Zobrazeno 1 - 10
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pro vyhledávání: '"Hashemi A"'
Understanding the interplay of non-Hermiticity and topology is crucial given the intrinsic openness of most natural and engineered systems and it has important ramifications in topological lasers and sensors. Intense efforts have been devoted to unve
Externí odkaz:
http://arxiv.org/abs/2411.08729
Autor:
Hashemi, Seyed Danial, Mittal, Sunil
Publikováno v:
Nature Communications, 2024
Generating coherent optical frequency combs in micro-ring resonators with Kerr nonlinearity has remarkably advanced the fundamental understanding and applications of temporal dissipative solitons. However, the spectrum of such soliton combs is restri
Externí odkaz:
http://arxiv.org/abs/2411.07236
Autor:
Bossion, Duncan, Sarangi, Arkaprabha, Aalto, Susanne, Esmerian, Clarke, Hashemi, Rasoul, Knudsen, Kirsten Kraiberg, Vlemmings, Wouter, Nyman, Gunnar
Context. Cosmic dust is ubiquitous in astrophysical environments, where it significantly influences the chemistry and the spectra. Dust grains are likely to grow through the accretion of atoms and molecules from the gas-phase onto them. Despite their
Externí odkaz:
http://arxiv.org/abs/2411.06125
Autor:
Ning, Minghao, Cui, Yaodong, Yang, Yufeng, Huang, Shucheng, Liu, Zhenan, Alghooneh, Ahmad Reza, Hashemi, Ehsan, Khajepour, Amir
This paper presents a novel real-time, delay-aware cooperative perception system designed for intelligent mobility platforms operating in dynamic indoor environments. The system contains a network of multi-modal sensor nodes and a central node that c
Externí odkaz:
http://arxiv.org/abs/2411.02624
Autor:
Nguyen, Hoang, Mahajan, Khyati, Yadav, Vikas, Yu, Philip S., Hashemi, Masoud, Maheshwary, Rishabh
Multilingual LLMs have achieved remarkable benchmark performance, but we find they continue to underperform on non-Latin script languages across contemporary LLM families. This discrepancy arises from the fact that LLMs are pretrained with orthograph
Externí odkaz:
http://arxiv.org/abs/2411.02398
Reconstructing brain sources is a fundamental challenge in neuroscience, crucial for understanding brain function and dysfunction. Electroencephalography (EEG) signals have a high temporal resolution. However, identifying the correct spatial location
Externí odkaz:
http://arxiv.org/abs/2411.00143
This paper introduces a framework for an indoor autonomous mobility system that can perform patient transfers and materials handling. Unlike traditional systems that rely on onboard perception sensors, the proposed approach leverages a global percept
Externí odkaz:
http://arxiv.org/abs/2410.22527
Autor:
Ning, Minghao, Alghooneh, Ahmad Reza, Sun, Chen, Zhang, Ruihe, Panahandeh, Pouya, Tuer, Steven, Hashemi, Ehsan, Khajepour, Amir
In this paper, we propose an accurate and robust perception module for Autonomous Vehicles (AVs) for drivable space extraction. Perception is crucial in autonomous driving, where many deep learning-based methods, while accurate on benchmark datasets,
Externí odkaz:
http://arxiv.org/abs/2410.22314
Autor:
Upadhyay, Antesh, Hashemi, Abolfazl
Federated learning is a prominent distributed learning paradigm that incorporates collaboration among diverse clients, promotes data locality, and thus ensures privacy. These clients have their own technological, cultural, and other biases in the pro
Externí odkaz:
http://arxiv.org/abs/2410.19207
Autor:
Klaver, Yvan, Morsche, Randy te, Botter, Roel A., Hashemi, Batoul, Frare, Bruno L. Segat, Mishra, Akhileshwar, Ye, Kaixuan, Mbonde, Hamidu, Ahmadi, Pooya Torab, Taleghani, Niloofar Majidian, Jonker, Evan, Braamhaar, Redlef B. G., Selvaganapathy, Ponnambalam Ravi, Mascher, Peter, van der Slot, Peter J. M., Bradley, Jonathan D. B., Marpaung, David
Seamlessly integrating stimulated Brillouin scattering (SBS) in a low-loss and mature photonic integration platform remains a complicated task. Virtually all current approaches fall short in simultaneously achieving strong SBS, low losses, and techno
Externí odkaz:
http://arxiv.org/abs/2410.16263