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Dr. Syed Asif Hassan
Dr. Syed Asif Hassan
Faculty of Computing and Information Technology Rabigh (FCITR), King Abdulaziz University, Jeddah
Verified email at kau.edu.sa - Homepage
Title
Cited by
Cited by
Year
Aqueous bark extract of cinnamomum zeylanicum: a potential therapeutic agent for streptozotocin-induced type 1 diabetes mellitus (T1DM) rats
SA Hassan, R Barthwal, MS Nair, SS Haque
Tropical Journal of Pharmaceutical Research 11 (3), 429-435, 2012
612012
Machine learning-based application for predicting risk of type 2 diabetes mellitus (t2dm) in saudi arabia: A retrospective cross-sectional study
AH Syed, T Khan
IEEE Access 8, 199539-199561, 2020
582020
A survey on sentiment analysis in Urdu: A resource-poor language
A Khattak, MZ Asghar, A Saeed, IA Hameed, SA Hassan, S Ahmad
Egyptian Informatics Journal 22 (1), 53-74, 2021
372021
A machine learning model to predict the onset of Alzheimer disease using potential cerebrospinal fluid (CSF) biomarkers
SA Hassan, T Khan
International journal of advanced computer science and applications 8 (12), 2017
222017
An ensemble-learning based application to predict the earlier stages of Alzheimer’s disease (AD)
AH Syed, T Khan, A Hassan, NA Alromema, M Binsawad, AO Alsayed
IEEE Access 8, 222126-222143, 2020
182020
Abstracts from the 3rd International Genomic Medicine Conference (3rd IGMC 2015) Jeddah, Kingdom of Saudi Arabia. 30 November-3 December 2015
JW Shay, N Homma, R Zhou, MI Naseer, AG Chaudhary, M Al-Qahtani, ...
BMC genomics 17, 1-78, 2016
152016
SHPIS: A database of medicinal plants from Saudi Arabia
AH Syed
International Journal of Advanced Computer Science and Applications 8 (5), 2017
132017
A hybrid machine learning approach to screen optimal predictors for the classification of primary breast tumors from gene expression microarray data
N Alromema, AH Syed, T Khan
Diagnostics 13 (4), 708, 2023
82023
Ppfs: Predictive permutation feature selection
A Hassan, JH Paik, S Khare, SA Hassan
arXiv preprint arXiv:2110.10713, 2021
82021
Deep transfer learning techniques-based automated classification and detection of pulmonary fibrosis from chest CT images
AH Syed, T Khan, SA Khan
Processes 11 (2), 443, 2023
62023
Semi supervised method for detection of ambiguous word and creation of sense: Using WordNet
SM Saqib, FM Kundi, AH Syed, S Ahmad
International Journal of Advanced Computer Science and Applications 9 (11 …, 2018
62018
A hybrid feature selection approach to screen a novel set of blood biomarkers for early COVID-19 mortality prediction
AH Syed, T Khan, N Alromema
Diagnostics 12 (7), 1604, 2022
52022
Grouping of Aspectsinto Relevant CategoryBased on WordNet Definitions
FMA Sheikh Muhammad Saqib1, Shakeel Ahmad2, AsifHassan Syed2,Tariq Naeem1
International Journal of Computer Science and Network Security 19 (2), 113-119, 2019
5*2019
Restriction inhibition assay: A qualitative and quantitative method to screen sequence specific DNA binder from herbal plants
SA Hassan, R Barthwal, SR Padmadeo, OM Barukab
Tropical Journal of Pharmaceutical Research 13 (2), 267-273, 2014
42014
An E-Commerce based Web Portal to Support Customize Clothes for Obese People
T Khan, AH Syed, A Hashmi
VFAST Transactions on Software Engineering 4 (1), 54-64, 2016
32016
LSI authentication-based arabic to english text converter
HJ Alyamani, S Ahmad, AH Syed, SM Saqib, YD Al-Otaibi
International Journal of Fuzzy Logic and Intelligent Systems 21 (4), 409-422, 2021
22021
Analysis of latent Dirichlet allocation and non-negative matrix factorization using latent semantic indexing
SM Saqib, S Ahmad, AH Syed, T Naeem, FM Alotaibi
International Jour-nal of Advanced and Applied Sciences 6 (10), 94-102, 2019
22019
A PROPOSED PROTOTYPE OF E-PHARMACY WEB APPLICATION FOR THE CONSUMERS OF SAUDI ARABIA.
SA Hassan, T Khan
International Journal of Advanced Research in Computer Science 8 (9), 2017
22017
Computational approaches to identify a derivative of Galardin as an inhibitor of mycobacterial peptide deformylase
SA Hassan, IA Tayubi
VAWKUM Transactions on Computer Sciences 5 (1), 45-55, 2017
22017
Machine learning based predictive model for screening Mycobacterium tuberculosis transcriptional regulatory protein inhibitors from high-throughput screening dataset
SA Hassan, T Khan
International Journal of Advanced Computer Science and Applications 8 (12), 2017
22017
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