Abstract: This letter introduces multitask learning for agricultural field extraction (MT4AFE), a new large-scale dataset dedicated to the semantic segmentation of agricultural fields. MT4AFE consists ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Aim: Specific, Measurable, Achievable, Realistic, Time-bound (SMART) goals are commonly used in educational settings as a strategy to optimise learning. However, research and theory suggest that such ...
Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...
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