Search Results - (( model selection method algorithm ) OR ( based construction cost algorithm ))
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Accuracy assessment of Digital Terrain Model (DTM) Constructed Cloth Simulation Filter (CSF) and Multi Curvature Classification (MCC) algorithm on UAV LiDAR dataset / Mohamad Khair...
Published 2023“…Two algorithms, the Cloth Simulation Filter (CSF) in CloudCompare and the Multiscale Curvature Classification (MCC) in Global Mapper, were tested for this purpose. …”
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Student Project -
2
Research on the construction of an efficient and lightweight online detection method for tiny surface defects through model compression and knowledge distillation
Published 2024“…Channel pruning and layer pruning are applied to the sparse model, and post-processing methods using knowledge distillation are used to effectively reduce the model size and forward inference time while maintaining model accuracy. …”
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Article -
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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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Thesis -
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Feedforward neural network for solving particular fractional differential equations
Published 2024“…Then, a single hidden layer of FNN based on Chelyshkov polynomials with an extreme learning machine algorithm (SHLFNNCP-ELM) is constructed for solving FDEsC. …”
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Thesis -
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An enhanced supplier selection model based on optimized analytic network process towards sustainable information technology outsourcing
Published 2022“…Therefore, this study proposes an Enhanced Supplier Selection Model (ESS) for sustainable ITO mainly to eliminate human judgment in Analytical Network Process (ANP) method. …”
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Thesis -
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Linear programming approach for scheduling sports league problems in Malaysia
Published 2017“…In order to solve the formulated LP model, we proposed several solution methods such as simplex and genetics algorithm. …”
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Thesis -
7
A comparative study on aviation arrival delay prediction using machine learning methods
Published 2023“…Considering the afore-mentioned model building methods for both approaches, ANN model using stepwise regression approach performs the best for flight arrival delay prediction based on F1 score. …”
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Thesis -
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Channel assignment and congestion control in multi-radio multi-channel wireless mesh networks
Published 2015“…OMNET++ simulation tool and graph theory concept have been used to model the network. The algorithm does not allow the node to switch to the channels in which non-intended nodes are operating. …”
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Thesis -
9
Artificial intelligence-driven anticancer peptide discovery
Published 2025“…Therefore, we presented a comprehensive ACP screening framework based on AI models. The presented framework includes data collection and organization, feature extraction, model construction, model interpretability analysis, and experimental validation. …”
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Article -
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Iterative Simulation-Based Design of a Multi Input Controller for a Hybrid Renewable Energy System
Published 2021“…The design applies an algorithm to implement an object-oriented finite-state machines model constructed from Simulink to obtain a multiple-input single-output profile. …”
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Thesis -
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Cryptanalysis on the modulus N=p2q and design of rabin-like cryptosystem without decryption failure
Published 2015“…In this thesis, we also develop a new cryptographic hard problem based on a special instance of a linear Diophantine equation in two variables, with some provided restrictions and carefully selected parameters. …”
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Thesis -
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Multiple equations model selection algorithm with iterative estimation method
Published 2016“…In particular, an algorithm on model selection for seemingly unrelated regression equations model using iterative feasible generalized least squares estimation method is proposed. …”
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Article -
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A new history matching sensitivity analysis framework with random forests and Plackett-Burman design
Published 2017“…The one-parameterat- a-time method requires 21 samples, and the selected top 4 parameters from this method are mainly fault transmissibilities. …”
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Article -
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Opposition-Based Learning Binary Bat Algorithm as Feature Selection Approach in Taguchi's T-Method
Published 2024Subjects:Conference Paper -
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Model selection approaches of water quality index data
Published 2016“…Automatic model selection by using algorithm can avoid huge variability in model specification process compared to manual selection.With the employment of algorithm, the right model selected is then also used for forecasting purposes. …”
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Article -
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Multi-base number representation in application to scalar multiplication and pairing computation
Published 2011“…Multi-bases number representation is used to construct new versions of Miller’s algorithm. …”
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Thesis -
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Sure (EM)-Autometrics: An Automated Model Selection Procedure with Expectation Maximization Algorithm Estimation Method (S/O 14925)
Published 2021“…Hence, this study concentrates on an automated model selection procedure for the SURE model by integrating the expectation-maximization (EM) algorithm estimation method, named SURE(EM)-Autometrics. …”
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Monograph -
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Deterministic Mutation-Based Algorithm for Model Structure Selection in Discrete-Time System Identification
Published 2011“…Evolutionary computation (EC) is known to be an effective search and optimization method and in this paper EC is proposed as a model structure selection algorithm. …”
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Article -
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Parameter estimation of cocomo model using the jaya algorithm for software cost estimation
Published 2019“…To date, many techniques have been proposed to help the software engineer determine the actual software cost. This thesis proposed the Jaya algorithm based on estimation of the software based on the COCOMO I model. …”
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Undergraduates Project Papers -
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On the Computational Cost of Cocks’ Identity Based Encryption
Published 2018“…The first Identity Based Encryption scheme was constructed in 2001 based on elliptic curves and with pairings. …”
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