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This paper explores the transformative role of Building Information Modelling (BIM) in enhancing stakeholder engagement in transportation infrastructure projects. Drawing on literature, real-world case studies, and survey results from 32 st…

This study presents a Hybrid Digital-Physical Risk Management Framework designed to enhance urban climate resilience through the integration of Industry 4.0 technologies. By combining real-time IoT sensor networks, AI-based predictive analy…

Airport terminal buildings are a reflection of modern technology, as well as representation of the distinctive identity of each country and contemporary interior design trends. This paper aims to examine the impact biophilic design has on p…

Interior lighting profoundly affects health, perception, and comfort. This study investigates key lighting parameters—intensity, spectrum, exposure timing, and spatial layout—and their physiological and psychological effects. Based on scena…

This study proposes a climate-adaptive framework for modular micro-living units as a construction-based response to growing urban challenges related to climate resilience, densification, and housing affordability. The design integrates pref…

This study offers a comparative analysis of construction risk management practices in the United Kingdom (UK) and Türkiye, focusing on regulatory frameworks, technological integration, and practical methodologies. The UK, utilizing the Cons…

This study presents a comparative analysis of post-earthquake recovery governance in Türkiye and Japan, focusing on the 1999 Kocaeli, 2011 Tōhoku, and 2023 Kahramanmaraş earthquakes. Employing qualitative document analysis and cross-case ti…

This study investigates the return on investment (ROI) of Building Information Modelling (BIM) in the construction industry and addresses common barriers to its adoption such as high start-up costs and lack of familiarity with the technolog…

Heritage restoration projects face numerous challenges, including the preservation of historical accuracy, effective stakeholder collaboration, and maintaining transparent records of interventions. This paper proposes a theoretical framewor…

Few ancient structures inspire spiritual reverence and architectural awe like the Roman Pantheon. Designed as a temple and a cosmological instrument, the Pantheon depicts how Roman architects transformed daylight into a divine symbol. This …

Courtyards hold significant functional value in both traditional and contemporary architecture. They serve as open-air spaces that facilitate social interaction for users within urban environments. In order for these spaces to be utilized m…

Heritage buildings are valuable cultural and historical assets that create tangible connection to our past and provide many social and economic benefits. These buildings are often threatened by various environmental and human factors, which…

The rapid growth of city populations and the increasing complexity of managing city infrastructure have led to the emergence of smart cities, which rely on advanced technologies to optimise urban services. However, one of the key challenges…

The Designesart Collection was created as part of the master’s program in Furniture and Interior Design at the Instituto Politécnico de Castelo Branco’s Escola Superior de Artes Aplicadas, Portugal. It is a product series that values inhere…

A universally applicable “optimal photobioreactor” design has yet to be established, as the success of such systems varies depending on the algal species used, environmental conditions, and intended applications. Meanwhile, the accelerating…

This study presents a comparative evaluation of five widely adopted blockchain consensus algorithms—Proof of Work (PoW), Proof of Stake (PoS), Delegated Proof of Stake (DPoS), Practical Byzantine Fault Tolerance (PBFT), and Proof of Authori…

Robust object detection and classification in dynamic industrial scenarios is still a challenge, in particular if the system has to work in real-time on mid-ranged hardware. Classical vision-based methods have difficulties to cope with low/…

Diabetes is a chronic disease affecting millions worldwide, necessitating early and accurate diagnosis for effective management. Traditional diagnostic methods, while reliable, often struggle with efficiency and early-stage detection. Deep …

Author research interest is using AI tools in learning in any field connected with education. In this study proposes the idea of how to make the educational process more flexible in the post-pandemic period using the Artificial Intelligence…

In this study, diabetes prediction was conducted using XGBoost, Support Vector Machines (SVM), and a Multilayer Artificial Neural Network (ANN). Attributes that cannot be biologically ‘0’ (e.g. glucose, BMI) were first marked as NaN. After …