Zobrazeno 1 - 10
of 23
pro vyhledávání: '"D. S. Vinod"'
Publikováno v:
IEEE Access, Vol 12, Pp 19285-19298 (2024)
Brain Tumours pose a significant health challenge, demanding the immediate development of reliable and automated detection methods within the medical sphere. Swift and accurate identification of these Tumours are crucial for effective treatment and t
Externí odkaz:
https://doaj.org/article/47bf2075125a4303b85253de6a21cf10
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811965807
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbc6cbb4151bd3767fbd1ab69747abad
https://doi.org/10.1007/978-981-19-6581-4_23
https://doi.org/10.1007/978-981-19-6581-4_23
Publikováno v:
Technical Advancements of Machine Learning in Healthcare ISBN: 9789813346970
Emphysema is a chronic obstructive lung disorder that causes shortness of breath. Emphysema detection from computed tomography scans is normally done by analysing areas with low attenuation and texture variations in the lungs. To capture both intensi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb5f6d4942da366b1c04f4a1350122f7
https://doi.org/10.1007/978-981-33-4698-7_5
https://doi.org/10.1007/978-981-33-4698-7_5
A Novel Fusion of Deep Learning and Android Application for Real-Time Mango Fruits Disease Detection
Autor:
D. S. Vinod, Vani Ashok
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811553998
The use of computer vision in agriculture has become popular due to the fact that it provides necessary information in real time. The recent advances in computer vision made possible by deep learning combined with increasing infiltration of smartphon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fba867dc3625cf417359ecc12a48d11
https://doi.org/10.1007/978-981-15-5400-1_74
https://doi.org/10.1007/978-981-15-5400-1_74
Publikováno v:
Sensing and Imaging. 21
Lung segmentation is a challenging task when increased attenuation appears at the periphery of the lungs. In case of increased attenuation, the intensity of the lung tissue closely matches with surrounding non-lung tissues. This paper presents intuit
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030626242
Accurate classification of Diffuse Lung Diseases (DLD) plays a significant role in the identification of the lung pathology. Efficient classifiers based on various learning strategies have been proposed for multi class DLD classification. Due to imba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9695f26a8b4a88e5bd8d383d6a38582
https://doi.org/10.1007/978-3-030-62625-9_8
https://doi.org/10.1007/978-3-030-62625-9_8
Autor:
D. S. Vinod, P. Mahesha
Stuttering is a primary speech disorder that basically affects the speech fluency of people who suffer from this disorder. It is epitomized by involuntary abnormal speech disruptions called dysfluencies in the natural progression of speech. It is ess
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2c6f1ea7cc965eba25ced42be70f30a
https://doi.org/10.1016/b978-0-12-818004-4.00004-2
https://doi.org/10.1016/b978-0-12-818004-4.00004-2
Autor:
D. S. Vinod, P. Mahesha
Publikováno v:
Journal of Intelligent Systems, Vol 25, Iss 3, Pp 387-399 (2016)
The classification of dysfluencies is one of the important steps in objective measurement of stuttering disorder. In this work, the focus is on investigating the applicability of automatic speaker recognition (ASR) method for stuttering dysfluency re
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811090585
Employing an accurate lung segmentation procedure is an essential stride in any Computer Aided Diagnosis (CAD) system designed for lung pathology evaluation, which significantly affects the performance of the system. In this paper a fully automated M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abb69a35eebd57f4f8aa28321efc6025
https://doi.org/10.1007/978-981-10-9059-2_5
https://doi.org/10.1007/978-981-10-9059-2_5
Autor:
D. S. Vinod, P. Mahesha
Publikováno v:
2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).
An efficient and compact representation of the speech properties offers potential benefits in discriminating stuttering dysfluencies. The presence of dysfluencies in speech causes variation in vocal tract structure and articulatory moments. The Mel F