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Car dealership web application
Published 2022“…Thus, explainable AI and AI monitoring become the integral components for any new development of commercial applications, including used car dealership web application. …”
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From Employees to Entrepreneurs: A Qualitative Exploration of Career Transitions in Ghana
Published 2025“…AI in KMS is used in the knowledge creation process. …”
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An Artificial Intelligence-Based Knowledge Management System for Outcome-Based Education Implementing in Higher Education Institutions
Published 2025“…AI in KMS is used in the knowledge creation process. …”
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Dental Age Estimation Using a Convolutional Neural Network Algorithm on Panoramic Radiographs: A Pilot Study in Indonesia
Published 2025journal::journal article -
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A new technique for maximum load margin estimation and prediction
Published 2023“…For validation, FAISVM was compared with Evolutionary Support Vector Machine (ESVM) that uses Evolutionary Programming (EP) as the search algorithm. …”
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Development of intelligent early warning system for steam turbine
Published 2023“…The ANN models and the hybrid artificial intelligence (AI) of ANN with Genetic Algorithm (GA), which is able to detect steam turbine trip for Malaysia Jana Manjung (MNJ) power station were developed. …”
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Legal Innovation in Religious Courts: The Potential Utilization of Artificial Intelligence (AI) in Resolving Contemporary Cases.
Published 2024“…However, implementing AI presents challenges, including inadequate regulations, potential algorithmic bias, and compatibility with Islamic legal values. …”
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MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA
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Working Paper -
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Retinal Microvascular Feature Extraction Using Faster Region-based Convolutional Neural Network
Published 2021“…This work is dedicated to developing an image processing-based AI method for retinal vessel extraction from retinal images. …”
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Modelling knowledge transfer of nursing students during clinical placement / Nor Azairiah Fatimah Othman
Published 2017“…The posited model was validated quantitatively using field surveys to one of key stakeholders of clinical placement; the nursing students. …”
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Application of augmented bat algorithm with artificial neural network in forecasting river inflow of hydroelectric reservoir stations in Malaysia
Published 2023“…Artificial intelligence (AI) was implemented to build forecasting models. …”
text::Thesis -
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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
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Application of minimax algorithm in dots and boxes game
Published 2025“…The methodology involved implementing the Minimax algorithm as the primary decision-making engine for the AI. …”
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Final Year Project / Dissertation / Thesis -
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Active intelligent control of vibration of flexible plate structures
Published 2011“…The approach is realised within SISO and SIMO AVC structures using RCGA, PSO and AIS algorithms. These are implemented on the flexible plate structure with various disturbance signals. …”
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Adopting A Particle Swarm-Based Test Generator Strategy For Variable-Strength And T-Way Testing
Published 2011“…Recently, researchers have started to explore the use of Artificial Intelligence (AI)-based algorithms as t-way (where t indicates the interaction strength) and variable-strength testing strategies. …”
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Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game
Published 2015“…These problem can be solved using AI technology. Reinforcement is the process of strengthening an army and it is a crucial issue in gaming design as well. …”
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Application of machine learning and artificial intelligence in detecting SQL injection attacks
Published 2024“…The main aim of this work is focusing on solving the IT-related challenge lack-of-adequate knowledge bases and tools for security practitioners to monitor and mitigate SQL Injection attacks with AI/ML techniques. The study uses a mixed-methods approach to evaluate how well different AI and ML algorithms identify SQL injection attacks by combining algorithmic evaluation with empirical investigation. …”
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AI recommendation penetration testing tool for SQL injection: linear regression
Published 2025“…Based on this, the research employ a linear regression technique in the AI penetration testing. This technique involves the development and implementation of an algorithm designed to improve the efficiency of security evaluations by suggest the suitable penetration testing tools. …”
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