Relevant research has investigated how predictive modeling algorithms, deep-learning-
based sensing technologies, and big urban data configure immersive hyperconnected …

The sustainability improving must be supported in the achievement of the sustainable
development goals (SDGs). The research shows a procedure, establishing 136 indicators …

Based on an in-depth survey of the literature, the purpose of the paper is to explore digital
twin modeling, multi-sensor data fusion techniques, and geo-spatial map** and virtual …

Large volumes of water are used in energy production for both primary (eg, fuel extraction)
and secondary energy (eg, electricity). In countries such as China, with a large internal trade …

The trade of resources geographically bridges production and consumption, driving
telecoupling between resource extraction and distant consumption. However, the …

Urban waterlogging poses a severe threat to lives and property globally, making it crucial to
identify the distribution of urban value and waterlogging risk. Previous research has …

The rapid development in water-energy systems calls for advanced modeling and
optimization tools to improve the technologies throughputs and minimize their energy …

Due to increasing advancements in the field of technology the agricultural sector is
experiencing a drastic change, this paradigm shift is the result of integrating technologies …

This research aims to conceptualise the use of the digital twins (DT) tool in tourism to
address smart tourist destinations' future challenges to enhance tourists' experiences and …

The growing negative anthropogenic impact on the environment causes scientific interest in
the problems of water management. The increasing number of publications in this scientific …