Abdullah Lakhan
Orcid: 0000-0002-1833-1364
According to our database1,
Abdullah Lakhan
authored at least 54 papers
between 2019 and 2024.
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Bibliography
2024
IoT workload offloading efficient intelligent transport system in federated ACNN integrated cooperated edge-cloud networks.
J. Cloud Comput., December, 2024
Augmented IoT Cooperative Vehicular Framework Based on Distributed Deep Blockchain Networks.
IEEE Internet Things J., November, 2024
Evolutionary Meta-Heuristic Offloading and Scheduling Schemes Enabled Industrial Cyber-Physical System.
IEEE Syst. J., June, 2024
Mobile-fog-cloud assisted deep reinforcement learning and blockchain-enable IoMT system for healthcare workflows.
Trans. Emerg. Telecommun. Technol., April, 2024
Digital healthcare framework for patients with disabilities based on deep federated learning schemes.
Comput. Biol. Medicine, February, 2024
Edge-Cloud Remote Sensing Data-Based Plant Disease Detection Using Deep Neural Networks With Transfer Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
A multi-objectives framework for secure blockchain in fog-cloud network of vehicle-to-infrastructure applications.
Knowl. Based Syst., 2024
FDCNN-AS: Federated deep convolutional neural network Alzheimer detection schemes for different age groups.
Inf. Sci., 2024
Multi-agent reinforcement learning framework based on information fusion biometric ticketing data in different public transport modes.
Inf. Fusion, 2024
Securing healthcare data in industrial cyber-physical systems using combining deep learning and blockchain technology.
Eng. Appl. Artif. Intell., 2024
Fiber-optics IoT healthcare system based on deep reinforcement learning combinatorial constraint scheduling for hybrid telemedicine applications.
Comput. Biol. Medicine, 2024
A metaverse framework for IoT-based remote patient monitoring and virtual consultations using AES-256 encryption.
Appl. Soft Comput., 2024
A Novel BIBO Automated Ticketing System Based on Blockchain Mobile Sensors for Public Transport Modes.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024
Proceedings of the Mobile Web and Intelligent Information Systems, 2024
Proceedings of the Mobile Web and Intelligent Information Systems, 2024
Task Scheduling in Multi-Cloud Environments for Spark Workflow under Performance Uncertainty.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024
2023
Secure blockchain assisted Internet of Medical Things architecture for data fusion enabled cancer workflow.
Internet Things, December, 2023
Autism Spectrum Disorder detection framework for children based on federated learning integrated CNN-LSTM.
Comput. Biol. Medicine, November, 2023
EDCNNS: Federated learning enabled evolutionary deep convolutional neural network for Alzheimer disease detection.
Appl. Soft Comput., November, 2023
Secure-fault-tolerant efficient industrial internet of healthcare things framework based on digital twin federated fog-cloud networks.
J. King Saud Univ. Comput. Inf. Sci., October, 2023
Homomorphic federated learning schemes enabled pedestrian and vehicle detection system.
Internet Things, October, 2023
A reinforcement federated learning based strategy for urinary disease dataset processing.
Comput. Biol. Medicine, September, 2023
ITS Based on Deep Graph Convolutional Fraud Detection Network Blockchain-Enabled Fog-Cloud.
IEEE Trans. Intell. Transp. Syst., August, 2023
Energy-efficient distributed federated learning offloading and scheduling healthcare system in blockchain based networks.
Internet Things, July, 2023
A hybrid cancer prediction based on multi-omics data and reinforcement learning state action reward state action (SARSA).
Comput. Biol. Medicine, March, 2023
Restricted Boltzmann Machine Assisted Secure Serverless Edge System for Internet of Medical Things.
IEEE J. Biomed. Health Informatics, February, 2023
Federated-Learning Based Privacy Preservation and Fraud-Enabled Blockchain IoMT System for Healthcare.
IEEE J. Biomed. Health Informatics, February, 2023
Bio-inspired robotics enabled schemes in blockchain-fog-cloud assisted IoMT environment.
J. King Saud Univ. Comput. Inf. Sci., January, 2023
Blockchain-Enabled Cybersecurity Efficient IIOHT Cyber-Physical System for Medical Applications.
IEEE Trans. Netw. Sci. Eng., 2023
Consumer-Centric Internet of Medical Things for Cyborg Applications Based on Federated Reinforcement Learning.
IEEE Trans. Consumer Electron., 2023
RBEF: Ransomware Efficient Public Blockchain Framework for Digital Healthcare Application.
Sensors, 2023
RSITS: Road Safety Intelligent Transport System in Deep Federated Learning Assisted Fog Cloud Networks.
Proceedings of the Mobile Web and Intelligent Information Systems, 2023
2022
Fully Homomorphic Enabled Secure Task Offloading and Scheduling System for Transport Applications.
IEEE Trans. Veh. Technol., 2022
ACM Trans. Sens. Networks, 2022
A Lightweight Secure Adaptive Approach for Internet-of-Medical-Things Healthcare Applications in Edge-Cloud-Based Networks.
Sensors, 2022
Delay Optimal Schemes for Internet of Things Applications in Heterogeneous Edge Cloud Computing Networks.
Sensors, 2022
Potent Blockchain-Enabled Socket RPC Internet of Healthcare Things (IoHT) Framework for Medical Enterprises.
Sensors, 2022
Blockchain Socket Factories with RMI-Enabled Framework for Fine-Grained Healthcare Applications.
Sensors, 2022
Deadline aware and energy-efficient scheduling algorithm for fine-grained tasks in mobile edge computing.
Int. J. Web Grid Serv., 2022
Microservices architectural based secure and failure aware task assignment schemes in fog-cloud assisted Internet of things.
Int. J. Intell. Syst., 2022
Deep neural network-based application partitioning and scheduling for hospitals and medical enterprises using IoT assisted mobile fog cloud.
Enterp. Inf. Syst., 2022
Cost-efficient mobility offloading and task scheduling for microservices IoVT applications in container-based fog cloud network.
Clust. Comput., 2022
Efficient deep-reinforcement learning aware resource allocation in SDN-enabled fog paradigm.
Autom. Softw. Eng., 2022
A multi-objective quantum-inspired genetic algorithm for workflow healthcare application scheduling with hard and soft deadline constraints in hybrid clouds.
Appl. Soft Comput., 2022
2021
Mobility Aware Blockchain Enabled Offloading and Scheduling in Vehicular Fog Cloud Computing.
IEEE Trans. Intell. Transp. Syst., 2021
Energy and performance-efficient task scheduling in heterogeneous virtualized cloud computing.
Sustain. Comput. Informatics Syst., 2021
Multi-Agent Systems in Fog-Cloud Computing for Critical Healthcare Task Management Model (CHTM) Used for ECG Monitoring.
Sensors, 2021
Federated learning enables intelligent reflecting surface in fog-cloud enabled cellular network.
PeerJ Comput. Sci., 2021
Machine learning-data mining integrated approach for premature ventricular contraction prediction.
Neural Comput. Appl., 2021
2020
A Novel Cost-Efficient Framework for Critical Heartbeat Task Scheduling Using the Internet of Medical Things in a Fog Cloud System.
Sensors, 2020
Transient fault aware application partitioning computational offloading algorithm in microservices based mobile cloudlet networks.
Computing, 2020
2019
Mobility and Fault Aware Adaptive Task Offloading in Heterogeneous Mobile Cloud Environments.
EAI Endorsed Trans. Mob. Commun. Appl., 2019
Content Aware Task Scheduling Framework for Mobile Workflow Applications in Heterogeneous Mobile-Edge-Cloud Paradigms: CATSA Framework.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019