Kailash Kumar

Orcid: 0000-0003-2916-719X

According to our database1, Kailash Kumar authored at least 14 papers between 2021 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
Implementation of a Personalised Learning System for At-Risk Students using Adaptive Techniques.
Int. J. Interact. Mob. Technol., 2026

2025
Game-changing intelligence: Unveiling the societal impact of artificial intelligence in game software.
Entertain. Comput., 2025

Characteristics determining customer's preferences for OTT video streaming: A multivariate analysis.
Entertain. Comput., 2025

Application of Friis Transmission Equation for the Power Delay Profile in Gaussian Scattering.
Proceedings of the National Conference on Communications, 2025

2024
6G Wireless Communication Networks: Challenges and Potential Solution.
Int. J. Bus. Data Commun. Netw., 2024

A cutting-edge artificial intelligence paradigm for entertainment-infused music recommendations.
Entertain. Comput., 2024

2023
Assessing the Impact of IoT Enabled E-Learning System for Higher Education.
SN Comput. Sci., September, 2023

Cybersecurity in Universities: An Evaluation Model.
SN Comput. Sci., September, 2023

Complexity and Monitoring of Economic Operations Using a Game-Theoretic Model for Cloud Computing.
Syst., February, 2023

2022
Cost-effective and efficient 3D human model creation and re-identification application for human digital twins.
Multim. Tools Appl., 2022

2021
Improvement of Transmission Control Protocol for High Bandwidth Applications.
Wirel. Pers. Commun., 2021

Analysis and design of fuzzy-based manoeuvring model for mid-vehicle collision avoidance system.
J. Ambient Intell. Humaniz. Comput., 2021

The Role of Internet of Things (IoT) to Fight against Covid-19.
Proceedings of the DSMLAI '21: International Conference on Data Science, Machine Learning and Artificial Intelligence, Windhoek Namibia, August 9, 2021

Analysis of Various Diabetic Prediction Methods of Machine Learning.
Proceedings of the DSMLAI '21: International Conference on Data Science, Machine Learning and Artificial Intelligence, Windhoek Namibia, August 9, 2021


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