Pijush Samui̇
#141,397
Most Influential Person Now
Pijush Samui̇'s AcademicInfluence.com Rankings
Pijush Samui̇computer-science Degrees
Computer Science
#6804
World Rank
#7169
Historical Rank
Algorithms
#248
World Rank
#251
Historical Rank
Download Badge
Computer Science
Why Is Pijush Samui̇ Influential?
(Suggest an Edit or Addition)Pijush Samui̇'s Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area. (2019) (194)
- Support vector machine applied to settlement of shallow foundations on cohesionless soils (2008) (172)
- A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping (2019) (159)
- Slope stability analysis: a support vector machine approach (2008) (159)
- Machine learning modelling for predicting soil liquefaction susceptibility (2011) (150)
- Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models (2021) (125)
- Utilization of a least square support vector machine (LSSVM) for slope stability analysis (2011) (117)
- Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models (2016) (113)
- Assessment of pile drivability using random forest regression and multivariate adaptive regression splines (2019) (102)
- Application of Artificial Intelligence to Maximum Dry Density and Unconfined Compressive Strength of Cement Stabilized Soil (2011) (96)
- Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area (2020) (86)
- A Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Floods in Tropical Areas Using Sentinel-1 SAR Imagery and Geospatial Data (2018) (82)
- Multivariate Adaptive Regression Spline (Mars) for Prediction of Elastic Modulus of Jointed Rock Mass (2013) (79)
- Application of support vector machine and relevance vector machine to determine evaporative losses in reservoirs (2012) (67)
- Spatial pattern analysis and prediction of forest fire using new machine learning approach of Multivariate Adaptive Regression Splines and Differential Flower Pollination optimization: A case study at Lao Cai province (Viet Nam). (2019) (62)
- Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors (2018) (61)
- A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil (2021) (61)
- Modelling the energy performance of residential buildings using advanced computational frameworks based on RVM, GMDH, ANFIS-BBO and ANFIS-IPSO (2021) (60)
- Compressive strength prediction of high-performance concrete using gradient tree boosting machine (2020) (59)
- Uplift capacity of suction caisson in clay using multivariate adaptive regression spline (2011) (57)
- Determination of ultimate capacity of driven piles in cohesionless soil: A Multivariate Adaptive Regression Spline approach (2012) (56)
- Seismic liquefaction potential assessment by using Relevance Vector Machine (2007) (56)
- Prediction of swelling pressure of soil using artificial intelligence techniques (2010) (56)
- Forecasting monthly precipitation using sequential modelling (2019) (56)
- Multivariate Adaptive Regression Spline and Least Square Support Vector Machine for Prediction of Undrained Shear Strength of Clay (2012) (53)
- Prediction of Field Hydraulic Conductivity of Clay Liners Using an Artificial Neural Network and Support Vector Machine (2012) (52)
- A new intelligence approach based on GIS-based Multivariate Adaptive Regression Splines and metaheuristic optimization for predicting flash flood susceptible areas at high-frequency tropical typhoon area (2019) (51)
- Particle Swarm Optimization Algorithm-Extreme Learning Machine (PSO-ELM) Model for Predicting Resilient Modulus of Stabilized Aggregate Bases (2019) (51)
- Application of soft computing techniques for shallow foundation reliability in geotechnical engineering (2021) (50)
- Stability determination for layered soil slopes using the upper bound limit analysis (2006) (50)
- OCR Prediction Using Support Vector Machine Based on Piezocone Data (2008) (49)
- Prediction of compressive strength of self-compacting concrete using least square support vector machine and relevance vector machine (2014) (49)
- Support vector regression based models to predict fracture characteristics of high strength and ultra high strength concrete beams (2013) (49)
- Utilization relevance vector machine for slope reliability analysis (2011) (48)
- A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine (2020) (48)
- Prediction of friction capacity of driven piles in clay using the support vector machine (2008) (47)
- ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions (2021) (46)
- Site Characterization Model Using Artificial Neural Network and Kriging (2010) (46)
