A5047086595- Biometric Identification and Security
- Face recognition and analysis
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
- Advanced Steganography and Watermarking Techniques
- Brain Tumor Detection and Classification
- Smart Agriculture and AI
- Image Retrieval and Classification Techniques
- User Authentication and Security Systems
- Leaf Properties and Growth Measurement
- Image and Video Quality Assessment
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Chaos-based Image/Signal Encryption
- Spectroscopy and Chemometric Analyses
- Machine Learning and ELM
- Remote-Sensing Image Classification
- Metaheuristic Optimization Algorithms Research
- Artificial Intelligence in Healthcare
- Blockchain Technology Applications and Security
- IoT and Edge/Fog Computing
- Cloud Computing and Resource Management
- Image Enhancement Techniques
- Olfactory and Sensory Function Studies
Punjab Engineering College
2023-2024
Indian Institute of Technology Madras
2024
Chaudhary Charan Singh Haryana Agricultural University
2024
Jain University
2023-2024
Sri Venkateswara University
2024
National Institute of Technology Uttarakhand
2014-2023
National Institute of Technology Srinagar
2014-2023
Dr. Hari Singh Gour University
2023
Velammal Medical College Hospital and Research Institute
2014-2022
Indian Institute of Technology Gandhinagar
2022
Coronary artery disease (CAD) has been one of the leading causes death worldwide; it is a result narrowing or blocking coronary arteries due to buildup plaque, which reduces flow blood into heart. Accurate and early diagnosis CAD especially important for proper treatment in pursuit better outcomes patients. However, traditional diagnostic methods, such as angiography, are invasive, time-consuming, resource-intensive, calls non-invasive alternatives. This study applies machine learning...
Single sample face recognition (SSFR) is a challenging research problem in which only one image per person available for training. Moreover, the may have different pose, expression, illumination, occlusion etc. rendering this more complex. Several methods been suggested by various researchers literature to solve SSFR. Here, we provide comprehensive review of proposed last decade solving SSFR and introduce novel taxonomy same. We divide broadly into five categories viz. (i) feature based,...
Human beings along with other living and their ecological system are completely inter-dependent. In the past few decades, technological development has affected environment more radically than ever before. It posed grave threats to natural resources including habitat loss degradation, over-exploitation of change in climatic condition. Most plant species on verge extinction. present circumstances, it is essential conserve system. Plant identification a crucial step towards ecosystem diversity...
Abstract The security of biometric data in biometric‐based authentication systems is a significant concern. Cancellable biometrics aim to generate templates that can be replaced by new if compromised. We propose approach for generating cancellable based on linear regression with random permutation. Our generates virtual image every applying regression. In the next step, template produced randomly permuting each depending key assigned individual. If compromised, it cancelled, and generated...
Typical methods for abnormality detection in medical images, which is a one-class classification problem, rely on kernel principal component analysis (KPCA) and its robust invariants. However, typical KPCA appear heuristical nature often ignore the variances of data along modes variation. In this paper, we propose novel method statistical learning reproducing Hilbert space (RKHS) that relies our extension multivariate generalized Gaussian distribution to RKHS. We algorithms fit (KGG) RKHS,...