Convolutional neural networks-an extensive arena of deep learning. A comprehensive study

N Singh, H Sabrol - Archives of Computational Methods in Engineering, 2021 - Springer
Deep learning is an evolving expanse of machine learning. Machine learning is observing
its neoteric span as deep learning is steadily becoming the pioneer in this field. With the …

[HTML][HTML] Intelligent transportation systems: A survey on modern hardware devices for the era of machine learning

I Damaj, SK Al Khatib, T Naous, W Lawand… - Journal of King Saud …, 2022 - Elsevier
The increasing complexity of Intelligent Transportation Systems (ITS), that comprise a wide
variety of applications and services, has imposed a necessity for high-performance Modern …

Applying deep learning to detect traffic accidents in real time using spatiotemporal sequential data

AB Parsa, RS Chauhan, H Taghipour… - arXiv preprint arXiv …, 2019 - arxiv.org
Accident detection is a vital part of traffic safety. Many road users suffer from traffic accidents,
as well as their consequences such as delay, congestion, air pollution, and so on. In this …

Recognizing hand gestures for controlling home appliances with mobile sensors

KN Trong, H Bui, C Pham - 2019 11th International Conference …, 2019 - ieeexplore.ieee.org
Mobile and ambient sensors provide a scalable platform for the integration of computing
devices and smart appliances for smart home. In which mobile devices, such as smart …

Novel CBIR system using CNN architecture

K Ramanjaneyulu, KV Swamy… - 2018 3rd International …, 2018 - ieeexplore.ieee.org
Development of multi-media technologies large number of images are used in various fields
such as video satellite data, medical treatment and digital judicial systems and surveillance …

Optimized multistage fuzzy-based model for incident detection and management on urban streets

YE Hawas, M Sherif, MD Alam - Fuzzy Sets and Systems, 2020 - Elsevier
This study proposes formulation of a system for incident detection and management of traffic
signals constituting urban traffic networks. A system prototype has been developed and …

Landslide detection with unmanned aerial vehicles

HN Vu, HM Nguyen, CD Pham, AD Tran… - … Analysis and Pattern …, 2021 - ieeexplore.ieee.org
Landslide is one of the most dangerous disasters, especially for countries with large
mountainous terrain. It causes a great damage to lives, infrastructure and environments …

Exploring Deep Learning in Road Traffic Accident Recognition for Roadside Sensing Technologies

ST Fu, BT Lau, MKT Tee, BCS Loh - Proceedings of the Future …, 2022 - Springer
Road traffic accident recognition is essential in providing timely information to healthcare
authorities for reducing fatalities. This area of research is heavily dependent on traffic flow …

Deep Learning for Human Visual Attention Recognition Using Transfer Learning

NV Hoai, HN Mai, C Pham - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
In this paper, we propose a method for recognizing human visual attention by utilizing the
image data. In our method, human visual attention is recognized in three steps: data …

Multi-task Learning based Voice Verification with Triplet Loss

T Phan, N Vu, C Pham - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Human voice verification is an essential component in the speech-based biometric signature
as its comfortable-in-use and applicability in security systems. Previous studies on voice …