Search Results - "regression _ algorithm"

Modeling the optical properties of a polyvinyl alcohol-based composite using a particle swarm optimized support vector regression algorithm by Abd Rahman, Mohd Amiruddin, Owolabi, Taoreed O.

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A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms by Ghazvini, Anahita, Mohd Sharef, Nurfadhlina, Balasundram, Siva Kumar, Lee, Lai Soon

“…This research embarks on an exploration of the synergy between precision agriculture, crop modeling, and regression algorithms to create a digital twin for farmers to augment the concentration and composition prediction-based crop nutrient recovery. …”
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Predicting subgrade resistance value of hydrated lime-activated rice husk ash-treated expansive soil: a comparison between M5P, support vector machine, and gaussian process regression algorithms by Ahmad, Mahmood, Alsulami, Badr T., Al-Mansob, Ramez, Legori Ibrahim, Saerahany, Keawsawasvong, Suraparb, Majdi, Ali, Ahmad, Feezan

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A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms by Mohd Sharef, Nurfadhlina, Balasundram, Siva Kumar, Lai, Soon Lee, Ghazvini, Anahita

“…This pa-per presents two approaches, namely, (i) single-nutrient concentration prediction and (ii) nutrient composition concentration prediction, which is the result of a predictive digital twin case study that employs six regression algorithms, namely, Elastic Net, Polynomial, Stepwise, Ridge, Lasso, and Linear Regression, to predict rice nutrient content efficiently, particularly considering the co-existence and composition of multiple nutrients. …”
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Improved nu-support vector regression algorithm based on principal component analysis by Abdullah Mohammed, Rashid, Habshah, Midi

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Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman by Abdurahman, Nur Athirah

“…The study focuses on the application of the Linear Regression algorithm to predict sales outcomes based on advertising spending patterns. …”
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The Effect Of Linkages In The Hierarchical Clustering Of Auto-Regressive Algorithm For Defect Identification In Heat Exchanger Tubes by Abd Halim, Zakiah, Jamaludin, Nordin, Putra, Azma

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TOPSIS-based Regression Algorithms Evaluation by Abu-Shareha, Ahmad Adel

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AI recommendation penetration testing tool for SQL injection: linear regression by Ahmad Fuad, Norshahira Elliyana, Saad, Shahadan

“…In conclusion, the objective of this project is success because the linear regression algorithm was able to be insert in the penetration testing framework.…”
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A self-organizing approach: Time synchronization for the HeNodeBs in heterogeneous network by Hasan M.K., Ismail A.F., Abdalla A.H., Ramli H.A.M., Hashim W., Razzaque A., Khairolanuar M.H.

“…Femtocell; Heterogeneous networks; Internet; Internet protocols; Mobile telecommunication systems; Standards; Synchronization; HeNodeB; Heterogeneous Network (HetNet); IEEE 1588; Linear regression algorithms; LTE/LTE-Advanced; Message transmissions; Self-organizing approaches; Self-organizing method; Wireless telecommunication systems…”

Differential Search Optimized Random Forest Regression Algorithm for State of Charge Estimation in Electric Vehicle Batteries by Hossain Lipu M.S., Hannan M.A., Hussain A., Ansari S., Ayob A., Saad M.H.M., Muttaqi K.M.

“…Battery management systems; Charging (batteries); Data handling; Decision trees; Digital storage; Electric vehicles; Learning algorithms; Lithium-ion batteries; Machine learning; Differential search algorithm; Electric vehicle batteries; Lithium ions; Lithiumion battery; Random forest regression; Random forests; Regression algorithms; Search Algorithms; State-of-charge estimation; States of charges; Regression analysis…”

Real-Time State of Charge Estimation of Lithium-Ion Batteries Using Optimized Random Forest Regression Algorithm by Hossain Lipu M.S., Hannan M.A., Hussain A., Ansari S., Rahman S.A., Saad M.H.M., Muttaqi K.M.

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Optimization and prediction of battery electric vehicle driving range using adaptive fuzzy technique by Abulifa, Abdulhadi Abdulsalam

“…The work in this thesis is expected to be the best approach in formulating an adaptive fuzzy technique based on brute force and regression algorithms for optimization and prediction of EMS in BEV application.…”
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Determining the graduates employability using data analytics model by Matos Jr., Zenon A.

“…These studies used a data analytics model to forecast the employability of graduates using the linear regression algorithm and the SMOreg algorithm, predict the number of graduates in the next 3 years in the BS Information Technology program, and determine the percentage of graduates who are employed and unemployed using the data sourced from the tracer study conducted. …”
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Trend analysis of software engineering scientific publications by Tengku Nadzirah, Tengku Majani

“…The estimation of the future trend is done by development of the algorithm linear regression algorithm in Matlab. With data collected from the main Science Direct database with of Software Engineering keywords, validation of the proposed algorithms on the case study was done. …”
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Integration of spectroscopy and chemometric analysis for food authentication: a review by Basri, Katrul Nadia

“…This paper reviews various types of classification and regression algorithms in chemometric analysis to demonstrate the capabilities of these algorithms for use in food authentication processes. …”
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Machine learning-based leukemia classification using gene expression for accurate diagnosis by Mahmoud, Amena, Talpur, Kazim Raza, Saini, Shilpa, Talpur, Bandeh Ali, Shah, Asadullah, Zaki, John

“…It is observed that the proposed model for leukemia classification has an accuracy of 97% using SVM algorithm whereas 94% is using Logistic regression algorithm.…”
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Advanced flood prediction at forest with rainfall data using various machine learning algorithms by M.S., Saravanan, S., Sivashankar, A., Rajesh, Mat Ibrahim, Masrullizam

“…It has a high accuracy of 50.35%, in comparison with the Logistic Regression algorithm 45.96%. The significant values have been statistically defined with the value of (p< 0.001). …”
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FAILURE PREDICTION OF ENGINEERING PROBLEMS USING INTERACTIVE COMPUTING NOTEBOOK ENVIRONMENT by FLORINA LING, CASTELO

“…Prediction model built based on regression problem using dimensionality reduction method and regression algorithms. Dimensionality reduction would extract only important features for more accurate prediction. …”
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Statistical modeling via bootstrapping and weighted techniques based on variances by Wan Ahmad, Wan Muhamad Amir, Aleng, Nor Azlida, Ali, Z, Mohd Ibrahim, Mohamad Shafiq

“…This data will be applied to the multiple logistic regression algorithm and modified Bayesian logistic regression. …”
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