Machine learning approaches to predict electricity production from renewable energy sources
Bearing in mind European Green Deal assumptions regarding a significant reduction of
green house emissions, electricity generation from Renewable Energy Sources (RES) is …
green house emissions, electricity generation from Renewable Energy Sources (RES) is …
Data analytics for project delivery: unlocking the potential of an emerging field
Y Shen, N Brookes, L Lattuf Flores… - International Journal of …, 2024 - emerald.com
Purpose In recent years, there has been a growing interest in the potential of data analytics
to enhance project delivery. Yet many argue that its application in projects is still lagging …
to enhance project delivery. Yet many argue that its application in projects is still lagging …
A multi-label text message classification method designed for applications in call/contact centre systems
This paper presents a system for multi-label classification of text data processed in
Call/Contact Centre (CC) systems. The solution presented herein constitutes a significant …
Call/Contact Centre (CC) systems. The solution presented herein constitutes a significant …
Reduction of the risk of inaccurate prediction of electricity generation from PV farms using machine learning
Problems with inaccurate prediction of electricity generation from photovoltaic (PV) farms
cause severe operational, technical, and financial risks, which seriously affect both their …
cause severe operational, technical, and financial risks, which seriously affect both their …
[HTML][HTML] Machine learning approach to gait deviation prediction based on isokinetic data acquired from biometric sensors
A Krechowicz, S Deniziak, D Kaczmarski - Gait & posture, 2023 - Elsevier
Background: Analyzing gait deviation is one of the crucial factors during the diagnosis and
treatment of children with Cerebral Palsy (CP). The typical diagnostic procedure requires an …
treatment of children with Cerebral Palsy (CP). The typical diagnostic procedure requires an …
Comprehensive risk management in passive buildings projects
M Krechowicz, JZ Piotrowski - Energies, 2021 - mdpi.com
Nowadays, we can observe a growing interest in passive buildings due to global climate
change, environmental concerns, and growing energy costs. However, developing a …
change, environmental concerns, and growing energy costs. However, developing a …
Risk and opportunity assessment model for CSR initiatives in the face of coronavirus
M Krechowicz, K Kiliańska - Sustainability, 2021 - mdpi.com
This paper concerns an important and current problem of taking Corporate Social
Responsibility (CSR) initiatives in the specific market conditions of the COVID-19 pandemic …
Responsibility (CSR) initiatives in the specific market conditions of the COVID-19 pandemic …
Towards sustainable project management: evaluation of relationship-specific risks and risk determinants threatening to achieve the intended benefit of …
M Krechowicz - Sustainability, 2022 - mdpi.com
Nowadays, we can observe a growing number of investment projects in the construction
industry and environmental engineering, as well as a growing interest in socially …
industry and environmental engineering, as well as a growing interest in socially …
[HTML][HTML] Application of machine learning in geotechnical engineering for risk assessment
AA Firoozi, AA Firoozi - 2023 - intechopen.com
Within the domain of geotechnical engineering, risk assessment is pivotal, acting as the
linchpin for the safety, durability, and resilience of infrastructure projects. While traditional …
linchpin for the safety, durability, and resilience of infrastructure projects. While traditional …
Passive Buildings—Big Opportunities or Big Risks? Quantitative Risk Assessment for Passive Buildings Projects
M Krechowicz, A Krechowicz - Sustainability, 2024 - mdpi.com
The building sector contributes significantly to global final energy consumption and energy-
related CO2 emissions. The demand for sustainable and energy-efficient passive buildings …
related CO2 emissions. The demand for sustainable and energy-efficient passive buildings …