Zobrazeno 1 - 10
of 2 913
pro vyhledávání: '"Kasi P"'
Autor:
Kasi Parthasarathi, Mariappan Balamurugan, Kottath Valappil Prashija, Lakshmanan Jayanthi, Shaik Ameer Basha
Publikováno v:
International Journal of Recycling of Organic Waste in Agriculture, Vol 5, Iss 1 (2024)
Purpose The aim of this study was to recycle and reuse the enormously available unutilized lignocellulosic solid organic waste resource, cashew leaf litter (CLL) admixed with various animal dungs, cowdung, sheepdung and horsedung by employing predomi
Externí odkaz:
https://doaj.org/article/7dab2b12363a451e862a64ee40d79a4c
Autor:
Ghulam Muhiuddin, Nabilah Abughazalah, Balasubramanian Elavarasan, Kasi Porselvi, Deena Al-Kadi
Publikováno v:
Symmetry, Vol 16, Iss 1, p 41 (2023)
The study of symmetry is a fascinating and unifying subject that connects various areas of mathematics in the twenty-first century. Algebraic structures offer a framework for comprehending the symmetries of geometric objects in pure mathematics. This
Externí odkaz:
https://doaj.org/article/19f9923929ef4b88ba6963d6a841f628
Autor:
Khetrapal, Surbhi, Kasi, Jaswin
Solving non-linear partial differential equations which exhibit chaotic dynamics is an important problem with a wide-range of applications such as predicting weather extremes and financial market risk. Fourier neural operators (FNOs) have been shown
Externí odkaz:
http://arxiv.org/abs/2410.12280
Forward Error Correction (FEC) provides reliable data flow in wireless networks despite the presence of noise and interference. However, its processing demands significant fraction of a wireless network's resources, due to its computationally-expensi
Externí odkaz:
http://arxiv.org/abs/2408.11726
Publikováno v:
Symmetry, Vol 14, Iss 7, p 1367 (2022)
The nature of universe problems is ambiguous due to the presence of asymmetric data in almost all disciplines, including engineering, mathematics, medical sciences, physics, computer science, operations research, artificial intelligence, and manageme
Externí odkaz:
https://doaj.org/article/ce308ca019094f5c8cdc909c0880ac3c
Autor:
Chan, Yi Hao, Girish, Deepank, Gupta, Sukrit, Xia, Jing, Kasi, Chockalingam, He, Yinan, Wang, Conghao, Rajapakse, Jagath C.
Graph neural networks (GNN) have emerged as a popular tool for modelling functional magnetic resonance imaging (fMRI) datasets. Many recent studies have reported significant improvements in disorder classification performance via more sophisticated G
Externí odkaz:
http://arxiv.org/abs/2405.00577
Autor:
Patra, Braja Gopal, Lepow, Lauren A., Kumar, Praneet Kasi Reddy Jagadeesh, Vekaria, Veer, Sharma, Mohit Manoj, Adekkanattu, Prakash, Fennessy, Brian, Hynes, Gavin, Landi, Isotta, Sanchez-Ruiz, Jorge A., Ryu, Euijung, Biernacka, Joanna M., Nadkarni, Girish N., Talati, Ardesheer, Weissman, Myrna, Olfson, Mark, Mann, J. John, Charney, Alexander W., Pathak, Jyotishman
Background: Social support (SS) and social isolation (SI) are social determinants of health (SDOH) associated with psychiatric outcomes. In electronic health records (EHRs), individual-level SS/SI is typically documented as narrative clinical notes r
Externí odkaz:
http://arxiv.org/abs/2403.17199
LiDAR semantic segmentation frameworks predominantly use geometry-based features to differentiate objects within a scan. Although these methods excel in scenarios with clear boundaries and distinct shapes, their performance declines in environments w
Externí odkaz:
http://arxiv.org/abs/2403.13188
Autor:
Bandla, Kasi, Pal, Dipankar
Strong-ARM Dynamic Latch Comparators are widely used in high-speed analog-to-digital converters (ADCs), sense amplifiers in memory, RFID applications, and data receivers. This paper presents different methods to improve the performance of Strong-Arm
Externí odkaz:
http://arxiv.org/abs/2402.14519
LiDAR is used in autonomous driving to provide 3D spatial information and enable accurate perception in off-road environments, aiding in obstacle detection, mapping, and path planning. Learning-based LiDAR semantic segmentation utilizes machine learn
Externí odkaz:
http://arxiv.org/abs/2401.01439