Zobrazeno 1 - 10
of 17 666
pro vyhledávání: '"Selvakumar A"'
Autor:
Samantha Nimalasena, Selvakumar Anbalagan, Carol Box, Sheng Yu, Jessica K. R. Boult, Nigel Bush, Louise Howell, Victoria Sinnett, William Murphy, John Yarnold, Simon P. Robinson, Navita Somaiah
Publikováno v:
BJC Reports, Vol 2, Iss 1, Pp 1-9 (2024)
Abstract Background KORTUC (0.5% hydrogen peroxide (H2O2) in 1% sodium-hyaluronate) releases cytotoxic levels of H2O2 in tissues after intratumoural injection. High levels of tumour control after radiotherapy plus KORTUC are reported in breast cancer
Externí odkaz:
https://doaj.org/article/0c881a01e64a4300bce4882f30035f12
Autor:
Nandu Babu, Kumar Velappan Nair, Keerthi Krishnan Kallorath, Selvakumar Arulprakasam, Sudeep Ullattil
Publikováno v:
Materials Research, Vol 27 (2024)
Cryogenic treatment enhances the properties of cutting tools. This study investigates the effects of shallow and deep cryogenic treatments to TiAlSiN coated tungsten carbide tool used in end milling of maraging steel C300. Experiments are conducted i
Externí odkaz:
https://doaj.org/article/7358cfeaf83f4becb175e70f2b683500
Autor:
Shikha Talwar Bassi, Ramesh Pamu, Selvakumar Ambika, Smita Praveen, Durga Priyadarshini, Vidhya Dharini, K Padmalakshmi
Publikováno v:
Indian Journal of Ophthalmology, Vol 72, Iss 5, Pp 672-676 (2024)
Purpose: To study the optic nerve head characteristics on optical coherence tomography (OCT) in patients with papilledema and correlate them with intracranial pressure (ICP). Methods: A retrospective hospital-based study of 46 eyes of 23 patients wit
Externí odkaz:
https://doaj.org/article/06ec3664cb9b439293605ae03f863058
Autor:
Selvakumar Ambika, Santhakumar Durgapriyadarshini, Krishnakumar Padmalakshmi, Veena Noronha, Deepak Arjundas
Publikováno v:
Indian Journal of Ophthalmology, Vol 70, Iss 1, Pp 194-200 (2022)
Purpose: To analyze clinical profile, imaging features, and short-term visual outcomes of optic neuritis patients in Indian population with and without seromarkers for myelin oligodendrocyte glycoprotein (MOG)/neuromyelitis optica (NMO). Methods: Ele
Externí odkaz:
https://doaj.org/article/7950c314cae947eca44346c481ef17b6
Publikováno v:
Indian Journal of Ophthalmology, Vol 70, Iss 3, Pp 958-961 (2022)
Purpose: To report the ocular features of patients with PD who presented with visual complaints to a tertiary eye care center. Methods: This was a retrospective study carried out between January 2015 and March 2020 at the Neuro-Optometry clinic of a
Externí odkaz:
https://doaj.org/article/b836a5b6217a4b51ade617e93c91072f
Publikováno v:
Case Studies in Construction Materials, Vol 17, Iss , Pp e01693- (2022)
Large-scale structures are more prone to risk than small-scale structures due to their increased weight, stiffness and ductility parameters. The main focus of this investigative study is on the structural monitoring of a building using the non-destru
Externí odkaz:
https://doaj.org/article/abf926e9da9147899f5f47b408223e8f
Autor:
Sakshi, S, Tyagi, Utkarsh, Kumar, Sonal, Seth, Ashish, Selvakumar, Ramaneswaran, Nieto, Oriol, Duraiswami, Ramani, Ghosh, Sreyan, Manocha, Dinesh
The ability to comprehend audio--which includes speech, non-speech sounds, and music--is crucial for AI agents to interact effectively with the world. We present MMAU, a novel benchmark designed to evaluate multimodal audio understanding models on ta
Externí odkaz:
http://arxiv.org/abs/2410.19168
Autor:
Selvakumar, Ramaneswaran, Kumar, Sonal, Giri, Hemant Kumar, Anand, Nishit, Seth, Ashish, Ghosh, Sreyan, Manocha, Dinesh
Open-vocabulary audio language models (ALMs), like Contrastive Language Audio Pretraining (CLAP), represent a promising new paradigm for audio-text retrieval using natural language queries. In this paper, for the first time, we perform controlled exp
Externí odkaz:
http://arxiv.org/abs/2410.16505
Audio-Language Models (ALMs) have demonstrated remarkable performance in zero-shot audio classification. In this paper, we introduce PAT (Parameter-free Audio-Text aligner), a simple and training-free method aimed at boosting the zero-shot audio clas
Externí odkaz:
http://arxiv.org/abs/2410.15062
Autor:
Seth, Ashish, Selvakumar, Ramaneswaran, Sakshi, S, Kumar, Sonal, Ghosh, Sreyan, Manocha, Dinesh
In this paper, we present EH-MAM (Easy-to-Hard adaptive Masked Acoustic Modeling), a novel self-supervised learning approach for speech representation learning. In contrast to the prior methods that use random masking schemes for Masked Acoustic Mode
Externí odkaz:
http://arxiv.org/abs/2410.13179