Search Results - (( model evaluation tool algorithm ) OR ( _ identification using algorithm ))
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1
Identification of non-linear dynamic systems using fuzzy system with constrained membership functions
Published 2004“…In this study, the identification performance of the SFS trained by the back-propagation (BP) algorithm forms the basis of comparison when evaluations were made on the performance of the newly proposed CFS models. …”
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2
Sketch-based 3D modeling of symmetric objects from wireframe sketches on paper
Published 2016“…The results of the validation show a complete similarity between each original face and the output from our algorithm. Furthermore, the algorithm is also evaluated by human experts and shows 100% correctness.…”
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3
Comparison of meta-heuristic algorithms for fuzzy modelling of covid-19 illness’ severity classification
Published 2022“…The performance of the five meta-heuristic algorithms was evaluated using the COVID-19 symptoms dataset. …”
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4
A security payment model for financial payment using mykad
Published 2011“…However, if attack or intrusion is detected in less than 30 minutes, ARSA will automatically change the security algorithm to a new one. The evaluation of the MPM performance is measured with HP LoadRunner testing tools from which it is found that the response time of MPM with multithreading is better compared to the single thread model and credit card authorisation system. …”
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Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier : A scoping review
Published 2022“…Objective: This article aims to evaluate current artificial intelligence applications and discuss their performance concerning the algorithm architecture used in forensic odontology. …”
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Convolutional neural network based mobile application for poisonous mushroom detection
Published 2025“…This good accuracy underscores the model's reliability and effectiveness in real-world applications, making it a valuable tool for ensuring public safety.…”
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8
The conceptual framework of knowledge of large scale and incomplete graphs of skyline queries optimization using machine learning
Published 2025“…The preliminary results using the K means Clustering Algorithm showed that the conceptual framework successfully grouped similar data points, facilitating the identification of skyline points. …”
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Proceeding Paper -
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A conceptual framework for a lightweight AI system for skin disease risk prediction using epidemiological data in rural Bangladesh
Published 2026“…The framework incorporates environmental, occupational, hygiene-related, and living-condition factors to model individual risk profiles. Preliminary experiments conducted on an existing dataset demonstrate that conventional machine learning algorithms, particularly K-Nearest Neighbors (KNN) and Random Forest, achieve strong predictive performance, with accuracy reaching up to 88% in train–test evaluations and 80% in 10-fold cross-validation. …”
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Identification of critical factors underpinning banks’ lending relationship quality of SMEs: SMEs perspectives / Tury Retap
Published 2019“…The data were captured into SPSS 22 and evaluated by using SMARTPLS 3.2.7 iterative algorithm, bootstrapping and blindfolding procedures to obtain the results. …”
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Oil palm female inflorescences anthesis stages identification using selected emissivities through thermal imaging and Machine Learning
Published 2022“…Thermal images are captured with a selected emissivity values of 0.96, 0.97, and 0.98 and evaluated to determine the best model performance. …”
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Identifying suicidal ideation through twitter sentiment analysis using Naïve Bayes / Annasuha Atie Atirah Alias
Published 2023“…Thus, this project aims to design, develop, and evaluate web-based application utilizing sentiment analysis, specifically employing the Naïve Bayes algorithm, to identify and analyze suicidal ideation within Twitter posts. …”
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13
Agent-based extraction algorithm for computational problem solving
Published 2015“…The tool is used to evaluate the accuracy of the proposed extraction algorithm to extract the appropriate information which are needed. …”
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14
A Hybrid Machine Learning and Optimisation-Based Model for Predicting the Success of Business-To-Consumer Software Development Projects in Indonesia
Published 2025“…Building on these findings, a predictive framework is constructed by integrating machine learning algorithms with advanced optimization and data handling strategies. …”
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15
Feature extraction from natural language to aid requirements reuse in software product lines engineering / Noor Hasrina Bakar
Published 2016“…FENL consists of four main phases: Accessing Requirements, Terms Extraction, Feature Identification and Formation of Feature Model. The proposed model is demonstrated through lab experiment and online software reviews are used as the input. …”
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16
Development of reliability-centered maintenance model using linguistic failure mode and effect analysis
Published 2019“…Failure mode and effect analysis (FMEA) is an essential tool used in the maintenance approach for the prevention of malfunctioning of the equipment. …”
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17
Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool
Published 2019“…This final year project identified relevant parameters through literature research, analysis and expert interview, and evaluated different machine learning algorithms and identified linear regression as the most applicable and efficient with its R-square of 0.8015, qualifying it to be used for the development of a hybrid model for the AI-based tool for predictive process optimization for chemical plants.…”
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Final Year Project -
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Development of a simulation-based decision support model for high precision component manufacturer
Published 2013“…The SDSM is useful to calculate the waiting cost which is too complicated if modelled by mathematical modeling or algorithms. …”
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19
A survey of simulators, emulatots and testbeds for Wireless Sensor Network
Published 2010“…Simulators, emulators and testbeds are invaluable tools for performance evaluation of algorithms and protocols in wireless sensor networks (WSNs). …”
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Conference or Workshop Item -
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Algorithm-program visualization model : An intergrated software visualzation to support novices' programming comprehension
Published 2015“…This model is then to be used in the prototype tool development that is called 3De-ALPROV (Design Development Debug – Algorithm Program Visualization). …”
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Thesis
