Zobrazeno 1 - 10
of 20 939
pro vyhledávání: '"Bukhari A."'
A multitude of individuals across the globe grapple with motor disabilities. Neural prosthetics utilizing Brain-Computer Interface (BCI) technology exhibit promise for improving motor rehabilitation outcomes. The intricate nature of EEG data poses a
Externí odkaz:
http://arxiv.org/abs/2412.07175
Autor:
Bukhari, Syed Ali Asadullah, Flinkow, Thomas, Inkarbekov, Medet, Pearlmutter, Barak A., Monahan, Rosemary
Publikováno v:
EPTCS 411, 2024, pp. 178-190
The increased reliance of self-driving vehicles on neural networks opens up the challenge of their verification. In this paper we present an experience report, describing a case study which we undertook to explore the design and training of a neural
Externí odkaz:
http://arxiv.org/abs/2411.14163
Autor:
Biswas, Debaditya, Gonzalez, Fernando Araiza, Henry, William, Karki, Abishek, Morean, Casey, Nadeeshani, Sooriyaarachchilage, Sun, Abel, Abrams, Daniel, Ahmed, Zafar, Aljawrneh, Bashar, Alsalmi, Sheren, Ambrose, George, Armstrong, Whitney, Asaturyan, Arshak, Assumin-Gyimah, Kofi, Gayoso, Carlos Ayerbe, Bandari, Anashe, Basnet, Samip, Berdnikov, Vladimir, Bhatt, Hem, Bhetuwal, Deepak, Boeglin, Werner, Bosted, Peter, Brash, Edward, Bukhari, Masroor, Chen, Haoyu, Chen, Jian-Ping, Chen, Mingyu, Christy, Michael Eric, Dusa, Silviu Covrig, Craycraft, Kayla, Danagoulian, Samuel, Day, Donal, Diefenthaler, Markus, Dlamini, Mongi, Dunne, James, Duran, Burcu, Dutta, Dipangkar, Ent, Rolf, Evans, Rory, Fenker, Howard, Fomin, Nadia, Fuchey, Eric, Gaskell, David, Gautam, Thir Narayan, Hansen, Jens-Ole, Hauenstein, Florian, Hernandez, A., Horn, Tanja, Huber, Garth, Jones, Mark, Joosten, Sylvester, Kabir, Md Latiful, Keppel, Cynthia, Khanal, Achyut, King, Paul, Kinney, Edward, Kohl, Michael, Lashley-Colthirst, Nathaniel, Li, Shujie, Li, Wenliang, Liyanage, Anusha Habarakada, Mack, David, Malace, Simona, Markowitz, Pete, Matter, John, Meekins, David, Michaels, Robert, Mkrtchyan, Arthur, Mkrtchyan, Hamlet, Moore, Zae, Nazeer, S. J., Nanda, Shirsendu, Niculescu, Gabriel, Niculescu, Maria, Nguyen, Huong, Nuruzzaman, Nuruzzaman, Pandey, Bishnu, Park, Sanghwa, Pooser, Eric, Puckett, Andrew, Rehfuss, Melanie, Reinhold, Joerg, Sawatzky, Bradley, Smith, G., Szumila-Vance, Holly, Tadepalli, Arun, Tadevosyan, Vardan, Trotta, Richard, Wood, Stephen, Yero, Carlos, Zhang, Jinlong
Nucleon structure functions, as measured in lepton-nucleon scattering, have historically provided a critical observable in the study of partonic dynamics within the nucleon. However, at very large parton momenta it is both experimentally and theoreti
Externí odkaz:
http://arxiv.org/abs/2409.15236
Autor:
Bukhari, Masroor H. S.
Based upon a previous axion mass proposal and detection scheme, as well as considering the axion mass ranges suggested by persuasive simulations in recent years, we present a revised axion/ALP search strategy and our calculations, concentrating on a
Externí odkaz:
http://arxiv.org/abs/2408.09553
Biomedical image segmentation plays a vital role in diagnosis of diseases across various organs. Deep learning-based object detection methods are commonly used for such segmentation. There exists an extensive research in this topic. However, there is
Externí odkaz:
http://arxiv.org/abs/2408.03393
Autor:
Deshmukh, Soham, Han, Shuo, Bukhari, Hazim, Elizalde, Benjamin, Gamper, Hannes, Singh, Rita, Raj, Bhiksha
Recent literature uses language to build foundation models for audio. These Audio-Language Models (ALMs) are trained on a vast number of audio-text pairs and show remarkable performance in tasks including Text-to-Audio Retrieval, Captioning, and Ques
Externí odkaz:
http://arxiv.org/abs/2407.18062
Speech Emotion Recognition (SER) has been traditionally formulated as a classification task. However, emotions are generally a spectrum whose distribution varies from situation to situation leading to poor Out-of-Domain (OOD) performance. We take ins
Externí odkaz:
http://arxiv.org/abs/2407.15300
Continual learning (CL) addresses the problem of catastrophic forgetting in neural networks, which occurs when a trained model tends to overwrite previously learned information, when presented with a new task. CL aims to instill the lifelong learning
Externí odkaz:
http://arxiv.org/abs/2407.08411
Accelerating Medical Knowledge Discovery through Automated Knowledge Graph Generation and Enrichment
Autor:
Khalid, Mutahira, Rahman, Raihana, Abbas, Asim, Kumari, Sushama, Wajahat, Iram, Bukhari, Syed Ahmad Chan
Knowledge graphs (KGs) serve as powerful tools for organizing and representing structured knowledge. While their utility is widely recognized, challenges persist in their automation and completeness. Despite efforts in automation and the utilization
Externí odkaz:
http://arxiv.org/abs/2405.02321
Autor:
Chouaibi, H., Mansouri, S., Aitjmal, S., Balli, M., Chdil, O., Eskandari, M. Abbasi, Bukhari, S. H., Fournier, P.
In this paper, we report on the magnetic and magnetocaloric features of Dy-substituted YMn$_2$O$_5$ (Y$_{1-x}$Dy$_x$Mn$_2$O$_5$) with $x=$ 0.6, 0.8, and 1 series elaborated by sol-gel method. X-ray diffraction and Raman measurements attest well the h
Externí odkaz:
http://arxiv.org/abs/2401.01431