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Prediction of Machine Failure by Using Machine Learning Algorithm
Published 2019“…Then, the data is cluster by using K Means to produce labeled input that will be trained by using Gradient Boosting Machine, a decision tree algorithm to make prediction. The columns consist of the variables that record the reading of machine sensor tags. …”
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Final Year Project -
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Workload utilization dissemination on grid resources for simulation environment
Published 2013“…The selection of resource variables and the number of RI's involved will result in different definitions of the workload. …”
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Conference or Workshop Item -
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Optimization Algorithms: A Comparison Study for Scheduling Problem at UIN Raden Fatah's Sharia and Law Faculty
Published 2024“…The rapid advancement of information and communication technology significantly impacts various sectors, including education, by enhancing administrative and academic processes through sophisticated algorithms and systems. …”
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Neighbour-based on-demand routing algorithms for mobile ad hoc networks
Published 2017“…The dropping decision of the redundant RREQ in the NCPR algorithm completely relies on preset variables, such variables require to be set by the system administrator based on the scenario. …”
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Thesis -
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The Implementation of Genetic Algorithm in Path Optimization
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Final Year Project -
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Google the earth: what's next?
Published 2010“…As the demand for even faster, better and more temporally and spatially variable information grows dramatically, this lectures answers the question of what remote sensing will be like in the coming decades and the new capabilities and challenges that will emerge…”
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Selection of prospective workers using profile matching algorithm on crowdsourcing platform
Published 2022“…These criteria become variables that are used in the profile matching algorithm to find workers who best match the profiles offered. …”
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Conference or Workshop Item -
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Applying machine learning and particle swarm optimization for predictive modeling and cost optimization in construction project management
Published 2024“…The Voting regression, which leverages the collective predictive power of multiple models, exhibits superior performance in comparison to individual algorithms. Feature selection methods play a crucial role in identifying the variables that have a significant impact on project costs. …”
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Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models
Published 2019“…There was not enough information available on the implementation of neural networks and genetic algorithm for the prediction and selecting input variables in oil palm yield and output energy. …”
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Simple realization of 5-Segment discontinuous SVPWM based on FPGA
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Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment
Published 2017“…The proposed strategy is dependent on modified Zimmermanns approach for handling all inexact operating costs, data capacities, and demand variables. The SD algorithm is employed to balance exploitation and exploration in MSA, thereby resulting in efficient and effective (speed and quality) solution for the APP model. …”
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Thesis -
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Consumers' intention to use e-money mobile using the decomposed theory of planned behavior
Published 2016“…In particular, it is simultaneously assesses the determinants of consumers’ intention to use e-money mobile in Indonesia which examines twelve (12) variables. The variables are attitude, awareness, subjective norm, perceived behavioral control, perceived risk, perceived security, relative advantage, complexity, social-cultural influence, family, self-confidence, and resources facilitating conditions. …”
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Thesis -
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Determinants to knowledge transfer and sharing in multimedia super corridor in Malaysia : the mediating role of trust
Published 2016“…The results also revealed that the direct relationships between organizational capacity (human resource practices), and organizational environment (information technology, networks) were significantly related to trust. …”
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Thesis -
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Performance evaluation of lightweight Crypto functions for Internet of things applications
Published 2020“…In addition, the paper highlights the need for a new one-way hash function which supports variable transformation and variable block length size to suit several applications.…”
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Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the Himalayan region
Published 2024“…Secondly, the research systematically assesses the effectiveness of different algorithms to identify the most precise method for establishing any potential relationship between field-measured AGB and predictor variables. …”
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