- Forecasting heating and cooling loads of buildings: a comparative performance analysis (2020) (45)
- Hourly River Flow Forecasting: Application of Emotional Neural Network Versus Multiple Machine Learning Paradigms (2020) (44)
- A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility (2020) (41)
- Lake Water-Level fluctuations forecasting using Minimax Probability Machine Regression, Relevance Vector Machine, Gaussian Process Regression, and Extreme Learning Machine (2019) (41)
- Least‐square support vector machine applied to settlement of shallow foundations on cohesionless soils (2008) (41)
- Forecasting Evaporative Loss by Least-Square Support-Vector Regression and Evaluation with Genetic Programming, Gaussian Process, and Minimax Probability Machine Regression: Case Study of Brisbane City (2017) (39)
- Predicting permeability of tight carbonates using a hybrid machine learning approach of modified equilibrium optimizer and extreme learning machine (2021) (38)
- Comparison of machine learning techniques to predict compressive strength of concrete (2018) (38)
- Efficient computational techniques for predicting the California bearing ratio of soil in soaked conditions (2021) (36)
- Genetic-Algorithm-Optimized Sequential Model for Water Temperature Prediction (2020) (35)
- Novel application of adaptive swarm intelligence techniques coupled with adaptive network-based fuzzy inference system in predicting photovoltaic power (2021) (35)
- Uplift Capacity of Suction Caisson in Clay Using Artificial Intelligence Techniques (2013) (35)
- Support vector machine for evaluating seismic-liquefaction potential using shear wave velocity (2011) (32)
- Least square support vector machine and multivariate adaptive regression spline for modeling lateral load capacity of piles (2013) (32)
- Least Square Support Vector Machine Applied to Slope Reliability Analysis (2013) (31)
- A novel integrated approach of augmented grey wolf optimizer and ANN for estimating axial load carrying-capacity of concrete-filled steel tube columns (2022) (31)
- A novel improved Harris Hawks optimization algorithm coupled with ELM for predicting permeability of tight carbonates (2021) (30)
- Predicting stable alluvial channel profiles using emotional artificial neural networks (2019) (30)
- Application of statistical learning algorithms to ultimate bearing capacity of shallow foundation on cohesionless soil (2012) (29)
- Machine learning techniques applied to prediction of residual strength of clay (2011) (28)
- Spatial Variability of Rock Depth in Bangalore Using Geostatistical, Neural Network and Support Vector Machine Models (2008) (28)
- Reliability Analysis of Pile Foundation Using ELM and MARS (2018) (27)
- Prediction of rapid chloride permeability of self-compacting concrete using Multivariate Adaptive Regression Spline and Minimax Probability Machine Regression (2020) (27)
- Least square support vector machine and relevance vector machine for evaluating seismic liquefaction potential using SPT (2011) (27)
- Artificial Neural Network Prediction of Stability Numbers for Two-layered Slopes with Associated Flow Rule (2006) (27)
- Modeling of tensile strength of rocks materials based on support vector machines approaches (2013) (26)
- Multivariate adaptive regression spline (MARS) and least squares support vector machine (LSSVM) for OCR prediction (2012) (25)
- Prediction of pile bearing capacity using support vector machine (2011) (25)
- Predicting the thermal conductivity of soils using integrated approach of ANN and PSO with adaptive and time-varying acceleration coefficients (2022) (24)
- Reliability Analysis of Pile Foundation Using Soft Computing Techniques: A Comparative Study (2021) (24)
- Application of Relevance Vector Machine for Prediction of Ultimate Capacity of Driven Piles in Cohesionless Soils (2012) (24)
- Genetic prediction of ICU hospitalization and mortality in COVID‐19 patients using artificial neural networks (2022) (23)
- Hybrid ensemble soft computing approach for predicting penetration rate of tunnel boring machine in a rock environment (2021) (22)
- Prediction of Compressive Strength of Self-Compacting Concrete Using Intelligent Computational Modeling (2018) (22)
- Spatial variability of rock depth using adaptive neuro-fuzzy inference system (ANFIS) and multivariate adaptive regression spline (MARS) (2015) (22)
- Prediction of Rainfall Using Support Vector Machine and Relevance Vector Machine (2011) (21)
- Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests (2021) (21)
- Application of soft computing methods in predicting uniaxial compressive strength of the volcanic rocks with different weathering degree (2020) (21)
- Determination of liquefaction susceptibility of soil: a least square support vector machine approach (2013) (20)
- Determination of compressive strength using relevance vector machine and emotional neural network (2019) (20)
- Efficient soft computing techniques for the prediction of compressive strength of geopolymer concrete (2021) (19)
- Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering (2015) (18)
- Modeling and Simulation Techniques in Structural Engineering (2016) (18)
- Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation (2021) (17)
- Geostatistical modelling of spatial and depth variability of SPT data for Bangalore (2007) (17)
- Slope Stability Analysis Using Multivariate Adaptive Regression Spline (2013) (17)
- Assessment of rockburst risk using multivariate adaptive regression splines and deep forest model (2021) (17)
- An Alternative Method for Determination of Liquefaction Susceptibility of Soil (2016) (16)
- Determination of rock depth using artificial intelligence techniques (2016) (16)
- Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study (2020) (16)
- Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach (2013) (15)
- Slope Stability Analysis Using Rf, Gbm, Cart, Bt and Xgboost (2021) (15)
- Newly explored machine learning model for river flow time series forecasting at Mary River, Australia (2020) (15)
- Support vector classifier analysis of slope (2013) (15)
- Utilization of Gaussian Process Regression for Determination of Soil Electrical Resistivity (2014) (15)
- Prediction of Heat Transfer Rate of a Wire-on-Tube Type Heat Exchanger: An Artificial Intelligence Approach☆ (2013) (14)
- Determination of Uniaxial Compressive Strength and Modulus of Elasticity of Travertine using Machine Learning Techniques (2013) (14)
- Determination of Uplift Capacity of Suction Caisson Using Gaussian Process Regression, Minimax Probability Machine Regression and Extreme Learning Machine (2018) (14)
- Liquefaction prediction using support vector machine model based on cone penetration data (2013) (14)
- Vector machine techniques for modeling of seismic liquefaction data (2014) (13)
- Novel integration of extreme learning machine and improved Harris hawks optimization with particle swarm optimization-based mutation for predicting soil consolidation parameter (2022) (13)
- Predicting groundwater depth fluctuations using deep learning, extreme learning machine and Gaussian process: a comparative study (2020) (13)
- A New Approach of Hybrid Bee Colony Optimized Neural Computing to Estimate the Soil Compression Coefficient for a Housing Construction Project (2019) (13)
- Developing a New Computational Intelligence Approach for Approximating the Blast-Induced Ground Vibration (2020) (13)
- Application of Geostatistical Models for Estimating Spatial Variability of Rock Depth (2011) (13)
- Determination of Optimum Tool for Efficient Rock Cutting (2016) (12)
- Soft Computing Approaches Towards Tensile Strength Estimation of GFRP Rebars Subjected to Alkaline-Concrete Environment (2022) (12)
- Reliability-Based Slope Stability Analysis of Durgawati Earthen Dam Considering Steady and Transient State Seepage Conditions Using MARS and RVM (2019) (12)
- Relevance vector machines approach for long-term flow prediction (2014) (12)
- Model of Least Square Support Vector Machine (LSSVM) for Prediction of Fracture Parameters of Concrete (2011) (12)
- Estimating hysteretic energy demand in steel moment resisting frames using Multivariate Adaptive Regression Spline and Least Square Support Vector Machine (2015) (12)
- Reliability Analysis of Slope Safety Factor by Using GPR and GP (2018) (12)
- Estimating Concrete Compressive Strength Using MARS, LSSVM and GP (2020) (12)
- A Multivariate Adaptive Regression Spline Approach for Prediction of Maximum Shear Modulus and Minimum Damping Ratio (2012) (11)
- A Novel Methodology to Classify Soil Liquefaction Using Deep Learning (2020) (11)
- Spatial Variability of Rock Depth Using Simple Kriging, Ordinary Kriging, RVM and MPMR (2015) (11)
- Spam Email Detection Using Deep Support Vector Machine, Support Vector Machine and Artificial Neural Network (2016) (11)
- Rock Strain Prediction Using Deep Neural Network and Hybrid Models of ANFIS and Meta-Heuristic Optimization Algorithms (2021) (11)
