Zobrazeno 1 - 10
of 156 587
pro vyhledávání: '"Chowdhury, A. A."'
Autor:
Mendez, Jeremy, Kim, Yae Eun, Chowdhury, Nafisah, Tziranis, Alexios, Le, Phuong, Tran, Angela, Moron, Rocio, Rogers, Julia, Chowdhury, Aohona, Wall, Elijah, Arroyo-Currás, Netzahualcóyotl, Lukeman, Philip
Electrochemical biosensors ("E-AB" or "E-DNA" type sensors) that utilize square-wave voltammetry originated in academic labs with a few standard experimental configurations for the electrochemical cell and data analysis. We report here on adaptations
Externí odkaz:
http://arxiv.org/abs/2410.24110
We report an anomalous temperature-induced transition in thermal conductivity in germanene monolayer around a critical temperature $T_c = 350 \, \text{K}$. Equilibrium molecular dynamics simulations reveal a transition from $\kappa \sim T^{-2}$ scali
Externí odkaz:
http://arxiv.org/abs/2411.14197
Deep Learning Approach for Enhancing Oral Squamous Cell Carcinoma with LIME Explainable AI Technique
The goal of the present study is to analyze an application of deep learning models in order to augment the diagnostic performance of oral squamous cell carcinoma (OSCC) with a longitudinal cohort study using the Histopathological Imaging Database for
Externí odkaz:
http://arxiv.org/abs/2411.14184
Autor:
Chowdhury, Prasanta, Sau, Jyotirmay, Numan, Mohamad, Sannigrahi, Jhuma, Gutmann, Matthias, Giri, Saurav, Kumar, Manoranjan, Majumdar, Subham
We conducted a comprehensive analysis of the magnetic and electronic transport properties of the layered chalcogenide Cr$_{1+\delta}$Te$_2$ in its single crystalline form. This material exhibits a ferromagnetic transition at a critical temperature of
Externí odkaz:
http://arxiv.org/abs/2411.14045
Self-Admitted Technical Debt (SATD) refers to the phenomenon where developers explicitly acknowledge technical debt through comments in the source code. While considerable research has focused on detecting and addressing SATD, its true impact on soft
Externí odkaz:
http://arxiv.org/abs/2411.13777
In this chapter, we aim to explore an in-depth exploration of the specialized hardware accelerators designed to enhance Artificial Intelligence (AI) applications, focusing on their necessity, development, and impact on the field of AI. It covers the
Externí odkaz:
http://arxiv.org/abs/2411.13717
Autor:
Chowdhury, Rup Kumar, Islam, Md Samiul, Barthelemy, Marie, Beyer, Nicolas, Engel, Lorry, Pelle, Jean-Sebastien, Rastei, Mircea, Barsella, Alberto, Fras, Francois
The discovery of in-plane anisotropic excitons in two-dimensional layered semiconductors enables state-of-the-art nanophotonic applications. A fundamental yet unknown parameter of these quasiparticles is the coherence time (T_2 ), which governs the q
Externí odkaz:
http://arxiv.org/abs/2411.13695
Autor:
Lachemat, Houssam Eddine-Othman, Abbas, Akli, Oukas, Nourredine, Kheir, Yassine El, Haboussi, Samia, Shammur, Absar Chowdhury
The paper introduces and publicly releases (Data download link available after acceptance) CAFE -- the first Code-switching dataset between Algerian dialect, French, and english languages. The CAFE speech data is unique for (a) its spontaneous speaki
Externí odkaz:
http://arxiv.org/abs/2411.13424
The rise of quantum computing threatens traditional cryptographic algorithms that secure Transportation Cyber-Physical Systems (TCPS). Shor's algorithm poses a significant threat to RSA and ECC, while Grover's algorithm reduces the security of symmet
Externí odkaz:
http://arxiv.org/abs/2411.13023
The attention mechanism within the transformer architecture enables the model to weigh and combine tokens based on their relevance to the query. While self-attention has enjoyed major success, it notably treats all queries $q$ in the same way by appl
Externí odkaz:
http://arxiv.org/abs/2411.12892