Zobrazeno 1 - 10
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pro vyhledávání: '"Noor SO"'
Autor:
Afifah Hayati, Noor Sofiyati
Publikováno v:
Jambura Journal of Mathematics, Vol 6, Iss 2, Pp 182-186 (2024)
This article is a commentary on research that is conducted by Hayati et al. which was published in Jambura Journal of Mathematics volume 5 number 2 in 2023. It was found that there is an error occurred in the process of proving the fixed point theore
Externí odkaz:
https://doaj.org/article/5cbd7dc8c7cc4d92a799359eaa140c57
Publikováno v:
Jambura Journal of Mathematics, Vol 5, Iss 2 (2023)
Some generalizations of Banach's contraction principle, which is a fixed-point theorem for contraction mapping in metric spaces, have developed rapidly in recent years. Some of the things that support the development of generalization are the emergen
Externí odkaz:
https://doaj.org/article/968c050af60e41b7873c93d3e991d4fb
Autor:
Vayani, Ashmal, Dissanayake, Dinura, Watawana, Hasindri, Ahsan, Noor, Sasikumar, Nevasini, Thawakar, Omkar, Ademtew, Henok Biadglign, Hmaiti, Yahya, Kumar, Amandeep, Kuckreja, Kartik, Maslych, Mykola, Ghallabi, Wafa Al, Mihaylov, Mihail, Qin, Chao, Shaker, Abdelrahman M, Zhang, Mike, Ihsani, Mahardika Krisna, Esplana, Amiel, Gokani, Monil, Mirkin, Shachar, Singh, Harsh, Srivastava, Ashay, Hamerlik, Endre, Izzati, Fathinah Asma, Maani, Fadillah Adamsyah, Cavada, Sebastian, Chim, Jenny, Gupta, Rohit, Manjunath, Sanjay, Zhumakhanova, Kamila, Rabevohitra, Feno Heriniaina, Amirudin, Azril, Ridzuan, Muhammad, Kareem, Daniya, More, Ketan, Li, Kunyang, Shakya, Pramesh, Saad, Muhammad, Ghasemaghaei, Amirpouya, Djanibekov, Amirbek, Azizov, Dilshod, Jankovic, Branislava, Bhatia, Naman, Cabrera, Alvaro, Obando-Ceron, Johan, Otieno, Olympiah, Farestam, Fabian, Rabbani, Muztoba, Baliah, Sanoojan, Sanjeev, Santosh, Shtanchaev, Abduragim, Fatima, Maheen, Nguyen, Thao, Kareem, Amrin, Aremu, Toluwani, Xavier, Nathan, Bhatkal, Amit, Toyin, Hawau, Chadha, Aman, Cholakkal, Hisham, Anwer, Rao Muhammad, Felsberg, Michael, Laaksonen, Jorma, Solorio, Thamar, Choudhury, Monojit, Laptev, Ivan, Shah, Mubarak, Khan, Salman, Khan, Fahad
Existing Large Multimodal Models (LMMs) generally focus on only a few regions and languages. As LMMs continue to improve, it is increasingly important to ensure they understand cultural contexts, respect local sensitivities, and support low-resource
Externí odkaz:
http://arxiv.org/abs/2411.16508
Autor:
Abd, Noor Saud, Karoui, Kamel
In the current digital age, the volume of data generated by various cyber activities has become enormous and is constantly increasing. The data may contain valuable insights that can be harnessed to improve cyber security measures. However, much of t
Externí odkaz:
http://arxiv.org/abs/2411.14550
Autor:
Puspa, Sefatun-Noor, Enan, Abyad, Majumdar, Reek, Salek, M Sabbir, Comert, Gurcan, Chowdhury, Mashrur
Cyber-physical systems rely on sensors, communication, and computing, all powered by integrated circuits (ICs). ICs are largely susceptible to various hardware attacks with malicious intents. One of the stealthiest threats is the insertion of a hardw
Externí odkaz:
http://arxiv.org/abs/2411.12721
Autor:
Roy, Aurora Lithe, Siam, Md Kamrul, Prova, Nuzhat Noor Islam, Jahan, Sumaiya, Maruf, Abdullah Al
Diabetes, particularly Type 2 diabetes (T2D), poses a substantial global health burden, compounded by its associated complications such as cardiovascular diseases, kidney failure, and vision impairment. Early detection of T2D is critical for improvin
Externí odkaz:
http://arxiv.org/abs/2411.14471
This paper presents the Multi-Objective Ant Nesting Algorithm (MOANA), a novel extension of the Ant Nesting Algorithm (ANA), specifically designed to address multi-objective optimization problems (MOPs). MOANA incorporates adaptive mechanisms, such a
Externí odkaz:
http://arxiv.org/abs/2411.15157
Publikováno v:
Advances in Information and Communication Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 3
It is typically assumed that for the successful use of machine learning algorithms, these algorithms should have a higher accuracy than a human expert. Moreover, if the average accuracy of ML algorithms is lower than that of a human expert, such algo
Externí odkaz:
http://arxiv.org/abs/2411.10474
Autor:
Wang, Chuanchuan, Mohmamed, Ahmad Sufril Azlan, Noor, Mohd Halim Bin Mohd, Yang, Xiao, Yi, Feifan, Li, Xiang
This paper presents the ARN-LSTM architecture, a novel multi-stream action recognition model designed to address the challenge of simultaneously capturing spatial motion and temporal dynamics in action sequences. Traditional methods often focus solel
Externí odkaz:
http://arxiv.org/abs/2411.01769
We completely characterize the bounded composition operators $C_\phi f=f\circ\phi$ on the Paley-Wiener spaces $B^2_{\sigma}$ for $\sigma>0$ that are self-adjoint, unitary, cohyponormal, normal, complex symmetric and hypercyclic. Moreover, we show tha
Externí odkaz:
http://arxiv.org/abs/2411.01339