- Prediction of fracture characteristics of high strength and ultra high strength concrete beams based on relevance vector machine (2014) (11)
- Multivariate adaptive regression spline applied to friction capacity of driven piles in clay (2011) (10)
- SPT-based liquefaction potential assessment by relevance vector machine approach (2013) (10)
- Determination of Friction Capacity of Driven Pile in Clay Using Gaussian Process Regression (GPR), and Minimax Probability Machine Regression (MPMR) (2019) (10)
- Statistical learning algorithms for identifying contrasting tillage practices with Landsat Thematic Mapper data (2012) (10)
- Compressive strength prediction model of high-strength concrete with silica fume by destructive and non-destructive technique (2021) (10)
- Modeling of Elastic Modulus of Jointed Rock Mass: Gaussian Process Regression Approach (2014) (10)
- Reliability Analysis of Settlement of Pile Group in Clay Using LSSVM, GMDH, GPR (2020) (10)
- Reliability Analysis of Infinite Slope Using Metamodels (2017) (10)
- Deep Learning for Brain Computer Interfaces (2019) (9)
- Closed-Form Equation for Estimating Unconfined Compressive Strength of Granite from Three Non-destructive Tests Using Soft Computing Models (2022) (9)
- Deterministic and Probabilistic Analysis of Liquefaction for Different Regions in Bihar (2018) (9)
- Prediction of Probability of Liquefaction Using Soft Computing Techniques (2022) (9)
- Performance assessment of genetic programming (GP) and minimax probability machine regression (MPMR) for prediction of seismic ultrasonic attenuation (2013) (9)
- Reliability Analysis of Piled Raft Foundation Using a Novel Hybrid Approach of ANN and Equilibrium Optimizer (2021) (9)
- Buckling of laminated composite skew plate using FEM and machine learning methods (2020) (8)
- Predicting Probability of Liquefaction Susceptibility based on a wide range of CPT data (2021) (8)
- Spatial variability of SPT data using ordinary and disjunctive kriging (2010) (8)
- Application of Soft Computing Techniques to Expansive Soil Characterization (2009) (8)
- Thenmala fault system, Southern India: Implication to neotectonics (2015) (8)
- Big data in engineering applications (2018) (8)
- Probabilistic Design of Retaining Wall Using Machine Learning Methods (2021) (8)
- Site characterization model using least‐square support vector machine and relevance vector machine based on corrected SPT data (Nc) (2009) (8)
- Hybrid ELM and MARS-Based Prediction Model for Bearing Capacity of Shallow Foundation (2022) (8)
- Reliability analysis of settlement of pile group (2020) (8)
- Reliability and Prediction of Embedment Depth of Sheet pile Walls Using Hybrid ANN with Optimization Techniques (2022) (8)
- Estimating Slump Flow and Compressive Strength of Self-Compacting Concrete Using Emotional Neural Networks (2020) (8)
- Multivariate Adaptive Regression Splines Model to PredictFracture Characteristics of High Strength and Ultra HighStrength Concrete Beams (2013) (7)
- Application of Multivariate Adaptive Regression Splines to Evaporation Losses in Reservoirs (2011) (7)
- Smart phase behavior modeling of asphaltene precipitation using advanced computational frameworks: ENN, GMDH, and MPMR (2021) (7)
- A Comparative Analysis of Hybrid Computational Models Constructed with Swarm Intelligence Algorithms for Estimating Soil Compression Index (2022) (7)
- Deterministic strong ground motion study for the Sitamarhi area near Bihar–Nepal region (2017) (7)
- Modelling of reservoir-induced earthquakes: a multivariate adaptive regression spline (2012) (7)
- Prediction of uplift capacity of suction caisson in clay using extreme learning machine (2015) (7)
- Determination of stability of epimetamorphic rock slope using Minimax Probability Machine (2016) (7)
- Correlation between SPT, CPT and MASW (2010) (7)
- A New Integrated Approach Based on the Iterative Super-Resolution Algorithm and Expectation Maximization for Face Hallucination (2020) (7)
- Probabilistic slope stability analysis of Heavy-haul freight corridor using a hybrid machine learning paradigm (2022) (7)
- Prediction of rock strain using soft computing framework (2021) (7)
- Predicted ultimate capacity of laterally loaded piles in clay using support vector machine (2008) (7)
- A Multivariate Adaptive Regression Spline Approach for Prediction of Maximum Shear Modulus ( G max ) and Minimum Damping Ratio ( min ) (2013) (7)
- A New SVM Method for Recognizing Polarity of Sentiments in Twitter (2017) (7)
