Zobrazeno 1 - 10
of 26 057
pro vyhledávání: '"A. A. Hamzah"'
Autor:
Talafha, Bashar, Kadaoui, Karima, Magdy, Samar Mohamed, Habiboullah, Mariem, Chafei, Chafei Mohamed, El-Shangiti, Ahmed Oumar, Zayed, Hiba, tourad, Mohamedou cheikh, Alhamouri, Rahaf, Assi, Rwaa, Alraeesi, Aisha, Mohamed, Hour, Alwajih, Fakhraddin, Mohamed, Abdelrahman, Mekki, Abdellah El, Nagoudi, El Moatez Billah, Saadia, Benelhadj Djelloul Mama, Alsayadi, Hamzah A., Al-Dhabyani, Walid, Shatnawi, Sara, Ech-Chammakhy, Yasir, Makouar, Amal, Berrachedi, Yousra, Jarrar, Mustafa, Shehata, Shady, Berrada, Ismail, Abdul-Mageed, Muhammad
In spite of the recent progress in speech processing, the majority of world languages and dialects remain uncovered. This situation only furthers an already wide technological divide, thereby hindering technological and socioeconomic inclusion. This
Externí odkaz:
http://arxiv.org/abs/2410.04527
Autor:
Xu, Moucheng, Chatzaroulas, Evangelos, McCutcheon, Luc, Ahad, Abdul, Azeem, Hamzah, Marecki, Janusz, Anwar, Ammar
A Standard Operating Procedure (SOP) defines a low-level, step-by-step written guide for a business software workflow. SOP generation is a crucial step towards automating end-to-end software workflows. Manually creating SOPs can be time-consuming. Re
Externí odkaz:
http://arxiv.org/abs/2409.15867
Autor:
Shah, Shahid Munir, Gillani, Syeda Anshrah, Baig, Mirza Samad Ahmed, Saleem, Muhammad Aamer, Siddiqui, Muhammad Hamzah
This study investigates the use of Large Language Models (LLMs) for improved depression detection from users social media data. Through the use of fine-tuned GPT 3.5 Turbo 1106 and LLaMA2-7B models and a sizable dataset from earlier studies, we were
Externí odkaz:
http://arxiv.org/abs/2409.14794
Autor:
Alyami, Sarah, Luqman, Hamzah
Continuous Sign Language Recognition (CSLR) focuses on the interpretation of a sequence of sign language gestures performed continually without pauses. In this study, we conduct an empirical evaluation of recent deep learning CSLR techniques and asse
Externí odkaz:
http://arxiv.org/abs/2406.12369
Advances in deepfake research have led to the creation of almost perfect manipulations undetectable by human eyes and some deepfakes detection tools. Recently, several techniques have been proposed to differentiate deepfakes from realistic images and
Externí odkaz:
http://arxiv.org/abs/2406.08625
Autonomous agents operating around human actors must consider how their behaviors might affect those humans, even when not directly interacting with them. To this end, it is often beneficial to be predictable and appear naturalistic. Existing methods
Externí odkaz:
http://arxiv.org/abs/2405.19292
Autor:
H. P. S. Abdul Khalil, T. K. Lai, Y. Y. Tye, S. Rizal, E. W. N. Chong, S. W. Yap, A. A. Hamzah, M. R. Nurul Fazita, M. T. Paridah
Publikováno v:
eXPRESS Polymer Letters, Vol 12, Iss 4, Pp 296-317 (2018)
The term hydrocolloid generally refers to substances that form gels or provide viscous dispersion in the presence of water. Alginate, agar, and carrageenan are three commercially valuable hydrocolloids derived from certain brown and red seaweed and e
Externí odkaz:
https://doaj.org/article/35a29fef54e44d3c92e8f7e67c383bf3
Routing represents a pivotal concern in the context of Wireless Sensor Networks (WSN) owing to its divergence from traditional network routing paradigms. The inherent dynamism of the WSN environment, coupled with the scarcity of available resources,
Externí odkaz:
http://arxiv.org/abs/2402.12526
Traditional manual detection for solder joint defect is no longer applied during industrial production due to low efficiency, inconsistent evaluation, high cost and lack of real-time data. A new approach has been proposed to address the issues of low
Externí odkaz:
http://arxiv.org/abs/2401.01214
Autor:
Elrehail, Hamzah, Aljahmani, Raed, Taamneh, Abdallah Mohammad, Alsaad, Abdallah Khalaf, Al-Okaily, Manaf, Emeagwali, Okechukwu Lawrence
Publikováno v:
EuroMed Journal of Business, 2023, Vol. 19, Issue 4, pp. 943-972.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EMJB-03-2022-0057