Stability Analysis and Navigational Techniques of Wheeled Mobile Robot: A Review

KK Borkar, T Aljrees, SK Pandey, A Kumar, MK Singh… - Processes, 2023 - mdpi.com
Wheeled mobile robots (WMRs) have been a focus of research for several decades,
particularly concerning navigation strategies in static and dynamic environments. This …

MTD-DHJS: makespan-optimized task scheduling algorithm for cloud computing with dynamic computational time prediction

P Banerjee, S Roy, A Sinha, MM Hassan, S Burje… - IEEE …, 2023 - ieeexplore.ieee.org
Cloud computing has revolutionized the management and analysis of data for organizations,
offering scalability, flexibility, and cost-effectiveness. Effective task scheduling in cloud …

Automated defective ECG signal detection using MATLAB applications

RK Kanna, AA Ansari, N Kripa, G Jyothi… - … in engineering and …, 2022 - ieeexplore.ieee.org
The examination of cardiac illness uses electrocardiograms (ECGs or EKGs), which are
electrical recordings of the heart. This heart's electrical activity causes line drawings to …

Semi-supervised clustering-based dana algorithm for data gathering and disease detection in healthcare wireless sensor networks (wsn)

A Sinha, T Aljrees, SK Pandey, A Kumar, P Banerjee… - Sensors, 2023 - mdpi.com
Wireless sensor networks (WSNs) have emerged as a promising technology in healthcare,
enabling continuous patient monitoring and early disease detection. This study introduces …

CARDPSoML: Comparative approach to analyze and predict cardiovascular disease based on medical report data and feature fusion approach

A Sinha, D Narula, SK Pandey, A Kumar… - Health Science …, 2024 - Wiley Online Library
Abstract Background and Aims Diabetes patients are at high risk for cardiovascular disease
(CVD), which makes early identification and prompt management essential. To diagnose …

Automated speed breaker system using IoVT generated data for Electric Vehicle using Machine Learning

MS Raza, P Singh, P Jha, A Sinha… - 2023 14th …, 2023 - ieeexplore.ieee.org
The identification of speed breakers on roads is crucial for ensuring a safe and comfortable
driving experience for motorists. In this paper, we present an approach to identify speed …

A study of Cardiovascular disease Risk factors using ML techniques

B Kumar, S Gulnar, P Banerjee… - … Global Conference on …, 2023 - ieeexplore.ieee.org
Worldwide, machine learning (ML) is applied in the healthcare industry. Machine learning
approaches enable the preservation of cardiac illnesses and locomotor disorders in the …