A5013131718- Face recognition and analysis
- Face and Expression Recognition
- Advanced Image Fusion Techniques
- Imbalanced Data Classification Techniques
- Biometric Identification and Security
- Image and Signal Denoising Methods
- Artificial Intelligence in Healthcare
- Data Mining Algorithms and Applications
- Advanced Image Processing Techniques
- Advanced Data Processing Techniques
- Metabolomics and Mass Spectrometry Studies
- Computational Drug Discovery Methods
- Advanced Image and Video Retrieval Techniques
- Neural Networks and Applications
- Bayesian Methods and Mixture Models
- Traffic Prediction and Management Techniques
- IoT and Edge/Fog Computing
- Spectroscopy and Chemometric Analyses
- Statistical Methods and Inference
- Machine Learning and Data Classification
- Video Surveillance and Tracking Methods
- User Authentication and Security Systems
- ECG Monitoring and Analysis
- Patient Safety and Medication Errors
- Healthcare Technology and Patient Monitoring
Sant Longowal Institute of Engineering and Technology
2016-2023
Swami Rama Himalayan University
2015
Face detection and eyes extraction has an important role in many applications such as face recognition, facial expression analysis, security login etc. Detection of human structures like eyes, nose are the complex procedure for computer. This paper proposes algorithm from frontal images using Sobel edge morphological operations. The proposed approach is divided into three phases; preprocessing, identification region, eyes. Resizing gray scale image conversion achieved preprocessing. region...
One of the most remarkable ability human vision system is to recognize face. Robustness variations in facial expressions one greatest challenges field face recognition. Human can have lot appearance. Face recognition must be capable identifying despite these variations. This study an effort address effect varying illumination and pose conditions Under conditions, same person appears different due lightening viewing conditions. Majority research this has been focused on frontal
Infrared thermography is a non-invasive and noncontact type radiometric approach that widely used in medical diagnosis many other fields. The thermal camera provides the temperature variation information form of 2D false color image (or thermogram). These thermograms are either grey scale or pseudo image. Grey images have poor contrast difficult for human interpretation. So, there need some algorithms to process improve geometric Region Of Interest (ROI). Various coloring enhancement...
Context: Critical alert policy adopted under laboratory accreditation guidelines [1] and the National Patient Safety Goals (NPSGs) has prioritized safe timely communication of critical [2] so that immediate treatment can be done as soon sample showing value is communicated by laboratory. Laboratories are burdened with analysis samples not only from emergency intensive care units but also outdoor wards; require to frame a policy, which meets need patients. Most studies conducted analyze...
The advent of Internet Things (IoT) revolutionizes the healthcare sector by altering how medical equipment and humans interact while providing solutions. Applications IoT in are advantageous to patients, their families, physicians, hospitals, insurance companies. Before IoT, patients could only speak with doctors physically, over phone, or text. There wasn't a practical way for staff facilities continuously assess patients' health provide guidance. Remote monitoring industry is made possible...
Cardiovascular disease is a major health concern worldwide, with an estimated 17.9 million deaths each year. It encompasses range of conditions affecting the heart and blood vessels, including coronary disease, stroke, failure. These diseases are often associated modifiable non-modifiable risk factors, high pressure, cholesterol, smoking, physical inactivity, obesity, diabetes, genetic predisposition. Data analysis machine learning have emerged as powerful tools for predicting preventing...
Abstract In today’s world, we completely rely on digital devices to collect data; a failure in such may result huge information loss thereby making data mining more tedious job for Data Analyst. Missingness greater extent dataset subsequently comes out with inappropriate results and incomplete analysis. Therefore, need develop an algorithm that can predict the missing values efficiently accurately. This research paper proposes novel splitting-based IMV-RE ( I mputing M issing V alues R...