Zobrazeno 1 - 10
of 42 310
pro vyhledávání: '"A. A. Bal"'
Autor:
Krishan, Bal, Rastogi, Preetika, Rao, D. Chaitanya Kumar, Kaisare, Niket S., Basavaraj, Madivala G., Basu, Saptarshi
Emulsion fuels have the potential to reduce both particulate matter and NOx emissions and can potentially improve the efficiency of combustion engines. However, their limited stability remains a critical barrier to practical use as an alternative fue
Externí odkaz:
http://arxiv.org/abs/2408.15780
Autor:
De Dominicis, Francesco, Roy, Tanay, Mariani, Ambra, Bal, Mustafa, Casali, Nicola, Colantoni, Ivan, Crisa, Francesco, Cruciani, Angelo, Ferroni, Fernando, Helis, Dounia L, Pagnanini, Lorenzo, Pettinacci, Valerio, Pilipenko, Roman, Pirro, Stefano, Puiu, Andrei, Romanenko, Alexander, Vignati, Marco, Zanten, David v, Zhu, Shaojiang, Grassellino, Anna, Cardani, Laura
Superconducting qubits can be sensitive to abrupt energy deposits caused by cosmic rays and ambient radioactivity. Previous studies have focused on understanding possible correlated effects over time and distance due to cosmic rays. In this study, fo
Externí odkaz:
http://arxiv.org/abs/2405.18355
The observation of strongly coupled lattice and spin dynamics in altermagnet CoF$_2$ is reported. On the background of the expected spin-phonon interaction leading to renormalization of all phonons at the Neel temperature an additional strong couplin
Externí odkaz:
http://arxiv.org/abs/2405.07304
Autor:
Tahir, Eren, Bal, Mert
While image forensics is concerned with whether an image has been tampered with, image anti-forensics attempts to prevent image forensics methods from detecting tampered images. The competition between these two fields started long before the advance
Externí odkaz:
http://arxiv.org/abs/2405.02751
Equilibrium Propagation (EP) is a biologically plausible local learning algorithm initially developed for convergent recurrent neural networks (RNNs), where weight updates rely solely on the connecting neuron states across two phases. The gradient ca
Externí odkaz:
http://arxiv.org/abs/2405.02546
Autor:
Tahir, Eren, Bal, Mert
Image forgery is a topic that has been studied for many years. Before the breakthrough of deep learning, forged images were detected using handcrafted features that did not require training. These traditional methods failed to perform satisfactorily
Externí odkaz:
http://arxiv.org/abs/2404.02897
In this manuscript, we develop a novel single-strain dengue model with fractional-order transmission and recovery from a stochastic process. A fractional derivative that appeared in the disease transmission and recovery processes is known as a temper
Externí odkaz:
http://arxiv.org/abs/2402.11974
A Comprehensive Study of the Current State-of-the-Art in Nepali Automatic Speech Recognition Systems
In this paper, we examine the research conducted in the field of Nepali Automatic Speech Recognition (ASR). The primary objective of this survey is to conduct a comprehensive review of the works on Nepali Automatic Speech Recognition Systems complete
Externí odkaz:
http://arxiv.org/abs/2402.03050
Spiking Neural Networks (SNNs), providing more realistic neuronal dynamics, have shown to achieve performance comparable to Artificial Neural Networks (ANNs) in several machine learning tasks. Information is processed as spikes within SNNs in an even
Externí odkaz:
http://arxiv.org/abs/2402.01782
Preliminary attempts at incorporating the critical role of astrocytes - cells that constitute more than 50% of human brain cells - in brain-inspired neuromorphic computing remain in infancy. This paper seeks to delve deeper into various key aspects o
Externí odkaz:
http://arxiv.org/abs/2312.10925