The metaheuristic algorithm is a very important area of research that continuously improves
in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm …

Optimizing the building performance at the early design stage is justified as a promising
approach to achieve many sustainable design goals in buildings; in particular, it opens a …

Satisfying thermal comfort in indoor spaces is still a challenge in terms of energy saving, and
several HVAC (Heating, Ventilation, and Air-Conditioning) systems have been proposed for …

The presented study aims to clarify the implications of passive design measures on heating
and cooling energy use of single-family residential buildings under European representative …

In the early phases of building design, it is essential to quantify the relevance of passive
design measures in order to assure the desired thermal performance of buildings throughout …

Hospitals and health centres consume a vast amount of energy due to various reasons such
as working hours and using different appliances. As most of the countries are moving …

Convolutional neural networks (CNNs) are successfully used for solving image classification
tasks. Manually designing efficient neural network architecture requires expertise in CNN …

Building performance optimization (BPO) is effective for designers to explore passive
building alternatives based on defined performance metrics. As the first step of BPO, the …

The development of passive buildings is of great significance for sustainable development
worldwide. However, the features of passive buildings are high capital investment with long …

A haptic device (HD) is used to simulate a virtual object (VO) for its operator. Since most real
objects can be simulated with a spring and damper, the VO is also implemented as a spring …