Zobrazeno 1 - 10
of 159 315
pro vyhledávání: '"A. Chowdhury"'
Publikováno v:
Journal of Operation and Automation in Power Engineering, Vol 11, Iss 1, Pp 39-49 (2023)
The power system in upcoming years will face issues of power frequency instability due to an increase in the share of Renewable Energy Sources (RES). The RESs are integrated into the power system through the power electronic converters. The operation
Externí odkaz:
https://doaj.org/article/3e5c421ab5f94552b53dd99f44739d7b
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
Autor:
Abid, Ishmam, Fuad, S. M. Zuhayer Anzum, Chowdhury, Mohammad Jabed Morshed, Chowdhury, Mehruba Sharmin, Ferdous, Md Sadek
The circular economy has the potential to increase resource efficiency and minimize waste through the 4R framework of reducing, reusing, recycling, and recovering. Blockchain technology is currently considered a valuable aid in the transition to a ci
Externí odkaz:
http://arxiv.org/abs/2408.11664
The eikonal correspondence between the quasi-normal modes (QNMs) of asymptotically flat static spherically symmetric black holes and the properties of unstable null circular geodesics is studied in the case of higher dimensional Lovelock black holes
Externí odkaz:
http://arxiv.org/abs/2410.08883
We design a goal-oriented communication strategy for remote inference, where an intelligent model (e.g., a pre-trained neural network) at the receiver side predicts the real-time value of a target signal based on data packets transmitted from a remot
Externí odkaz:
http://arxiv.org/abs/2410.08706
Autor:
Park, David K., Ren, Yihui, Kilic, Ozgur O., Korchuganova, Tatiana, Vatsavai, Sairam Sri, Boudreau, Joseph, Chowdhury, Tasnuva, Feng, Shengyu, Khan, Raees, Kim, Jaehyung, Klasky, Scott, Maeno, Tadashi, Nilsson, Paul, Outschoorn, Verena Ingrid Martinez, Podhorszki, Norbert, Suter, Frederic, Yang, Wei, Yang, Yiming, Yoo, Shinjae, Klimentov, Alexei, Hoisie, Adolfy
Large-scale international scientific collaborations, such as ATLAS, Belle II, CMS, and DUNE, generate vast volumes of data. These experiments necessitate substantial computational power for varied tasks, including structured data processing, Monte Ca
Externí odkaz:
http://arxiv.org/abs/2410.07940
Autor:
Chan, Jun Shern, Chowdhury, Neil, Jaffe, Oliver, Aung, James, Sherburn, Dane, Mays, Evan, Starace, Giulio, Liu, Kevin, Maksin, Leon, Patwardhan, Tejal, Weng, Lilian, Mądry, Aleksander
We introduce MLE-bench, a benchmark for measuring how well AI agents perform at machine learning engineering. To this end, we curate 75 ML engineering-related competitions from Kaggle, creating a diverse set of challenging tasks that test real-world
Externí odkaz:
http://arxiv.org/abs/2410.07095
Independent sets in graphs, i.e., subsets of vertices where no two are adjacent, have long been studied, for instance as a model of hard-core gas. The $d$-dimensional hypercube, $\{0,1\}^d$, with the nearest neighbor structure, has been a particularl
Externí odkaz:
http://arxiv.org/abs/2410.07080
Autor:
Tabassum, Farzana, Islam, Sabrina, Rizwan, Siana, Sobhan, Masrur, Ahmed, Tasnim, Ahmed, Sabbir, Chowdhury, Tareque Mohmud
Gene expression analysis is a critical method for cancer classification, enabling precise diagnoses through the identification of unique molecular signatures associated with various tumors. Identifying cancer-specific genes from gene expression value
Externí odkaz:
http://arxiv.org/abs/2410.07260
This paper investigates the behavior of mutual information, entanglement negativity, and multipartite correlations in holographic RG flows, particularly during phase transitions. Mutual information provides a UV-finite measure of total correlations b
Externí odkaz:
http://arxiv.org/abs/2410.04645