Zobrazeno 1 - 10
of 36 528
pro vyhledávání: '"Ghorbani A"'
Autor:
Heidari, Moein, Kolahi, Sina Ghorbani, Karimijafarbigloo, Sanaz, Azad, Bobby, Bozorgpour, Afshin, Hatami, Soheila, Azad, Reza, Diba, Ali, Bagci, Ulas, Merhof, Dorit, Hacihaliloglu, Ilker
Sequence modeling plays a vital role across various domains, with recurrent neural networks being historically the predominant method of performing these tasks. However, the emergence of transformers has altered this paradigm due to their superior pe
Externí odkaz:
http://arxiv.org/abs/2406.03430
Autor:
Rashid, Rezaur, Melton, Joshua, Ghorbani, Ouldouz, Krishnan, Siddharth, Reid, Shannon, Terejanu, Gabriel
In an era where digital platforms increasingly mediate public discourse, grasping the complexities and nuances in affective polarization--especially as influenced by key figures on social media--has never been more vital. This study delves into the i
Externí odkaz:
http://arxiv.org/abs/2405.15893
Evaluating anomaly detection algorithms in time series data is critical as inaccuracies can lead to flawed decision-making in various domains where real-time analytics and data-driven strategies are essential. Traditional performance metrics assume i
Externí odkaz:
http://arxiv.org/abs/2405.12096
Anomaly detection in time series data is crucial across various domains. The scarcity of labeled data for such tasks has increased the attention towards unsupervised learning methods. These approaches, often relying solely on reconstruction error, ty
Externí odkaz:
http://arxiv.org/abs/2405.07509
Autor:
Ghorbani, M., Li, Z., Qiu, Y., Marcus, P., Scully, J. R., Gharbi, O., Luo, H., Gupta, R. K., Zeng, Z. R., Fraser, H. L., Taheri, M. L., Birbilis, N.
Whilst multi-principal element alloys (MPEAs) remain a promising class of materials owing to several attractive mechanical properties, their corrosion performance is also unique. In this concise review, we present an emerging overview of some of the
Externí odkaz:
http://arxiv.org/abs/2405.05623
We introduce UPose3D, a novel approach for multi-view 3D human pose estimation, addressing challenges in accuracy and scalability. Our method advances existing pose estimation frameworks by improving robustness and flexibility without requiring direc
Externí odkaz:
http://arxiv.org/abs/2404.14634
We introduce SkelFormer, a novel markerless motion capture pipeline for multi-view human pose and shape estimation. Our method first uses off-the-shelf 2D keypoint estimators, pre-trained on large-scale in-the-wild data, to obtain 3D joint positions.
Externí odkaz:
http://arxiv.org/abs/2404.12625
The emergence of quantum computing presents a double-edged sword for cybersecurity. While its immense power holds promise for advancements in various fields, it also threatens to crack the foundation of current encryption methods. This analysis explo
Externí odkaz:
http://arxiv.org/abs/2404.10659
The rise of large-scale quantum computing poses a significant threat to traditional cryptographic security measures. Quantum attacks undermine current asymmetric cryptographic algorithms, rendering them ineffective. Even symmetric key cryptography is
Externí odkaz:
http://arxiv.org/abs/2404.08231
Probing the band splitting near the $\Gamma$ point in the van der Waals magnetic semiconductor CrSBr
Autor:
Lin, Kaiman, Li, Yi, Ghorbani-Asl, Mahdi, Sofer, Zdenek, Winnerl, Stephan, Erbe, Artur, Krasheninnikov, Arkady V., Helm, Manfred, Zhou, Shengqiang, Dan, Yaping, Prucnal, Slawomir
This study investigates the electronic band structure of Chromium Sulfur Bromide (CrSBr) through comprehensive photoluminescence (PL) characterization. We clearly identify low-temperature optical transitions between two closely adjacent conduction-ba
Externí odkaz:
http://arxiv.org/abs/2404.02927