Food waste is a major obstacle in managing inequality, optimizing living conditions, and promoting prosperity, specifically among the world's most starving economies. Its influences stretch to preventing food supply; it alters financial maturation, c...
The safety and reliability of chemical equipment are crucial to industrial production, as they directly impact production efficiency, environmental protection, and personnel safety. However, traditional fault detection techniques often exhibit limita...
Cultivated land is one of the most valuable agricultural resources; its quality is not only the foundation of national food security but also a crucial issue for global sustainable development. However, owing to data limitations and spatial heterogen...
Amid substantial capital influx and the rapid evolution of online user groups, the increasing complexity of user behavior poses significant challenges to cybersecurity, particularly in the domain of vulnerability prediction. This study aims to enhanc...
Better urban planning depends on assessing how land use and land cover (LULC) have evolved in recent decades and what the prospects are for change in the future. Cities are the result of various factors interacting, and land configuration directly in...
Climate change is causing more frequent and extraordinary extreme weather events that are already negatively affecting crop production. There is a need for improved climate risk assessment by developing smart adaptation strategies for sustainable fut...
To more accurately capture the expression of the English humanistic landscape in agricultural industrial parks under the emerging agricultural paradigm of fish-vegetable symbiosis, and to address the limitations of unscientific evaluation standards a...
Rapid and disorderly urban expansion leads to productivity loss, habitat fragmentation, and reduced land marginal returns, hindering sustainable urban development. Scientific identification of land use conflicts (LUCs) and understanding their driving...
The integration of artificial intelligence (AI) in wastewater treatment management offers a promising approach to optimizing effluent quality predictions and enhancing operational efficiency. This study evaluates the performance of machine learning m...
Time series prediction is a widely used key technology, and traffic flow prediction is its typical application scenario. Traditional time series prediction models such as LSTM (Long Short- Term Memory) and CNN (Convolution Neural Network)-based model...
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