Search Results - (( _ distribution svm algorithm ) OR ( user evaluation ((new algorithm) OR (bat algorithm)) ))
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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“…In terms of number of users in the cell, the algorithm could achieve up to 240% of maximum throughput, 61% reduction in ECR and 150% improvement in EE. …”
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…This research will conduct comparison of hybrid Genetic Algorithm and Bat Algorithm (GA-BA) with Genetic Algorithm (GA) and Bat Algorithm (BA). …”
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Academic Exercise -
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Parallel execution of distributed SVM using MPI (CoDLib)
Published 2023Subjects: “…Distributed SVM…”
Conference paper -
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Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm
Published 2023Subjects:Conference Paper -
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Forecasting FTSE Bursa Malaysia KLCI Trend with Hybrid Particle Swarm Optimization and Support Vector Machine Technique
Published 2013“…The SVM algorithm uses the Radial Basis Function (RBF) kernel function and optim ization of the gam ma and large margin parameters are done using the PSO algorithm. …”
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Conference or Workshop Item -
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Oil palm mapping over Peninsular Malaysia using Google Earth Engine and machine learning algorithms
Published 2020“…However, RF extracted oil palm information better than the SVM. The algorithms were compared and the McNemar's test showed significant values for comparisons between SVM and CART and RF and CART. …”
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DESIGN AND EVALUATION OF RESOURCE ALLOCATION AND JOB SCHEDULING ALGORITHMS ON COMPUTATIONAL GRIDS
Published 2012“…The issue is not only to develop new algorithms, but also to evaluate them on an experimental computational grid, using synthetic and real workload traces, along with the other existing job scheduling algorithms. …”
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A new dynamic code assignment algorithm for joint CDMA and SDMA system
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A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem
Published 2016“…The main keys of the new classifier are based on the new kernel method, new learning metric and a new optimization algorithm in order to optimize the SVM decision function. …”
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Evaluation of cloud brokering algorithms in cloud based data center
Published 2015“…In this paper, two new cloud brokering algorithms, and their initial evaluation, are proposed.…”
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Fault classification in smart distribution network using support vector machine
Published 2023“…In this paper, a machine-learning algorithm known as Support Vector Machine (SVM) for fault type classification in distribution system has been developed. …”
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Recommendation System Model For Decision Making in the E-Commerce Application
Published 2024thesis::doctoral thesis -
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VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…This is difTerent from existing Interactive Genetic Algorithm in which selection and evaluation of solutions is done by the users. …”
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A comparative analysis of LSTM, SVM, and GSTANN models for enhancing solar power prediction
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Proceeding Paper -
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Performance evaluation and enhancement of EDCA protocol to improve the voice capacity in wireless network
Published 2017“…Therefore, in this research work a new algorithm was proposed to enhance the capacity of the EDCA protocol and increase the number of the active voice users. …”
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Evaluation of Current Music Synthesis Software for Rendering of Various Synthesis Algorithms
Published 2000“…For experienced users, Csound is preferred over Cool Edit Pro. Conclusions drawn from this research finding is that different software approaches fulfill different kinds of user expectations depending on user experience.…”
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Content-based recommender system for an academic social network / Vala Ali Rohani
Published 2014“…In its formulation, the algorithm considers the interests and preferences of users’ friends and faculty mates in addition to users’ own preferences. …”
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Performance Evaluation Of Space Vector Modulation (SVM) For Multilevel Inverters
Published 2016“…In such way, the computational burden can be minimized as the SVM tasks are distributed into two parts, in which every part is executed by a single controller. …”
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