Engineering

Engineering

ISSN Print: 1947-3931
ISSN Online: 1947-394X
www.scirp.org/journal/eng
E-mail: eng@scirp.org
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[1] Stick-slip vibration in water-lubricated bearing-shaft system simulated in persistent homology-based machine learning model
2021
[2] Identification of aluminum alloy by laser‐induced breakdown spectroscopy combined with machine algorithm
2021
[3] Nonparametric regression model of autocorrelation problem in the general budget of Arab States through (2008-2020)
2021
[4] Assessing of soil erosion risk through geoinformation sciences and remote sensing—a review
Recent technologies for disaster management and …, 2021
[5] Estimation of basis weight, ash content and moisture content in papermaking plants: A comparative study
2020
[6] Enhancement spectral resolution for the prediction amount of sofosbuvir and ledipasvir using least squares support vector machine and artificial neural …
Journal of the Chilean …, 2019
[7] ENHANCEMENT SPECTRAL RESOLUTION FOR THE PREDICTION AMOUNT OF SOFOSBUVIR AND LEDIPASVIR USING LEAST SQUARES SUPPORT …
2019
[8] Data Processing Method of Multibeam Bathymetry Based on Sparse Weighted LS-SVM Machine Algorithm
2019
[9] ENHANCEMENT SPECTRAL RESOLUTION FOR THE PREDICTION AMOUNT OF SOFOSBUVIR AND LEDIPASVIR USING LEAST SQUARES SUPPORT VECTOR …
2019
[10] Reservoir Evaporation Prediction Modeling Based on Artificial Intelligence Methods
2019
[11] EasyChair Preprint
2018
[12] Application of PSO-LSSVM in Bias Correction of Shipborne Anemometer Measurement
2018
[13] Estimating daily reference evapotranspiration using hybrid gamma test-least square support vector machine, gamma test-ANN, and gamma test-ANFIS models in an …
2018
[14] Machine Learning Model for Predicting Evaporation Losses in Reservoirs
2018
[15] Identification accuracy improvement for steel species using a least squares support vector machine and laser-induced breakdown spectroscopy
Journal of Analytical Atomic Spectrometry, 2018
[16] Greenhouse Temperature and Humidity Estimator Design Based on Least Square SVM
REVUE DE L’ENTREPRENEURIAT ET DE L’INNOVATION, 2018
[17] Comparing Two Methods of Neural Networks to Evaluate Dead Oil Viscosity
2018
[18] Monthly long-term rainfall estimation in Central India using M5Tree, MARS, LSSVR, ANN and GEP models
Neural Computing and Applications, 2018
[19] Model-based control of a molten carbonate fuel cell (MCFC) process
Korean Journal of Chemical Engineering, 2018
[20] Development of Predictive Model based Control Scheme for a Molten Carbonate Fuel Cell (MCFC) Process
International Journal of Control, Automation and Systems, 2018
[21] Seepage criteria based optimal design of water retaining structures with reliability quantification utilizing surrogate model linked simulation-optimization …
2018
[22] Least-squares support vector machine and its application in the simultaneous quantitative spectrophotometric determination of pharmaceutical ternary mixture
2018
[23] Modeling when and where a secondary accident occurs
Accident Analysis & Prevention, 2018
[24] Usulan perbaikan kualitas dengan metode six sigma dan 5 spada proses produksi part top board holdes di PT. Denko wahana industries
2017
[25] PENGARUH VARIASI KADAR FLY ASH TERHADAP SIFAT MEKANIK SELF-COMPACTING FIBRE REINFORCED CONCRETE (SCFRC)
2017
[26] PERBANDINGAN METODE LEAST SQUARES SUPPORT VECTOR MACHINES DAN BACKPROPAGATION DALAM PERAMALAN INDEKS HARGA SAHAM …
2017
[27] New model for prediction binary mixture of antihistamine decongestant using artificial neural networks and least squares support vector machine by spectrophotometry …
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2017
[28] A comparative study of models for molten carbonate fuel cell (MCFC) processes
Korean Journal of Chemical Engineering, 2017
[29] New model for prediction binary mixture of antihistamine decongestant using artificial neural networks and least squares support vector machine by spectrophotometry …
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2017
[30] Incorporating a machine learning technique to improve open-channel flow computations
Neural Computing and Applications, 2017
[31] Global Warming Impacts on Hydrologic Extremes
2017
[32] Development of evaporation estimation methods for a reservoir in Gujarat, India
Journal‐American Water Works Association, 2016
[33] Regional Flood Frequency Analysis using Support Vector Regression under historical and future climate
Journal of Hydrology, 2016
[34] Utilizing RBF-NN and ANFIS Methods for Multi-Lead ahead Prediction Model of Evaporation from Reservoir
Water Resources Management, 2016
[35] Empirical Mode Decomposition with Least Square Support Vector Machine Model for River Flow Forecasting
Thesis, 2016
[36] THREE LAYER WAVELET BASED MODELING FOR RIVER FLOW
2016
[37] Development of Evaporation Estimation Methods for a Reservoir in Gujarat, India.
