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Dr. Afreen Khan
Dr. Afreen Khan
Department of Computer Application, Integral University | PhD, Aligarh Muslim University
Verified email at myamu.ac.in
Title
Cited by
Cited by
Year
An improved multi-modal based machine learning approach for the prognosis of Alzheimer’s disease
A Khan, S Zubair
Journal of King Saud University-Computer and Information Sciences 34 (6 …, 2022
632022
Development of a three tiered cognitive hybrid machine learning algorithm for effective diagnosis of Alzheimer’s disease
A Khan, S Zubair
Journal of King Saud University-Computer and Information Sciences 34 (10 …, 2022
202022
Usage of random forest ensemble classifier based imputation and its potential in the diagnosis of Alzheimer’s disease
A Khan, S Zubair
Int. J. Sci. Technol. Res 8 (12), 271-275, 2019
172019
Comprehensive Performance Analysis of Neurodegenerative disease Incidence in the Females of 60-96 year Age Group
A Khan, S Zubair, S Khan
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence …, 2021
15*2021
Machine learning tools and toolkits in the exploration of big data
A Khan, S Zubair
international journal of computer sciences and engineering 6 (12), 570-575, 2018
122018
Expansion of regularized kmeans discretization machine learning approach in prognosis of dementia progression
A Khan, S Zubair
2020 11th International Conference on Computing, Communication and …, 2020
112020
An improved pre-processing machine learning approach for cross-sectional mr imaging of demented older adults
A Khan, S Zubair, M Al Sabri
2019 First International Conference of Intelligent Computing and Engineering …, 2019
102019
Longitudinal magnetic resonance imaging as a potential correlate in the diagnosis of Alzheimer disease: exploratory data analysis
A Khan, S Zubair
JMIR Biomedical Engineering 5 (1), e14389, 2020
72020
The NoSQL Movement
MU Bokhari, A Khan
IOSR J. Comput. Eng. Ver. IV 18 (6), 2278-661, 2016
62016
A Machine Learning-based robust approach to identify Dementia progression employing Dimensionality Reduction in Cross-Sectional MRI data
A Khan, S Zubair
2020 First International Conference of Smart Systems and Emerging …, 2020
52020
A systematic analysis of assorted machine learning classifiers to assess their potential in accurate prediction of dementia
A Khan, S Zubair, S Khan
Arab Gulf Journal of Scientific Research 40 (1), 2-24, 2022
22022
Ergonomic survey of computer science students: Challenges at workplace
A Khan, MU Bokhari, M Mustaqeem, MK Vakil, S Khan
HWWE2017: 15th International Conference on Humanizing Work and Work …, 2017
22017
Correlation Among Similarity Measurements for Collaborative Filtering Techniques: An Improved Similarity Metric
S Zubair, MA Al Sabri, A Khan
12019
Critical Review on Threat Model of Various NoSQL Databases
A Khan, BM Ubaidullah
V: 2017 4th International Conference on» Computing for Sustainable Global …, 0
1
Nilearn-based Multimodal Fusion Analysis for Integrating Brain Image Analysis
A Khan
2023 14th International Conference on Computing Communication and Networking …, 2023
2023
Analysing the Academic Performance of Students Under Varying Climatic Conditions
MK Vakil, A Khan, A Rahman
International Conference of the Indian Society of Ergonomics, 249-255, 2021
2021
An Epidemiological-based Regression Analysis of Alzheimer’s disease and Mild Cognitive Impairment Converts in the Female Population
A Khan, S Zubair, S Khan
IEEE EUROCON 2021-19th International Conference on Smart Technologies, 77-81, 2021
2021
An Exploratory Study to Find the Early Trend and Pattern Recognition of COVID-19 Infection in India: A Severity Model-Based Prediction
A Khan, S Zubair, N Khalique, S Khan
Indian Journal of Community Health 33 (2), 299-303, 2021
2021
Prospectives of Big Data Analytics and Explainable Machine Learning in Identification of Probable Biomarkers of Alzheimer's disease
A Khan, S Zubair, S Khan
The 1st International Conference on Computing and Machine Intelligence (ICMI …, 2021
2021
Analysis of Examination Related Experiences of Students under Varying Climatic Conditions
MK Vakil, A Khan, A Rahman
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