Stability Analysis and Navigational Techniques of Wheeled Mobile Robot: A Review
Wheeled mobile robots (WMRs) have been a focus of research for several decades,
particularly concerning navigation strategies in static and dynamic environments. This …
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
Cloud computing has revolutionized the management and analysis of data for organizations,
offering scalability, flexibility, and cost-effectiveness. Effective task scheduling in cloud …
offering scalability, flexibility, and cost-effectiveness. Effective task scheduling in cloud …
Automated defective ECG signal detection using MATLAB applications
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 …
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)
Wireless sensor networks (WSNs) have emerged as a promising technology in healthcare,
enabling continuous patient monitoring and early disease detection. This study introduces …
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
Abstract Background and Aims Diabetes patients are at high risk for cardiovascular disease
(CVD), which makes early identification and prompt management essential. To diagnose …
(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
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 …
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 …
approaches enable the preservation of cardiac illnesses and locomotor disorders in the …