Search Results - (( developing green pattern algorithm ) OR ( java implication based algorithm ))
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Forecast innovative development level in green supply chains using a comprehensive fuzzy algorithm
Published 2022“…Technology advancements are essential to creating a successful green supply chain. Both internal and external features can influence a business's innovative development; thus, there must be relationships between these aspects for Innovative Development to succeed. …”
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Characterization of Pattern for Predicting Ultra Violet (UV) Effects in Environment Data Management System (EDMS)
Published 2013“…The result of the measurement exercises produced various patterns, each with unique identification for developing database pattern algorithm. …”
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Software reusability in green computing / Ibraheem Y. Y. Ahmaro
Published 2013“…It can be discerned that the main software reusability approaches used in the IT industry include design patterns, component-based development and application frameworks. …”
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Green network planning and operational power consumption optimization in LTE-A using artificial intelligence
Published 2015“…A cascaded multi-objective genetic algorithm network optimization (CMOGANO) is developed to optimize the network number of base station, their location and configuration in the first stage to provide full coverage. …”
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A green clustering protocol for mobile sensor network using particle swarm optimization
Published 2016“…In this paper, we propose a green clustering protocol for mobile sensor networks using particle swarm optimization (PSO) algorithm. …”
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A green clustering protocol for mobile sensor network using particle swarm optimization
Published 2016“…In this paper, we propose a green clustering protocol for mobile sensor networks using particle swarm optimization (PSO) algorithm. …”
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Urban green space spatio-temporal change influences on land surface temperature in Kuala Lumpur, Malaysia
Published 2020“…Thirdly, to develop an automated spatial prediction model that could potentially predict the UGS changes and their effect on the LST pattern. …”
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Image clustering comparison of two color segmentation techniques
Published 2010“…The appropriate Java codes are developed for solve this task. The developed patterns are applied in the field of real-time analysis. …”
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Monitoring urban green space (UGS) changes by using high resolution aerial imagery: a case study of Kuala Lumpur, Malaysia
Published 2019“…The study used available aerial imagery data for 2002, 2012, and 2017, and database record of green space. The study had classified UGS by using the Support Vector Machine (SVM) algorithm. …”
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Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant
Published 2007“…In this research, a vision system algorithm has been developed to identify and locate base of young corn trees based upon robot vision technology, pattern recognition techniques, and knowledge-based decision theory. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Automated detection of microaneurysm for fundus images
Published 2016“…Thus, the objectives of this study are to develop an automated algorithm to perform early detection of MA presence in fundus images, and to evaluate the performance of the proposed system design by evaluating the accuracy of the segmented MA. …”
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Competition and cooperation in colour-word Stroop effect: An association approach
Published 2009“…The Hopfield network is chosen for several reasons; we address the Stroop phenomenon as an association problem, the competition and cooperation of Stroop stimuli meets the pattern processing nature of the Hopfield network and the recall algorithm in Hopfield is biologically realistic.We have shown that, with a relatively simple but biologically plausible neural network of a single Hopfield network, our model is also able to predict the Stroop effect in comparison to the human performance.…”
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Classification of compressive strength grades for lightweight aggregate concrete with palm oil fuel ash (POFA) using kNearest Neighbour (k-NN)
Published 2023“…To address these shortcomings, a technique to classify the compressive strength grades for lightweight aggregate concrete containing POFA using a machine learning algorithm has been developed. In terms of method, concrete mixtures consisting of POFA, cement, sand, superplasticizer and water were prepared and tested to determine the compressive strength. …”
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Classification of compressive strength grades for lightweight aggregate concrete with palm oil fuel ash (POFA) using k-Nearest Neighbour (k-NN)
Published 2023“…To address these shortcomings, a technique to classify the compressive strength grades for lightweight aggregate concrete containing POFA using a machine learning algorithm has been developed. In terms of method, concrete mixtures consisting of POFA, cement, sand, superplasticizer and water were prepared and tested to determine the compressive strength. …”
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