Titlebook: Disruptive Information Technologies for a Smart Society; Proceedings of the 1 Miroslav Trajanovi?,Nenad Filipovi?,Milan Zdravkov Conference

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Armory

XGBoost “is All You Need”: the Case of Forecasting Transmitted Heat Energy in District Heating Syste in District Heating Systems (DHS). The objective is to explore scenarios in which conventional ML algorithms demonstrate better performance over deep learning networks in time series forecasting and the associated benefits in terms of computational cost and environmental impact. The study focuses o

archetype

縱火

Integrated Multi-criteria Decision Analysis, Sizing Optimization, and Demand Side Management for Defly CO2, from the combustion of fossil fuels. This not only poses environmental concerns but also contributes to rising energy costs. This study aims to mitigate these issues by integrating renewable energy sources (Photovoltaic panels and Wind Turbines), Energy Storage Systems, and Electric Vehicles

conscience

Towards an Approach to Multivariate Outlier Detection for District Heating System Dataocal District Heating System, by also considering outside ambient temperature, namely Z-score (univariate, as a benchmark), Mahalanobis distances, Principal Component Analysis (PCA), Isolation Forest and Hotelling’s T-squared test. The overall research aims at uncovering irregular plant operation, w

cluster

Unlocking Potential: Improved Optical Approach for Enhanced Plant Stress and Metabolism Analysis witnm wavelength. Preliminary applications revealed various plant changes related to light deficiency, water scarcity, nutrient deprivation, and pathogen presence. Inspired by these findings, we upgraded our approach to include the 640?nm wavelength, renowned for its role in photosynthesis processes. T

cluster

Implementation of the Semantic Data Model for Energy Management in Smart Buildingst-grid systems across European residential communities. We discuss the challenges of data integration and connectivity in smart grids and how the semantic model addresses these issues. Our methodology includes the step-by-step creation process of an ontology, as well as the design and application of

高深莫測

學(xué)術(shù)討論會

A Proposal for Markerless Gait Analysis Based on 3D Points CloudDAR, that can capture body movements in real-time and in various environments. Gait analysis aims to evaluate the differences in symmetry between the left and right sides of the body, which can indicate diseases such as Parkinson’s and Alzheimer’s. The point cloud is a sparse matrix with N points in

RUPT

An Algorithm-Based Approach to Map and Analyze the Impacts of Assistive Technologies on the Systemicver, the systemic context of conception, development and production lacks research that analyses the impact of ATs on the different characters in this ecosystem of assistance to people with disabilities to expand the reach and dissemination of these technologies. In this sense, this article aims to