Blockchain-based IoT devices in supply chain management: a systematic literature review
Through recent progress, the forms of modern supply chains have evolved into complex
networks. The supply chain management systems face a variety of challenges. These …
networks. The supply chain management systems face a variety of challenges. These …
Big data covid-19 systematic literature review: Pandemic crisis
The COVID-19 pandemic has frightened people worldwide, and coronavirus has become
the most commonly used phrase in recent years. Therefore, there is a need for a systematic …
the most commonly used phrase in recent years. Therefore, there is a need for a systematic …
Threat analysis and distributed denial of service (DDoS) attack recognition in the internet of things (IoT)
The Internet of Things (IoT) plays a crucial role in various sectors such as automobiles and
the logistic tracking medical field because it consists of distributed nodes, servers, and …
the logistic tracking medical field because it consists of distributed nodes, servers, and …
Harris hawks sparse auto-encoder networks for automatic speech recognition system
Automatic speech recognition (ASR) is an effective technique that can convert human
speech into text format or computer actions. ASR systems are widely used in smart …
speech into text format or computer actions. ASR systems are widely used in smart …
Deep learning-based hard spatial attention for driver in-vehicle action monitoring
Distracted driving is one of the main causes of deaths and injuries in the world. Monitoring
driver behaviors through Driver Action Recognition (DAR) contributes significantly to …
driver behaviors through Driver Action Recognition (DAR) contributes significantly to …
BiomacVR: A virtual reality-based system for precise human posture and motion analysis in rehabilitation exercises using depth sensors
Remote patient monitoring is one of the most reliable choices for the availability of health
care services for the elderly and/or chronically ill. Rehabilitation requires the exact and …
care services for the elderly and/or chronically ill. Rehabilitation requires the exact and …
Data-driven learning fatigue detection system: A multimodal fusion approach of ECG (electrocardiogram) and video signals
L Zhao, M Li, Z He, S Ye, H Qin, X Zhu, Z Dai - Measurement, 2022 - Elsevier
Fatigue could lead to low efficiency and even serious disaster. In the educational field,
detecting fatigue could help adjust teaching strategies accordingly when a student is …
detecting fatigue could help adjust teaching strategies accordingly when a student is …
Driver distraction detection based on the true driver's focus of attention
T Huang, R Fu - IEEE transactions on intelligent transportation …, 2022 - ieeexplore.ieee.org
Effective driver distraction detection (DDD) can significantly improve driving safety. Inspired
by the definition of driver distraction, this work aims to detect driver distraction based on the …
by the definition of driver distraction, this work aims to detect driver distraction based on the …
Analyzing the effectiveness of imbalanced data handling techniques in predicting driver phone use
Distracted driving leads to a significant number of road crashes worldwide. Smartphone use
is one of the most common causes of cognitive distraction among drivers. Available data on …
is one of the most common causes of cognitive distraction among drivers. Available data on …
Multi-Stream Deep Convolution Neural Network With Ensemble Learning for Facial Micro-Expression Recognition
Micro-expression recognition has gained much attention in research communities. Among
its proposed solutions, deep learning approaches have shown promising results over the …
its proposed solutions, deep learning approaches have shown promising results over the …