Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...
Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
The study’s AI-generated maps showed that the Locride area, located within the Aspromonte Geopark, faced the highest drought ...
With a projected market size of $166.6 billion by 2029, alloy steel remains vital for industrial processes, driven by its ...
CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...
Accurate land cover mapping underpins biodiversity protection, climate adaptation, and sustainable land use. Despite advances ...
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
A new study published in the journal of Cureus revealed that the effects of smoking stretch beyond the lungs and heart, and ...
A research team has developed advanced methodologies for predicting the aboveground biomass (AGB) of corn by integrating unmanned aerial vehicles (UAVs), multi-sensor data, and machine learning models ...
A research team has reviewed how machine learning (ML) is revolutionizing fermentation design and process optimization by ...
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