Blockchain-based IoT devices in supply chain management: a systematic literature review

M Hussain, W Javed, O Hakeem, A Yousafzai… - Sustainability, 2021 - mdpi.com
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 …

Big data covid-19 systematic literature review: Pandemic crisis

LA Haafza, MJ Awan, A Abid, A Yasin, H Nobanee… - Electronics, 2021 - mdpi.com
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 …

Threat analysis and distributed denial of service (DDoS) attack recognition in the internet of things (IoT)

MH Ali, MM Jaber, SK Abd, A Rehman, MJ Awan… - Electronics, 2022 - mdpi.com
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 …

Harris hawks sparse auto-encoder networks for automatic speech recognition system

MH Ali, MM Jaber, SK Abd, A Rehman, MJ Awan… - Applied Sciences, 2022 - mdpi.com
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 …

Deep learning-based hard spatial attention for driver in-vehicle action monitoring

I Jegham, I Alouani, AB Khalifa, MA Mahjoub - Expert Systems with …, 2023 - Elsevier
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 …

BiomacVR: A virtual reality-based system for precise human posture and motion analysis in rehabilitation exercises using depth sensors

R Maskeliūnas, R Damaševičius, T Blažauskas… - Electronics, 2023 - mdpi.com
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 …

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 …

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 …

Analyzing the effectiveness of imbalanced data handling techniques in predicting driver phone use

MM Taamneh, S Taamneh, AH Alomari, M Abuaddous - Sustainability, 2023 - mdpi.com
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 …

Multi-Stream Deep Convolution Neural Network With Ensemble Learning for Facial Micro-Expression Recognition

G Perveen, SF Ali, J Ahmad, S Shahab, M Adnan… - IEEE …, 2023 - ieeexplore.ieee.org
Micro-expression recognition has gained much attention in research communities. Among
its proposed solutions, deep learning approaches have shown promising results over the …