Zobrazeno 1 - 10
of 169 606
pro vyhledávání: '"Sayed, AS"'
Autor:
Tanveer, Md Sayed, Patel, Dhruvik, Schweiger, Hunter E., Abu-Bonsrah, Kwaku Dad, Watmuff, Brad, Azadi, Azin, Pryshchep, Sergey, Narayanan, Karthikeyan, Puleo, Christopher, Natarajan, Kannathal, Mostajo-Radji, Mohammed A., Kagan, Brett J., Wang, Ge
With the recent advancements in artificial intelligence, researchers and industries are deploying gigantic models trained on billions of samples. While training these models consumes a huge amount of energy, human brains produce similar outputs (alon
Externí odkaz:
http://arxiv.org/abs/2412.14112
The intersection of technology and mental health has spurred innovative approaches to assessing emotional well-being, particularly through computational techniques applied to audio data analysis. This study explores the application of Convolutional N
Externí odkaz:
http://arxiv.org/abs/2412.10469
Traffic signal control plays a crucial role in urban mobility. However, existing methods often struggle to generalize beyond their training environments to unseen scenarios with varying traffic dynamics. We present TransferLight, a novel framework de
Externí odkaz:
http://arxiv.org/abs/2412.09719
Autor:
Sayed, Khadiga H. A., Cruyff, Maarten J. L. F., Petróczi, Andrea, van der Heijden, Peter G. M.
The Extended Crosswise Model is a popular randomized response design that employs a sensitive and a randomized innocuous statement, and asks respondents if one of these statements is true, or that none or both are true. The model has a degree of free
Externí odkaz:
http://arxiv.org/abs/2412.09506
Baryon Acoustic Oscillation (BAO) provides a powerful tool to measure cosmic expansion and consequently the nature of the Dark Energy (DE). Recent precise BAO measurements by Dark Energy Spectroscopic Instrument data release 1 (DESI DR1), when combin
Externí odkaz:
http://arxiv.org/abs/2411.19362
Autor:
Suarez, Estela, Bockelmann, Hendryk, Eicker, Norbert, Eitzinger, Jan, Sayed, Salem El, Fieseler, Thomas, Frank, Martin, Frech, Peter, Giesselmann, Pay, Hackenberg, Daniel, Hager, Georg, Herten, Andreas, Ilsche, Thomas, Koller, Bastian, Laure, Erwin, Manzano, Cristina, Oeste, Sebastian, Ott, Michael, Reuter, Klaus, Schneider, Ralf, Thust, Kay, Vieth, Benedikt von St.
High-Performance Computing (HPC) systems are among the most energy-intensive scientific facilities, with electric power consumption reaching and often exceeding 20 megawatts per installation. Unlike other major scientific infrastructures such as part
Externí odkaz:
http://arxiv.org/abs/2411.16204
Autor:
Singh, Birender, McNamara, Grant, Kim, Kyung-Mo, Siddique, Saif, Funni, Stephen D., Zhang, Weizhe, Luo, Xiangpeng, Sakrikar, Piyush, Kenney, Eric M., Singha, Ratnadwip, Alekseev, Sergey, Ghorashi, Sayed Ali Akbar, Hicken, Thomas J., Baines, Christopher, Luetkens, Hubertus, Wang, Yiping, Plisson, Vincent M., Geiwitz, Michael, Occhialini, Connor A., Comin, Riccardo, Graf, Michael J., Zhao, Liuyan, Cano, Jennifer, Fernandes, Rafael M., Cha, Judy J., Schoop, Leslie M., Burch, Kenneth S.
The recent discovery of an axial amplitude (Higgs) mode in the long-studied charge density wave (CDW) systems GdTe$_3$ and LaTe$_3$ suggests a heretofore unidentified hidden order. A theoretical study proposed that the axial Higgs results from a hidd
Externí odkaz:
http://arxiv.org/abs/2411.08322
Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis
Despite recent progress in reducing road fatalities, the persistently high rate of traffic-related deaths highlights the necessity for improved safety interventions. Leveraging large-scale graph-based nationwide road network data across 49 states in
Externí odkaz:
http://arxiv.org/abs/2411.02542
We develop a robust translation model for four low-resource Indic languages: Khasi, Mizo, Manipuri, and Assamese. Our approach includes a comprehensive pipeline from data collection and preprocessing to training and evaluation, leveraging data from W
Externí odkaz:
http://arxiv.org/abs/2411.00727
Autor:
Farasat, Talaya, Ahmadzai, Atiqullah, George, Aleena Elsa, Qaderi, Sayed Alisina, Dordevic, Dusan, Posegga, Joachim
Software vulnerabilities are a fundamental cause of cyber attacks. Effectively identifying these vulnerabilities is essential for robust cybersecurity, yet it remains a complex and challenging task. In this paper, we present SafePyScript, a machine l
Externí odkaz:
http://arxiv.org/abs/2411.00636