A survey on intelligent Internet of Things: Applications, security, privacy, and future directions
The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …
communication technology and offered various customer services. Artificial intelligence (AI) …
Recent advancements in end-to-end autonomous driving using deep learning: A survey
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 …
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 …
detection of traffic signs is an important component of autonomous driving and intelligent …
Deep learning for safe autonomous driving: Current challenges and future directions
Advances in information and signal processing technologies have a significant impact on
autonomous driving (AD), improving driving safety while minimizing the efforts of human …
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
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 …
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 …
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 …
early detection of plant diseases, thereby improving crop yields. Data acquisition for …
Efficient federated learning with spike neural networks for traffic sign recognition
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 …
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 …
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
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 …
must be able to effectively manage their supply chains to achieve high quality, increased …