A survey of multimodal hybrid deep learning for computer vision: Architectures, applications, trends, and challenges
K Bayoudh - Information Fusion, 2024 - Elsevier
In recent years, deep learning algorithms have rapidly revolutionized artificial intelligence,
particularly machine learning, enabling researchers and practitioners to extend previously …
particularly machine learning, enabling researchers and practitioners to extend previously …
A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets
K Bayoudh, R Knani, F Hamdaoui, A Mtibaa - The Visual Computer, 2022 - Springer
The research progress in multimodal learning has grown rapidly over the last decade in
several areas, especially in computer vision. The growing potential of multimodal data …
several areas, especially in computer vision. The growing potential of multimodal data …
Advanced learning technologies for intelligent transportation systems: Prospects and challenges
RA Khalil, Z Safelnasr, N Yemane… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS) operate within a highly intricate and dynamic
environment characterized by complex spatial and temporal dynamics at various scales …
environment characterized by complex spatial and temporal dynamics at various scales …
Tacho-less sparse CNN to detect defects in rotor-bearing systems at varying speed
A Kumar, G Vashishtha, CP Gandhi, H Tang… - … applications of artificial …, 2021 - Elsevier
Automatic identification of bearing and rotor defects, when operated at varying speed is
challenging. To make this challenging task possible, a tacho-less deep learning model is …
challenging. To make this challenging task possible, a tacho-less deep learning model is …
A novel lightweight real-time traffic sign detection integration framework based on YOLOv4
Y Gu, B Si - Entropy, 2022 - mdpi.com
As a popular research direction in the field of intelligent transportation, various scholars
have widely concerned themselves with traffic sign detection However, there are still some …
have widely concerned themselves with traffic sign detection However, there are still some …
An optimized AdaBoost Multi-class support vector machine for driver behavior monitoring in the advanced driver assistance systems
R Sethuraman, S Sellappan, J Shunmugiah… - Expert Systems with …, 2023 - Elsevier
Abstract Advanced Driver Assistance System (ADAS) is a Cyber-Physical System (CPS)
application mainly developed for human–machine interaction. We employ the CPS …
application mainly developed for human–machine interaction. We employ the CPS …
Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images
K Bayoudh, F Hamdaoui, A Mtibaa - Physical and engineering sciences in …, 2020 - Springer
The novel Coronavirus disease (COVID-19), which first appeared at the end of December
2019, continues to spread rapidly in most countries of the world. Respiratory infections occur …
2019, continues to spread rapidly in most countries of the world. Respiratory infections occur …
A survey of adas perceptions with development in china
Due to the growing awareness of driving safety and the development of sophisticated
technologies, advanced driving/driver assistance system (ADAS) has been equipped in …
technologies, advanced driving/driver assistance system (ADAS) has been equipped in …
A novel ensemble based reduced overfitting model with convolutional neural network for traffic sign recognition system
AB Shanmugavel, V Ellappan, A Mahendran… - Electronics, 2023 - mdpi.com
The ELVD (Ensemble-based Lenet VGGNet and DropoutNet) model is used in this paper to
examine hypothetical principles and theoretical identification of a real-time image …
examine hypothetical principles and theoretical identification of a real-time image …
Visual recognition of traffic signs in natural scenes based on improved RetinaNet
S Liu, T Cai, X Tang, Y Zhang, C Wang - Entropy, 2022 - mdpi.com
Aiming at recognizing small proportion, blurred and complex traffic sign in natural scenes, a
traffic sign detection method based on RetinaNet-NeXt is proposed. First, to ensure the …
traffic sign detection method based on RetinaNet-NeXt is proposed. First, to ensure the …