Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Mohammed A. El-Affendi"'
Publikováno v:
Heliyon, Vol 9, Iss 10, Pp e20350- (2023)
Background: Prostate cancer is a significant public health issue, ranking as the second most common cancer and the fifth leading cause of cancer-related deaths in men. In Pakistan, the prevalence of prostate cancer varies significantly across publish
Externí odkaz:
https://doaj.org/article/6e826dac92b74fb3a0d9d20e794d8bd2
Publikováno v:
IEEE Access, Vol 11, Pp 69164-69176 (2023)
With the growing capability of realizing quantum computers, most medical image cryptosystems may crash. This work proposes a novel double medical-image encryption algorithm using quantum walks and logistic mapping. In the proposed encryption techniqu
Externí odkaz:
https://doaj.org/article/8f30d9f84c534b03b6b893e5c0cb0196
Publikováno v:
IEEE Access, Vol 11, Pp 65371-65381 (2023)
The outbreak of COVID-19 boosted the rapid increase in E-Learning platforms. It also paves the way for Massive Online Open Courses (MOOCs) to break the record for students’ enrollment in online courses. In such circumstances, it is significant to t
Externí odkaz:
https://doaj.org/article/62b8847830ca421b89ff6298df43471e
Autor:
Nasrin Elhassan, Giuseppe Varone, Rami Ahmed, Mandar Gogate, Kia Dashtipour, Hani Almoamari, Mohammed A. El-Affendi, Bassam Naji Al-Tamimi, Faisal Albalwy, Amir Hussain
Publikováno v:
Computers, Vol 12, Iss 6, p 126 (2023)
Social media networks have grown exponentially over the last two decades, providing the opportunity for users of the internet to communicate and exchange ideas on a variety of topics. The outcome is that opinion mining plays a crucial role in analyzi
Externí odkaz:
https://doaj.org/article/cc0d0d46e8674dcbb0fee7443f2a7ec3
Publikováno v:
IEEE Access, Vol 9, Pp 7508-7518 (2021)
Over the past few years, much work has been done to develop machine learning models that perform Arabic sentiment analysis (ASA) tasks at various levels and in different domains. However, most of this work has been based on shallow machine learning,
Externí odkaz:
https://doaj.org/article/b7909fccf27f47798e6e00f28d6438fe
Autor:
Hasan Raza, Ishtiaq Ahmad, Noor M. Khan, Waseem Abbasi, Muhammad Shahid Anwar, Sadique Ahmad, Mohammed A. El-Affendi
Publikováno v:
Mathematics, Vol 10, Iss 23, p 4600 (2022)
The computational complexity of the multiple-input and multiple-output (MIMO) based least square algorithm is very high and it cannot be run on processing-inefficient low-cost platforms. To overcome complexity-related problems, a parallel distributed
Externí odkaz:
https://doaj.org/article/f6f417910d064328ac386073dc8041ce
Publikováno v:
Energies, Vol 15, Iss 11, p 3929 (2022)
This study introduces Pakistan’s multidimensional energy security index (PMESI) and indices across dimensions from 1991 to 2020 through indicator optimization. Based on criteria, expert participation, and reliability testing, 27 indicators were ide
Externí odkaz:
https://doaj.org/article/082085005fef403ba0abd7714e7241ef
Autor:
Rami Ahmed, Mandar Gogate, Ahsen Tahir, Kia Dashtipour, Bassam Al-tamimi, Ahmad Hawalah, Mohammed A. El-Affendi, Amir Hussain
Publikováno v:
Entropy, Vol 23, Iss 3, p 340 (2021)
Offline Arabic Handwriting Recognition (OAHR) has recently become instrumental in the areas of pattern recognition and image processing due to its application in several fields, such as office automation and document processing. However, OAHR continu
Externí odkaz:
https://doaj.org/article/f728beb3ac4d46d68bb78d6a0f57c0e2
Autor:
Muhammad Anees Khan, Sadique Ahmad, Mohammed A. El-Affendi, Rija Zaka, Saima Mahmood, Muhammad Jehangir
Publikováno v:
BioMed Research International. 2022:1-9
Researchers in the past discussed the psychological issue like stress, anxiety, depression, phobias on various forms, and cognitive issues (e.g., positive thinking) together with personality traits on traditional research methodologies. These psychol
Autor:
Sohail Akhtar, Maham Ramzan, Sajid Shah, Iftikhar Ahmad, Muhammad Imran Khan, Sadique Ahmad, Mohammed A. El-Affendi, Humera Qureshi
Publikováno v:
Mathematical Problems in Engineering. 2022:1-11
Exchange rates are crucial in regulating the foreign exchange market's dynamics. Because of the unpredictability and volatility of currency rates, the exchange rate prediction has become one of the most challenging applications of financial time seri