Zobrazeno 1 - 10
of 63 197
pro vyhledávání: '"A Idris"'
Autor:
Ying, Mingjun, Shakya, Dipankar, Rappaport, Theodore S., Ma, Peijie, Wang, Yanbo, Al-Wazani, Idris, Wu, Yanze, Poddar, Hitesh
This paper presents detailed radio propagation measurements for an indoor factory (InF) environment at 6.75 GHz and 16.95 GHz using a 1 GHz bandwidth channel sounder. Conducted at the NYU MakerSpace in the NYU Tandon School of Engineering campus in B
Externí odkaz:
http://arxiv.org/abs/2411.03565
Human motion analysis offers significant potential for healthcare monitoring and early detection of diseases. The advent of radar-based sensing systems has captured the spotlight for they are able to operate without physical contact and they can inte
Externí odkaz:
http://arxiv.org/abs/2411.02099
Autor:
Elola, Andoni, Ania, Imanol, Jaureguibeitia, Xabier, Wang, Henry, Nassal, Michelle, Idris, Ahamed, Aramendi, Elisabete
Objective: The accurate segmentation of capnograms during cardiopulmonary resuscitation (CPR) is essential for effective patient monitoring and advanced airway management. This study aims to develop a robust algorithm using a U-net architecture to se
Externí odkaz:
http://arxiv.org/abs/2410.20899
Autor:
Shakya, Dipankar, Ying, Mingjun, Rappaport, Theodore S., Ma, Peijie, Al-Wazani, Idris, Wu, Yanze, Wang, Yanbo, Calin, Doru, Poddar, Hitesh, Bazzi, Ahmad, Chafii, Marwa, Xing, Yunchou, Ghosh, Amitava
Global allocations in the upper mid-band spectrum (4--24 GHz) necessitate a comprehensive exploration of the propagation behavior to meet the promise of coverage and capacity. This paper presents an extensive Urban Microcell (UMi) outdoor propagation
Externí odkaz:
http://arxiv.org/abs/2410.17539
Monolingual data, being readily available in large quantities, has been used to upscale the scarcely available parallel data to train better models for automatic translation. Self-learning, where a model is made to learn from its output, is one appro
Externí odkaz:
http://arxiv.org/abs/2410.13783
Autor:
Blundell, Sophie, Radford, Thomas, Ajia, Idris A., Lawson, Daniel, Yan, Xingzhao, Banakar, Mehdi, Thomson, David J., Zeimpekis, Ioannis, Muskens, Otto L.
High-performance programmable silicon photonic circuits are considered to be a critical part of next generation architectures for optical processing, photonic quantum circuits and neural networks. Low-loss optical phase change materials (PCMs) offer
Externí odkaz:
http://arxiv.org/abs/2409.12582
Autor:
Kong, Chuizheng, Qiu, Alex, Wibowo, Idris, Ren, Marvin, Dhori, Aishik, Ling, Kai-Shu, Hu, Ai-Ping, Kousik, Shreyas
Effective pollination is a key challenge for indoor farming, since bees struggle to navigate without the sun. While a variety of robotic system solutions have been proposed, it remains difficult to autonomously check that a flower has been sufficient
Externí odkaz:
http://arxiv.org/abs/2409.12311
Autor:
Abdulmumin, Idris, Mkhwanazi, Sthembiso, Mbooi, Mahlatse S., Muhammad, Shamsuddeen Hassan, Ahmad, Ibrahim Said, Putini, Neo, Mathebula, Miehleketo, Shingange, Matimba, Gwadabe, Tajuddeen, Marivate, Vukosi
This paper describes the corrections made to the FLORES evaluation (dev and devtest) dataset for four African languages, namely Hausa, Northern Sotho (Sepedi), Xitsonga, and isiZulu. The original dataset, though groundbreaking in its coverage of low-
Externí odkaz:
http://arxiv.org/abs/2409.00626
Domain-specific question answering remains challenging for language models, given the deep technical knowledge required to answer questions correctly. This difficulty is amplified for smaller language models that cannot encode as much information in
Externí odkaz:
http://arxiv.org/abs/2408.10808
Autor:
Dorent, Reuben, Khajavi, Roya, Idris, Tagwa, Ziegler, Erik, Somarouthu, Bhanusupriya, Jacene, Heather, LaCasce, Ann, Deissler, Jonathan, Ehrhardt, Jan, Engelson, Sofija, Fischer, Stefan M., Gu, Yun, Handels, Heinz, Kasai, Satoshi, Kondo, Satoshi, Maier-Hein, Klaus, Schnabel, Julia A., Wang, Guotai, Wang, Litingyu, Wald, Tassilo, Yang, Guang-Zhong, Zhang, Hanxiao, Zhang, Minghui, Pieper, Steve, Harris, Gordon, Kikinis, Ron, Kapur, Tina
Accurate assessment of lymph node size in 3D CT scans is crucial for cancer staging, therapeutic management, and monitoring treatment response. Existing state-of-the-art segmentation frameworks in medical imaging often rely on fully annotated dataset
Externí odkaz:
http://arxiv.org/abs/2408.10069