- Determination of reservoir induced earthquake using support vector machine and gaussian process regression (2013) (7)
- A unified classification model for modeling of seismic liquefaction potential of soil based on CPT (2014) (6)
- APPLICATION OF LEAST SQUARES SUPPORT VECTOR MACHINE IN SEISMIC ATTENUATION PREDICTION (2009) (6)
- Determination of seismic liquefaction potential of soil based on strain energy concept (2015) (6)
- Relevance vector machine and multivariate adaptive regression spline for modelling ultimate capacity of pile foundation (2016) (6)
- Reliability Analysis of Liquefaction for Some Regions of Bihar (2018) (6)
- Application of Artificial Intelligence in Geo-Engineering (2019) (6)
- Determination of Compressive Strength of Concrete by Statistical Learning Algorithms (2013) (6)
- Landslide Susceptibility Research Combining Qualitative Analysis and Quantitative Evaluation: A Case Study of Yunyang County in Chongqing, China (2022) (6)
- Applicability of artificial intelligence to reservoir induced earthquakes (2014) (6)
- Compressive strength prediction of fly ash concrete by using machine learning techniques (2021) (6)
- Risk estimation of soil slope stability problems (2022) (6)
- A critical review of conventional and soft computing methods for slope stability analysis (2022) (6)
- Use of the Relevance Vector Machine for Prediction of an Overconsolidation Ratio (2013) (6)
- The Use of a Relevance Vector Machine in Predicting Liquefaction Potential (2014) (6)
- Pullout capacity of small ground anchor: a least square support vector machine approach (2015) (6)
- Minimax probability machine regression and extreme learning machine applied to compression index of marine clay (2017) (5)
- Handbook of Neural Computation (2020) (5)
- Determination of Electrical Resistivity of Soil Based on Thermal Resistivity Using RVM and MPMR (2016) (5)
- Analysis of epimetamorphic rock slopes using soft computing (2014) (5)
- Determination of Compression Index For Marine Clay: A Least Square Support Vector Machine Approach (2011) (5)
- Application of statistical learning algorithms for prediction of liquefaction susceptibility of soil based on shear wave velocity (2014) (5)
- Relevance vector machine applied to settlement of shallow foundation on cohesionless soils (2008) (5)
- A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine (2020) (5)
- Determination of stability of slope using Minimax Probability Machine (2014) (5)
- Utilization of relevance vector machine for rock slope stability analysis (2011) (5)
- Three-Dimensional Site Characterization Model of Bangalore Using Support Vector Machine (2012) (5)
- Application of ANN for predicting pore water pressure response in a shake table test (2008) (4)
- A parametric study of ground vibration induced by quarry blasting: an application of group method of data handling (2022) (4)
- Operational use of machine learning models for sea-level modeling (2019) (4)
- Prediction of Fracture Parameters of High Strength andUltra-High Strength Concrete Beams using MinimaxProbability Machine Regression and Extreme LearningMachine (2014) (4)
- Pullout capacity of small ground anchors: a relevance vector machine approach (2009) (4)
- Determination of Surface and Hole Quality in Drilling of AISI D2 Cold Work Tool Steel Using MPMR, MARS and LSSVM (2014) (4)
- Reliability analysis of simply supported beam using GRNN, ELM and GPR (2019) (4)
- Geotechnical Site Characterization And Liquefaction Evaluation Using Intelligent Models (2009) (4)
- Determination of Strain Energy for Triggering Liquefaction Based on Gaussian Process Regression (2013) (4)
- Determination of the Angle of Shearing Resistance of Soils Using Multivariate Adaptive Regression Spline (2015) (3)
- Prediction of secant shear modulus and damping ratio for an extremely dilative silica sand based on machine learning techniques (2023) (3)
- Utilization of support vector machine for prediction of fracture parameters of concrete (2012) (3)
- Lateral displacement of liquefaction induced ground using least square support vector machine (2011) (3)
- Classifying Images of Drought-Affected Area Using Deep Belief Network, kNN, and Random Forest Learning Techniques (2018) (3)
- Determination of Work Zone Capacity Using ELM, MPMR and GPR (2017) (3)
- Design of a piezovibrocone and calibration chamber (2010) (3)
- Support Vector Classifiers for Prediction of Pile Foundation Performance in Liquefied Ground During Earthquakes (2012) (3)
- Determination of Compression Index for Marine Clay: A Relevance Vector Machine Approach (2012) (3)
