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Jamal Alhiyafi
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2020 – today
- 2023
- [c3]Sunday O. Olatunji, Abdulaziz Alzahrani, Abdulaziz Alsubaie, Osamah Aldahlan, Ibrahim Alnafea, Abdullah Alamri, Mohammed Imran Basheer Ahmed, Mohammad Aftab Alam Khan, Abdulrahman Almuhaidib, Jamal Alhiyafi:
Machine Learning Based Preemptive Diagnosis of Parkinson's Disease Using Saudi Clinical Data: A Preliminary Case Study on Saudi Arabia Dataset. IDSTA 2023: 1-6 - 2022
- [j8]Maha M. Alshammari, Afnan Almuhanna, Jamal Alhiyafi:
Mammography Image-Based Diagnosis of Breast Cancer Using Machine Learning: A Pilot Study. Sensors 22(1): 203 (2022) - 2021
- [j7]Sunday O. Olatunji, Sarah Alotaibi, Ebtisam Almutairi, Zainab Alrabae, Yasmeen Almajid, Rahaf Altabee, Mona Altassan, Mohammed Imran Basheer Ahmed, Mehwash Farooqui, Jamal Alhiyafi:
Early diagnosis of thyroid cancer diseases using computational intelligence techniques: A case study of a Saudi Arabian dataset. Comput. Biol. Medicine 131: 104267 (2021)
2010 – 2019
- 2019
- [j6]Njoud Abdullah Almansour, Hajra Fahim Syed, Nuha Radwan Khayat, Rawan Kanaan Altheeb, Renad Emad Juri, Jamal Alhiyafi, Saleh Alrashed, Sunday Olusanya Olatunji:
Neural network and support vector machine for the prediction of chronic kidney disease: A comparative study. Comput. Biol. Medicine 109: 101-111 (2019) - 2017
- [j5]Li Chen, Yinrun Lyu, Chong Wang, Jingzheng Wu, Changyou Zhang, Nasro Min-Allah, Jamal Alhiyafi, Yongji Wang:
Solving linear optimization over arithmetic constraint formula. J. Glob. Optim. 69(1): 69-102 (2017) - [c2]Huda Al-Shehri, Amani Al-Qarni, Leena Al-Saati, Arwa Batoaq, Haifa Badukhen, Saleh Alrashed, Jamal Alhiyafi, Sunday Olusanya Olatunji:
Student performance prediction using Support Vector Machine and K-Nearest Neighbor. CCECE 2017: 1-4 - 2016
- [j4]Saleh Alrashed, Jamal Alhiyafi, Aamir Shafi, Nasro Min-Allah:
An efficient schedulability condition for non-preemptive real-time systems at common scheduling points. J. Supercomput. 72(12): 4651-4661 (2016)
2000 – 2009
- 2009
- [j3]Jamal Alhiyafi, Cavitha Sabesan, Shiyong Lu, Jeffrey L. Ram:
RECOMBFLOW: a scientific workflow environment for Intragenomic Gene Conversion analysis in bacterial genomes, including the pathogen Streptococcus pyogenes. Int. J. Bioinform. Res. Appl. 5(1): 1-19 (2009) - [j2]Jamal Alhiyafi, Shiyong Lu, Jeffrey L. Ram:
Simulation of genomic recombination and the influence of DNA sequence diversity on cluster formation and detectability of recombination: a scientific workflow method. Int. J. Comput. Biol. Drug Des. 2(1): 81-99 (2009) - [j1]Jamal Alhiyafi, Cavitha Sabesan, Shiyong Lu, Jeffrey L. Ram:
Association analysis between Intragenomic Gene Conversions and pathogenicity in genomes of Escherichia coli and Shigella spp.: a scientific workflow approach. Int. J. Funct. Informatics Pers. Medicine 2(1): 57-76 (2009) - 2007
- [c1]Jamal Alhiyafi, Cavitha Sabesan, Shiyong Lu, Melphine Harriott, Deborah Jurczyszyn, Raquel P. Ritchie, Felicitas S. Gonzales, Jeffrey L. Ram:
Computational Methods for Analysis of Cryptic Recombination in the Performance of Genomic Recombination Detection Software. AINA Workshops (1) 2007: 707-712
Coauthor Index
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