Search Results - (( software aggregation method algorithm ) OR ( evolution optimization bat algorithm ))
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Multi-Swarm bat algorithm
Published 2023“…In this study a new Bat Algorithm (BA) based on multi-swarm technique called the Multi-Swarm Bat Algorithm (MSBA) is proposed to address the problem of premature convergence phenomenon. …”
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Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff
Published 2017“…Basically, the QEEA is based on the Time Domain (TD) and Frequency Domain (FD) scheduling where it is dependent on the QoS requirements to allocate resources. The proposed algorithm is compared against other scheduling algorithms, namely, the Channel and QoS Aware (CQA), Priority Set Scheduler (PSS), Proportional Fair (PF), Maximum Throughput (MT) and Blind Average Throughput (BAT). …”
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Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)
Published 2008“…Multi-objective Genetic Algorithms (MOGA) are an extension of Genetic Algorithms (GA) that does not require multiple objectives to be aggregated to one value. …”
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Proceeding Paper -
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A novel rank aggregation-based hybrid multifilter wrapper feature selection method in software defect prediction
Published 2021“…The first stage involves a rank aggregation-based multifilter feature selection (RMFFS) method that addresses the filter rank selection problem by aggregating individual rank lists from multiple filter methods, using a novel rank aggregation method to generate a single, robust, and non-disjoint rank list. …”
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Web cluster load balancing via genetic-fuzzy based algorithm
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A computational framework for predicting software quality-in-use from software reviews
Published 2015“…In the sentiment analysis area, we proposed an algorithm to classify and aggregate software review-sentences into QinU topics. …”
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Even-odd scheduling based energy efficient routing for wireless sensor network (WSN) / Muhammad Zafar Iqbal Khan
Published 2022“…Using the simulation software, it was observed that the alive nodes are higher in numbers i.e. 189 nodes after 500 rounds for the proposed routing algorithm compared to the previous methods which had only 150 alive nodes. …”
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Spatial Simulation for Flood Disaster Forecasting: A Geospatial Technology-based Group Analytic Hierarchy Process Approach
Published 2013“…In validating the robustness of the result, known Flood Extent Extraction Model developed based on a Neural Network Algorithm embedded in ENVI 4.8 software was used. …”
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Conference or Workshop Item -
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Investigation and analysis of crack detection using UAV and CNN: A case study of Hospital Raja Permaisuri Bainun
Published 2023“…Therefore, we conducted a real-world experiment of crack detection at Hospital Raja Permaisuri Bainun using DJI Mavic Air (Drone Hardware) and DJI GO 4(Drone Software) using CNN through MATLAB software with CNN-SVM method with the accuracy rate of 3.0 percent increased from 82.94% to 85.94%. in comparison with other ML algorithms like CNN Random Forest (RF), Support Vector Machine (SVM) and Artificial Neural Network (ANN).…”
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Multi-perspective usability evaluation with multi-criteria decision analysis for optimal selection of open-source software
Published 2021“…Most comprehensive and complex software packages are partitioned across multiple portals and involve many users — each with their own role in the software package. …”
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A maximal-clique-based clustering approach for multi-observer multi-view data by using k-nearest neighbor with S-pseudo-ultrametric induced by a fuzzy similarity
Published 2024“…The proposed clustering algorithm is programmed and tested on synthetic and four real-world datasets using the R software. …”
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Genetic case-based reasoning for improved mobile phone faults diagnosis
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Novel multi-perspective usability evaluation framework for selection of open source software based on BWM and group VIKOR techniques
Published 2021“…Most large and complex software packages partitioned across multiple portals and involve many users — each with their role in the software package; those users have different perspectives on the software package, defined by their knowledge, responsibilities, and commitments. …”
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