- Minimax Probability Machine: A New Tool for Modeling Seismic Liquefaction Data (2015) (3)
- Prediction of groundwater table for Chennai Region using soft computing techniques (2022) (3)
- Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering (2018) (3)
- Prediction of probability of liquefaction using hybrid ANN with optimization techniques (2022) (3)
- Cyanobacteria blue-green algae prediction enhancement using hybrid machine learning–based gamma test variable selection and empirical wavelet transform (2022) (3)
- A comparative study of ordinary kriging and support vector machine models for the spatial variability of rock depth in Bangalore (2008) (3)
- Modeling of SPT Seismic Liquefaction Data Using Minimax Probability Machine (2014) (3)
- Application of Relevance Vector Machine for Structural Reliability Analysis (2013) (3)
- ANN Model to Predict Fracture Characteristics of HighStrength and Ultra High Strength Concrete Beams (2014) (3)
- APPLICATION OF RELEVANCE VECTOR MACHINE IN SEISMIC ATTENUATION PREDICTION (2007) (3)
- River flow forecasting using stochastic and neuro-fuzzy-embedded technique: a comprehensive preprocessing-based assessment (2021) (3)
- Utilization of Classification Techniques for the Determination of Liquefaction Susceptibility of Soils (2016) (3)
- Evaluation of the Compressive Strength of CFRP-Wrapped Circular Concrete Columns Using Artificial Intelligence Techniques (2022) (2)
- Reliability Analysis of Quick Sand Condition (2016) (2)
- An approach based on socio-politically optimized neural computing network for predicting shallow landslide susceptibility at tropical areas (2021) (2)
- Computational intelligence approaches for estimating the unconfined compressive strength of rocks (2022) (2)
- Modeling the confined compressive strength of CFRP-jacketed noncircular concrete columns using artificial intelligence techniques (2022) (2)
- Intelligent Models Applied to Elastic Modulus of Jointed Rock Mass (2018) (2)
- Utilization of SVM, LSSVM and GP for Predicting the Medical Waste Generation (2020) (2)
- Artificial neural network and support vector machine models for evaluating spatial variability of SPT data (2007) (2)
- Probabilistic analysis of gravity retaining wall using ANFIS-based optimization techniques (2022) (2)
- Daily Flow Modeling With Random Forest and K-Nearest Neighbor Methods (2021) (2)
- Reliability Analysis of Gravity Retaining Wall Using Hybrid ANFIS (2022) (2)
- Handbook of Probabilistic Models (2020) (2)
- State of art soft computing based simulation models for bearing capacity of pile foundation: a comparative study of hybrid ANNs and conventional models (2022) (2)
- A Simplified Approach for Rainfall-runoff Modeling Using Advanced Soft-computing Methods (2021) (2)
- Site Characterization Using GP, MARS and GPR (2015) (2)
- Reliability Analysis of Slope Using MPMR, GRNN and GPR (2016) (2)
- Design Optimization of a Wind Turbine Using Artificial Intelligence (2017) (2)
- Hybrid-ANFIS approaches for compressive strength prediction of cementitious mortar and paste employing magnetic water (2021) (2)
- Stress Intensity Factor Prediction on Offshore Pipelines using Surrogate Modeling Techniques (2022) (2)
- Applicability of Statistical Learning Algorithms for Spatial Variability of Rock Depth (2010) (2)
- Determination of Spatial Variability of Rock Depth of Chennai (2021) (2)
- Support Vector Machine Modelling for the Compressive Strength of Concrete (2012) (2)
- Machine Learning Techniques Applied to Uniaxial Compressive Strength of Oporto Granite (2014) (2)
- Prediction of Fracture Parameters of High Strength andUltra-high Strength Concrete Beam using GaussianProcess Regression and Least Squares (2014) (2)
- Site Characterization Model Using Support Vector Machine and Ordinary Kriging (2011) (1)
- Application of Artificial Neural Network and Genetic Programming in Civil Engineering (2016) (1)
- Design of an Energy Pile Based on CPT Data Using Soft Computing Techniques (2022) (1)
- Modeling resilient modulus of subgrade soils using LSSVM optimized with swarm intelligence algorithms (2022) (1)
- A comparative study of prediction of compressive strength of ultra‐high performance concrete using soft computing technique (2023) (1)
- Reliability Analysis of Pile Foundation Using GMDH, GP and MARS (2021) (1)
- Spatial variation of permeability and consolidation behaviors of soil using ordinary kriging method (2022) (1)
