Abstract: Early and accurate detection of melanoma remains a critical challenge in medical imaging. Convolutional Neural Networks (CNNs) have demonstrated superior classification performance, often ...

In this study, we propose an exact method for optimizing a linear function over the efficient set of a multi-objective transportation problem (MOTP). This type of problem arises when a decision maker ...

I tried a custom ranking objective function for LGBMRanker but LGBMRanker does not call the custom loss function with the group argument, which is mandatory for learning to rank. import lightgbm as ...

notice that in veci = 5. * lbl [:, -2:] loss = criterion (y [:, -3:-1], veci), you compute mse bewteen GT and prediction. GT flows are multiplied by a factor of 5, while the prediction is not.

1 Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou, China 2 NARI Technology Co., Ltd., Nanjing, China The stability and economic dispatch efficiency of ...

Industrial organizations are racing to implement AI, yet many struggle to demonstrate concrete value from their investments. The missing element isn't better algorithms or more data; it's clarity ...

Abstract: Over the most recent couple of years, the Internet of Things (IoT) has end up being an intriguing and promising worldview that means to add to endless applications by interfacing more ...