Zobrazeno 1 - 10
of 4 841
pro vyhledávání: '"P. Priyadarshini"'
Autor:
P. Priyadarshini, Subhashree Das, D. Alagarasan, R. Ganesan, S. Varadharajaperumal, Ramakanta Naik
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/b703d5eb5ad940998d90d1d25e6ea5e3
Autor:
P. Priyadarshini, Subhashree Das, D. Alagarasan, R. Ganesan, S. Varadharajaperumal, Ramakanta Naik
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract The present work demonstrates the impact of thermal annealing on the structural, linear, and non-linear optical characteristics of thermally evaporated BixIn35-xSe65 (x = 0, 5, 10, 15 at%) thin films. The prominent crystalline phases have be
Externí odkaz:
https://doaj.org/article/b38b3d203f954035be110e9fd3f65fd1
Autor:
Das, Santosh K., Palni, Prabhakar, Sarkar, Amal, Agotiya, Vineet Kumar, Bandyopadhyay, Aritra, Bhaduri, Partha Pratim, Datta, Saumen, Desai, Vaishnavi, Dey, Debarshi, Greco, Vincenzo, Jamal, Mohammad Yousuf, Kaur, Gurleen, Kumari, Manisha, Maity, Monideepa, Pal, Subrata, Patra, Binoy Krishna, Pooja, Prakash, Jai, Priyadarshini, Manaswini, R, Vyshakh B, Ruggieri, Marco, Sahoo, Nihar Ranjan, Sahoo, Raghunath, Shahi, Om, Sharma, Devanshu, Sharma, Rishabh, Sharma, Rishi
The hot and dense QCD matter, known as the Quark-Gluon Plasma (QGP), is explored through heavy-ion collision experiments at the LHC and RHIC. Jets and heavy flavors, produced from the initial hard scattering, are used as hard probes to study the prop
Externí odkaz:
http://arxiv.org/abs/2412.14026
Autor:
V, Pandiyaraju, Malarvannan, Santhosh, Venkatraman, Shravan, A, Abeshek, B, Priyadarshini, A, Kannan
Diabetic retinopathy is a leading cause of blindness around the world and demands precise AI-based diagnostic tools. Traditional loss functions in multi-class classification, such as Categorical Cross-Entropy (CCE), are very common but break down wit
Externí odkaz:
http://arxiv.org/abs/2411.10843
Autor:
Li, Yuhang, Panda, Priyadarshini
Large language models (LLMs) have revolutionized natural language processing, albeit at the cost of immense memory and computation requirements. Post-training quantization (PTQ) is becoming the de facto method to reduce the memory footprint and impro
Externí odkaz:
http://arxiv.org/abs/2410.19103
Deep neural networks trained on biased data often inadvertently learn unintended inference rules, particularly when labels are strongly correlated with biased features. Existing bias mitigation methods typically involve either a) predefining bias typ
Externí odkaz:
http://arxiv.org/abs/2410.15094
Spike-based Transformer presents a compelling and energy-efficient alternative to traditional Artificial Neural Network (ANN)-based Transformers, achieving impressive results through sparse binary computations. However, existing spike-based transform
Externí odkaz:
http://arxiv.org/abs/2409.19764
We propose a minimal power white box adversarial attack for Deep Learning based Automatic Modulation Classification (AMC). The proposed attack uses the Golden Ratio Search (GRS) method to find powerful attacks with minimal power. We evaluate the effi
Externí odkaz:
http://arxiv.org/abs/2409.11454
Autor:
Bagchi, Arjun, Chakraborty, Pronoy, Chakrabortty, Shankhadeep, Fredenhagen, Stefan, Grumiller, Daniel, Pandit, Priyadarshini
We consider Carrollian conformal field theories in two dimensions and construct the boundary Carrollian conformal algebra (BCCA), opening up innumerable possibilities for further studies, given the growing relevance of Carrollian symmetries. We prove
Externí odkaz:
http://arxiv.org/abs/2409.01094
Spiking Neural Networks (SNNs) have emerged as a compelling, energy-efficient alternative to traditional Artificial Neural Networks (ANNs) for static image tasks such as image classification and segmentation. However, in the more complex video classi
Externí odkaz:
http://arxiv.org/abs/2409.01564