R Thiagarajan
Biographic Data
| ID | 8425318 |
|---|---|
| NAME | R Thiagarajan |
| GIVEN NAMES | R |
| FAMILY NAME | Thiagarajan |
| SIGNATURE | THIAGARAJAN R |
| AFFILIATIONS | National Institute of Technology Meghalaya |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Optimizing real-time stereo image retargeting for AR/VR
Real-time stereo image retargeting for augmented reality (AR) and virtual reality (VR) necessitates precise per-pixel depth estimation and ultra-low latency performance on resource-limited edge devices. Current disparity convolutional neural networks (CNNs) and retargeting pipelines are unable to meet these demanding requirements concurrently. This paper presents EASNet, a compact end-to-end framework that unifies geometry-aware proposal generati…
Evolution of IOT in health care by protecting and safeguarding private security in healthcare
Machines are being linked together in order to lessen the burden of medics in the near future while also offering effective services to patients. Furthermore, these gadgets generate a large amount of data during transmission. A clinical IoT based network is a networked system that must be protected from beginning to finish in order to function and communicate. To avoid sensitive data leakage from such devices/systems, connection should be encrypt…
Robust periocular recognition in training of CNN models using HOG- based gradient approach
Automated human recognition is a difficult challenge in using incomplete faces in bio-metric computer vision. As a result, periocular detection aims to discover humans by utilizing characteristics derived from the area around the eye. The region bounded by the half of the nasal region, jawline, and apex of the brow is used for periocular identification. As seen, the periocular facial structure comprises eye edges, eyebrows, eye foldings, and text…
Clinical investigation of sensing ailments in brain movement through physiological activity using ML technique
The main goal was to demonstrate that EEG and its derivatives may be utilised to recreate brain function using EEG data. This is vital to determine the application's source activities in order to assess various strategies that address the reverse issue, hence accessibility to a standardized EEG dataset is essential. Physiological and psychological tests could be used to determine alertness or activity levels in particular. Furthermore, changes of…
Random forest regression with hyper parameter tuning for medical insurance premium prediction
The proposed effort has the purpose of predicting an individual s insurance expenses also identifying people having medical insurance plans and clinical data, irrespective of their health concerns. A patient will require many types of health insurance. Regardless of the type of insurance coverage a person has, it is feasible to estimate their health insurance expenditures depends on the degree of critical care they get. The random forest Regressi…
Ensemble Approach on Predicting Blood Platelets Using Supervised Approach via Computational Bio Informatics
Platelets are little leukocytes that are essential for such blood coagulation. When an individual does not generate sufficient platelets they won't function effectively, then they will likely to have frequent haemorrhage and bruising since normal deterioration towards the exterior of blood vessels can go inoperable. This may be prescribed to accommodate patients using platelet transfusions via blood donors to halt such haemorrhage. Unfortunately,…
IoT based smart surgical management platform for hospitals to enhance safety in medical treatment
An automated surgical monitoring system was developed and put into use depending mostly on sophisticated IoT. The use of a system for medical professionals to enter and access data reduces errors and saves time needed filling out paperwork, which improves clinical outcomes as well as the standard of care. Additionally, this technique makes it possible to precisely retain and share all the data that was obtained during process. This method may be …
No prominent works on this page.
Evolution of IOT in health care by protecting and safeguarding private security in healthcare
Machines are being linked together in order to lessen the burden of medics in the near future while also offering effective services to patients. Furthermore, these gadgets generate a large amount of data during transmission. A clinical IoT based network is a networked system that must be protected from beginning to finish in order to function and communicate. To avoid sensitive data leakage from such devices/systems, connection should be encrypt…
Robust periocular recognition in training of CNN models using HOG- based gradient approach
Automated human recognition is a difficult challenge in using incomplete faces in bio-metric computer vision. As a result, periocular detection aims to discover humans by utilizing characteristics derived from the area around the eye. The region bounded by the half of the nasal region, jawline, and apex of the brow is used for periocular identification. As seen, the periocular facial structure comprises eye edges, eyebrows, eye foldings, and text…
Clinical investigation of sensing ailments in brain movement through physiological activity using ML technique
The main goal was to demonstrate that EEG and its derivatives may be utilised to recreate brain function using EEG data. This is vital to determine the application's source activities in order to assess various strategies that address the reverse issue, hence accessibility to a standardized EEG dataset is essential. Physiological and psychological tests could be used to determine alertness or activity levels in particular. Furthermore, changes of…
Random forest regression with hyper parameter tuning for medical insurance premium prediction
The proposed effort has the purpose of predicting an individual s insurance expenses also identifying people having medical insurance plans and clinical data, irrespective of their health concerns. A patient will require many types of health insurance. Regardless of the type of insurance coverage a person has, it is feasible to estimate their health insurance expenditures depends on the degree of critical care they get. The random forest Regressi…
Ensemble Approach on Predicting Blood Platelets Using Supervised Approach via Computational Bio Informatics
Platelets are little leukocytes that are essential for such blood coagulation. When an individual does not generate sufficient platelets they won't function effectively, then they will likely to have frequent haemorrhage and bruising since normal deterioration towards the exterior of blood vessels can go inoperable. This may be prescribed to accommodate patients using platelet transfusions via blood donors to halt such haemorrhage. Unfortunately,…
IoT based smart surgical management platform for hospitals to enhance safety in medical treatment
An automated surgical monitoring system was developed and put into use depending mostly on sophisticated IoT. The use of a system for medical professionals to enter and access data reduces errors and saves time needed filling out paperwork, which improves clinical outcomes as well as the standard of care. Additionally, this technique makes it possible to precisely retain and share all the data that was obtained during process. This method may be …
Optimizing real-time stereo image retargeting for AR/VR
Real-time stereo image retargeting for augmented reality (AR) and virtual reality (VR) necessitates precise per-pixel depth estimation and ultra-low latency performance on resource-limited edge devices. Current disparity convolutional neural networks (CNNs) and retargeting pipelines are unable to meet these demanding requirements concurrently. This paper presents EASNet, a compact end-to-end framework that unifies geometry-aware proposal generati…
Computer Science (6 works) · Artificial Intelligence (3 works) · Artificial Intelligence in Healthcare (2 works) · Business (2 works) · Health care (2 works) · IoT and Edge/Fog Computing (2 works) · Mathematics (2 works) · Medicine (2 works) · Actuarial science (1 work) · Advanced Image Processing Techniques (1 work)