Zobrazeno 1 - 10
of 74 834
pro vyhledávání: '"Zahra, P. A. A."'
Autor:
Riemer, Matthew, Ashktorab, Zahra, Bouneffouf, Djallel, Das, Payel, Liu, Miao, Weisz, Justin D., Campbell, Murray
As the research community aims to build better AI assistants that are more dynamic and personalized to the diversity of humans that they interact with, there is increased interest in evaluating the theory of mind capabilities of large language models
Externí odkaz:
http://arxiv.org/abs/2412.19726
This paper challenges the prevailing view that convolutional neural network (CNN) filters become increasingly specialized in deeper layers. Motivated by recent observations of clusterable repeating patterns in depthwise separable CNNs (DS-CNNs) train
Externí odkaz:
http://arxiv.org/abs/2412.16751
Autor:
Santonen, Mikael, Lahti, Antti, Rad, Zahra Jahanshah, Miettinen, Mikko, Ebrahimzadeh, Masoud, Lehtiö, Juha-Pekka, Snellman, Enni, Laukkanen, Pekka, Punkkinen, Marko, Kokko, Kalevi, Parkkinen, Katja, Eklund, Markus
Current transport in polysilicon is a complicated process with many factors to consider. The inhomogeneous nature of polysilicon with its differently shaped and sized grains is one such consideration. We have developed a method that enhances existing
Externí odkaz:
http://arxiv.org/abs/2412.15784
Autor:
Klidbari, Mohammadreza Khodaparast, Souri, Naser, Habibolahi, Zahra Sadat, Hedeshi, Hamid Montazeri
Electric vehicles are rapidly gaining popularity as a sustainable alternative to conventional gasoline. In urban areas, chargers with different ratings can accommodate the diverse needs of electric vehicles. However, the available multiport topologie
Externí odkaz:
http://arxiv.org/abs/2412.15337
Publikováno v:
Springer, Lecture Notes in Computer Science (LNCS), Volume 14731, 2024
License plate detection (LPD) is essential for traffic management, vehicle tracking, and law enforcement but faces challenges like variable lighting and diverse font types, impacting accuracy. Traditionally reliant on image processing and machine lea
Externí odkaz:
http://arxiv.org/abs/2412.12572
Autor:
Idahl, Maximilian, Ahmadi, Zahra
We present OpenReviewer, an open-source system for generating high-quality peer reviews of machine learning and AI conference papers. At its core is Llama-OpenReviewer-8B, an 8B parameter language model specifically fine-tuned on 79,000 expert review
Externí odkaz:
http://arxiv.org/abs/2412.11948
Reconstructing meshes from point clouds is an important task in fields such as robotics, autonomous systems, and medical imaging. This survey examines state-of-the-art learning-based approaches to mesh reconstruction, categorizing them into five para
Externí odkaz:
http://arxiv.org/abs/2412.10977
Autor:
Sulaiman, Sharif A., Shomali, Zahra
As the transistors and consequently the chips are getting smaller, the accurate investigation of heat transport at micro/nanoscale, becomes an important issue of concern. This is due to an increase in the energy consumption and the leakage currents a
Externí odkaz:
http://arxiv.org/abs/2412.10962
Autor:
Eshraghi, Pegah, Talami, Riccardo, Dehnavi, Arman Nikkhah, Mirdamadi, Maedeh, Zomorodian, Zahra-Sadat
In rapidly urbanizing regions, designing climate-responsive urban forms is crucial for sustainable development, especially in dry arid-climates where urban morphology has a significant impact on energy consumption and environmental performance. This
Externí odkaz:
http://arxiv.org/abs/2412.12183
PINN models have demonstrated impressive capabilities in addressing fluid PDE problems, and their potential in solid mechanics is beginning to emerge. This study identifies two key challenges when using PINN to solve general solid mechanics problems.
Externí odkaz:
http://arxiv.org/abs/2412.09453