Zobrazeno 1 - 10
of 128 318
pro vyhledávání: '"A. A. Chowdhury"'
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 2391-2413 (2023)
The local inertial two-dimensional (2D) flow model on LISFLOOD-FP, the so-called ACCeleration (ACC) uniform grid solver, has been widely used to support fast, computationally efficient fluvial/pluvial flood simulations. This paper describes new relea
Externí odkaz:
https://doaj.org/article/b254ac687b6e4c66a5b16c4f53d94b9b
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
To promote inclusion and ensuring effective communication for those who rely on sign language as their main form of communication, sign language recognition (SLR) is crucial. Sign language recognition (SLR) seamlessly incorporates with diverse techno
Externí odkaz:
http://arxiv.org/abs/2409.07426
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
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:
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
Autor:
Puspa, Sefatun-Noor, Enan, Abyad, Majumdar, Reek, Salek, M Sabbir, Comert, Gurcan, Chowdhury, Mashrur
Cyber-physical systems rely on sensors, communication, and computing, all powered by integrated circuits (ICs). ICs are largely susceptible to various hardware attacks with malicious intents. One of the stealthiest threats is the insertion of a hardw
Externí odkaz:
http://arxiv.org/abs/2411.12721
This paper extends a previous model for p-i-n GaAs quantum dot solar cells (QDSC) by revising the equation of photocarrier generation rate in quantum dots (QDs) inside the intrinsic region. In our model, we address a notable discrepancy that arose fr
Externí odkaz:
http://arxiv.org/abs/2411.11138