Classification of remote scenes in satellite imagery has many applications, such as
surveillance, earth observation, etc. Classifying high-resolution remote sensing images in …

Architectural heritage represents an invaluable tapestry of human civilization's artistic,
cultural, and historical milestones. As urbanization and societal dynamics evolve, preserving …

The city of Yazd has a large number of traditional houses. Houses with central courtyards
and an Iwan were suitable for establishing thermal comfort conditions. In this research, the …

Land-use and land-cover (LULC) classification is an active research challenge in the area of
remotely sensed satellite images due to critical applications, such as resource management …

Yazd is located in a hot-dry region with harsh weather conditions. Houses with an iwan were
suitable for establishing comfort conditions in the past. An evaluation of the visual comfort …

Bahrain has a rich architectural heritage that is reflected in its forts and houses. The forts and
houses of Bahrain are not only important cultural landmarks but also serve as examples of …

In this paper, a novel approach for classifying archeological sites using publicly available
images through the use of Convolutional Neural Networks (CNNs) is presented. To …

In this research, we address the challenge of manually categorizing architectural heritage
images, which is time-consuming and subjective. We propose an automated image …

Intelligent traditional architecture in Iran functions as a sustainable system with the goal to
achieve thermal comfort. Buildings in Iranian architecture have a strong connection with the …

Deep learning has recently made great progress leading to revolutionizing image
recognition, speech recognition, and natural language processing tasks that were previously …