Sara Kadhum Idrees

University of Babylon — IQ

Computer Science · Physical Sciences

4h-index146citations11works3.32yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

IoT and Edge/Fog Computing(9), Energy Efficient Wireless Sensor Networks(4), EEG and Brain-Computer Interfaces(2), Advanced Data Compression Techniques(2), Wireless Body Area Networks(2)

Publications11 total

Efficient lightweight image compression approach for Multimedia Internet of Things
2025
SZ4IoT: an adaptive lightweight lossy compression algorithm for diverse IoT devices and data types
The Journal of Supercomputing·2025· 4 cited
EDaTAD: Energy-Aware Data Transmission Approach with Decision-Making for Fog Computing-Based IoT Applications
Journal of Network and Systems Management·2024· 6 citedOpen Access
Multibiosensor Data Sampling and Transmission Reduction With Decision-Making for Remote Patient Monitoring in IoMT Networks
IEEE Sensors Journal·2023· 22 cited
DaTOS: Data Transmission Optimization Scheme in Tactile Internet-based Fog Computing Applications
2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)·2022· 1 cited
Energy-efficient fog computing-enabled data transmission protocol in tactile internet-based applications
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing·2022· 2 cited
An Edge-Fog Computing-Enabled Lossless EEG Data Compression With Epileptic Seizure Detection in IoMT Networks
IEEE Internet of Things Journal·2022· 65 citedOpen Access
New fog computing enabled lossless EEG data compression scheme in IoT networks
Journal of Ambient Intelligence and Humanized Computing·2021· 39 cited
ETOP: Energy-Efficient Transmission Optimization Protocol in Sensor Networks of IoT
Communications in computer and information science·2021· 3 cited
Performance and Energy Consumption Prediction of Randomly Selected Nodes in Heterogeneous Cluster
Communications in computer and information science·2018· 3 cited
Deep Learning for Combating COVID-19 Pandemic in Internet of Medical Things (IoMT) Networks: A Comprehensive Review
Internet of things·2012· 1 cited

Frequent Co-authors

Ali Kadhum Idrees(10), Raphaël Couturier(8), Tara Ali‐Yahiya(5), Joseph Azar(2), Franck Gechter(2), Ahmed Fanfakh(1), Safaa O. Al‐Mamory(1), Balqees Talal Hasan(1)