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1
Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller
Published 2010“…The design schemes of modeling adaptive and predictive FLC (APFLC) is described as follow: Basic FLC, Predictive FLC (PFLC) and APFLC. …”
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Thesis -
2
A hybrid prediction model for pipeline corrosion using Artificial Neural Network with Particle Swarm Optimization
Published 2018“…The basic ANN Model will be improved by integrating the Particle Swarm Optimization (PSO) algorithm to achieve a better and optimal performance. …”
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Article -
3
A hybrid prediction model for pipeline corrosion using Artificial Neural Network with Particle Swarm Optimization
Published 2018“…The basic ANN Model will be improved by integrating the Particle Swarm Optimization (PSO) algorithm to achieve a better and optimal performance. …”
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4
Optimization and prediction of battery electric vehicle driving range using adaptive fuzzy technique
Published 2022“…The study also developed an algorithm for predictive EMS using fuzzy model predictive control technique based on regression algorithm. …”
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Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…The proposed security architecture is constructed as an adaptive way-forward Internet-of-Things (IoT) friendly security solution that is comprised of three cyclic parts: learn, predict and prevent. A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
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Article -
7
Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…The proposed security architecture is constructed as an adaptive way-forward Internet-of-Things (IoT) friendly security solution that is comprised of three cyclic parts: learn, predict and prevent. A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
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Article -
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Early detection of spots high water saturation for landslide prediction using thermal imaging analysis
“…The performance of these segmentation algorithms are measured using misclassification error. …”
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Research Report -
9
Modeling and development of predictive controller for positioning control of electro-hydraulic actuator (EHA) system
Published 2024“…To evaluate the effectiveness of the proposed PFC, the positioning performance of the PFC was compared with the basic controller (Proportional-Integral-Derivative (PID)) in terms of transient response performance. …”
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10
Google the earth: what's next?
Published 2010“…Through remote sensing, our basic scientific knowledge of the Earth and how it functions has expanded rapidly in the last few decades. …”
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Inaugural Lecture -
11
Development of an intelligent multimodal biometric system for household appliances control
Published 2012“…It may be possible to enhance the multi-functionalism of these systems by integrating two or more biometrics. Hence, in this research, multimodal biometric system involving the integration of palmprint, teeth and voice biometrics was developed. …”
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Monograph -
12
Early detection of high water saturation spots for landslide prediction using thermal image analysis
Published 2018“…There are three segmentation algorithm used in this study which are HSV, K-Means and Feature Matching. …”
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13
Text-based emotion prediction system using machine learning approach
Published 2020“…Text-based emotion prediction system to interpret and understand human emotions was successfully developed.…”
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Conference or Workshop Item -
14
Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
15
Prediction Of Antimicrobial Peptides Based On Sequence Alignment And Secondary Structure Sequence And Segment Sequence.pdf
Published 2015“…In this study, a new algorithm is proposed as a computational tool by integrating the sequence alignment method and the secondary structure sequence (SSS) and segment sequence (SS). …”
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16
Integrated artificial intelligence-based classification approach for prediction of acute coronary syndrome
Published 2014“…To recapitulate, the study demonstrated that an integrated AI-based classification approach could be a significant potential for prediction of ACS. …”
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17
Development of an Activity Recognition System Using Accelerometers
Published 2014“…With accelerometers that capture the acceleration rate of different activities and Decision Tree algorithm for classification, the system is able to predict accurately the activity performed by the wearer. …”
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Final Year Project -
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What stole Chinese older adults’ life satisfaction? Integrating medical statistics and machine learning with a life-course perspective using CHARLS data
Published 2026“…Methods: Using data from 4,627 individuals aged 60 and above drawn from the 2020 wave of the China Health and Retirement Longitudinal Study (CHARLS) merged with the 2014 Life History Survey, this study applied a stage-specific and integrated analytical framework. Generalized Ordered Logit Regression (GOLR) was combined with the XGBoost machine learning algorithm to capture both linear and nonlinear associations, as well as perform individual-level prediction of life satisfaction. …”
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Article -
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IMPLEMENTATION OF ADVANCED PROCESS CONTROL FOR FLOW CONTROL APPLICATION
Published 2013“…A general MPC control algorithm is developed using MATLAB/Simulink Toolboxes. …”
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Final Year Project -
20
Fractal coding of bio-metric image for face authentication
Published 2021“…As a result, Fractal Geometry has evolved into a scientific discipline with high predictability. Benoit Mandelbrot established the concept of the natural fractal object, characterized by merging the basics of self-similarity, scaling correlation, and statistical components. …”
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