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Development of intelligent evaluation system for product end-of-life selection strategy
Published 2011“…The developed framework consists of several sub-objectives. …”
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Development Of Generative Computer-Aided Process Planning For Cnc Milling Parts_Pramodkumar S Kataraki
Published 2019“…The algorithm auto-generates exploded view of ODV, auto-labels the sub-delta volumes (SDVs) and determines the level of complexity to manufacture a part. …”
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Poverty Classification of Central Perak Population Using Machine Learning
Published 2019“…Network will be built using the weights of the selection of the best network. The best networks have been training on the sub-sub smaller dataset. …”
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Development Of Generative Computer-Aided Process Planning System For Lathe Machining
Published 2019“…To validate the generated tool-path, G-codes generated in media package file (MPF) file format and verified through CNC lathe machine. Indeed, the developed algorithm was able to determine the minimum unit production cost of lathe machining part model. …”
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Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game
Published 2015“…Henceforth, EP is introduced as a benchmarking algorithm and this created our last sub-objective. …”
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Process Sequencing Modeled as TSP with Precedence Constraints - A Genetic Algorithm Approach
Published 2014“…In this study a new genetic algorithm (GA) procedure is developed which includes chromosome’s repairing strategy based topological sort to handle the precedence constraints and to generate only feasible solution during the evolutionary process. …”
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DESIGN AND DEVELOPMENT OF HIGH-ACCURACY MACHINE FOR WIRE BENDING
Published 2023“…The main point depends on the proposed algorithm, which has been developed based on separating the process, in which the central controller is responsible mainly for controlling the sub-controller, where the sub-controllers are programmed using PID to control the entire mechanisms of feeding and bending separately and ensure that the outcomes of these mechanisms are compatible with the input data from the central controller. …”
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Review of the research landscape of multi-criteria evaluation and bench- marking processes for many-objective optimisation methods: coherent taxonomy, challenges and recommended so...
Published 2020“…Third, the development phase involves the creation of a decision matrix for MaOO selection on the basis of the integrated BWM and VIKOR method. …”
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Natural image noise level estimation based on local statistics for blind noise reduction
Published 2018“…In this study, a patch-based estimation technique is used to estimate for noise level and applies it to the proposed blind image denoising algorithm. Our approach includes selecting low-rank sub-image with removing high-frequency components from the contaminated image. …”
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Development of submergence tolerant rice variety through marker-assisted backcross breeding between MR219 and Swarna-Sub1
Published 2015“…Marker-assisted selection (MAS) is an effective approach than the conventional breeding for rice varietal development. …”
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Sequence analysis and homology modeling of mouse TRPV5 and TRPV6 channels / Azreena Izzaty Abd Manan
Published 2012“…In homology modeling method, the steps involved including selection of protein template, multiple sequence alignment of mouse TRPV5 and TRPV6 sequence with the protein template sequence by using the selected algorithms, transmembrane domain prediction, model development and finally, model comparison and evaluation. …”
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Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network
Published 2021“…Following the architecture selection phase, three sub-scenarios assumed from the number of hidden neurons; 15, 30 and 45 nodes were introduced into previous train-validate-test scenarios with chosen BR algorithm. …”
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Stack-run adaptive wavelet image compression using wavelet packets
Published 2007“…Due to the fact that our coder exploits the redundancies present within individual sub bands, its addressing complexity is much lower than that of the wavelet zerotree coding algorithms. …”
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Predetermined path of mobile data gathering in wireless sensor networks based on network layout
Published 2014“…Extensive discrete-event simulations have been developed to assess the performance of the proposed algorithm. …”
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SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid
Published 2017“…There were two sets of algorithms in developing the UPLRB ANN model and every algorithm set consisted of model inputs data preparation, neural network script and neural network error checking measures. …”
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Development of a Reliable Multicast Protocol in Mobile Ad Hoc Networks
Published 2008“…The first algorithm is developed to avoid the buffer overflow in the FS nodes. …”
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An improved directed random walk framework for cancer classification using gene expression data
Published 2020“…Sub-algorithms of SDW can be further divided into data pre-processing phase, specific tuning parameter selection, weight as additional variable, and exclusion of unwanted adjacency matrix. …”
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