Kamal Kant Hiran

Orcid: 0000-0003-3021-2824

According to our database1, Kamal Kant Hiran authored at least 15 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A Novel Framework Comprising Fusion of Statistical Approach (LASSO) with Soft-Computing Algorithm (PUMA) for Optimal Feature Selection to Enhance Prediction of Cardiovascular Disease and Diabetes Disease.
SN Comput. Sci., June, 2026

Federated Learning over Blockchain-Enabled Cloud Infrastructure.
CoRR, April, 2026

ECG-Lens: Benchmarking ML & DL Models on PTB-XL Dataset.
CoRR, April, 2026

Elastic Cloud Scaling for Small Models: Dynamic Resource Allocation as an Alternative to Training Large LLMs.
IEEE Access, 2026

2024
Low cost artificial intelligence Internet of Things based water quality monitoring for rural areas.
Internet Things, 2024

2023
Affective state prediction of E-learner using SS-ROA based deep LSTM.
Array, September, 2023

Optimizing student engagement in edge-based online learning with advanced analytics.
Array, September, 2023

2022
Impact of Covid-19 on Teaching-Learning Perception of Faculties and Students of Higher Education in Indian Purview.
J. Mobile Multimedia, 2022

Factors Influencing Patient Adoption of the IoT for E-Health Management Systems (e-HMS) Using the UTAUT Model: A High Order SEM-ANN Approach.
Int. J. Ambient Comput. Intell., 2022

Assessing Factors Affecting the Blockchain Adoption in Public Procurement Delivery in Ghana: A Correlational Study Using UTAUT2 Theoretical Framework.
Int. J. Ambient Comput. Intell., 2022

2021
Investigating Factors Influencing the Adoption of IT Cloud Computing Platforms in Higher Education: Case of Sub-Saharan Africa With IT Professionals.
Int. J. Hum. Cap. Inf. Technol. Prof., 2021

Segmentation of Brain Tumor using Deep Learning Methods: A Review.
Proceedings of the DSMLAI '21: International Conference on Data Science, Machine Learning and Artificial Intelligence, Windhoek Namibia, August 9, 2021

Performance Comparison of Network Intrusion Detection System Based on Different Pre-processing Methods and Deep Neural Network.
Proceedings of the DSMLAI '21: International Conference on Data Science, Machine Learning and Artificial Intelligence, Windhoek Namibia, August 9, 2021

2020
An integrated TOE-DoI framework for cloud computing adoption in the higher education sector: case study of Sub-Saharan Africa, Ethiopia.
Int. J. Syst. Assur. Eng. Manag., 2020

2019
Selection of Cloud Service Provider Based on Sampled Non-functional Attribute Set.
Proceedings of the Intelligent Systems Design and Applications, 2019


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