This article presents a state-of-the-art review of the applications of Artificial Intelligence (AI),
Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in …

In the fight against climate change, and to improve its sustainability standards, the building
sector is trying to reduce its energy consumption and environmental footprint. Leveraging …

In the dynamic field of architecture, the incorporation of state-of-the-art technologies is
crucial for advancing design methodologies and achieving groundbreaking solutions. This …

Purpose: This study aims to proof the necessity and capabilities of proposed our novel
hybrid deep learning approach for gender recognition using human ear images. The study …

Küreselleşme etkisi altında gözlenen büyüme süreçleri ve yoğun nüfus hareketliliği
nedeniyle gittikçe karmaşıklaşan kentsel faaliyetlerin yarattığı sorunlara alışılagelen …

Purpose: The aim of this paper is to demonstrate that it is possible to identify tree species
from images of barks by using transfer learning method with convolutional neural networks …

The Artificial Intelligence (AI) is being considered as a new way to tackle the challenges
frequently faced by the Architecture, Engineering and Construction (AEC) industry in terms …

Günümüzde insan kulak görüntülerinin kullanımı, biyometrik yetkilendirme ve gözetleme
sistemlerinin sürdürülebilirliği adına önem kazanmaktadır. Güncel çalışmalar, böyle …

Classification varieties of marble and granite by convolutional neural networks with transfer
learning method Page 1 Journal of the Faculty of Engineering and Architecture of Gazi …

Türkiye 120'den fazla farklı renk ve desende mermer rezervi ile dünya mermer
potansiyelinin% 40'na sahiptir. Ayrıca 20'ye yakın granit rezervleriyle de yüksek potansiyele …