[HTML][HTML] An enhanced self-learning-based clustering scheme for real-time traffic data distribution in wireless networks

A Jain, T Mehrotra, A Sisodia, S Vishnoi, S Upadhyay… - Heliyon, 2023 - cell.com
The process of examining the data flow over the internet to identify abnormalities in wireless
network performance is known as network traffic analysis. When analyzing network traffic …

[PDF][PDF] Land Cover Classification of Satellite Imagery using Fuzzy Hybrid Approaches by incorporating Contextual Information

S Vishnoi, A Sisodia, T Mehrotra… - Computer Integrated …, 2022 - researchgate.net
Satellite image classification is required in the different fields of work like research, irrigation
purposes, defense purposes etc. The classifications of satellite images using fuzzy methods …

[PDF][PDF] Online or Offline Exam in Covid-19 Pandemic: Analysis and Assessment in the Context of Students/Staff and its Impacts

A Sisodia, S Vishnoi, M Khenwar… - Central European …, 2022 - researchgate.net
Covid-19 pandemic has affected the overall structure of the education system, it forced them
to change the traditional methods we use for teaching and also the methods we use to …

[PDF][PDF] Exploration: Cloud Computing Scheduling Techniques

M Khenwar, A Sisodia, S Vishnoi… - Scandinavian Journal of …, 2023 - researchgate.net
Cloud computing is the practice of managing available resources or data virtually.
Consequently, scheduling algorithms are needed to ensure that all of the virtual components …

Enhancing energy efficiency: a protocol assessment in multi-hop mesh-based IOUT networks

A Sisodia, S Vishnoi, S Upadhyay, JK Goswami… - Multimedia Tools and …, 2024 - Springer
Abstract IOUT (Internet of Underwater Things) relies on underwater acoustic sensors, which
have limited resources such as battery power and bandwidth. The exchange of data among …

[PDF][PDF] A healthcare system for patients based on IoT

D Puja, S Upadhyay, S Agrawal, JK Goswami… - Scand J Inf …, 2023 - researchgate.net
IoT (Internet of Things) has been slowly incorporated into healthcare as compared to other
industries, but IoT can improve health and safety, and reduce healthcare costs. The present …

Heart Disease Prediction Model using various Supervised Learning Algorithm

S Upadhyay, A Dwivedi, A Verma… - 2023 IEEE 12th …, 2023 - ieeexplore.ieee.org
A computer can learn from data and improve its predictive abilities without requiring human
interaction through artificial intelligence (AI) derived from machine learning (ML). Machine …

A Comprehensive Analysis of Environmental Parameters of Underwater Sensor Network

A Sisodia, AK Yadav - … on System Modeling & Advancement in …, 2023 - ieeexplore.ieee.org
Underwater communication is the area which has lots of scope of research and researchers
must be ready to explore it. It can be wired and wireless. But here in this paper, we are …

Heart Disease Evaluation with Deep Learning and Machine Learning

S Upadhyay, SK Singh, JK Goswami… - 2023 6th International …, 2023 - ieeexplore.ieee.org
All over the world is affected by the disease which is named as heart disease. The main
reason behind the heart disease is our busy life, as the person is affected not only by office …

[PDF][PDF] Application of Machine Learning in Biomedical Field

R Kant, SK Singh, BK Gupta, JK Goswami… - … Journal of Information …, 2022 - researchgate.net
In the biomedical industry, machine learning has grown in importance as a technology
because it enables academics and healthcare professionals to analyse and interpret …