Search Results - (( variable generation gap algorithm ) OR ( java application optimisation algorithm ))
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance
Published 2019“…Several research efforts have been developed to generate optimal operation rules for dam and reservoir systems utilizing different optimization algorithms. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Toward bridging future irrigation deficits utilizing the shark algorithm integrated with a climate change model
Published 2023“…Climate change model results were utilized by the shark algorithm to generate an optimal operation rule for dam and reservoir water systems to minimize the gap between water supply and demand for irrigation purposes. …”
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Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia
Published 2025“…This study managed to fill in the gap of using GPR for predicting municipal solid waste generation. …”
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A Clustering Algorithm for Evolving Data Streams Using Temporal Spatial Hyper Cube
Published 2023“…However, it is found that the static assumption of the data summarization impacts the quality of clustering. To fill this gap, an online clustering algorithm for handling evolving data streams using a tempo?…”
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Variable Neighborhood Descent and Whale Optimization Algorithm for Examination Timetabling Problems at Universiti Malaysia Sarawak
Published 2025“…The model employs a two-level structure, where the first level uses standard soft constraints as the objective function to evaluate solution quality, while the second level dynamically adapts to faculty-specific preferences. A constructive algorithm was developed to generate an initial feasible solution, which was subsequently refined using two primary approaches to evaluate their efficiency: Iterative Threshold Pipe Variable Neighborhood Descent (IT-PVND), and a modified Whale Optimization Algorithm (WOA). …”
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Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model
Published 2014“…Such conflicting goals arise when switching between different products. A genetic algorithm (GA) approach is used to solve this problem, in which trapezoidal fuzzy numbers are implemented for variables such as operation and travelling time in order to generate results with higher accuracy and representative of real-case data.…”
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Climate change impact on hydrological, sediment, and nutrient in Langat River basin: an assessment using integrated model / Nor Faiza Abd Rahman
Published 2019“…Regional daily weather variables were generated with XLs2Ncascii model that preserved the spatial and temporal dependencies and adequately reproduced statistics of the historic weather variables in the upper part of Langat River Basin. …”
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Performance Modeling And Size Optimization Of A Standalone Photovoltaic System
Published 2013“…The analysis reveals that the power generated by SAPV systems will help to avoid 111 tonnes of CO2 to the atmosphere as compared to a 5kW rated power diesel generator with a load demand of 6.3kW/day. …”
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Development of collision avoidance warning system for heavy vehicles featuring adaptive minimum safe distance / Airul Sharizli Abdullah
Published 2017“…To represent the adaptive minimum safe distance which will be used in activation algorithm for CAWS, the new distance-based CAWS model, namely Minimum Safe Distance Gap (MSDG) is introduced. …”
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A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings
Published 2015“…The major objective of this study is to review, identify, evaluate and analyze the performance of Artificial Intelligence (AI) based load forecast models and research gaps. The accuracy of ANN based forecast model is found to be dependent on number of parameters such as forecast model architecture, input combination, activation functions and training algorithm of the network and other exogenous variables affecting on forecast model inputs. …”
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An improved mobility state detection mechanism for femtocells in LTE networks
Published 2022“…This research investigates energy efficiency for femtocell mobility state detection algorithms to increase the QoS in LTE and advanced LTE networks (5G/6G networks). …”
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An improved mobility state detection mechanism for femtocells in LTE networks
Published 2022“…This research investigates energy efficiency for femtocell mobility state detection algorithms to increase the QoS in LTE and advanced LTE networks (5G/6G networks). …”
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An improved mobility state detection mechanism for femtocells in LTE networks
Published 2022“…This research investigates energy efficiency for femtocell mobility state detection algorithms to increase the QoS in LTE and advanced LTE networks (5G/6G networks). …”
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Development of robust procedures for partial least square regression with application to near infrared spectral data
Published 2021“…In the PLSR model there is no variable selection procedure that able to remove the irrelevant wavelengths. …”
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