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T.Jemima Jebaseeli
T.Jemima Jebaseeli
Associate Professor, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India.
Verified email at karunya.edu
Title
Cited by
Cited by
Year
Retinal blood vessel segmentation from diabetic retinopathy images using tandem PCNN model and deep learning based SVM
TJ Jebaseeli, CAD Durai, JD Peter
Optik 199, 163328, 2019
812019
Segmentation of retinal blood vessels from ophthalmologic diabetic retinopathy images
TJ Jebaseeli, CAD Durai, JD Peter
Computers & Electrical Engineering 73, 245-258, 2019
492019
A survey on multi-focus image fusion methods
A Anish, TJ Jebaseeli
Int J Adv Res Comput Eng Technol (IJARCET) 1 (8), 319-324, 2012
232012
IOT Based Sustainable Diabetic Retinopathy Diagnosis System
JDP T.Jemima Jebaseeli,C.Anand Deva Durai
Sustainable Computing: Informatics and Systems, 2018
19*2018
Fraud detection for credit card transactions using random forest algorithm
T Jemima Jebaseeli, R Venkatesan, K Ramalakshmi
Intelligence in Big Data Technologies—Beyond the Hype: Proceedings of …, 2021
162021
Extraction of retinal blood vessels on fundus images by kirsch's template and Fuzzy C-Means
TJ Jebaseeli, CAD Durai, JD Peter
Journal of medical physics 44 (1), 21-26, 2019
132019
A novel color image fusion for multi sensor night vision images
JJ Christinal, TJ Jebaseeli
International Journal of Computer Applications Technology and Research 2 (2 …, 2013
122013
Retinal blood vessel segmentation from depigmented diabetic retinopathy images
T Jemima Jebaseeli, C Anand Deva Durai, J Dinesh Peter
IETE Journal of Research 67 (2), 263-280, 2021
102021
Distributed optimal congestion control and channel assignment in wireless mesh networks
DJ David, V Jegathesan, TJ Jebaseeli
TELKOMNIKA (Telecommunication Computing Electronics and Control) 19 (2), 414-420, 2021
72021
Segmentation of type ii diabetic patient’s retinal blood vessel to diagnose diabetic retinopathy
T Jemima Jebaseeli, C Anand Deva Durai, J Dinesh Peter
Computer Aided Intervention and Diagnostics in Clinical and Medical Images …, 2019
52019
Segmentation of retinal blood vessels using pulse coupled neural network to delineate diabetic retinopathy
T Jemima Jebaseeli, D Sujitha Juliet, C Anand Devadurai
Digital Connectivity–Social Impact: 51st Annual Convention of the Computer …, 2016
52016
A comparison of machine learning techniques for the prediction of the student’s academic performance
J Kumari, R Venkatesan, T Jemima Jebaseeli, V Abisha Felsit, ...
Emerging Trends in Computing and Expert Technology, 1052-1062, 2020
42020
A Survey Of Fusion Of Remote Sensing Images To Avoid Spectral Distortion
D Joseph, T JemimaJebaseeli
International Journal of Engineering Research & Technology (IJERT) Vol 1 …, 2012
42012
A survey on color image fusion for multi sensor night vision image
JJ Christinal, TJ Jebaseeli
J. Adv. Res. Comput. Eng. Technol 1 (9), 151-155, 2012
32012
Human Emotion Detection Using DeepFace and Artificial Intelligence
R Venkatesan, S Shirly, M Selvarathi, TJ Jebaseeli
Engineering Proceedings 59 (1), 37, 2023
22023
Diagnosis of ophthalmic retinoblastoma tumors using 2.75 D CNN segmentation technique
TJ Jebaseeli, DJ David
Computational Methods and Deep Learning for Ophthalmology, 107-119, 2023
22023
Machine learning and Internet of Things techniques to assist the type I diabetic patients to predict the regular optimal insulin dosage
T Jemima Jebaseeli, D Jasmine David, V Jegathesan
Internet of Medical Things: Remote Healthcare Systems and Applications, 159-174, 2021
22021
Localization of underwater sensor nodes using the cuckoo search algorithm
P Dharsini, T Jebaseeli, D David
J Mech Cont Math Sci 15 (7), 225-236, 2020
22020
Recent trends in channel assignment techniques in wireless mesh networks
DJ David, V Jegathesan, TJ Jebaseeli, AB Ambrose
Deep Learning Strategies for Security Enhancement in Wireless Sensor …, 2020
22020
Digital Connectivity–Social Impact: 51st Annual Convention of the Computer Society of India, CSI 2016, Coimbatore, India, December 8-9, 2016, Proceedings
S Subramanian, R Nadarajan, S Rao, S Sheen
Springer, 2016
22016
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