THE DEVELOPMENT OF INFORMATION TECHNOLOGY OF STRUCTURAL HEALTH MONITORING SYSTEMS by M. V. Emelianov

“…The article presents the conceptual foundations of the developed information technology, the algorithm for determining the monitoring mode based on information about the construction object, the algorithm for the macro to determine the most loaded nodes and elements in the complex finite element modeling. …”
Get full text

Monitoring of Energy Efficiency of District Heating System Facilities: Methodology for Determining the Energy Baseline by Davydenko L.V., Davydenko N.V., Davydenko V.A., Sprake D.

“…Determining the energy consumption level is one of the stages of energy efficiency monitoring facilities. …”
Get full text

Prediction and Monitoring Model of Concrete Dam Deformation Based on WOA-RFR by FENG Yu, WU Yunxing, GU Wenjing, PANG Qiong, GU Yanchang, CHEN Siyu

“…The monitoring model of dam deformation is built by using the random forest optimized by whale algorithm for an actual project, and the coefficient of determination, root mean square error (RMSE), and mean absolute percentage error (MAPE) are introduced to evaluate and compare the excellent performance of the proposed models. …”
Get full text

Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

“…The objective of the study is to create an algorithm that processes satellite data as input information for the formation and checking of mathematical models of hydrodynamics, which are used to monitor the state of water bodies. …”
Get full text

Development of an optimization model for a monitoring point in tunnel stress deduction using a machine learning algorithm by Xuyan Tan, Weizhong Chen, Luyu Wang, Wei Ye

“…Therefore, with the aim of optimizing the monitoring scheme, this study introduces a spatial deduction model for the stress distribution of the overall structure using a machine learning algorithm. …”
Get full text

Deep characteristic learning model for real-time flow monitoring based on H-ADCP by Yu Li, Xin Zhao, Yibo Wang, Ling Zeng

“…New hydrological insights for the region: The DCL model performs efficiently with a determination coefficient (R2) of 0.93 between the simulated and observed discharge, which is obviously better than the single intelligent algorithm-based models. …”
Get full text

Online Vulnerability Assessment in Cascading Failure Analysis Using an Intelligence Monitoring Model by Saber Armaghani, Zahra Moravej

Get full text

A structural health monitoring data reconstruction method based on VMD and SSA-optimized GRU model by Xiaoliang Jia, Guoyan Zhang, Zhiqiang Wang, Huacong Li, Jing Hu, Songlin Zhu, Caiwei Liu

“…Results show that, compared to a standalone GRU model and a VMD + GRU model, the VMD + SSA + GRU model’s reconstruction data root mean squared error is reduced by 46.61% and 32.57% on average, respectively, while the coefficient of determination increases by 38.74% and 18.50%. …”
Get full text

Pressure Sensor Placement for Pipe Roughness Calibration Based on Graph-Based Surrogate Model Coupled with Genetic Algorithm by Mohammad Rajabi, Mohsen Hajibabaei, Massoud Tabesh, Robert Sitzenfrei

“…Furthermore, the Non-dominated Sorting Genetic Algorithm (NSGA-II) determines the end node of the WDN’s critical paths for sensor placement to maximize monitoring network efficiency to calibrate the model and avoid additional data collection. …”
Get full text

Crop Monitoring System Using IoT, Solar Energy and Decision Tree Algorithm by Ricardo Yauri, Luis Cuyubamba, Stefano Nuñez

“…This paper aims to design an Internet of Things-based monitoring system where the specific objectives are focused on building a solar-powered power stage and integrating machine learning algorithms to help determine crop health. …”
Get full text

Research on Underwater Sensor Network Adaptive Clustering Algorithm for Marine Environment Monitoring by Libin Xue, Chunjie Cao, Rongxin Zhu

“…Consequently, this paper introduces an adaptive clustering algorithm for marine environment monitoring (MEMAC). …”
Get full text

Geo-Information Modeling for Determining the Movement of Human Capital by R. V. Fattakhov, P. V. Stroev, M. M. Nizamutdinov, O. V. Pivovarova, M. I. Akhmetzyanova

“…The purpose of the research is to develop a GIS monitoring of the socio-economic attractiveness of municipalities to determine the movement of human capital. …”
Get full text

Research on Health Monitoring of Flying-Swallow-Typed Tied Arch Bridge Based on PSO-GRNN Algorithm by Tianpeng Zhang, Long Liu, Pengfei Ji

Get full text

Determination of Flow Characteristics in Technological Processes with Controlled Pressure by T. Reader, V. A. Tenenev, A. A. Chernova

Get full text

Model updating method for detect and localize structural damage using generalized flexibility matrix and improved grey wolf optimizer algorithm (I-GWO) by Sina Sadraei, Majid Gholhaki, Omid Rezaifar

“…Employing optimization algorithms in structural model updating is one approach to achieve this objective. …”
Get full text

Application of Levenberg-Marquardt Backpropagation Algorithm in Artificial Neural Network for Self-Calibration of Deflection Type Wheatstone Bridge Circuit in CO Electrochemical Ga... by Amirhosein Asilian, S. Mohammadali Zanjani

“…The Levenberg-Marquardt backpropagation algorithm (LMBP) is utilized in the Artificial âNeural Network model to minimize the Mean Squared Error (MSE) and identify the most suitable parameters in the âproposed method.ââ âThe model under consideration has been developed and trained using real-time data.ââ âBased on âthe experimental and evaluation outcomes, it can be concluded that the suggested model has an MSE value of ââ0.28249 and an R2 coefficient of determination of 0.99992, indicating high accuracy and precision. …”
Get full text

New Algorithm for Conservative Treatment of Patients with Keratoconus by E. S. Milyudin, O. Yu. Smorodinova, K. E. Kuchuk

Get full text

Comparative Analysis of Machine Learning Algorithms and Statistical Techniques for Data Analysis in Crop Growth Monitoring with NDVI by M. Arunachalam, S. Sekar, A. M. Erdmann, V. V. Sajith Variyar, R. Sivanpillai

Get full text

Design of the optimal groundwater quality monitoring network using a genetic algorithm based optimization approach by Somaye Janatrostami, Ali Salahi

“…Hence, EC was selected as a quality parameter in the design of the monitoring network in this study. Materials and methods: Genetic optimization algorithm (GA) was used to search for optimal quality monitoring network. …”
Get full text

Application of machine learning in the determination of rock brittleness for CO2 geosequestration by Efenwengbe Nicholas Aminaho, Mamdud Hossain, Nadimul Haque Faisal, Reza Sanaee

“…In this study, an algorithm was developed to generate numerical simulation datasets for a more reliable machine learning model development, and an artificial neural network (ANN) model was developed to evaluate the brittleness index of rocks using data from numerical simulations of CO2 geosequestration in sandstone and carbonate reservoirs, overlain by shale caprock. …”
Get full text