Mainak Adhikari
Orcid: 0000-0003-0647-4656
According to our database1,
Mainak Adhikari
authored at least 63 papers
between 2014 and 2024.
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Bibliography
2024
6G-Enabled Ultra-Reliable Low Latency Communication for Industry 5.0: Challenges and Future Directions.
IEEE Commun. Stand. Mag., June, 2024
Fair Scheduling and Computation Co-Offloading for Industrial Applications in Fog Networks.
IEEE Trans. Netw. Serv. Manag., April, 2024
Personalized Federated Learning for Heterogeneous Edge Device: Self-Knowledge Distillation Approach.
IEEE Trans. Consumer Electron., February, 2024
Multi-View Ensemble Federated Learning for Efficient Prediction of Consumer Electronics Applications in Fog Networks.
IEEE Trans. Consumer Electron., February, 2024
Explainable AI for Communicable Disease Prediction and Sustainable Living: Implications for Consumer Electronics.
IEEE Trans. Consumer Electron., February, 2024
Edge-Centric Intelligent Early Warning System for Residual Soil Stability Prediction in Slope.
IEEE Internet Things J., February, 2024
IEEE Consumer Electron. Mag., January, 2024
Real-Time Prediction Using Fog-Based Federated Learning and Genetic Hyperparameter Optimisation.
IEEE Trans. Netw. Sci. Eng., 2024
Phys. Commun., 2024
2023
An intelligent heart disease prediction system based on swarm-artificial neural network.
Neural Comput. Appl., July, 2023
Guest Editorial Advanced Wearable Sensors for Smart Monitoring and Disease Prediction.
IEEE J. Biomed. Health Informatics, May, 2023
Fog computing for next-generation Internet of Things: Fundamental, state-of-the-art and research challenges.
Comput. Sci. Rev., May, 2023
Artificial Intelligence-Empowered Logistic Traffic Management System Using Empirical Intelligent XGBoost Technique in Vehicular Edge Networks.
IEEE Trans. Intell. Transp. Syst., April, 2023
Edge-Centric Secure Service Provisioning in IoT-Enabled Maritime Transportation Systems.
IEEE Trans. Intell. Transp. Syst., February, 2023
Service Deployment Strategy for Predictive Analysis of FinTech IoT Applications in Edge Networks.
IEEE Internet Things J., February, 2023
NEAT: A Resilient Deep Representational Learning for Fault Detection Using Acoustic Signals in IIoT Environment.
IEEE Internet Things J., February, 2023
Collaborative AI-Enabled Intelligent Partial Service Provisioning in Green Industrial Fog Networks.
IEEE Internet Things J., February, 2023
Guest Editorial Introduction to the Special Section on Computational Intelligence and Advanced Learning for Next-Generation Industrial IoT.
IEEE Trans. Netw. Sci. Eng., 2023
Deep Transfer Learning for Communicable Disease Detection and Recommendation in Edge Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
IET Quantum Commun., 2023
A Comprehensive Survey on Interoperability for IIoT: Taxonomy, Standards, and Future Directions.
ACM Comput. Surv., 2023
Semantic Analysis and Classification of Emails through Informative Selection of Features and Ensemble AI Model.
Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023
Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023
Edge-Assisted Framework for Malaria Parasite Detection on Cell Images Using Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2023
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023
Communication-Efficient Federated Learning for Real-time Applications in Edge Networks.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2023
2022
IEEE Trans. Netw. Sci. Eng., 2022
An Intrusion Detection Mechanism for Secured IoMT Framework Based on Swarm-Neural Network.
IEEE J. Biomed. Health Informatics, 2022
Cybertwin-Driven Resource Provisioning for IoE Applications at 6G-Enabled Edge Networks.
IEEE Trans. Ind. Informatics, 2022
Guest Editorial: Recent Advances in Fuzzy-Based Intelligent IoT and Cyber-Physical Systems.
IEEE Trans. Fuzzy Syst., 2022
A comprehensive survey on nature-inspired algorithms and their applications in edge computing: Challenges and future directions.
Softw. Pract. Exp., 2022
IEEE Netw., 2022
Deep Reinforcement Learning for Intelligent Service Provisioning in Software-Defined Industrial Fog Networks.
IEEE Internet Things J., 2022
A Collaborative Computational Offloading Strategy for Latency-Sensitive Applications in Fog Networks.
IEEE Internet Things J., 2022
Dynamic Task Placement for Deadline-Aware IoT Applications in Federated Fog Networks.
IEEE Internet Things J., 2022
IBoNN: Intelligent Agent-based Internet of Medical Things framework for detecting brain response from Electroencephalography signal using Bag-of-Neural Network.
Future Gener. Comput. Syst., 2022
IEEE Commun. Stand. Mag., 2022
IEEE Consumer Electron. Mag., 2022
Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022
2021
IEEE Internet Things Mag., 2021
Random Forest for Data Aggregation to Monitor and Predict COVID-19 Using Edge Networks.
IEEE Internet Things Mag., 2021
Stackelberg Game for Service Deployment of IoT-Enabled Applications in 6G-Aware Fog Networks.
IEEE Internet Things J., 2021
iCovidCare: Intelligent health monitoring framework for COVID-19 using ensemble random forest in edge networks.
Internet Things, 2021
Akka framework based on the Actor model for executing distributed Fog Computing applications.
Future Gener. Comput. Syst., 2021
Bangla-Meitei Mayek scripts handwritten character recognition using Convolutional Neural Network.
Appl. Intell., 2021
2020
Joint Computation Offloading and Scheduling Optimization of IoT Applications in Fog Networks.
IEEE Trans. Netw. Sci. Eng., 2020
Application deployment using containers with auto-scaling for microservices in cloud environment.
J. Netw. Comput. Appl., 2020
Application Offloading Strategy for Hierarchical Fog Environment Through Swarm Optimization.
IEEE Internet Things J., 2020
DPTO: A Deadline and Priority-Aware Task Offloading in Fog Computing Framework Leveraging Multilevel Feedback Queueing.
IEEE Internet Things J., 2020
Multi-objective scheduling strategy for scientific workflows in cloud environment: A Firefly-based approach.
Appl. Soft Comput., 2020
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020
2019
Multi-objective accelerated particle swarm optimization with a container-based scheduling for Internet-of-Things in cloud environment.
J. Netw. Comput. Appl., 2019
J. Netw. Comput. Appl., 2019
Internet Things, 2019
A Survey on Scheduling Strategies for Workflows in Cloud Environment and Emerging Trends.
ACM Comput. Surv., 2019
Appl. Soft Comput., 2019
2018
Future Gener. Comput. Syst., 2018
Dynamic Load Balancing Strategy based on Resource Classification Technique in IaaS Cloud.
Proceedings of the 2018 International Conference on Advances in Computing, 2018
Proceedings of the 2018 International Conference on Advances in Computing, 2018
Multi-Objective Accelerated Particle Swarm Optimization Technique for Scientific workflows in IaaS cloud.
Proceedings of the 2018 International Conference on Advances in Computing, 2018
2017
Serv. Oriented Comput. Appl., 2017
2016
Proceedings of the Ninth International Conference on Contemporary Computing, 2016
2014
Design and Implementation of an Improved Datacenter Broker Policy to Improve the QoS of a Cloud.
Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications, 2014