Zobrazeno 1 - 10
of 12 121
pro vyhledávání: '"Pavan Kumar."'
Brain tumors are abnormalities that can severely impact a patient's health, leading to life-threatening conditions such as cancer. These can result in various debilitating effects, including neurological issues, cognitive impairment, motor and sensor
Externí odkaz:
http://arxiv.org/abs/2409.00804
Autor:
Narkedimilli, Sathwik, Kumar, Rayachoti Arun, Kumar, N. V. Saran, Reddy, Ramapathruni Praneeth, C, Pavan Kumar
Vehicular Ad-Hoc Networks (VANETs) hold immense potential for improving traffic safety and efficiency. However, traditional centralized approaches for machine learning in VANETs raise concerns about data privacy and security. Federated Learning (FL)
Externí odkaz:
http://arxiv.org/abs/2407.21141
We experimentally investigate the morphology and breakup of a droplet as it descends freely from a height and encounters an airstream. The size distributions of the child droplets are analysed using high-speed shadowgraphy and in-line holography tech
Externí odkaz:
http://arxiv.org/abs/2407.13160
Autor:
V, Pandiyaraju, Venkatraman, Shravan, A, Abeshek, S, Pavan Kumar, A, Aravintakshan S, M, Senthil Kumar A, A, Kannan
Farmers face various challenges when it comes to identifying diseases in rice leaves during their early stages of growth, which is a major reason for poor produce. Therefore, early and accurate disease identification is important in agriculture to av
Externí odkaz:
http://arxiv.org/abs/2407.11753
Autor:
V, Pandiyaraju, Venkatraman, Shravan, A, Abeshek, A, Aravintakshan S, S, Pavan Kumar, A, Kannan
Alzheimer's disease (AD) represents the primary form of neurodegeneration, impacting millions of individuals each year and causing progressive cognitive decline. Accurately diagnosing and classifying AD using neuroimaging data presents ongoing challe
Externí odkaz:
http://arxiv.org/abs/2407.10921
Autor:
Hsieh, Yu-Guan, Hsieh, Cheng-Yu, Yeh, Shih-Ying, Béthune, Louis, Ansari, Hadi Pour, Vasu, Pavan Kumar Anasosalu, Li, Chun-Liang, Krishna, Ranjay, Tuzel, Oncel, Cuturi, Marco
Humans describe complex scenes with compositionality, using simple text descriptions enriched with links and relationships. While vision-language research has aimed to develop models with compositional understanding capabilities, this is not reflecte
Externí odkaz:
http://arxiv.org/abs/2407.06723
Breast cancer poses a profound threat to lives globally, claiming numerous lives each year. Therefore, timely detection is crucial for early intervention and improved chances of survival. Accurately diagnosing and classifying breast tumors using ultr
Externí odkaz:
http://arxiv.org/abs/2407.02844
Autor:
Jae Hyoung Im, MD, Chung Hyun Nahm, PhD, Young Soo Je, MD, Jin-Soo Lee, PhD, Ji Hyeon Baek, MD, Hea Yoon Kwon, MD, Moon-Hyun Chung, PhD, Ji-Hun Jang, MD, Jung Soo Kim, MD, Jun Hyeok Lim, MD, Mi Hwa Park, MD, Pavan Kumar.
Publikováno v:
Medicine, Vol 101, Iss 18, p e29027 (2022)
Abstract. Epstein–Barr virus (EBV) is frequently reactivated by coronavirus 2019 (COVID-19), and a high incidence of EBV viremia has been reported in patients with severe COVID-19. However, the impact of EBV viremia on progression to severe COVID-1
Externí odkaz:
https://doaj.org/article/2b7aeda8817749429c6a4a7d21d80638
Autor:
Pouransari, Hadi, Li, Chun-Liang, Chang, Jen-Hao Rick, Vasu, Pavan Kumar Anasosalu, Koc, Cem, Shankar, Vaishaal, Tuzel, Oncel
Large language models (LLMs) are commonly trained on datasets consisting of fixed-length token sequences. These datasets are created by randomly concatenating documents of various lengths and then chunking them into sequences of a predetermined targe
Externí odkaz:
http://arxiv.org/abs/2405.13226
CLIP models perform remarkably well on zero-shot classification and retrieval tasks. But recent studies have shown that learnt representations in CLIP are not well suited for dense prediction tasks like object detection, semantic segmentation or dept
Externí odkaz:
http://arxiv.org/abs/2405.08911