Abdullah Lakhan
Research Interests:
Machine learning
Deep learning
Cloud computing
Digital health
Mobile Computing
Information Security
Research Publications
MASTS: Microservice-Aware Secure Task Scheduling System for Distributed Workflow Drone Applications Journal Article
In: 2023.
A hybrid cancer prediction based on multi-omics data and reinforcement learning state action reward state action (SARSA) Journal Article
In: Computers in Biology and Medicine, vol. 154, pp. 106617, 2023.
Adaptive secure malware efficient machine learning algorithm for healthcare data Journal Article
In: CAAI Transactions on Intelligence Technology, 2023.
DRLBTS: deep reinforcement learning-aware blockchain-based healthcare system Journal Article
In: Scientific Reports, vol. 13, no. 1, pp. 4124, 2023.
Energy-efficient distributed federated learning offloading and scheduling healthcare system in blockchain based networks Journal Article
In: Internet of Things, vol. 22, pp. 100815, 2023.
RBEF: Ransomware Efficient Public Blockchain Framework for Digital Healthcare Application Journal Article
In: Sensors, vol. 23, no. 11, pp. 5256, 2023.
A reinforcement federated learning based strategy for urinary disease dataset processing Journal Article
In: Computers in Biology and Medicine, pp. 107210, 2023.
Consumer-centric internet of medical things for cyborg applications based on federated reinforcement learning Journal Article
In: IEEE Transactions on Consumer Electronics, 2023.
Deep neural network-based application partitioning and scheduling for hospitals and medical enterprises using IoT assisted mobile fog cloud Journal Article
In: Enterprise Information Systems, vol. 16, no. 7, pp. 1883122, 2022.
Cost-efficient mobility offloading and task scheduling for microservices IoVT applications in container-based fog cloud network Journal Article
In: Cluster Computing, pp. 1–23, 2022.