A survey on intelligent Internet of Things: Applications, security, privacy, and future directions

O Aouedi, TH Vu, A Sacco, DC Nguyen… - … surveys & tutorials, 2024 - ieeexplore.ieee.org
The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …

Recent advancements in end-to-end autonomous driving using deep learning: A survey

PS Chib, P Singh - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
End-to-End driving is a promising paradigm as it circumvents the drawbacks associated with
modular systems, such as their overwhelming complexity and propensity for error …

CCTSDB 2021: a more comprehensive traffic sign detection benchmark

J Zhang, X Zou, LD Kuang, J Wang… - Human-centric …, 2022 - centaur.reading.ac.uk
Traffic signs are one of the most important information that guide cars to travel, and the
detection of traffic signs is an important component of autonomous driving and intelligent …

Deep learning for safe autonomous driving: Current challenges and future directions

K Muhammad, A Ullah, J Lloret… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Advances in information and signal processing technologies have a significant impact on
autonomous driving (AD), improving driving safety while minimizing the efforts of human …

Deep convolutional neural network for enhancing traffic sign recognition developed on Yolo V4

C Dewi, RC Chen, X Jiang, H Yu - Multimedia Tools and Applications, 2022 - Springer
Traffic sign detection (TSD) is a key issue for smart vehicles. Traffic sign recognition (TSR)
contributes beneficial information, including directions and alerts for advanced driver …

A cascaded R-CNN with multiscale attention and imbalanced samples for traffic sign detection

J Zhang, Z Xie, J Sun, X Zou, J Wang - IEEE access, 2020 - ieeexplore.ieee.org
In recent years, the deep learning is applied to the field of traffic sign detection methods
which achieves excellent performance. However, there are two main challenges in traffic …

Cassava disease recognition from low‐quality images using enhanced data augmentation model and deep learning

OO Abayomi‐Alli, R Damaševičius, S Misra… - Expert …, 2021 - Wiley Online Library
Improvement of deep learning algorithms in smart agriculture is important to support the
early detection of plant diseases, thereby improving crop yields. Data acquisition for …

Efficient federated learning with spike neural networks for traffic sign recognition

K Xie, Z Zhang, B Li, J Kang, D Niyato… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the gradual popularization of self-driving, it is becoming increasingly important for
vehicles to smartly make the right driving decisions and autonomously obey traffic rules by …

Traffic sign detection via improved sparse R‐CNN for autonomous vehicles

T Liang, H Bao, W Pan, F Pan - Journal of Advanced …, 2022 - Wiley Online Library
Traffic sign detection is an important component of autonomous vehicles. There is still a
mismatch problem between the existing detection algorithm and its practical application in …

Applications of artificial intelligence in inventory management: A systematic review of the literature

Ö Albayrak Ünal, B Erkayman, B Usanmaz - Archives of Computational …, 2023 - Springer
Today, companies that want to keep up with technological development and globalization
must be able to effectively manage their supply chains to achieve high quality, increased …