Sriramakrishnan, P.: search on Z-Library

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1

[IEEE 2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES) - Krishnankoil, India (2019.12.18-2019.12.20)] 2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES) - Designing Communication System for Person with Locked in Syndrome Using Machine Learning Technique

Ramkumar, S., Emayavaramban, G., Kumar, K. Sathesh, Shankar, K., Ilayaraja, M., Sriramakrishnan, P., Abraham Navamani, J. Macklin

Year:

2019

File:

PDF, 2.95 MB

2019

2

Deriving tumor detection models using convolutional neural networks from MRI of human brain scans

Kalaiselvi, T., Padmapriya, S. T., Sriramakrishnan, P., Somasundaram, Karuppanagounder

Journal:

International Journal of Information Technology

Year:

2020

Language:

english

File:

PDF, 795 KB

english, 2020

3

Performance improvement of fuzzy-based algorithms for medical image retrieval

Chinnasamy, Sriramakrishnan

Journal:

IET Image Processing

Year:

2014

Language:

english

File:

PDF, 335 KB

english, 2014

4

[IEEE 2016 International Computer Science and Engineering Conference (ICSEC) - Chiang Mai, Thailand (2016.12.14-2016.12.17)] 2016 International Computer Science and Engineering Conference (ICSEC) - Brain abnormality detection from MRI of human head scans using the bilateral symmetry property and histogram similarity measures

Kalaiselvi, T., Sriramakrishnan, P., Somasundaram, K.

Year:

2016

Language:

english

File:

PDF, 646 KB

english, 2016

5

[IEEE 2014 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) - Bangalore, India (2014.01.6-2014.01.7)] 2014 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) - Network stack optimization techniques for Multichannel Network Video Receivers

Marathe, Yogesh, Govindarajan, Sriramakrishnan, Chitnis, Kedar

Year:

2014

Language:

english

File:

PDF, 2.94 MB

english, 2014

6

[IEEE 2018 International Conference on Research in Intelligent and Computing in Engineering (RICE) - San Salvador, El Salvador (2018.8.22-2018.8.24)] 2018 International Conference on Research in Intelligent and Computing in Engineering (RICE) - Contemplated Method for Predicting Disease by Deep Learning Approach Over Big Data

Chandrasekaran, Sriramakrishnan

Year:

2018

Language:

english

File:

PDF, 257 KB

english, 2018

7

Rapid brain tissue segmentation process by modified FCM algorithm with CUDA enabled GPU machine

Kalaiselvi, T, Sriramakrishnan, P

Journal:

International Journal of Imaging Systems and Technology

Year:

2018

Language:

english

File:

PDF, 943 KB

english, 2018

8

Brain Tumor Detection from Multimodal MRI Brain Images using Pseudo Coloring Processes

Kalaiselvi, T., Kumarashankar, P., Sriramakrishnan, P., Karthigaiselvi, S.

Journal:

Procedia Computer Science

Year:

2019

File:

PDF, 649 KB

2019

9

An automatic selfâinitialized clustering method for brain tissue segmentation and pathology detection from magnetic resonance human head scans with graphics processing unit machine

Thiruvenkadam, Kalaiselvi, Nagarajan, Kalaichelvi, Padmanaban, Sriramakrishnan

Journal:

Concurrency and Computation: Practice and Experience

Year:

2020

File:

PDF, 3.25 MB

2020

10

Three-Phase Automatic Brain Tumor Diagnosis System Using Patches Based Updated Run Length Region Growing Technique

Kalaiselvi, T., Kumarashankar, P., Sriramakrishnan, P.

Journal:

Journal of Digital Imaging

Year:

2019

Language:

english

File:

PDF, 2.79 MB

english, 2019

11

Development of automatic glioma brain tumor detection system using deep convolutional neural networks

Kalaiselvi, Thiruvenkadam, Padmapriya, Thiyagarajan, Sriramakrishnan, Padmanaban, Priyadharshini, Venugopal

Journal:

International Journal of Imaging Systems and Technology

Year:

2020

File:

PDF, 1.70 MB

2020

12

Knowledge based fuzzy c-means method for rapid brain tissues segmentation of magnetic resonance imaging scans with CUDA enabled GPU machine

Valsalan, Prajoona, Sriramakrishnan, P., Sridhar, S., Latha, G. Charlyn Pushpa, Priya, A., Ramkumar, S., Singh, A. Robert, Rajendran, T.

Journal:

Journal of Ambient Intelligence and Humanized Computing

Year:

2020

File:

PDF, 2.30 MB

2020

13

Survey of using GPU CUDA programming model in medical image analysis

Kalaiselvi, T., Sriramakrishnan, P., Somasundaram, K.

Journal:

Informatics in Medicine Unlocked

Year:

2017

Language:

english

File:

PDF, 1000 KB

english, 2017

14

EPR data hiding in MRI head volumes for telemedicine using rectangular box embedding method

Kalaiselvi, T., Somasundaram, K., Vijayalakshmi, S., Sriramakrishnan, P.

Journal:

International Journal of Telemedicine and Clinical Practices

Year:

2018

File:

PDF, 436 KB

2018

15

Modified classic a priori algorithm for association rule mining

Anitha, G, A. Karthika, R, Bindu, G, V. Sriramakrishnan, G

Journal:

International Journal of Engineering and Technology

Year:

2018

Language:

english

File:

PDF, 282 KB

english, 2018

16

A rapid knowledge‐based partial supervision fuzzy c‐means for brain tissue segmentation with CUDA‐enabled GPU machine

Sriramakrishnan, Padmanaban, Kalaiselvi, Thiruvenkadam, Somasundaram, Karuppanagounder, Rangasami, Rajeswaran

Journal:

International Journal of Imaging Systems and Technology

Year:

2019

Language:

english

File:

PDF, 3.00 MB

english, 2019

17

A rapid knowledge‐based partial supervision fuzzy c‐means for brain tissue segmentation with CUDA‐enabled GPU machine

Sriramakrishnan, Padmanaban, Kalaiselvi, Thiruvenkadam, Somasundaram, Karuppanagounder, Rangasami, Rajeswaran

Journal:

International Journal of Imaging Systems and Technology

Year:

2019

File:

PDF, 3.00 MB

2019

18

[IEEE 2018 12th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS) - Karachi, Pakistan (2018.11.24-2018.11.25)] 2018 12th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS) - Comparative Analysis of Astrophysical Data by Different Nonlinear Regression Strategies

Perichiappan Perichappan, Kumar Attangudi, Chandrasekaran, Sriramakrishnan, Sargsyan, Hayk

Year:

2018

File:

PDF, 8 KB

2018

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