- Numerical analysis of bearing capacity of circular footing reinforced with geogrid layers (2022) (1)
- Pareto design of multiobjective evolutionary neuro-fuzzy system for predicting scour depth around bridge piers (2021) (1)
- Early prediction of COVID-19 outcome using artificial intelligence techniques and only five laboratory indices (2022) (1)
- Basics of Computational Geophysics (2020) (1)
- Three-Dimensional Site Characterization Model Using Artificial Neural Networks (2007) (1)
- Applicability of Data Mining Techniques for Predicting Electrical Resistivity of Soils Based on Thermal Resistivity (2013) (1)
- Prediction of Ultimate Capacity of Laterally Loaded Piles in Clay: A Relevance Vector Machine Approach (2009) (1)
- Prediction of Fracture Parameters of Concrete by Relevance Vector Machine (2015) (1)
- Reliability Analysis of Retaining Wall Using Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) (2021) (1)
- Machine Learning Approach for Prediction of Lateral Confinement Coefficient of CFRP-Wrapped RC Columns (2023) (1)
- Reliability Analysis of Circular Footing by Using GP and MPMR (2021) (1)
- A novel hybrid model of augmented grey wolf optimizer and artificial neural network for predicting shear strength of soil (2022) (1)
- Soft Computing Applied to Rotation Capacity of Wide Flange Beams (2018) (1)
- Prediction of Rock Strain Using Hybrid Approach of Ann and Optimization Algorithms (2022) (1)
- Potential of regression models in projecting sea level variability due to climate change at Haldia Port, India (2017) (1)
- Modelling of Seismic Liquefaction Using Classification Techniques (2021) (1)
- Application of Meta-Models (MPMR and ELM) for Determining OMC, MDD and Soaked CBR Value of Soil: (2016) (1)
- Modelling soil compaction parameters using a hybrid soft computing technique of LSSVM and symbiotic organisms search (2022) (1)
- Determination of reliability index of cantilever retaining wall by RVM, MPMR and MARS (2021) (1)
- Assessment of liquefaction-induced lateral spread using soft computing approaches (2022) (1)
- A Liquefaction Study Using ENN, CA, and Biogeography Optimized-Based ANFIS Technique (2022) (1)
- Artificial Intelligence in Civil Engineering: AI in Civil Engineering (2012) (1)
- A study on environmental issues of blasting using advanced support vector machine algorithms (2022) (1)
- Development of equation for determining the compression index of marine clay (2019) (1)
- Implementing ensemble learning models for the prediction of shear strength of soil (2023) (1)
- Relevance Vector Machine for Evaluating Seismic Liquefaction Potential Using Shear Wave Velocity (2010) (1)
- Comparison of different optimized machine learning algorithms for daily river flow forecasting (2022) (1)
- Liquefaction prediction using support vector machine model based on cone penetration data (2013) (0)
- Multivariate adaptive regression spline (MARS) and least squares support vector machine (LSSVM) for OCR prediction (2012) (0)
- Use of Minimax Probability Machine Regression for Modelling of Settlement of Shallow Foundations on Cohesionless Soil (2014) (0)
- Slope Stability and Liquefaction (2010) (0)
- Determination of the size of rock fragments using RVM, GPR, and MPMR (2022) (0)
- Spatial Variability of Rock Depth using Artificial Intelligence Techniques (2010) (0)
- Prediction of compressive strength of self-compacting concrete using least square support vector machine and relevance vector machine (2014) (0)
- A study of slope stability prediction using least square support vector machine (2012) (0)
- Least Square Support Vector Machine Applied to Elastic Modulus of Jointed Rock Mass (0)
- Application of Soft Computing in Geotechnical Earthquake Engineering (2021) (0)
- Sensitive Analysis of Soil Parameters on Stability Numbers (2007) (0)
- Multi-depth daily soil temperature modeling: meteorological variables or time series? (2022) (0)
- Reliability Analysis of Dam under Quicksand Condition (2015) (0)
- Soil Structure Interaction of Multi-Storey Buildings on Raft Foundations under Dynamic Loads (2018) (0)
- Application of Bi-directional Extreme Learning Machine in Predicting Stability of Slope of Railway Embankment in Seismic Condition (2021) (0)
- Reliability-Based Slope Stability Analysis of Durgawati Earthen Dam Considering Steady and Transient State Seepage Conditions Using MARS and RVM (2019) (0)
- Reliability analysis of shallow foundation based on settlement criteria (2023) (0)
- Determination of reliability index of the retaining wall using artificial intelligence techniques (2020) (0)
