Construction scheduling is a complex process that involves a large number of variables,
making it difficult to develop accurate and efficient schedules. Traditional scheduling …

Automatic waste detection in natural environments exhibits a great potential to improve the
efficiency and reduce the labor cost of waste management. Recent deep learning-based …

A study on interrelations of structural systems and main planning considerations in
contemporary supertall buildings | Emerald Insight Books and journals Case studies Expert …

Abstract Design optimization of steel structures significantly impacts cost reduction in
buildings. However, previous studies mainly targeted optimizing individual structural …

Purpose This research aims to create a methodology that integrates optimization techniques
into preliminary cost estimates and predicts the impacts of design alternatives of steel …

Abstract Post-COVID-19, construction projects faced several scenarios because many
projects were delayed for the scheduled time. Owners and contractors work to achieve the …

Artificial intelligence technology is applied in numerous fields. Several countries around the
world have introduced national policies on artificial intelligence, and the competition for this …

With the rapid development of Internet technology and artificial intelligence, information
technology has shown a trend of exponential growth. To improve the core competitiveness …

Nowadays, value engineering (VE) has become an essential application in many fields,
especially structural engineering. Bridges normally experience local damages throughout …

This research studies prediction models for optical water properties, which are very
important to save time consumption to easy control of irrigation systems to make it smart …