A comprehensive survey of cybersecurity threats, attacks, and effective countermeasures in Industrial Internet of things
The Industrial Internet of Things (IIoT) ecosystem faces increased risks and vulnerabilities
due to adopting Industry 4.0 standards. Integrating data from various places and converging …
due to adopting Industry 4.0 standards. Integrating data from various places and converging …
An effective skin cancer classification mechanism via medical vision transformer
Skin Cancer (SC) is considered the deadliest disease in the world, killing thousands of
people every year. Early SC detection can increase the survival rate for patients up to 70 …
people every year. Early SC detection can increase the survival rate for patients up to 70 …
Combining the transformer and convolution for effective brain tumor classification using MRI images
In the world, brain tumor (BT) is considered the major cause of death related to cancer,
which requires early and accurate detection for patient survival. In the early detection of BT …
which requires early and accurate detection for patient survival. In the early detection of BT …
An IoT enable anomaly detection system for smart city surveillance
Since the advent of visual sensors, smart cities have generated massive surveillance video
data, which can be intelligently inspected to detect anomalies. Computer vision-based …
data, which can be intelligently inspected to detect anomalies. Computer vision-based …
An efficient pest detection framework with a medium-scale benchmark to increase the agricultural productivity
Insect pests and crop diseases are considered the major problems for agricultural
production, due to the severity and extent of their occurrence causing significant crop losses …
production, due to the severity and extent of their occurrence causing significant crop losses …
Dsfnet: A distributed sensors fusion network for action recognition
H Shi, Z Hou, J Liang, E Lin, Z Zhong - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Human action recognition (HAR) has become a hot topic in the field of computer vision and
pattern recognition due to its wide range of application prospects. In most deep learning and …
pattern recognition due to its wide range of application prospects. In most deep learning and …
An efficient lightweight hybrid model with attention mechanism for enhancer sequence recognition
Enhancers are sequences with short motifs that exhibit high positional variability and free
scattering properties. Identification of these noncoding DNA fragments and their strength are …
scattering properties. Identification of these noncoding DNA fragments and their strength are …
TAD: A large-scale benchmark for traffic accidents detection from video surveillance
Automatic traffic accident detection has attracted the attention of the machine vision
community for the rapid development of autonomous intelligent transportation systems (ITS) …
community for the rapid development of autonomous intelligent transportation systems (ITS) …
Recent trends in crowd management using deep learning techniques: a systematic literature review
AM Alasmari, NS Farooqi, YA Alotaibi - Journal of Umm Al-Qura University …, 2024 - Springer
Crowd management has become an integral part of urban planning in abnormality in the
crowd and predict its future issues. Big data in social media is a rich source for researchers …
crowd and predict its future issues. Big data in social media is a rich source for researchers …
A deep learning approach for anomaly detection in large-scale hajj crowds
A Aldayri, W Albattah - The Visual Computer, 2024 - Springer
Hajj is an annual Islamic event attended by millions of pilgrims every year from around the
globe. It is considered to be the biggest religious event that includes large human crowds in …
globe. It is considered to be the biggest religious event that includes large human crowds in …