- UTILIZATION OF MULTIVARIATE ADAPTIVE REGRESSION SPLINES (MARS) FOR PREDICTION OF PULL OUT CAPACITY OF SMALL GROUND ANCHOR (2013) (0)
- Use of Artificial Intelligence Tools to Determine the Liquefaction-Triggering Potential (2015) (0)
- Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study (2019) (0)
- Machine Learning in Concrete Technology (2011) (0)
- Analysis of epimetamorphic rock slopes using soft computing (2014) (0)
- Relevance Vector Machine Classifier Analysis of Slope (2007) (0)
- The Use of a Relevance Vector Machine in Predicting Liquefaction Potential (2013) (0)
- Reliability Analysis of Reinforced Soil Slope Stability using GA-ANFIS, RFC, and GMDH Soft Computing Techniques (2023) (0)
- Slope stability analysis of heavy-haul freight corridor using novel machine learning approach (2023) (0)
- Ensemble unit and AI techniques for prediction of rock strain (2022) (0)
- Multivariate Adaptive Regression Spline Based Reliability Analysis of Stability of Durgawati Earthen Dam (2020) (0)
- Seismic Performance of Gravity Retaining Walls Under Quasi-static Approach Using Probabilistic Analysis (2023) (0)
- Application of Soft Compiting Techniques in River Flow Modeling in The Case of Euphrates-Tigres Basin (2020) (0)
- Determination of stability numbers for soil slopes following non-associated non-coaxial flow rule (2010) (0)
- Soft Computing Applied to Rotation Capacity of Wide Flange Beams (2018) (0)
- Support Vector Machine and Relevance Vector Machine for Prediction of Alumina and Pore Volume Fraction in Bioceramics (2013) (0)
- Determination of Bearing Capacity of Shallow Foundation Using Soft Computing (2017) (0)
- Performance of traditional and machine learning-based transformation models for undrained shear strength (2023) (0)
- GPR and RVM-Based Predictions of Surface and Hole Quality in Drilling of AISI D2 Cold Work Tool Steel (2015) (0)
- Determination of Pull Out Capacity of Small Ground Anchor Using Data Mining Techniques (2016) (0)
- Reliability analysis of stability of durgawati earthen dam considering steady state and transient state seepage condition using mars (2018) (0)
- Artificial Intelligence in Earthquake Engineering (2010) (0)
- Intelligent Models in Geotechnical Engineering (2010) (0)
- Utilization of Statistical Learning Algorithms for Prediction of Elastic Modulus of Jointed Rock Mass (2011) (0)
- Determination of Rate of Medical Waste Generation Using RVM, MARS and MPMR (2020) (0)
- Predicting longitudinal dispersion coefficient in natural streams using minimax probability machine regression and multivariate adaptive regression spline (2021) (0)
- Modeling of Wind Speed Profile using Soft Computing Techniques (2015) (0)
- Forecasting heating and cooling loads of buildings: a comparative performance analysis (2019) (0)
- Determination of Stability of Rock Slope Using Intelligent Pattern Recognition Techniques (2016) (0)
- Hybrid neuro swarm intelligence paradigms for predicting the shear strength of sub-soil of heavy-haul freight corridor (2022) (0)
- Correction to: A study on environmental issues of blasting using advanced support vector machine algorithms (2022) (0)
- Relevance vector machines approach for long-term flow prediction (2014) (0)
- SITE CHARACTERIZATION OF (IGCAR) KALPAKKAM USING SOFT COMPUTING TECHNICES (2012) (0)
- Stability Numbers For Slopes With Associated And Non-Associated Flow Rule And Shake Table Liquefaction Studies (2004) (0)
- Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach (2013) (0)
- A Hybrid DNN Model for Travel Time Estimation from Spatio-Temporal Features (2022) (0)
- Suitability assessment of the best liquefaction analysis procedure based on SPT data (2023) (0)
- Least square support vector machine and multivariate adaptive regression spline for modeling lateral load capacity of piles (2012) (0)
- DETERMINATION OF CONTAMINATATED WELLS TO NO3-N: A NOVEL VULNERABILITY ASSESSMENT TOOL (2015) (0)
- Estimation of Fracture Parameters of Concrete Using LS-SVM Model (2011) (0)
- Confinement Efficiency of R C Columns with Rectangular Ties: A SVM Approach (2007) (0)
- Relevance Vector Machine for Prediction of Soil Properties (2011) (0)
- Determination of Uplift Capacity of Suction Caisson Using Gaussian Process Regression, Minimax Probability Machine Regression and Extreme Learning Machine (2018) (0)
This paper list is powered by the following services:
What Schools Are Affiliated With Pijush Samui̇?
Pijush Samui̇ is affiliated with the following schools:
