Zobrazeno 1 - 10
of 4 726
pro vyhledávání: '"Sadasivan A"'
Autor:
Ramesh R, Sadasivan A
Publikováno v:
Clinical, Cosmetic and Investigational Dentistry, Vol Volume 15, Pp 71-77 (2023)
Roshni Ramesh,1 Arun Sadasivan2 1Department of Periodontics, Government Dental College, Thiruvananthapuram, Kerala, India; 2Department of Periodontics, Sree Mookambika Institute of Dental Sciences, Kulasekharam, Tamil Nadu, IndiaCorrespondence: Arun
Externí odkaz:
https://doaj.org/article/03ea697ef4db4f5abe9980991931f805
Autor:
Sadasivan A, Ramesh R
Publikováno v:
Clinical, Cosmetic and Investigational Dentistry, Vol Volume 14, Pp 199-206 (2022)
Arun Sadasivan,1 Roshni Ramesh2 1Department of Periodontics, SMIDS, Kulashekaram, Tamil Nadu, India; 2Department of Periodontics, Government Dental College, Trivandrum, Kerala, IndiaCorrespondence: Arun Sadasivan, Department of Periodontics, SMIDS, K
Externí odkaz:
https://doaj.org/article/4d8b0103f85244818afc896f40def3fd
Dynamic Nuclear Polarization (DNP) is transforming NMR and MRI by significantly enhancing sensitivity through the transfer of polarization from electron spins to nuclear spins via microwave irradiation. However, the use of monochromatic continuous-wa
Externí odkaz:
http://arxiv.org/abs/2410.19170
The next-generation wireless network, 6G and beyond, envisions to integrate communication and sensing to overcome interference, improve spectrum efficiency, and reduce hardware and power consumption. Massive Multiple-Input Multiple Output (mMIMO)-bas
Externí odkaz:
http://arxiv.org/abs/2409.15329
General matrix multiplication (GEMM) operations are crucial in various computational fields. As GPU architectures evolve, optimizing GEMM performance becomes increasingly important. This paper introduces Stream-K++, an enhancement to the promising St
Externí odkaz:
http://arxiv.org/abs/2408.11417
Deep Learning (DL) methods have been used for electrocardiogram (ECG) processing in a wide variety of tasks, demonstrating good performance compared with traditional signal processing algorithms. These methods offer an efficient framework with a limi
Externí odkaz:
http://arxiv.org/abs/2407.20258
Despite recent advancements in Self-Supervised Learning (SSL) for time series analysis, a noticeable gap persists between the anticipated achievements and actual performance. While these methods have demonstrated formidable generalization capabilitie
Externí odkaz:
http://arxiv.org/abs/2407.17073
Autor:
Chen, Zihao, Xiao, Zhili, Akl, Mahmoud, Leugring, Johannes, Olajide, Omowuyi, Malik, Adil, Dennler, Nik, Harper, Chad, Bose, Subhankar, Gonzalez, Hector A., Eshraghian, Jason, Pignari, Riccardo, Urgese, Gianvito, Andreou, Andreas G., Shankar, Sadasivan, Mayr, Christian, Cauwenberghs, Gert, Chakrabartty, Shantanu
We introduce NeuroSA, a neuromorphic architecture specifically designed to ensure asymptotic convergence to the ground state of an Ising problem using an annealing process that is governed by the physics of quantum mechanical tunneling using Fowler-N
Externí odkaz:
http://arxiv.org/abs/2406.05224
Identifying the origin of data is crucial for data provenance, with applications including data ownership protection, media forensics, and detecting AI-generated content. A standard approach involves embedding-based retrieval techniques that match qu
Externí odkaz:
http://arxiv.org/abs/2406.02836
Publikováno v:
Clinical, Cosmetic and Investigational Dentistry, Vol Volume 12, Pp 297-304 (2020)
Arun Sadasivan,1 Roshni Ramesh,2 Nikhil M Kurien3 1Department of Periodontics, Sree Mookambika Institute of Dental Sciences, Kulashekaram, Tamil Nadu, India; 2Department of Periodontics, Government Dental College, Thrissur, Kerala, India; 3Department
Externí odkaz:
https://doaj.org/article/c261adbbc3e4465ea8247203b3b674a4