Zobrazeno 1 - 10
of 137 420
pro vyhledávání: '"A. Dinesh"'
Autor:
R. Sakthi Murugan, Pitchai Sali Mohamed Hajasharif, C. Manoharan, A. Dinesh, S. Suthakaran, Manikandan Ayyar, Mohamed Hashem, Hassan Fouad
Publikováno v:
Results in Chemistry, Vol 11, Iss , Pp 101830- (2024)
In this present study, pure Co3O4 and Cu-substituted Co3O4 nanoparticles (NPs) were prepared by a simple co-precipitation method and their structural, morphological, optical, and electrochemical properties were assessed. X-ray diffraction (XRD) analy
Externí odkaz:
https://doaj.org/article/11bb1ea4443048c0ac2ec89083f25142
Autor:
A. Dinesh, K. Kanmani Raja, Ayyar Manikandan, M.A. Almessiere, Y. Slimani, A. Baykal, Hajer Saeed Alorfi, Mahmoud Ali Hussein, Anish Khan
Publikováno v:
Journal of Materials Research and Technology, Vol 18, Iss , Pp 5280-5289 (2022)
This paper reports the impacts of cerium (Ce) substitution on morphological, magnetic and structural characteristics of Mn0.5Zn0.5CexFe2-xO4 (x = 0.0, 0.3 and 0.5) ferrites nanoparticles (NPs) prepared via sol gel combustion method. The crystalline s
Externí odkaz:
https://doaj.org/article/e1b71b4bf57a4a7c83efda6ba1f74b9d
Medical task-oriented dialogue systems can assist doctors by collecting patient medical history, aiding in diagnosis, or guiding treatment selection, thereby reducing doctor burnout and expanding access to medical services. However, doctor-patient di
Externí odkaz:
http://arxiv.org/abs/2410.14204
Autor:
Ghosh, Sreyan, Rasooli, Mohammad Sadegh, Levit, Michael, Wang, Peidong, Xue, Jian, Manocha, Dinesh, Li, Jinyu
Generative Error Correction (GEC) has emerged as a powerful post-processing method to enhance the performance of Automatic Speech Recognition (ASR) systems. However, we show that GEC models struggle to generalize beyond the specific types of errors e
Externí odkaz:
http://arxiv.org/abs/2410.13198
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
Autor:
Bobba, Kumar Srinivas, K, Kartheeban, Sai, Vamsi Krishna, Bugga, Dinesh, Bolla, Vijaya Mani Surendra
This project proposes the development of a comprehensive real-time biodiversity monitoring system that harnesses sound data through a network of acoustic sensors and advanced artificial intelligence algorithms. The system analyzes sound recordings fr
Externí odkaz:
http://arxiv.org/abs/2410.12897
Autor:
Panda, Dinesh Kumar, Benjamin, Colin
Quantum states exhibiting single-particle entanglement (SPE) can encode and process quantum information more robustly than their multi-particle analogs. Understanding the vulnerability and resilience of SPE to disorder is therefore crucial. This lett
Externí odkaz:
http://arxiv.org/abs/2410.12710
As the number of devices getting connected to the vehicular network grows exponentially, addressing the numerous challenges of effectively allocating spectrum in dynamic vehicular environment becomes increasingly difficult. Traditional methods may no
Externí odkaz:
http://arxiv.org/abs/2410.12521
Autor:
Liang, Jing, Yin, He, Qi, Xuewei, Park, Jong Jin, Sun, Min, Madhivanan, Rajasimman, Manocha, Dinesh
We introduce ET-Former, a novel end-to-end algorithm for semantic scene completion using a single monocular camera. Our approach generates a semantic occupancy map from single RGB observation while simultaneously providing uncertainty estimates for s
Externí odkaz:
http://arxiv.org/abs/2410.11019
Recently, 3D Gaussian splatting has gained attention for its capability to generate high-fidelity rendering results. At the same time, most applications such as games, animation, and AR/VR use mesh-based representations to represent and render 3D sce
Externí odkaz:
http://arxiv.org/abs/2410.08941