Zobrazeno 1 - 10
of 66 393
pro vyhledávání: '"Saeid, A."'
Autor:
Shimizu, Cogan, Stephe, Shirly, Barua, Adrita, Cai, Ling, Christou, Antrea, Currier, Kitty, Dalal, Abhilekha, Fisher, Colby K., Hitzler, Pascal, Janowicz, Krzysztof, Li, Wenwen, Liu, Zilong, Mahdavinejad, Mohammad Saeid, Mai, Gengchen, Rehberger, Dean, Schildhauer, Mark, Shi, Meilin, Norouzi, Sanaz Saki, Tian, Yuanyuan, Wang, Sizhe, Wang, Zhangyu, Zalewski, Joseph, Zhou, Lu, Zhu, Rui
KnowWhereGraph is one of the largest fully publicly available geospatial knowledge graphs. It includes data from 30 layers on natural hazards (e.g., hurricanes, wildfires), climate variables (e.g., air temperature, precipitation), soil properties, cr
Externí odkaz:
http://arxiv.org/abs/2410.13948
Autor:
D'Inverno, Giuseppe Alessio, Moradizadeh, Saeid, Salavatidezfouli, Sajad, Africa, Pasquale Claudio, Rozza, Gianluigi
The complexity of the cardiovascular system needs to be accurately reproduced in order to promptly acknowledge health conditions; to this aim, advanced multifidelity and multiphysics numerical models are crucial. On one side, Full Order Models (FOMs)
Externí odkaz:
http://arxiv.org/abs/2410.03802
Autor:
Tashakori, Arvin, Jiang, Zenan, Servati, Amir, Soltanian, Saeid, Narayana, Harishkumar, Le, Katherine, Nakayama, Caroline, Yang, Chieh-ling, Wang, Z. Jane, Eng, Janice J., Servati, Peyman
Publikováno v:
Nature Machine Intelligence 6 (2024) 106-118
Accurate real-time tracking of dexterous hand movements and interactions has numerous applications in human-computer interaction, metaverse, robotics, and tele-health. Capturing realistic hand movements is challenging because of the large number of a
Externí odkaz:
http://arxiv.org/abs/2410.02221
As the laws have become more complicated and enormous, the role of software systems in navigating and understanding these intricacies has become more critical. Given their socio-economic and legally critical implications, ensuring software accountabi
Externí odkaz:
http://arxiv.org/abs/2409.16140
Autor:
Saeid, Yasser, Neubürger, Felix, Krügl, Stefanie, Hüster, Helena, Kopinski, Thomas, Lanwehr, Ralf
This work investigates the identification of Charismatic Leadership Tactics (CLTs) in natural language using a fine-tuned Bidirectional Encoder Representations from Transformers (BERT) model. Based on an own extensive corpus of CLTs generated and cur
Externí odkaz:
http://arxiv.org/abs/2409.18984
High luminosity colliders and fixed target facilities using proton beams are sensitive to new weakly coupled degrees of freedom across a broad mass range. Among the various production modes, bremsstrahlung is particularly important for dark sector de
Externí odkaz:
http://arxiv.org/abs/2409.09123
Autor:
Niazmardi, Saeid
Kernel-based classification methods, particularly the support vector machine (SVM), are among the most common algorithms for hyperspectral data classification. The Radial Basis function (RBF) kernel has earned great popularity in hyperspectral data c
Externí odkaz:
http://arxiv.org/abs/2409.05013
Existing benchmarks for large language models (LLMs) increasingly struggle to differentiate between top-performing models, underscoring the need for more challenging evaluation frameworks. We introduce MMLU-Pro+, an enhanced benchmark building upon M
Externí odkaz:
http://arxiv.org/abs/2409.02257
Large foundation models have revolutionized the field, yet challenges remain in optimizing multi-modal models for specialized visual tasks. We propose a novel, generalizable methodology to identify preferred image distributions for black-box Vision-L
Externí odkaz:
http://arxiv.org/abs/2409.02253
Minimum-fuel low-thrust trajectories typically consist of a finite, yet unknown number of switches in the thrust magnitude profile. This optimality-driven characteristic of minimum-fuel trajectories poses a challenge to the numerical methods that are
Externí odkaz:
http://arxiv.org/abs/2409.01490