Journal‐American Water Works Association, 2016
[38] Partial Least Square-Support Vector Machine for Rapid Detection of Egg Storage Life by Chemometric Processing of Voltammetric Signals
2016
[39] 基于支持向量机的软件质量评价
计算机技术与发展, 2015
[40] LONG TERM ELECTRICITY CONSUMPTION FORECASTING USING COMPUTATIONAL INTELLIGENCE TECHNIQUES
2015
[41] Sistema Preventivo De Fallos En Bomba De Agua Mediante Señales De Audio Y Vibracion.
2015
[42] A Comparative Study Between Least Square Support Vector Machine (Lssvm) and Methods for the Measurement of Load Storing Capacity of Driven Piles in Cohesion Less Soil
International Journal of Structural and Civil Engineering Research, 2015
[43] Sistema preventivo de fallos en bomba de agua mediante señales de audio y vibración
2015
[44] A Hybrid Intelligent Multisensor Positioning Methodology for Reliable Vehicle Navigation
Mathematical Problems in Engineering, 2015
[45] Support Vector Machine Modeling Using Particle Swarm Optimization Approach for the Retrieval of Atmospheric Ammonia Concentrations
Environmental Modeling & Assessment, 2015
[46] Electric energy consumption of domestic sector in India
2014
[47] Estimation of Failure Rate in Water Distribution Network Using Fuzzy Clustering and LS-SVM Methods
Water Resources Management, 2014
[48] MULTI-OBJECTIVE SURROGATE BASED OPTIMIZATION OF GAS CYCLONES USING SUPPORT VECTOR MACHINES AND CFD SIMULATIONS
K Elsayed, C Lacor - wccm-eccm-ecfd2014.org, 2014
[49] Support vector machine applications in the field of hydrology: A review
Applied Soft Computing, Elsevier, 2014
[50] Optimization of the cyclone separator geometry for minimum pressure drop using Co-Kriging
Powder Technology, Elsevier, 2014
[51] Robust parameter design optimization using Kriging, RBF and RBFNN with gradient-based and evolutionary optimization techniques
Applied Mathematics and Computation, Elsevier, 2014
[52] The prediction research of steam reheating temperature in power plants based on LS-SVM
Eighth International Symposium on Multispectral Image Processing and Pattern Recognition. International Society for Optics and Photonics, 2013
[53] Modeling of tensile strength of rocks materials based on support vector machines approaches
?International Journal for Numerical and Analytical Methods in Geomechanics?, 2013
[54] Rainfall–runoff modeling using least squares support vector machines
Environmetrics, Wiley Online Library, 2012
[55] Multistep-ahead river flow prediction using LS-SVR at daily scale
Journal of Water Resource and Protection, 2012
[56] Self Organizing Map and Least Square Support Vector Machine Method for River Flow Modelling
2011
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