Jeevan Bala

ORCID: 0000-0003-2044-9481
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About
Contact & Profiles
Research Areas
  • Image Enhancement Techniques
  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Digital Media Forensic Detection
  • Speech and Audio Processing
  • Chaos-based Image/Signal Encryption
  • Advanced Steganography and Watermarking Techniques
  • Advanced Image Fusion Techniques
  • Artificial Intelligence in Healthcare and Education
  • Spam and Phishing Detection
  • Video Surveillance and Tracking Methods
  • IoT and GPS-based Vehicle Safety Systems
  • Sports injuries and prevention
  • IoT-based Smart Home Systems
  • Machine Learning in Bioinformatics
  • Infrared Target Detection Methodologies
  • Autonomous Vehicle Technology and Safety
  • Sentiment Analysis and Opinion Mining

Lovely Professional University
2019-2023

The worsening air pollution is producing serious smog problems in the world. high concentration of aerosol, that attenuates scene radiance and adds undesired scattering illumination into actual values, has a effect on visibility images. Therefore, images captured under smoggy environments suffer from poor visibility. Because, particles attenuate reflected by targets add light. imaging affect performance many machine vision systems such as intelligent transportation system, remote sensing...

10.1142/s0217984919500568 article EN Modern Physics Letters B 2019-01-21

10.1007/s11045-020-00707-2 article EN Multidimensional Systems and Signal Processing 2020-02-17

The regular attendance system continued in the educational where instructor announced name of every single student and marked attendance, causing time wastage during address time. This turned out to be increasingly more time-consuming particularly current situation number students a class is exceptionally huge. Dealing with information huge gathering additionally troublesome. Another burden present opportunity for stamp fake attendance. These days mobile phones can tackle vast majority issue...

10.1109/iciem51511.2021.9445304 article EN 2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) 2021-04-28

Smog is defined as an intense air pollution. It a combination of haze and fog it degrades the visibility outdoor image at great extent. Therefore, existing imaging systems are unable to obtain potential information from these weather degraded images. Recently many restoration models have been implemented remove effect But, removing smog images ill-posed problem. in this paper, novel desmogging model proposed. Initially, gradient channel prior used estimate optical smoggy Thereafter, gain...

10.1109/icetce48199.2020.9091768 article EN 2020-02-01

The recommended tool for assessing knee injury is magnetic resonance imaging (MRI). However, MRI interpretation takes time and vulnerable to clinical errors inconsistency. A deep learning automated technique reading might help physicians identify high-risk patients make diagnosis easier. In this study, we have proposed a learning-based model detect ACL meniscus tears other abnormalities. At its core, based on the ResNet50 transfer technique. paper, focused present ResNet50-based detecting...

10.1155/2022/5248338 article EN cc-by Mathematical Problems in Engineering 2022-06-14

Objectives: To design a new framework to efficiently parallelize the steps of VLASPD algorithm using hybridized apriori and fp-growth on GPU; implement existing proposed in CUDA;to improve performance factors like computational time, memory CPU utilization.Methods/Statistical Analysis: This paper proposes acceleration Protein-Protein Interactions (PPIs) prediction Graphics Processing Units(GPUs). A GPU can provide more processing cores power same cost as CPU.Findings: The frequently...

10.17485/ijst/2016/v9i45/106351 article EN Indian Journal of Science and Technology 2016-12-09

Digital image watermarking plays an important role in securing multimedia content against unauthorized use and manipulation. The realm of focuses on its vulnerability to various attacks the integration Convolutional Neural Networks (CNNs) bolster robustness. This proposed paper illustrates overview common such as geometric transformations, compression, signal processing attacks, which can compromise watermark robustness integrity. These findings highlight effectiveness reliability encoder,...

10.1109/icosnikom60230.2023.10364459 article EN 2023-11-10
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