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Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques
Published 2024“…By contrast, the results of the safe path selection model were compared with the results obtained using Dijkstra's algorithm and the Floyd-Warshall algorithm. …”
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Developing an intelligent system to acquire meeting knowledge in problem-based learning environments
Published 2006“…MALESAbrain1-3 is an intelligent algorithm which originally is designed for problem-based learning (PBL) environment. …”
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Heuristic factors in ant system algorithm for course timetabling problem
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Conference or Workshop Item -
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Intelligent Prediction System for Gas Metering System using Particle Swarm Optimization in Training Neural Network
Published 2017“…In this paper, a study on development of prediction model based on an intelligent systems is discussed for gas metering system in order to validate the instrument reliability. …”
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An intelligent framework for modelling and active vibration control of flexible structures
Published 2004“…This thesis presents investigations into the development of an intelligent framework for modelling and active vibration control (AVC) of flexible structures. …”
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Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm
Published 2020“…Therefore, there is need to develop a reliable and precise model for streamflow forecasting. The precision of Artificial Intelligence (AI) models can be improved by using hybrid AI models which consist of coupled models. …”
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An Intelligent Process Model for Manufacturing System Optimization
Published 2012“…The paper aims to develop an intelligent modeling system using Microsoft Excel spreadsheet interface through mathematical language, mathematical reasoning and algorithms flow chart technique for manufacturing system optimization without human involvement. …”
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Design of Modeling Elements of Luoshan Shadow Puppets Creative Goods Based on Deep Learning
Published 2023“…Based on the design of modeling elements of Luoshan shadow puppets, this paper analyzes the characteristics of visual elements of shadow puppet creative goods, puts forward an intelligent design algorithm of shadow puppet creative goods based on DL, and explores the computer-aided shadow puppets modeling design strategy driven by artificial intelligence. …”
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Simulation and design of A DC-DC synchronous converter by intelligent optimization techniques
Published 2010“…The derived optimal parameters of the converter from Genetic Algorithm method are compared with those obtained using the other two intelligent techniques.…”
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Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0
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Final Year Project / Dissertation / Thesis -
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Cohesive token passing algorithm utilizing software agents
Published 2010“…In this paper, the limitation of Token Ring algorithm for IP networks in the context of intelligent processing has been researched extensively. …”
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ANFIS modelling of a twin rotor system using particle swarm optimisation and RLS
Published 2010“…The results show that the proposed technique has better convergence and better performance in modeling of a nonlinear process. The identified model is justified and validated in both time domain and frequency domain…”
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Proceeding Paper -
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Evaluating enhanced predictive modeling of foam concrete compressive strength using artificial intelligence algorithms
Published 2025“…Artificial intelligence algorithms have recently demonstrated their efficacy in accurately predicting concrete properties by optimizing mixing proportions and overcoming design limitations. …”
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Modeling of static and dynamic components of bio-nanorobotic systems
Published 2012“…The first modeling technique applies graph algorithms to compute a new set of optimal weighted structural properties of C60 and C70 fullerenes. …”
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Thesis -
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An Intelligent System Approach to the Dynamic Hybrid Robot Control
Published 1996“…The objective of this study was to solve the robot dynamic hybrid control problem using intelligent computational processes. In the course of problem- solving, biologically inspired models were used. …”
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