Challenges

OK Pal, MSH Shovon, MF Mridha, J Shin - arXiv preprint arXiv:2310.16360, 2023 - arxiv.org
In recent years, the combination of artificial intelligence (AI) and unmanned aerial vehicles
(UAVs) has brought about advancements in various areas. This comprehensive analysis …

EVATL: A novel framework for emergency vehicle communication with adaptive traffic lights for smart cities

A Dodia, S Kumar, R Rani, SK Pippal… - IET Smart …, 2023 - Wiley Online Library
Fixed cycle traffic lights primarily regulate road traffic, in which traffic light control systems are
for specific lanes or crossings in urban areas. Also, not being appropriately installed can …

A fusion-based convolutional fuzzy neural network for lung cancer classification

CJ Lin, TY Yang - International Journal of Fuzzy Systems, 2023 - Springer
Among cancer types, lung cancer has one of the highest mortality rates worldwide.
Clinicians currently use magnetic resonance imaging or computed tomography (CT) to …

Deep transfer learning-based computer vision for real-time harvest period classification and impurity detection of Porphyra haitnensis

Z Gao, J Huang, J Chen, T Shao, H Ni, H Cai - Aquaculture International, 2024 - Springer
Seaweed has attracted great attention as a healthy and nutritious food. Traditional seaweed
processing plants mainly rely on manual visual inspection to identify and remove inferior …

Vehicle Classification in Intelligent Transportation Systems Using Deep Learning and Seismic Data

S Hashima, MH Saad, K Hatano… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Intelligent transportation systems have become increasingly important for efficient traffic
management and road safety. Vehicle classification is a fundamental task in these systems …

[HTML][HTML] The video-based safety methodology for pedestrian crosswalk safety measured: The case of Thammasat University, Thailand

N Hnoohom, P Chotivatunyu, N Maitrichit… - Transportation research …, 2024 - Elsevier
To progressively analyze the urban factors on different levels of crosswalk road safety, the
study focused on developing a video-based safety methodology using a pedestrian and …