Zobrazeno 1 - 10
of 287
pro vyhledávání: '"Hani Saleh"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The adoption of transformer networks has experienced a notable surge in various AI applications. However, the increased computational complexity, stemming primarily from the self-attention mechanism, parallels the manner in which convolution
Externí odkaz:
https://doaj.org/article/2fcbb9a0ad674567a4ce4d9a930265ae
Autor:
Mater H Mahnashi, Sravanthi Avunoori, Sanjay Gopi, Ibrahim Ahmed Shaikh, Ahmed Saif, Farkad Bantun, Hani Saleh Faidah, Abdulrahman Ali Alhadi, Jaber Hassan Alshehri, Abdullah Ali Alharbi, Prem Kumar S R, Shrinivas D Joshi
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0303173 (2024)
In this study, new series of N'-(2-(substitutedphenoxy)acetyl)-4-(1H-pyrrol-1-yl)benzohydrazides (3a-j) 4-(2,5-dimethyl-1H-pyrrol-1-yl)-N'-(2-(substitutedphenoxy)acetyl)benzohydrazides (5a-j) were synthesized, characterized and assessed as inhibitors
Externí odkaz:
https://doaj.org/article/47dfe48cb4e74c7396f27ecdff2dae44
Publikováno v:
IEEE Access, Vol 11, Pp 61264-61272 (2023)
Deep learning networks achieve high accuracy for many classification tasks in computer vision and natural language processing. As these models are usually over-parameterized, the computations and memory required are unsuitable for power-constrained d
Externí odkaz:
https://doaj.org/article/9a092d75d5a742f3a3f0bcb712ae42eb
Autor:
Tasneem Assaf, Arafat Al-Dweik, Youssef Iraqi, Sobia Jangsher, Anshul Pandey, Jean-Pierre Giacalone, Enas E. Abulibdeh, Hani Saleh, Baker Mohammad
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 4, Pp 209-225 (2023)
Physical layer security (PLS) can be adopted for efficient key generation and sharing in secured wireless systems. The inherent random nature of the wireless channel and the associated channel reciprocity (CR) are the main pillars for realizing PLS t
Externí odkaz:
https://doaj.org/article/5668f39155244960991a0528eac2f46e
Autor:
Abdul Haseeb, Mahmoud Essam Elrggal, Mohammed Saeed Bawazir, Mohammed Omar Bawazir, Inayat Ur Rehman, Hani Saleh Faidah, Saleh Alghamdi, Ahmad J. Mahrous, Alaa Mutlaq, Muhammad Shahid Iqbal, Safa S. Almarzoky Abuhussain, Manal Algethamy, Sattam Saad Alshuail, Abdullmoin AlQarni, Asim A. Khogeer, Nayyra Fatani, Zikria Saleem
Publikováno v:
Saudi Pharmaceutical Journal, Vol 30, Iss 11, Pp 1659-1664 (2022)
Background: Antimicrobial resistance is of paramount concern globally. Community pharmacists (CPs) play a vital role in supporting judicious antimicrobial use in the community as they are the key healthcare providers at a public level. This study aim
Externí odkaz:
https://doaj.org/article/fd84f56c2efc4eeaa21eaeb9a425d75a
Autor:
Mahmoud E. Elrggal, Abdul Haseeb, Manal AlGethamy, Umar Ahsan, Zikria Saleem, Areej Sultan Althaqafi, Sattam Saad Alshuail, Zohair Ahmad Alsiddiqi, Muhammad Shahid Iqbal, Albaraa Faraj Alzahrani, Abdullmoin AlQarni, Rozan Mohammad Radwan, Ameer Khalid Saab Qul, Ahmad Jamal Mahrous, Jumana Majdi Alsharif, Mayyasah Khalid Alqurashi, Hani Saleh Faidah, Mohammed Aldurdunji
Publikováno v:
Frontiers in Pharmacology, Vol 14 (2023)
Background: Dose optimization of vancomycin plays a substantial role in drug pharmacokinetics because of the increased incidence of obesity worldwide. This systematic review was aimed to highlight the current dosing strategy of vancomycin among obese
Externí odkaz:
https://doaj.org/article/24cd033f1c8c416888c5321630e5db29
Publikováno v:
IEEE Access, Vol 10, Pp 97651-97664 (2022)
Brain-inspired architectures are gaining increased attention, especially for edge devices to perform cognitive tasks utilizing its limited energy budget and computing resources. Hyperdimensional computing (HDC) paradigm is an emerging framework inspi
Externí odkaz:
https://doaj.org/article/0ad7689342ec4d1f9f7db11a72cd735f
Publikováno v:
IEEE Access, Vol 10, Pp 41551-41563 (2022)
Deep Neural Networks (DNNs) are computationally and memory intensive, which present a big challenge for hardware, especially for resource-constrained devices such as Internet-of-Things (IoT) nodes. This paper introduces a new method to improve DNNs p
Externí odkaz:
https://doaj.org/article/6f59d89c02ab4fc7a5f9608a266044ca
Autor:
Huruy Tesfai, Hani Saleh, Mahmoud Al-Qutayri, Moath B. Mohammad, Temesghen Tekeste, Ahsan Khandoker, Baker Mohammad
Publikováno v:
IEEE Access, Vol 10, Pp 111842-111854 (2022)
Recent advances in artificial intelligence (AI) and continuous monitoring of patients using wearable devices have enhanced the accuracy of diagnosing various arrhythmias, from the captured Electrocardiogram (ECG) signals. Achieving high accuracy when
Externí odkaz:
https://doaj.org/article/1aa24e2b20c5401bb959593d9246ec2a
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Content addressable memory (CAM) for search and match operations demands high speed and low power for near real-time decision-making across many critical domains. Resistive RAM (RRAM)-based in-memory computing has high potential in realizing
Externí odkaz:
https://doaj.org/article/0983ba317a5a4bfca0809e744f45e120