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Software effort estimation using machine learning technique
Published 2023“…Software engineering effort estimation plays a significant role in managing project cost, quality, and time and creating software. …”
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Performance of MIMO space-time coded system and training based channel estimation for MIMO-OFDM system
Published 2006“…Therefore in this part QR decomposition algorithm has been investigated as a solution. For doing so, the performance analysis between QR decomposition and LS algorithm in terms of MSE (Mean Square Error) and BER (Bit Error Rate) has been done using simulations software. …”
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A review article on software effort estimation in agile methodology
Published 2021“…Therefore, this study aimed to ascertain the software effort estimation method that is applied in Agile, the implementation approach, and the attributes that affect effort estimation. …”
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A review article on software effort estimation in agile methodology
Published 2021“…Therefore, this study aimed to ascertain the software effort estimation method that is applied in Agile, the implementation approach, and the attributes that affect effort estimation. …”
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Estimating Marine CSEM Responses Using Gaussian Process Regression Based on Synthetic Models
Published 2022“…By using MATLAB software, a two-dimensional (2D) GPR model is developed to estimate the marine CSEM responses at unobserved resistivities. …”
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Metaheuristic approach for optimizing neural networks parameters in battery state of charge estimation
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Multifunctional optimized group method data handling for software effort estimation
Published 2022“…Group Method of Data Handling (GMDH) algorithms have been widely used for modelling and identifying complex systems and potentially applied in software effort estimation. …”
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Improving modified cocomo ii artificial neural network using hyperbolic tangent activation function
Published 2017“…Software cost estimation is a complex and critical issue in software industry but it is an inevitable activity in the software development process. …”
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Optimizing filter parameters using particle swarm optimization / Nik Ahmad Nizam Nik Zainuddin
Published 2009“…Filter designers often have to calculate the best parameters to suit the filter specifications. Software is typically used to help estimate those values, but sometimes the parameter combination cannot yield perfect results. …”
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Development of an imputation technique - INI for software metric database with incomplete data
Published 2007“…In this paper, an imputation technique for imputing missing data based on global-local Modified Singular Value Decomposition (MSVD) algorithm, INI was proposed. This technique was used for estimating missing data in a software engineering database (PROMISE). …”
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Book Section -
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Parametric Cox’s Model for partly interval-censored data with application to AIDS studies
Published 2012“…Our proposal is easily implemented by using SAS software in the present of partly interval-censored data.…”
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Estimation of dielectric constant for various standard materials using microstrip ring resonator
Published 2017“…This paper presents simulation of the MRR to investigate frequency shift of materials for dielectric constant estimation using the CST STUDIO SUITE 2016 software. …”
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Vehicle detection for vision-based intelligent transportation systems using convolutional neural network algorithm
Published 2022“…Specifically, the paper utilized the YOLOv5s architecture coupled with k-means algorithm to perform anchor box optimization under different illumination levels. …”
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Machine learning techniques for reference evapotranspiration and rice irrigation requirements prediction: a case study of Kerian irrigation scheme, Malaysia
Published 2025“…The novelty of this paper is the application of machine learning techniques as an alternative to traditional methods and software solutions for estimating ETo and irrigation demand. …”
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Proving the efficiency of alternative linear regression model based on mean square error (MSE) and average width using aquaculture data
Published 2019“…The alternative method in this study is a combination of four methods, namely multiple linear regression method, the bootstrap method, a robust regression method and fuzzy regression through the construction of algorithms by using SAS software. Typically, the alternative method optimized by minimizing the mean square error (MSE) and average width. …”
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Proving the eficiency of Alternative Linear regression Model Based on Mean Square Error (MSE) and average width using aquaculture data
Published 2019“…The alternative method in this study is a combination of four methods, namely multiple linear regression method, the bootstrap method, a robust regression method and fuzzy regression through the construction of algorithms by using SAS software. Typically, the alternative method optimized by minimizing the mean square error (MSE) and average width. …”
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