Zobrazeno 1 - 10
of 37 937
pro vyhledávání: '"Yousefi, A."'
With the advancement of technologies like Industry 4.0, communication networks must meet stringent requirements of applications demanding deterministic and bounded latencies. The problem is further compounded by the need to periodically synchronize n
Externí odkaz:
http://arxiv.org/abs/2407.08894
Autor:
Le, Chenyang, Qian, Yao, Wang, Dongmei, Zhou, Long, Liu, Shujie, Wang, Xiaofei, Yousefi, Midia, Qian, Yanmin, Li, Jinyu, Zhao, Sheng, Zeng, Michael
There is a rising interest and trend in research towards directly translating speech from one language to another, known as end-to-end speech-to-speech translation. However, most end-to-end models struggle to outperform cascade models, i.e., a pipeli
Externí odkaz:
http://arxiv.org/abs/2405.17809
Autor:
Razzaghi, Davood, MotazediFard, Ali, Akbari, Marzieh, Madani, Seyed Ahmad, Yousefi, Masoud, Allahi, Ali, Mehrabanpajooh, Ghazal, Shokrolahi, Mohsen, Asgari, Hamid, Riazi, Zafar
In this paper, we experimentally report the saturated absorption spectroscopy (SAS) and frequency locking (FL) of a narrow-band DBR laser with 0.5MHz linewidth on the LD2-transition of Rb atoms.
Comment: submitted to International Conference on
Comment: submitted to International Conference on
Externí odkaz:
http://arxiv.org/abs/2405.14911
Autor:
Ziaei, Navid, Stim, Joshua J., Goodman-Keiser, Melanie D., Sponheim, Scott, Widge, Alik S., Krikorian, Sasoun, Yousefi, Ali
Non-parametric models, such as Gaussian Processes (GP), show promising results in the analysis of complex data. Their applications in neuroscience data have recently gained traction. In this research, we introduce a novel neural decoder model built u
Externí odkaz:
http://arxiv.org/abs/2405.05424
Autor:
Xu, Chunlei, Pregesbauer, Michael, Chilukuri, Naga Sravani, Windhager, Daniel, Yousefi, Mahsa, Julian, Pedro, Ratschbacher, Lothar
Ground Penetrating Radar (GPR) has been widely studied as a tool for extracting soil parameters relevant to agriculture and horticulture. When combined with Machine-Learning-based (ML) methods, high-resolution Stepped Frequency Countinuous Wave Radar
Externí odkaz:
http://arxiv.org/abs/2404.15961
Autor:
Ahmed, Yussuf, Ezealor, Micheal, Mahmoud, Haitham, Azad, MohamedAjmal, BenFarah, Mohamed, Yousefi, Mehdi
With the advent of smart grid (SG) systems, electricity networks have been able to ensure greater efficiency and utility by interconnecting their grids through cloud-based technology. As SGs become increasingly complex, a wide range of security chall
Externí odkaz:
http://arxiv.org/abs/2404.09052
Autor:
Yousefi, Milad, Maleki, Shadi Farabi, Jafarizadeh, Ali, Youshanlui, Mahya Ahmadpour, Jafari, Aida, Pedrammehr, Siamak, Alizadehsani, Roohallah, Tadeusiewicz, Ryszard, Plawiak, Pawel
Thyroid cancer is an increasing global health concern that requires advanced diagnostic methods. The application of AI and radiomics to thyroid cancer diagnosis is examined in this review. A review of multiple databases was conducted in compliance wi
Externí odkaz:
http://arxiv.org/abs/2404.07239
Autor:
Zhang, Leying, Qian, Yao, Zhou, Long, Liu, Shujie, Wang, Dongmei, Wang, Xiaofei, Yousefi, Midia, Qian, Yanmin, Li, Jinyu, He, Lei, Zhao, Sheng, Zeng, Michael
Recent advancements in zero-shot text-to-speech (TTS) modeling have led to significant strides in generating high-fidelity and diverse speech. However, dialogue generation, along with achieving human-like naturalness in speech, continues to be a chal
Externí odkaz:
http://arxiv.org/abs/2404.06690
Autor:
Yousefi, Bardia, Khansari, Mélina, Trask, Ryan, Tallon, Patrick, Carino, Carina, Afrasiyabi, Arman, Kundra, Vikas, Ma, Lan, Ren, Lei, Farahani, Keyvan, Hershman, Michelle
The isometric mapping method employs the shortest path algorithm to estimate the Euclidean distance between points on High dimensional (HD) manifolds. This may not be sufficient for weakly uniformed HD data as it could lead to overestimating distance
Externí odkaz:
http://arxiv.org/abs/2403.02531
Autor:
Soubki, Adil, Murzaku, John, Jordehi, Arash Yousefi, Zeng, Peter, Markowska, Magdalena, Mirroshandel, Seyed Abolghasem, Rambow, Owen
Publikováno v:
ACL 2024 Findings
Evaluating the theory of mind (ToM) capabilities of language models (LMs) has recently received a great deal of attention. However, many existing benchmarks rely on synthetic data, which risks misaligning the resulting experiments with human behavior
Externí odkaz:
http://arxiv.org/abs/2403.02451