A. Sheik Abdullah

According to our database, A. Sheik Abdullah authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Author Correction: Enabling business sustainability for stock market data using machine learning and deep learning approaches.

S. Divyashree, Joshua Christy Jackson, Abdul Quadir Muhammed, Senthilkumar Mohan, A. Sheik Abdullah, Ummul Hanan Mohamad, Nisreen Innab, Ali Ahmadian

Ann. Oper. Res., October, 2024

Enabling Technology Integrated Learning for Autistic Children Using Augmented Reality Based Cognitive Rehabilitation.

A. Sheik Abdullah, J. Karthikeyan, V. Gomathi, R. Parkavi, P. Rajarajeswari

SN Comput. Sci., January, 2024

Enhancing personalized learning with explainable AI: A chaotic particle swarm optimization based decision support system.

R. Parkavi, P. Karthikeyan, A. Sheik Abdullah

Appl. Soft Comput., 2024

Disseminating the Risk Factors With Enhancement in Precision Medicine Using Comparative Machine Learning Models for Healthcare Data.

A. Sheik Abdullah, V. Naga Pranava Shashank, D. Altrin Lloyd Hudson

IEEE Access, 2024

2022

Assessment of the risk factors of type II diabetes using ACO with self-regulative update function and decision trees by evaluation from Fisher's Z-transformation.

A. Sheik Abdullah

Medical Biol. Eng. Comput., 2022

A hybrid web analytic approach through click enabled vision based page segmentation in quest software for school students.

R. Muruganandham, A. Sheik Abdullah, S. Selvakumar

J. Intell. Fuzzy Syst., 2022

Assessment of Risk Factors in Medical Data Using Improved Binary Artificial Fish Swarm Algorithm With Classification Upon Evaluation From F-Test.

A. Sheik Abdullah

Int. J. Swarm Intell. Res., 2022

2021

Assessment and evaluation of CHD risk factors using weighted ranked correlation and regression with data classification.

A. Sheik Abdullah, S. Selvakumar, M. Venkatesh

Soft Comput., 2021

Development of a Predictive Model for Textual Data Using Support Vector Machine Based on Diverse Kernel Functions Upon Sentiment Score Analysis.

A. Sheik Abdullah, K. Akash, K. R. A. Bhubesh, S. Selvakumar

Int. J. Nat. Comput. Res., 2021

Medical Steel Fault Prediction Using Deep Learning Techniques.

A. Sheik Abdullah, S. Selvakumar, Manoj A, K. R. A. Bhubesh

Proceedings of the Position and Communication Papers of the 16th Conference on Computer Science and Intelligence Systems, 2021

A New Approach to Remote Health Monitoring using Augmented Reality with WebRTC and WebXR.

A. Sheik Abdullah, A. Manoj, G. T. Tarun Kishore, S. Selvakumar

Proceedings of the 22nd International Arab Conference on Information Technology, 2021

2020

Sentiment Analysis of Movie Reviews Using Support Vector Machine Classifier with Linear Kernel Function.

A. Sheik Abdullah, K. Akash, J. ShaminThres, S. Selvakumar

Proceedings of the Evolution in Computational Intelligence, 2020

2019

Assessment of the risk factors for type II diabetes using an improved combination of particle swarm optimization and decision trees by evaluation with Fisher's linear discriminant analysis.

A. Sheik Abdullah, S. Selvakumar

Soft Comput., 2019

2018

A Hybrid Decision Support Model for Type II Diabetes.

A. Sheik Abdullah, V. Rishi Kumar, S. Selvakumar, M. Venkatesh, Parkavi Ravi

Proceedings of the 2018 International Conference on Advances in Computing, 2018