Zobrazeno 1 - 10
of 31 435
pro vyhledávání: '"Mirzaei A"'
Autor:
Etminani Faegheh, Fazeli-Nasab Bahman, Gowtham Hittanahallikoppal Gajendramurthy, Mirzaei Ali Reza, Barasarathi Jayanthi, Sayyed Riyaz Z.
Publikováno v:
Open Agriculture, Vol 9, Iss 1, Pp 305-39 (2024)
Drought is a major problem worldwide for agriculture, horticulture, and forestry. In many cases, major physiological and biochemical changes occur due to drought stress. The plant’s response to drought stress includes a set of systems for intracell
Externí odkaz:
https://doaj.org/article/b80e41aad54e4d859eccf3e2025d4daa
Autor:
Etminani Faegheh, Fazeli-Nasab Bahman, Gowtham H. G., Mirzaei Ali Reza, Barasarathi Jayanthi, Sayyed R. Z.
Publikováno v:
Open Agriculture, Vol 9, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/5ca5a834bc624dd6834e9156db8b1818
We introduce GaussianCut, a new method for interactive multiview segmentation of scenes represented as 3D Gaussians. Our approach allows for selecting the objects to be segmented by interacting with a single view. It accepts intuitive user input, suc
Externí odkaz:
http://arxiv.org/abs/2411.07555
Autor:
Xing, Shuwei, Mirzaei, Mateen, Xia, Wenyao, Ahmed-Fazal, Inaara, Pardasani, Utsav, Jarayathne, Uditha, Illsley, Scott, Leite, Leandro Cardarelli, Fenster, Aaron, Peters, Terry M., Chen, Elvis C. S.
The 2D projective nature of X-ray radiography presents significant limitations in fluoroscopy-guided interventions, particularly the loss of depth perception and prolonged radiation exposure. Integrating magnetic trackers into these workflows is prom
Externí odkaz:
http://arxiv.org/abs/2411.07495
Autor:
Jana, Kamalesh, de Souza, Amanda B. B., Mi, Yonghao, Gholam-Mirzaei, Shima, Ko, Dong Hyuk, Tripathi, Saroj R., Sederberg, Shawn, Gupta, James A., Corkum, Paul B.
Using optical technology for current injection and electromagnetic emission simplifies the comparison between materials. Here, we inject current into monolayer graphene and bulk gallium arsenide (GaAs) using two-color quantum interference and detect
Externí odkaz:
http://arxiv.org/abs/2411.04943
Autor:
Mirzaei, Hossein, Mathis, Mackenzie W.
Despite significant advancements in out-of-distribution (OOD) detection, existing methods still struggle to maintain robustness against adversarial attacks, compromising their reliability in critical real-world applications. Previous studies have att
Externí odkaz:
http://arxiv.org/abs/2410.10744
Overseas military personnel often face significant challenges in participating in elections due to the slow pace of traditional mail systems, which can result in ballots missing crucial deadlines. While internet-based voting offers a faster alternati
Externí odkaz:
http://arxiv.org/abs/2410.06705
Autor:
Abdollah, Ali, Izadi, Amirmohammad, Saghafian, Armin, Vahidimajd, Reza, Mozafari, Mohammad, Mirzaei, Amirreza, Samiei, Mohammadmahdi, Baghshah, Mahdieh Soleymani
Vision-language models (VLMs) like CLIP have showcased a remarkable ability to extract transferable features for downstream tasks. Nonetheless, the training process of these models is usually based on a coarse-grained contrastive loss between the glo
Externí odkaz:
http://arxiv.org/abs/2409.08206
Autor:
Dahal, Sumit, Ade, Peter A. R., Anderson, Christopher J., Barlis, Alyssa, Barrentine, Emily M., Beeman, Jeffrey W., Bellis, Nicholas, Bolatto, Alberto D., Braianova, Victoria, Breysse, Patrick C., Bulcha, Berhanu T., Cataldo, Giuseppe, Colazo, Felipe A., Chevres-Fernandez, Lee-Roger, Cho, Chullhee, Chmaytelli, Danny S., Connors, Jake A., Costen, Nicholas P., Cursey, Paul W., Ehsan, Negar, Essinger-Hileman, Thomas M., Glenn, Jason, Golec, Joseph E., Hays-Wehle, James P., Hess, Larry A., Jahromi, Amir E., Jenkins, Trevian, Kimball, Mark O., Kogut, Alan J., Kramer, Samuel H., Leung, Nicole, Lowe, Luke N., Mauskopf, Philip D., McMahon, Jeffrey J., Mikula, Vilem, Mirzaei, Mona, Moseley, Samuel H., Mugge-Durum, Jonas W., Nellis, Jacob, Noroozian, Omid, Okun, Kate, Oxholm, Trevor, Parekh, Tatsat, Pen, Ue-Li, Pullen, Anthony R., Rahmani, Maryam, Ramirez, Mathias M., Roberson, Cody, Rodriguez, Samelys, Roselli, Florian, Sapkota, Deepak, Shire, Konrad, Siebert, Gage L., Siddique, Faizah, Sinclair, Adrian K., Somerville, Rachel S., Stephenson, Ryan, Stevenson, Thomas R., Switzer, Eric R., Termini, Jared, Timbie, Peter T., Trenkamp, Justin, Tucker, Carole E., Visbal, Elijah, Volpert, Carolyn G., Watson, Joseph, Weeks, Eric, Wollack, Edward J., Yang, Shengqi, Yung, Aaron
Publikováno v:
Proc. SPIE 13102, Millimeter, Submillimeter, and Far-Infrared Detectors and Instrumentation for Astronomy XII, 131022I (16 August 2024)
The EXperiment for Cryogenic Large-Aperture Intensity Mapping (EXCLAIM) is a balloon-borne telescope designed to survey star formation over cosmological time scales using intensity mapping in the 420 - 540 GHz frequency range. EXCLAIM uses a fully cr
Externí odkaz:
http://arxiv.org/abs/2409.02847
Autor:
Shukla, Sachin, Mirzaei, Omid
In the pursuit of an effective spam detection system, the focus has often been on identifying known spam patterns either through rule-based detection systems or machine learning (ML) solutions that rely on keywords. However, both systems are suscepti
Externí odkaz:
http://arxiv.org/abs/2408.16945