Developments in image processing using deep learning and reinforcement learning

J Valente, J António, C Mora, S Jardim - Journal of Imaging, 2023 - mdpi.com
The growth in the volume of data generated, consumed, and stored, which is estimated to
exceed 180 zettabytes in 2025, represents a major challenge both for organizations and for …

Vision-based traffic sign detection and recognition systems: Current trends and challenges

SB Wali, MA Abdullah, MA Hannan, A Hussain… - Sensors, 2019 - mdpi.com
The automatic traffic sign detection and recognition (TSDR) system is very important
research in the development of advanced driver assistance systems (ADAS). Investigations …

An adaptive QoS computation for medical data processing in intelligent healthcare applications

AH Sodhro, AS Malokani, GH Sodhro… - Neural computing and …, 2020 - Springer
Efficient computation of quality of service (QoS) during medical data processing through
intelligent measurement methods is one of the mandatory requirements of the medial …

Resource-constrained machine learning for ADAS: A systematic review

J Borrego-Carazo, D Castells-Rufas, E Biempica… - IEEE …, 2020 - ieeexplore.ieee.org
The advent of machine learning (ML) methods for the industry has opened new possibilities
in the automotive domain, especially for Advanced Driver Assistance Systems (ADAS) …

National payment switches and the power of cognitive computing against fintech fraud

A Faccia - Big Data and Cognitive Computing, 2023 - mdpi.com
National Payment Switches (NPSs) and International Payment Switches (IPSs), including
major players such as SWIFT, Mastercard, and CHIPS, have become vital to the financial …

[HTML][HTML] Vehicle speed measurement model for video-based systems

S Javadi, M Dahl, MI Pettersson - Computers & Electrical Engineering, 2019 - Elsevier
Advanced analysis of road traffic data is an essential component of today's intelligent
transportation systems. This paper presents a video-based vehicle speed measurement …

An efficient texture descriptor for the detection of license plates from vehicle images in difficult conditions

MS Al-Shemarry, Y Li, S Abdulla - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This paper aims to identify the license plates under difficult image conditions, such as
low/high contrast, foggy, distorted, and dusty conditions. This paper proposes an efficient …

Analysis of human tissue densities: A new approach to extract features from medical images

PP Rebouças Filho, ES Rebouças, LB Marinho… - Pattern Recognition …, 2017 - Elsevier
Identification of diseases based on processing and analysis of medical images is of great
importance for medical doctors to assist them in their decision making. In this work, a new …

Intersection safety assessment using video-based traffic conflict analysis: The case study of Thailand

N Kronprasert, C Sutheerakul, T Satiennam, P Luathep - Sustainability, 2021 - mdpi.com
In the road transport network, intersections are among the most critical locations leading to a
risk of death and serious injury. The traditional methods to assess the safety of intersections …

Speed limit sign detection and recognition system using SVM and MNIST datasets

Y Saadna, A Behloul, S Mezzoudj - Neural Computing and Applications, 2019 - Springer
This article presents a computer vision system for real-time detection and robust recognition
of speed limit signs, specially designed for intelligent vehicles. First, a new segmentation …