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Malaya Kumar Nath
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2020 – today
- 2024
- [j21]Poonguzhali Elangovan, Dhurairajan Vijayalakshmi, Malaya Kumar Nath:
COVID-19Net: An Effective and Robust Approach for Covid-19 Detection Using Ensemble of ConvNet-24 and Customized Pre-trained Models. Circuits Syst. Signal Process. 43(4): 2385-2408 (2024) - [j20]Thivya Anbalagan, Malaya Kumar Nath, Archana Anbalagan:
Detection of Atrial Fibrillation from ECG Signal Using Efficient Feature Selection and Classification. Circuits Syst. Signal Process. 43(9): 5782-5808 (2024) - [j19]Vipin Venugopal, Malaya Kumar Nath, Justin Joseph, M. Vipin Das:
A deep learning-based illumination transform for devignetting photographs of dermatological lesions. Image Vis. Comput. 142: 104909 (2024) - [j18]Mithun Kumar Kar, Malaya Kumar Nath:
Efficient Segmentation of Vessels and Disc Simultaneously Using Multi-channel Generative Adversarial Network. SN Comput. Sci. 5(3): 288 (2024) - 2023
- [j17]Mithun Kumar Kar, Debanga Raj Neog, Malaya Kumar Nath:
Retinal Vessel Segmentation Using Multi-Scale Residual Convolutional Neural Network (MSR-Net) Combined with Generative Adversarial Networks. Circuits Syst. Signal Process. 42(2): 1206-1235 (2023) - [j16]Dhurairajan Vijayalakshmi, Malaya Kumar Nath:
A systematic approach for enhancement of homogeneous background images using structural information. Graph. Model. 130: 101206 (2023) - [j15]Dhurairajan Vijayalakshmi, Malaya Kumar Nath:
A strategic approach towards contrast enhancement by two-dimensional histogram equalization based on total variational decomposition. Multim. Tools Appl. 82(13): 19247-19274 (2023) - [c8]Sanghamitra Subhadarsini Dash, Malaya Kumar Nath, Thivya Anbalagan:
Identification of FECG from AECG Recordings using ICA over EMD. MICAD 2023: 236-248 - 2022
- [j14]Vipin Venugopal, Justin Joseph, M. Vipin Das, Malaya Kumar Nath:
DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-images. Comput. Biol. Medicine 148: 105852 (2022) - [j13]Vipin Venugopal, Justin Joseph, M. Vipin Das, Malaya Kumar Nath:
An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions. Comput. Methods Programs Biomed. 222: 106935 (2022) - [j12]Dhurairajan Vijayalakshmi, Malaya Kumar Nath:
A novel multilevel framework based contrast enhancement for uniform and non-uniform background images using a suitable histogram equalization. Digit. Signal Process. 127: 103532 (2022) - [j11]Poonguzhali Elangovan, Malaya Kumar Nath:
En-ConvNet: A novel approach for glaucoma detection from color fundus images using ensemble of deep convolutional neural networks. Int. J. Imaging Syst. Technol. 32(6): 2034-2048 (2022) - [j10]Yellamelli Prajna, Malaya Kumar Nath:
Efficient blood vessel segmentation from color fundus image using deep neural network. J. Intell. Fuzzy Syst. 42(4): 3477-3489 (2022) - [c7]Dhurairajan Vijayalakshmi, Malaya Kumar Nath:
Contrast Enhancement Technique for Efficient Detection of Cloud from Remote Sensing Images. CSNDSP 2022: 574-579 - 2021
- [j9]Dhurairajan Vijayalakshmi, Malaya Kumar Nath:
A Novel Contrast Enhancement Technique using Gradient-Based Joint Histogram Equalization. Circuits Syst. Signal Process. 40(8): 3929-3967 (2021) - [j8]Poonguzhali Elangovan, Malaya Kumar Nath:
Glaucoma assessment from color fundus images using convolutional neural network. Int. J. Imaging Syst. Technol. 31(2): 955-971 (2021) - [j7]Poonguzhali Elangovan, Malaya Kumar Nath:
A Novel Shallow ConvNet-18 for Malaria Parasite Detection in Thin Blood Smear Images. SN Comput. Sci. 2(5): 380 (2021) - [j6]Mithun Kumar Kar, Malaya Kumar Nath, Debanga Raj Neog:
A Review on Progress in Semantic Image Segmentation and Its Application to Medical Images. SN Comput. Sci. 2(5): 397 (2021) - [c6]LillyMaheepa Pavuluri, Malaya Kumar Nath:
Classification of Brain Tumor MR Images Using Transfer Learning and Machine Learning Models. CVIP (1) 2021: 1-9 - [c5]Dhurairajan Vijayalakshmi, Malaya Kumar Nath, Madhusudhan Mishra:
Novel Pre-processing Stage for Classification of CT Scan Covid-19 Images. SIGMAP 2021: 87-94 - 2020
- [j5]Sugan Nagarajan, Satya Sai Srinivas Nettimi, Lakshmi Sutha Kumar, Malaya Kumar Nath, Aniruddha Kanhe:
Speech emotion recognition using cepstral features extracted with novel triangular filter banks based on bark and ERB frequency scales. Digit. Signal Process. 104: 102763 (2020) - [j4]Malaya Kumar Nath, Samarendra Dandapat, Cornel Barna:
Automatic detection of blood vessels and evaluation of retinal disorder from color fundus images. J. Intell. Fuzzy Syst. 38(5): 6019-6030 (2020) - [c4]Satya Sai Srinivas Nettimi, Sugan Nagarajan, Lakshmi Sutha Kumar, Malaya Kumar Nath, Aniruddha Kanhe:
Digital Architecture for Instantaneous V/UV/S Classification of Noise Free Speech Segments. VDAT 2020: 1-6
2010 – 2019
- 2019
- [j3]Satya Sai Srinivas Nettimi, Sugan Nagarajan, Niladri Kar, Lakshmi Sutha Kumar, Malaya Kumar Nath, Aniruddha Kanhe:
Recognition of Spoken Languages from Acoustic Speech Signals Using Fourier Parameters. Circuits Syst. Signal Process. 38(11): 5018-5067 (2019) - 2016
- [c3]Manoj Kumar, Manikandan, Malaya Kumar Nath:
Detection of Microaneurysms and Exudates from Color Fundus Images by using SBGFRLS Algorithm. ICIA 2016: 36:1-36:6 - 2013
- [j2]Malaya Kumar Nath, Samarendra Dandapat:
Multiscale ICA for fundus image analysis. Int. J. Imaging Syst. Technol. 23(4): 327-337 (2013) - 2012
- [j1]Malaya Kumar Nath, Samarendra Dandapat:
Differential entropy in wavelet sub-band for assessment of glaucoma. Int. J. Imaging Syst. Technol. 22(3): 161-165 (2012)
2000 – 2009
- 2009
- [c2]Malaya Kumar Nath:
Independent Component Analysis of Real Data. ICAPR 2009: 149-152 - [c1]Atif Sharif, Rana Fayyaz Ahmad, Malaya Kumar Nath, Vidyasagar M. Potdar, Jaipal Singh, Yan Yang:
Processing of Low Level Signals in Mixed Signal Environment - A Hardware Design for Better Performance. NBiS 2009: 597-602
Coauthor Index
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last updated on 2024-12-08 01:28 CET by the dblp team
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