This study is conducted in accordance with a systematic literature review (SLR) protocol.
SLR is tasked with finding publications, publishers, deep learning types, enhanced and …

This paper explores the utilisation of machine learning in architecture, focusing on the
addressed problems and commonly employed programming languages, software, platforms …

Semantic segmentation of remote sensing images is a fundamental task in computer vision,
with significant applications in forest and farmland cover surveys, geological disaster …

Accurate rooftop solar energy potential characterization is critically important for promoting
the wide penetration of renewable energy in high-density cities. However, it has been a long …

In recent times, there has been a growing interest in urban building energy modeling
(UBEM), owing to its potential benefits for cities. These benefits include aiding city decision …

Accurate evaluation of rooftop solar potential is increasingly important in sustainable urban
development. However, accurately evaluating the solar photovoltaic (PV) potential of …

In computer-aided diagnosis tools employed for skin cancer treatment and early diagnosis,
skin lesion segmentation is important. However, achieving precise segmentation is …

The U-Net-like model has been widely studied in the field of building extraction. However,
most of these models are based on locally sensed convolutional neural networks (CNNs) …

The buildings in the rural areas of Morocco exist in various shapes and sizes. They are
randomly distributed and are generally constructed of primary materials such as clay, wood …

Remote sensing nighttime lights (NTLs) offers a unique perspective on human activity, and
NTL images are widely used in urbanization monitoring, light pollution, and other human …