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dr inż. Hubert Anysz
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total: 36
Catalog Publications
Year 2023
Year 2022
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7-Score Function for Assessing the Strength of Association Rules Applied for Construction Risk Quantifying
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Automatic strength assessment of the virtually modelled concrete interfaces based on shadow-light images
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Delineating Groundwater Recharge Potential through Remote Sensing and Geographical Information Systems
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Machine Learning and data mining tools applied for databases of low number of records
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The Risk Indicators of Construction Projects’ Cost Overruns Assessed with PCA, Decision Trees, and Pearson’s Correlations
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Year 2021
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Designing the Composition of Cement-Stabilized Rammed Earth with the Association Analysis Application
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Long Short-Term Memory (LSTM) neural networks in predicting fair price level in the road construction industry
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Quantitative Risk Assessment in Construction Disputes Based on Machine Learning Tools
PublicationA high monetary value of the construction projects is one of the reasons of frequent disputes between a general contractor (GC) and a client. A construction site is a unique, one-time, and single-product factory with many parties involved and dependent on each other. The organizational dependencies and their complexity make any fault or mistake propagate and influence the final result (delays, cost overruns). The constant will...
Year 2020
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Artificial Neural Networks in Classification of Steel Grades Based on Non-Destructive Tests
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Client’s Expectations vs Contractor’s Pricing. Fair Prices or Bid Rigging
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Feature Importance of Stabilised Rammed Earth Components Affecting the Compressive Strength Calculated with Explainable Artificial Intelligence Tools
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Pareto Optimal Decisions in Multi-Criteria Decision Making Explained with Construction Cost Cases
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The quality management in precast concrete production and delivery processes supported by association analysis
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Year 2019
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Comparison of ANN Classifier to the Neuro-Fuzzy System for Collusion Detection in the Tender Procedures of Road Construction Sector
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Cost approach to the flow-shop construction scheduling
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Designing the Composition of Cement Stabilized Rammed Earth Using Artificial Neural Networks
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Influence of the Organizational Schemes of the Construction Process on the Quality of the Structures Erected Based on Selected Legal Aspects from Russia, Slovakia, and Poland
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Managing Delays in Construction Projects Aiming at Cost Overrun Minimization
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Modelling Negotiations of Construction Subcontract based on a Game Theory – Results of an Experiment
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Modelling the set of earthworks machinery with the use of computer simulation
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Monitoring of metal structures with the dynamic methods
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Predicting Compressive Strength of Cement-Stabilized Rammed Earth Based on SEM Images Using Computer Vision and Deep Learning
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Sensitivity analysis of the contractor’s financial effects achieved on a single building site
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The association analysis for risk evaluation of significant delay occurrence in the completion date of construction project
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Year 2018
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Collusion and bid rigging in the construction industry: case studies from Poland
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Cost minimization of locating construction machinery park with the use of simulation and optimization algorithms
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DATA MINING IN CONSTRUCTION RESEARCH
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The collusion detection in public procurements – selected methods applied for the road construction industry in Poland
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The Conjugated Triangle Method CTM of the detection of inconsistent bids in the construction industry
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The control of the mass of an aggregates deliveries and its impact on the effectiveness of earthworks execution
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The cost minimizing solution of the transportation problem for the location of the building machinery yard along the road under construction
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Year 2017
Year 2016
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Pomiar trafności prognoz opóźnień w realizacji przedsięwzięć budowlanych za pomocą sztucznych sieci neuronowych
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The Influence of Input Data Standardization Method on Prediction Accuracy of Artificial Neural Networks
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The methodology of technical due diligence report preparation for an office, residential and industrial buildings
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