Application of Rough Set Theory (RST) to Forecast Energy Consumption in Buildings Undergoing Thermal Modernization [PDF]
Energies, 2020 In many regions, the heat used for space heating is a basic item in the energy balance of a building and significantly affects its operating costs. The accuracy of the assessment of heat consumption in an existing building and the determination of the ...
Tomasz Szul, Stanisław Kokoszka
doaj +4 more sources
Energies, 2022 The study was carried out on a group of 85 public buildings, which differed in type of use, construction technology and heating systems. From the collected data, a set of qualitative and quantitative variables characterizing them in terms of heat demand ...
Joanna Piotrowska-Woroniak, Tomasz Szul
doaj +4 more sources
RST: Rough Set Transformer for Point Cloud Learning [PDF]
Sensors, 2023 Point cloud data generated by LiDAR sensors play a critical role in 3D sensing systems, with applications encompassing object classification, part segmentation, and point cloud recognition. Leveraging the global learning capacity of dot product attention,
Xinwei Sun, Kai Zeng
doaj +2 more sources
Application of the BORUTA Algorithm to Input Data Selection for a Model Based on Rough Set Theory (RST) to Prediction Energy Consumption for Building Heating [PDF]
Energies, 2021 Energy prediction used for building heating has attracted particular attention because it is often required in the development of various strategies to improve the energy efficiency of buildings, especially those undergoing thermal improvements. The complexity, dynamics, uncertainty, and nonlinearity of existing building energy systems create a great ...
Tomasz Szul +2 more
openaire +4 more sources
Heart disease prediction using rough neutrosophic sets and dual-attention neural networks: RNS-OptiDANet [PDF]
Frontiers in Artificial IntelligenceIntroductionHeart disease is a major global health problem that highlights the need for effective and accurate prediction methods.MethodsThis paper presents RNS-OptiDANet, a hybrid framework that combines rough set theory (RST), rough neutrosophic sets ...
T. Ashika, G. Hannah Grace
doaj +2 more sources
Energies, 2023 This work presents the results of a study that used a model based on rough set theory (RST) to assess the brine temperature of vertical ground heat exchangers (VGHEs) to feed heat pumps (HP). The purpose of this research was to replace costly brine temperature measurements with a more efficient approach.
Joanna Piotrowska-Woroniak +2 more
openaire +4 more sources
Contextual classification of network traffic through rough set theory and convolutional neural networks [PDF]
Scientific ReportsNow-a-days online activities and the usage of various applications by users are more diverse and led to the tremendous increase of network traffic. Monitoring and analyzing of the network became an issue due to the increased traffic.
Donepudi Priyanka, Y. K. Sundara Krishna
doaj +2 more sources
Enhancing heart disease prediction with stacked ensemble and MCDM-based ranking: an optimized RST-ML approach [PDF]
Frontiers in Digital HealthIntroductionCardiovascular disease (CVD) is a leading global cause of death, necessitating the development of accurate diagnostic models. This study presents an Optimized Rough Set Theory-Machine Learning (RST-ML) framework that integrates Multi-Criteria
T. Ashika, G. Hannah Grace
doaj +2 more sources
Exploring the Health Literacy Behavior Patterns of Male Patients Using an Interpretable Method [PDF]
Risk Management and Healthcare PolicyLizhen Huang,1,* Yanjun Jin,2,* Ching-Wen Chien,3 Qinyi Xu,3 Yen-Ching Chuang,4– 6 Tao-Hsin Tung6,7 1School of Economics and Management, Fuzhou University, Fuzhou, Fujian, 350108, People’s Republic of China; 2Department of Urology, Taizhou ...
Huang L +5 more
doaj +2 more sources
Application of Rough Set Theory to Improve Outpatient Medical Service Quality in Public Hospitals Based on the Patient Perspective [PDF]
Frontiers in Public Health, 2021 Purpose: To analyze the key factors and decision-making behaviors affecting overall satisfaction based on perceptual data of outpatients.Methods: The official satisfaction questionnaire developed by the National Health Commission of the People's Republic
Man-Li Du +5 more
doaj +2 more sources