Zobrazeno 1 - 10
of 29
pro vyhledávání: '"S. Madhan Kumar"'
Publikováno v:
Journal of Natural Fibers, Vol 19, Iss 4, Pp 1498-1506 (2022)
The defect classification of knitted fabrics is a challenging area of research. Most of the defect detection works in India; Bangladesh is being carried by manually trained inspectors. The long working hours and the working environment at the company
Externí odkaz:
https://doaj.org/article/b5d0bd40cad94704b7c3115e79d19de3
The Predicted Mean Vote (PMV) index is a widely accepted method in the building automation sector because it can precisely estimate indoor thermal comfort levels depending on a variety of environmental parameters. This study suggests an experimental
Externí odkaz:
http://arxiv.org/abs/2409.00080
Community parks play a crucial role in promoting physical activity and overall well-being. This study introduces DLICP (Deep Learning Integrated Community Parks), an innovative approach that combines deep learning techniques specifically, face recogn
Externí odkaz:
http://arxiv.org/abs/2407.04986
Autor:
Sebastian, Abhishek, A, Annis Fathima, R, Pragna, S, Madhan Kumar, G, Yaswanth Kannan, Murali, Vinay
Our paper introduces a robust framework for the automated identification of diseases in plant leaf images. The framework incorporates several key stages to enhance disease recognition accuracy. In the pre-processing phase, a thumbnail resizing techni
Externí odkaz:
http://arxiv.org/abs/2402.17424
Publikováno v:
Polycyclic Aromatic Compounds. :1-23
Autor:
K Sumathi Nitin, T V Padmanabhan, V Anand Kumar, N Parthasarathi, M Uma Maheswari, S Madhan Kumar
Publikováno v:
Indian Journal of Dental Research, Vol 29, Iss 5, Pp 634-640 (2018)
Background: The physiologically mobile natural tooth and rigidly fixed dental implant causes different distribution of stress when connected in prosthesis and nonrigid connector compensates this. Understanding of biomechanical behavior is necessary f
Externí odkaz:
https://doaj.org/article/1ed5c844a0bd4b429c186c1b11cf9364
Publikováno v:
Recent Advances in Material, Manufacturing, and Machine Learning ISBN: 9781003358596
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64f9989d1824ab0887fffed10eee681c
https://doi.org/10.1201/9781003358596-30
https://doi.org/10.1201/9781003358596-30
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811965807
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a32c9999b073e68f03f7328d064caced
https://doi.org/10.1007/978-981-19-6581-4_38
https://doi.org/10.1007/978-981-19-6581-4_38
Publikováno v:
Materials Today: Proceedings. 45:6822-6832
Much research has been conducted in the past to reduce the weight of the vehicle to increase the fuel economy. The main aim of this research work is to reduce the weight of the automotive transmission gear box by removing the material in the gears wi
Autor:
S. Madhan Kumar, Chandolu Yaswanth, Garre Sai Bharath, Elavarasan Govindaraj, Surisetty Sri Sai Girish
Publikováno v:
Materials Today: Proceedings. 45:6708-6711
The main purpose of this work is to prepare Aluminum metal matrix composite in an attempt to improve it’s mechanical, electrical and wear properties. To achieve this objective, three compositions were selected. Al 6063H9, Al-2percent Graphite, Al-4