Zobrazeno 1 - 10
of 48 561
pro vyhledávání: '"AS Abdulla"'
Autor:
MJ Groeneveld, JD Klein, RH Bennett, AS Abdulla, ME Bond, DA Ebert, SM Fernando, KS Gledhill, S Jaquemet, JJ Kiszka, AHH Macdonald, BQ Mann, J Nevill, AS Price, J Rumbelow, JJ Sitoe, M van Staden, BE Wueringer, AE Bester-van der Merwe
Publikováno v:
Endangered Species Research, Vol 53, Pp 409-427 (2024)
Wedgefishes (Rhinidae) are threatened by unsustainable fishing globally, and especially in the Southwest Indian Ocean (SWIO), due to their high-value fins in the shark trade. The whitespotted wedgefish Rhynchobatus djiddensis and the bottlenose wedge
Externí odkaz:
https://doaj.org/article/d2f6e361d39a4ece811e17f28dae0d0a
Measurement of numerical values of the anomalous density, $\sigma$, which plays important role in Bose -- Einstein condensation, and, especially, determination of its sign, has been a long standing problem. We develop Hartree -- Fock -- Bogoliubov th
Externí odkaz:
http://arxiv.org/abs/2411.15816
Autor:
Abdulla, Parosh Aziz, Atig, Mohamed Faouzi, Cailler, Julie, Liang, Chencheng, Rümmer, Philipp
This paper proposes a Graph Neural Network-guided algorithm for solving word equations, based on the well-known Nielsen transformation for splitting equations. The algorithm iteratively rewrites the first terms of each side of an equation, giving ris
Externí odkaz:
http://arxiv.org/abs/2411.15194
Autor:
Morshed, Abrar, Shihab, Abdulla Al, Jahin, Md Abrar, Nahian, Md Jaber Al, Sarker, Md Murad Hossain, Wadud, Md Sharjis Ibne, Uddin, Mohammad Istiaq, Siraji, Muntequa Imtiaz, Anjum, Nafisa, Shristy, Sumiya Rajjab, Rahman, Tanvin, Khatun, Mahmuda, Dewan, Md Rubel, Hossain, Mosaddeq, Sultana, Razia, Chakma, Ripel, Emon, Sonet Barua, Islam, Towhidul, Hussain, Mohammad Arafat
The COVID-19 pandemic has affected millions of people globally, with respiratory organs being strongly affected in individuals with comorbidities. Medical imaging-based diagnosis and prognosis have become increasingly popular in clinical settings for
Externí odkaz:
http://arxiv.org/abs/2411.05029
Autor:
Hirani, Gaurav, Abdulla, Waleed
The deep convolutional neural network (DCNN) in computer vision has given promising results. It is widely applied in many areas, from medicine, agriculture, self-driving car, biometric system, and almost all computer vision-based applications. Filter
Externí odkaz:
http://arxiv.org/abs/2410.21644
Autor:
Abdulla, Parosh Aziz, Chen, Yo-Ga, Chen, Yu-Fang, Holík, Lukáš, Lengál, Ondřej, Lin, Jyun-Ao, Lo, Fang-Yi, Tsai, Wei-Lun
We present a new method for the verification of quantum circuits based on a novel symbolic representation of sets of quantum states using level-synchronized tree automata (LSTAs). LSTAs extend classical tree automata by labeling each transition with
Externí odkaz:
http://arxiv.org/abs/2410.18540
Autor:
Awais, Muhammad, Alharthi, Ali Husain Salem Abdulla, Kumar, Amandeep, Cholakkal, Hisham, Anwer, Rao Muhammad
Significant progress has been made in advancing large multimodal conversational models (LMMs), capitalizing on vast repositories of image-text data available online. Despite this progress, these models often encounter substantial domain gaps, hinderi
Externí odkaz:
http://arxiv.org/abs/2410.08405
We present the first study of the Public Register of Licensed Persons and Registered Institutions maintained by the Hong Kong Securities and Futures Commission (SFC) through the lens of complex network analysis. This dataset, spanning 21 years with d
Externí odkaz:
http://arxiv.org/abs/2410.07970
Autor:
Alourani, Abdulla, Khan, Shahnawaz
The demand of the halal food products is increasing rapidly around the world. The consumption of halal food product is just not among the Muslims but also among non-Muslims, due to the purity of the halal food products. However, there are several cha
Externí odkaz:
http://arxiv.org/abs/2410.07305
Autor:
Ahmed, Fatimaelzahraa Ali, Yousef, Mahmoud, Ahmed, Mariam Ali, Ali, Hasan Omar, Mahboob, Anns, Ali, Hazrat, Shah, Zubair, Aboumarzouk, Omar, Ansari, Abdulla Al, Balakrishnan, Shidin
Applying deep learning (DL) for annotating surgical instruments in robot-assisted minimally invasive surgeries (MIS) represents a significant advancement in surgical technology. This systematic review examines 48 studies that and advanced DL methods
Externí odkaz:
http://arxiv.org/abs/2410.07269