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Hubert Anysz
Hubert Anysz
Warsaw University of Technology, Faculty of Civil Engineering, Institute of Construction Engineering
在 pw.edu.pl 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
The influence of input data standardization method on prediction accuracy of artificial neural networks
H Anysz, A Zbiciak, N Ibadov
Procedia Engineering 153, 66-70, 2016
902016
Designing the Composition of Cement Stabilized Rammed Earth Using Artificial Neural Networks
H Anysz, P Narloch
Materials 12 (9), 2019
522019
Feature Importance of Stabilised Rammed Earth Components Affecting the Compressive Strength Calculated with Explainable Artificial Intelligence Tools
H Anysz, Ł Brzozowski, W Kretowicz, P Narloch
Materials 13 (11), 1-20, 2020
472020
Artificial Neural Networks in Classification of Steel Grades Based on Non-Destructive Tests
A Beskopylny, A Lyapin, H Anysz, B Meskhi, A Veremeenko, A Mozgovoy
Materials 13 (11), 2020
452020
The association analysis for risk evaluation of significant delay occurrence in the completion date of construction project
H Anysz, B Buczkowski
International Journal of Environmental Science and Technology, 2019
442019
Pareto Optimal Decisions in Multi-Criteria Decision Making Explained with Construction Cost Cases
H Anysz, A Nicał, Ž Stević, M Grzegorzewski, K Sikora
Symmetry 13, 2021
412021
Predicting Compressive Strength of Cement-Stabilized Rammed Earth Based on SEM Images Using Computer Vision and Deep Learning
P Narloch, A Hassanat, AS Tarawneh, H Anysz, J Kotowski, ...
Applied Sciences 9 (23), 1-14, 2019
412019
The comparison of ANN classifier to the neuro-fuzzy system for a collusion detection in the tender procedures in the road construction sector
H Anysz, A Foremny, J Kulejewski
IOP Conference Series: Materials Science and Engineering 471, 2019
272019
Przyczyny powstawania opóźnień w realizacji kontraktów budowlanych-analiza wstępnych wyników badania ankietowego
H Anysz, A Zbiciak
Instytut Naukowo-Wydawniczy „SPATIUM” Sp. z oo, 2013
272013
The quality management in precast concrete production and delivery processes supported by association analysis
A Nicał, H Anysz
International Journal of Environmental Science and Technology, 577–590, 2020
242020
Neuro-fuzzy predictions of construction site completion dates
H Anysz, N Ibadov
Technical Transactions 114 (6), 51-58, 2017
172017
Delineating Groundwater Recharge Potential through Remote Sensing and Geographical Information Systems
A Maqsoom, B Aslam, N Khalid, F Ullah, H Anysz, AH Almaliki, ...
Water 14 (1824), 2022
152022
Wykorzystanie sztucznych sieci neuronowych do oceny możliwości wystąpienia opóźnień w realizacji kontraktów budowlanych
H Anysz
Warsaw University of Technology, Department of Civil Engineering, 2017
152017
Estimating potential losses of the client in public procurement in case of collusion utilizing a MLP neural networks
H Anysz, A Foremny, J Kulejewski
Technical Transactions. Civil Engineering, 105-118, 2014
152014
The profit as in-company evaluation of the construction site effectiveness
H Anysz
MATEC Web of Conferences 117, 00009, 2017
142017
Sensitivity analysis of the contractor’s financial effects achieved on a single building site
H Anysz, W Rogala
Scientific Review – Engineering and Environmental Sciences 28, 183-191, 2019
132019
Quantitative Risk Assessment in Construction Disputes Based on Machine Learning Tools
H Anysz, M Apollo, B Grzyl
Symmetry 13 (5), 2021
12*2021
Managing Delays in Construction Projects Aiming at Cost Overrun Minimization
H Anysz
IOP Conf. Series: Materials Science and Engineering, 2019
92019
The methodology of technical due diligence report preparation for an office, residential and industrial buildings
B Kutera, H Anysz
MATEC Web of Conferences 86, 07009, 2016
92016
The collusion detection in public procurements–selected methods applied for the road construction industry in Poland
A Foremny, H Anysz
MATEC Web of Conferences 219, 04002, 2018
72018
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