Mainak Adhikari

Orcid: 0000-0003-0647-4656

According to our database1, Mainak Adhikari authored at least 57 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Fair Scheduling and Computation Co-Offloading for Industrial Applications in Fog Networks.
IEEE Trans. Netw. Serv. Manag., April, 2024

Edge-Centric Intelligent Early Warning System for Residual Soil Stability Prediction in Slope.
IEEE Internet Things J., February, 2024

Blockchain for Cybersecurity in Edge Networks.
IEEE Consumer Electron. Mag., January, 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

Quantum computing in India: Recent developments and future.
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

SVM Kernel and It's Aggregation Using Stacking on Imbalanced Dataset.
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

Disease Prediction using Chest X-ray Images in Serverless Data pipeline Framework.
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
Intelligent Service Deployment Policy for Next-Generation Industrial Edge Networks.
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

Federated-Learning-Aided Next-Generation Edge Networks for Intelligent Services.
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

6G-Enabled Ultra-Reliable Low-Latency Communication in Edge Networks.
IEEE Commun. Stand. Mag., 2022

Security in Edge-Centric Intelligent Internet of Vehicles: Issues and Remedies.
IEEE Consumer Electron. Mag., 2022

CTT: Load Test Automation for TOSCA-based Cloud Applications.
Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

2021
A Roadmap of Next-Generation Wireless Technology for 6G-Enabled Vehicular Networks.
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

Resource Management for Processing Wide Area Data Streams on Supercomputers.
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

Meta heuristic-based task deployment mechanism for load balancing in IaaS cloud.
J. Netw. Comput. Appl., 2019

Energy efficient offloading strategy in fog-cloud environment for IoT applications.
Internet Things, 2019

A Survey on Scheduling Strategies for Workflows in Cloud Environment and Emerging Trends.
ACM Comput. Surv., 2019

An intelligent water drops-based workflow scheduling for IaaS cloud.
Appl. Soft Comput., 2019

2018
Heuristic-based load-balancing algorithm for IaaS cloud.
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

Diabetes Prediction Model Using Cloud Analytics.
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
Design and analysis of an efficient QoS improvement policy in cloud computing.
Serv. Oriented Comput. Appl., 2017

2016
Efficient algorithm for workflow scheduling in cloud computing environment.
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


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