Operations management of smart logistics: A literature review and future research

B Feng, Q Ye - Frontiers of Engineering Management, 2021 - Springer
The global collaboration and integration of online and offline channels have brought new
challenges to the logistics industry. Thus, smart logistics has become a promising solution …

Notice of retraction: AI techniques for COVID-19

AA Hussain, O Bouachir, F Al-Turjman… - IEEE access, 2020 - ieeexplore.ieee.org
Notice of Retraction "AI Techniques for COVID-19," by Adedoyin Ahmed Hussain; Ouns
Bouachir; Fadi Al-Turjman; Moayad A Page 1 Notice of Retraction "AI Techniques for COVID-19," …

Real-time scheduling in IoT applications: a systematic review

S Abolhassani Khajeh, M Saberikamarposhti… - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) is a telecommunication network in the next generation of
applications with the rapid progress of wireless sensor network techniques that have …

An authentic-based privacy preservation protocol for smart e-healthcare systems in IoT

BD Deebak, F Al-Turjman, M Aloqaily, O Alfandi - IEEE Access, 2019 - ieeexplore.ieee.org
Emerging technologies rapidly change the essential qualities of modern societies in terms of
smart environments. To utilize the surrounding environment data, tiny sensing devices and …

Cloud-assisted multiview video summarization using CNN and bidirectional LSTM

T Hussain, K Muhammad, A Ullah… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The massive amount of video data produced by surveillance networks in industries instigate
various challenges in exploring these videos for many applications, such as video …

Energy-aware task scheduling and offloading using deep reinforcement learning in SDN-enabled IoT network

B Sellami, A Hakiri, SB Yahia, P Berthou - Computer Networks, 2022 - Elsevier
Abstract The fifth-generation (5G) mobile network services have made tremendous growth in
the Internet of Things (IoT) network. A counters number of battery-powered IoT devices are …

A robust intelligence regression model for monitoring Parkinson's disease based on speech signals

AM Anter, AW Mohamed, M Zhang, Z Zhang - Future Generation Computer …, 2023 - Elsevier
Parkinson's disease (PD) is a degenerative neurological disease, and early diagnosis of PD
is crucial. Monitoring PD progression from voice records is a promising technique, which is …

An efficient task scheduling in fog computing using improved artificial hummingbird algorithm

R Ghafari, N Mansouri - Journal of Computational Science, 2023 - Elsevier
IoT edge devices have become more popular due to the rapid growth in IoT applications in
recent years. Task scheduling reduces latency and application computation times, while …

Applicability of WSN and biometric models in the field of healthcare

N Sharma, I Kaushik, B Bhushan, S Gautam… - … Learning Strategies for …, 2020 - igi-global.com
Health is considered as the most important ingredient in human life. Health is wealth is the
most frequent used proverb. A healthy person can perform its entire task with full enthusiasm …

Quasi oppositional Aquila optimizer-based task scheduling approach in an IoT enabled cloud environment

M Kandan, A Krishnamurthy, SAM Selvi… - The Journal of …, 2022 - Springer
Large-scale applications of the Internet of Things (IoT) necessitate significant computing
tasks and storage resources that are progressively installed in the cloud environment …