Zobrazeno 1 - 10
of 5 840
pro vyhledávání: '"P Selvakumar"'
Autor:
Aravind A.R., Santhi G.B., Patil S.T., P Selvakumar, Sharma Gunjan, Dhamone Jeetendra, Ragu Nathan S.
Publikováno v:
E3S Web of Conferences, Vol 591, p 06002 (2024)
This paper investigates the potential of blockchain technology to transform energy markets through peer-to-peer (P2P) energy trading. Blockchain enables decentralized, transparent, and secure energy transactions, allowing consumers to trade electrici
Externí odkaz:
https://doaj.org/article/f88bc7b822984cb8b4fe51e66c9432f0
Autor:
P Selvakumar
Publikováno v:
Biomedical and Biotechnology Research Journal, Vol 6, Iss 3, Pp 295-301 (2022)
Herbs are plants grown for their medicinal, flavoring, or aromatic properties. Herbal treatments are safe and efficient for treating a wide range of ailments. Western medicine, or allopathy, is primarily reliant on medicinal plants for some of its co
Externí odkaz:
https://doaj.org/article/dab76ce403b640babecbdd49b9139e7a
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
Publikováno v:
International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249-8958 (Online), Volume-9 Issue-1S3, December 2019
The machine vision systems have been playing a significant role in visual monitoring systems. With the help of stereovision and machine learning, it will be able to mimic human-like visual system and behaviour towards the environment. In this paper,
Externí odkaz:
http://arxiv.org/abs/2406.19498
Publikováno v:
Materials Research Express, Vol 10, Iss 1, p 015003 (2023)
Copper/Diamond composites have gained a lot of attention in recent years due to their excellent thermal conductivity and their potential for use in high-power electronic devices. The current work targets on an experimental investigation of the tribol
Externí odkaz:
https://doaj.org/article/cd5929a646c747e2b03bd8ed438f9c96
Autor:
Wu, Songyin, Vembar, Deepak, Sochenov, Anton, Panneer, Selvakumar, Kim, Sungye, Kaplanyan, Anton, Yan, Ling-Qi
Real-time rendering has been embracing ever-demanding effects, such as ray tracing. However, rendering such effects in high resolution and high frame rate remains challenging. Frame extrapolation methods, which don't introduce additional latency as o
Externí odkaz:
http://arxiv.org/abs/2406.18551
Publikováno v:
Materials Research Express, Vol 9, Iss 11, p 115504 (2022)
Organic phase change materials like paraffin possess high latent heat yet incredibly low thermal conductivity. For improving the thermal conductivity, nanomaterials are introduced into the phase change materials. Thermal energy storage applications b
Externí odkaz:
https://doaj.org/article/5fbeac936a9346cda0816e25d286430e