A5089504291- Non-Invasive Vital Sign Monitoring
- Advanced Sensor and Energy Harvesting Materials
- Spam and Phishing Detection
- Advanced Malware Detection Techniques
- Speech and Audio Processing
- Music Technology and Sound Studies
- Muscle activation and electromyography studies
- Music and Audio Processing
- Misinformation and Its Impacts
American International University-Bangladesh
2023
Southwest University of Science and Technology
2021-2022
The purpose of this approach is to find out the effects and efficiently detect fake news by using a publicly available dataset. However, it difficult for human beings judge an article's truthfulness manually, which why This paper mainly wanted cure effect found automated detection system with benchmark accuracy machine learning classifier, must be higher than other recent research works. In essence, work’s target efficient way real news, also compare existing work where researchers used...
The shoulder joint has the most excellent range of motion in human body, which large ability but poor stability. To help adjust for this instability, rotator cuff muscles, ligaments, tendons, and glenoid labrum should be relied on. In order to precisely evaluate health status or mobility shoulder, a detection algorithm based on MPU6050 sensor XGBoost model is proposed paper. As result, can obtain good results with accuracy 94% 93%.
The automated genre categorization of musical audio signals plays a fundamental role in the application, spectral characteristics that have been averaged across large number frames are estimated by Continuous Wavelet Transform (CWT) and then converted to gray-scale picture for training classification. A Convolution Neural Networks (CNN) model is proposed this paper results demonstrated classification accuracy CWT+ CNN about 70% with testing sample 94% sample. This may suggest good...