Liaqat Ali

Orcid: 0000-0002-1500-0463

According to our database1, Liaqat Ali authored at least 61 papers between 2012 and 2024.

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Bibliography

2024
Correction to: Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions.
J. Medical Syst., December, 2024

Is FinTech Implementation a Strategic Step for Sustainability in Today's Changing Landscape? An Empirical Investigation.
IEEE Trans. Engineering Management, 2024

Leveraging Digital Payment Adoption Experience to Advance the Development of Digital-Only (Neo) Banks: Role of Trust, Risk, Security, and Green Concern.
IEEE Trans. Engineering Management, 2024

Integrating Forecasting Service and Gen2 Blockchain Into a Local Energy Trading Platform to Promote Sustainability Goals.
IEEE Access, 2024

Unveiling the Landscape of Machine Learning and Deep Learning Methodologies in Network Security: A Comprehensive Literature Review.
Proceedings of the 2024 2nd International Conference on Cyber Resilience (ICCR), 2024

Proposal Intelligent Hand Gesture Recognition Using CNN.
Proceedings of the 2024 2nd International Conference on Cyber Resilience (ICCR), 2024

An In-Depth Examination of Cybersecurity: Unveiling Contemporary Trends and Recent Advancements in the World of Cyber Threats.
Proceedings of the 2024 2nd International Conference on Cyber Resilience (ICCR), 2024

2023
Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions.
J. Medical Syst., December, 2023

Correction to: A hybrid machine learning framework to predict mortality in paralytic ileus patients using electronic health records (EHRs).
J. Ambient Intell. Humaniz. Comput., October, 2023

A novel sample and feature dependent ensemble approach for Parkinson's disease detection.
Neural Comput. Appl., August, 2023

Estimation of glacier mass balance using remote sensing and GIS technology in the Hindu Kush region of northern Pakistan.
Earth Sci. Informatics, March, 2023

Linear Discrimination Analysis Using Image Processing Optimization.
Proceedings of the Effect of Information Technology on Business and Marketing Intelligence Systems, 2023

DDoS Intrusion Detection with Ensemble Stream Mining for IoT Smart Sensing Devices.
Proceedings of the Effect of Information Technology on Business and Marketing Intelligence Systems, 2023

Breast Cancer Prediction Using Machine Learning and Image Processing Optimization.
Proceedings of the Effect of Information Technology on Business and Marketing Intelligence Systems, 2023

Information Systems Solutions for the Database Problems.
Proceedings of the Effect of Information Technology on Business and Marketing Intelligence Systems, 2023

Application of a Community Battery-Integrated Microgrid in a Blockchain-Based Local Energy Market Accommodating P2P Trading.
IEEE Access, 2023

2022
χ2-BidLSTM: A Feature Driven Intrusion Detection System Based on χ2 Statistical Model and Bidirectional LSTM.
Sensors, 2022

Teleportation of atomic external states on the internal degrees of freedom.
Quantum Inf. Process., 2022

The crucial features of aggregation in TiO<sub>2</sub>-water nanofluid aligned of chemically comprising microorganisms: A FEM approach.
Comput. Math. Appl., 2022

Melting effect on Cattaneo-Christov and thermal radiation features for aligned MHD nanofluid flow comprising microorganisms to leading edge: FEM approach.
Comput. Math. Appl., 2022

Screening of immune epitope in the proteome of the Dabie bandavirus, SFTS, to design a protein-specific and proteome-wide vaccine for immune response instigation using an immunoinformatics approaches.
Comput. Biol. Medicine, 2022

Subtractive proteomics assisted therapeutic targets mining and designing ensemble vaccine against <i>Candida auris</i> for immune response induction.
Comput. Biol. Medicine, 2022

An Automatic Detection of Breast Cancer Diagnosis and Prognosis Based on Machine Learning Using Ensemble of Classifiers.
IEEE Access, 2022

Blockchain-Based Local Energy Market Enabling P2P Trading: An Australian Collated Case Study on Energy Users, Retailers and Utilities.
IEEE Access, 2022

A Win-Win Local Energy Market for Participants, Retailers, and the Network Operator : A Peer-to-Peer Trading-driven Case Study.
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

Fusion Based Self Diagnosis Expert System Empowered with Leven-berg Marquardt Algorithm.
Proceedings of the 2022 International Conference on Cyber Resilience (ICCR), 2022

Activity Based Easy Learning Of PushDown Automata.
Proceedings of the 2022 International Conference on Cyber Resilience (ICCR), 2022

Distributed Search Engine Query Optimization Using Artificial Neural Network.
Proceedings of the 2022 International Conference on Cyber Resilience (ICCR), 2022

