A5058746377- Phonocardiography and Auscultation Techniques
- Music and Audio Processing
- Respiratory and Cough-Related Research
- EEG and Brain-Computer Interfaces
- Flow Measurement and Analysis
- Non-Invasive Vital Sign Monitoring
- Hand Gesture Recognition Systems
- Diet and metabolism studies
- Bariatric Surgery and Outcomes
- Smart Grid Security and Resilience
- Muscle activation and electromyography studies
- Flexible and Reconfigurable Manufacturing Systems
- COVID-19 diagnosis using AI
- Advanced Manufacturing and Logistics Optimization
- Artificial Intelligence in Healthcare
- Traffic Prediction and Management Techniques
- IoT and GPS-based Vehicle Safety Systems
- Gait Recognition and Analysis
- Gaze Tracking and Assistive Technology
- Industrial Automation and Control Systems
- Nursing Diagnosis and Documentation
- Obstructive Sleep Apnea Research
- Image and Video Stabilization
- Digital Transformation in Industry
- Sleep and Work-Related Fatigue
University College of Bahrain
2022-2024
Apollo Hospitals
2017-2024
TU Dortmund University
2024
Kovai Medical Center and Hospital
2023
Creative Commons
2023
University of Bahrain
2023
AMA International University
2018-2022
HCG Cancer Centre
2019
Vellore Institute of Technology University
2016-2018
Universiti Malaysia Perlis
2010-2015
Pulmonary acoustic parameters extracted from recorded respiratory sounds provide valuable information for the detection of pathologies. The automated analysis pulmonary signals can serve as a differential diagnosis tool medical professionals, learning students, and self-management patients. In this context, we intend to evaluate compare performance support vector machine (SVM) K-nearest neighbour (K-nn) classifiers in pathologies using R.A.L.E database.The used study were obtained lung sound...
Objective. Multiresolution analysis (MRA) offers a useful framework for signal in the temporal and spectral domains, although commonly employed MRA methods may not be best approach brain computer interface (BCI) applications. This study aims to develop new system extracting tempo-spatial-spectral features BCI applications based on wavelet lifting over graphs. Approach. paper proposes graph-based transform tailored simple graph representation electroencephalography (EEG) data, which results...
A sign language is a which, instead of acoustically conveyed sound patterns, uses visually transmitted patterns. Sign languages are commonly developed for deaf communities, which can include interpreters, friends and families people as well who or hard hearing themselves. Developing recognition system will help the impaired to communicate more fluently with normal people. This paper presents simple that has been using skin color segmentation Artificial Neural Network. The moment invariants...
Respiratory sound analysis provides vital information of the present condition Lungs. It can be used to assist medical professionals in differential diagnosis. In this paper, we intend distinguish between normal (without any pathological condition), airway obstruction pathology and parenchymal using respiratory recordings taken from RALE database. The proposed method uses Mel-frequency cepstral coefficients (MFCC) as features extracted sounds. are distinguished support vector machine...
In a variety of areas, including healthcare, banking, and manufacturing, repetitive rule-based processes are automated using robotic process automation (RPA), fast developing technology. An overview RPA's, its uses, limitation, applications given in this paper. RPA can lower costs, increase speed, accuracy, efficiency, free up staff to concentrate on jobs higher value. is frequently used for tasks data input, billing, customer care. can't, however, execute activities that call human...
This research article aims to predict the remaining usage time of roller bearings using machine learning algorithms. The specific classifiers employed in this study are Support Vector Machines, Random Forest Classifier, and k-Nearest Neighbors. predictive model takes into account various features including temperature, speed, load, dimensions inner outer rings, width, vibration amplitude, frequency, lubricant type, viscosity. Data for training testing were collected a custom-made single...
The purpose of this paper is to present an evidence automated wheeze detection system by a survey that can be very beneficial for asthmatic patients. Generally, detecting asthma in patient, stethoscope used ascertaining wheezes present. This causes major problem nowadays because number patients tend delay the interpretation time, which lead misinterpretations and some worst cases death. Therefore, development would ease burden medical personnel. A further discussion on will presented later...