This book outlines the data-driven modelling of building energy performance to support retrofit decision-making. It explains how to determine the appropriate machine learning (ML) model, explores the selection and expansion of a reasonable dataset and discusses the extraction of relevant features and maximisation of model accuracy.
This book develops a framework for the quick selection of a ML model based on the data and application. It also proposes a method for optimising ML models for forecasting buildings energy loads by employing multi-objective optimisation with...
This book outlines the data-driven modelling of building energy performance to support retrofit decision-making. It explains how to determin...
This book significantly contributes the digital transformation of construction. The book explores the capabilities of deep learning to provide smart solutions for the construction industry, particularly in areas of managing equipment, design optimization, energy optimization and detect cracks for buildings and highways. It provides conceptual solutions but also practical techniques. A new deep learning CNN-based highway cracks detection is demonstrated, and its usefulness is tested. The resulting deep learning CNN model will enable users to scan long distance of highway and detect types of...
This book significantly contributes the digital transformation of construction. The book explores the capabilities of deep learning to provide smar...
This book significantly contributes the digital transformation of construction. The book explores the capabilities of deep learning to provide smart solutions for the construction industry, particularly in areas of managing equipment, design optimization, energy optimization and detect cracks for buildings and highways. It provides conceptual solutions but also practical techniques. A new deep learning CNN-based highway cracks detection is demonstrated, and its usefulness is tested. The resulting deep learning CNN model will enable users to scan long distance of highway and detect types of...
This book significantly contributes the digital transformation of construction. The book explores the capabilities of deep learning to provide smar...
Lilia Potseluyko Farzad Pour Rahimian Nashwan Dawood
This book explores the applications of virtual reality technologies in building design and offsite construction. Its focus is on how small and medium-sized architectural and construction practices with limited budgets and time can implement innovation through visualisation creation. Virtual reality technologies, known as empathy machines, offer a productive interaction process for clients and professionals. Gaming and simulation have already proven their efficacy in solving problems in science and business. However, the next challenge is designing data-rich virtual environments that can...
This book explores the applications of virtual reality technologies in building design and offsite construction. Its focus is on how small and medium-...
Potseluyko, Lilia, Farzad Pour Rahimian, Dawood, Nashwan
This book explores the applications of virtual reality technologies in building design and offsite construction. Its focus is on how small and medium-sized architectural and construction practices with limited budgets and time can implement innovation through visualisation creation.
Virtual reality technologies, known as empathy machines, offer a productive interaction process for clients and professionals. Gaming and simulation have already proven their efficacy in solving problems in science and business. However, the next challenge is designing data-rich virtual environments...
This book explores the applications of virtual reality technologies in building design and offsite construction. Its focus is on how small and medi...