2021
Fatigue Crack Monitoring of T-Type Joints in Steel Offshore Oil and Gas Jacket Platform.
Sensors, 2021

Lung nodules detection using semantic segmentation and classification with optimal features.
Neural Comput. Appl., 2021

LDA-GA-SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine.
Neural Comput. Appl., 2021

A bidirectional LSTM deep learning approach for intrusion detection.
Expert Syst. Appl., 2021

2020
The Impact of Nanoparticles Due to Applied Magnetic Dipole in Micropolar Fluid Flow Using the Finite Element Method.
Symmetry, 2020

Thermo-Diffusion and Multislip Effects on MHD Mixed Convection Unsteady Flow of Micropolar Nanofluid over a Shrinking/Stretching Sheet with Radiation in the Presence of Heat Source.
Symmetry, 2020

Development of Hepatitis Disease Detection System by Exploiting Sparsity in Linear Support Vector Machine to Improve Strength of AdaBoost Ensemble Model.
Mob. Inf. Syst., 2020

Characterizing the architectures and brokering protocols for enabling clouds interconnection.
Concurr. Comput. Pract. Exp., 2020

Numerical Simulations of GFRP-Reinforced Columns Having Polypropylene and Polyvinyl Alcohol Fibers.
Complex., 2020

Optimized Wavelet-Based Satellite Image De-Noising With Multi-Population Differential Evolution-Assisted Harris Hawks Optimization Algorithm.
IEEE Access, 2020

2019
Early diagnosis of Parkinson's disease from multiple voice recordings by simultaneous sample and feature selection.
Expert Syst. Appl., 2019

A Feature-Driven Decision Support System for Heart Failure Prediction Based on χ2 Statistical Model and Gaussian Naive Bayes.
Comput. Math. Methods Medicine, 2019

A New Automatic Method for Control Chart Patterns Recognition Based on ConvNet and Harris Hawks Meta Heuristic Optimization Algorithm.
IEEE Access, 2019

Reliable Parkinson's Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System Based on Feature Selection and Adaptive Boosting Model.
IEEE Access, 2019

An Automated Diagnostic System for Heart Disease Prediction Based on χ<sup>2</sup> Statistical Model and Optimally Configured Deep Neural Network.
IEEE Access, 2019

An Optimized Stacked Support Vector Machines Based Expert System for the Effective Prediction of Heart Failure.
IEEE Access, 2019

Optimizing Task Execution for Mobile Edge Computing.
Proceedings of the 8th International Conference on Networks, Communication and Computing, 2019

E-Accessibility Evaluation of UAE Governmental Websites: Findings and Implications.
Proceedings of the 2019 3rd International Conference on E-commerce, 2019

2018
Correction of array failure using grey wolf optimizer hybridized with an interior point algorithm.
Frontiers Inf. Technol. Electron. Eng., 2018

Analysing seasonal variation and forecasting the output of beverage industry in Pakistan using Demetra+.
Int. J. Manuf. Technol. Manag., 2018

A New Framework for Easy and Efficient Augmentation of Primary Level Books.
Proceedings of the Augmented Reality, Virtual Reality, and Computer Graphics, 2018

2017
A simple algorithm for exact solutions of systems of linear and nonlinear integro-differential equations.
Appl. Math. Comput., 2017

Analyzing Various Functions of Prefrontal Cortex (PFC) in Decision Making via Brain Imaging Techniques.
Proceedings of the Advances in Cross-Cultural Decision Making, 2017

Machine learning based computer-aided diagnosis of liver tumours.
Proceedings of the 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2017

2016
A Novel Fully Automated Liver and HCC Tumor Segmentation System Using Morphological Operations.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016

2014
Leveraging MSLQ Data for Predicting Students Achievement Goal Orientations.
J. Learn. Anal., November, 2014

Intelligent image processing techniques for cancer progression detection, recognition and prediction in the human liver.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2014

2013
Factors influencing beliefs for adoption of a learning analytics tool: An empirical study.
Comput. Educ., 2013

Improved Efficiency of Road Sign Detection and Recognition by Employing Kalman Filter.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2013

2012
Self-regulated Workplace Learning: A Pedagogical Framework and Semantic Web-based Environment.
J. Educ. Technol. Soc., 2012

A qualitative evaluation of evolution of a learning analytics tool.
Comput. Educ., 2012

Semantic Web and Linked Learning to Support Workplace Learning.
Proceedings of the 2nd International Workshop on Learning and Education with the Web of Data, 2012

Learn-B: a social analytics-enabled tool for self-regulated workplace learning.
Proceedings of the Second International Conference on Learning Analytics and Knowledge, 2012


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