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Abstract: Image analysis based on biological morphological differences is an important development direction for classification and determination of planktonic algae. However, it has some shortages, ...

Abstract: Accuracy assessment is essential in all image classification-related fields, ranging from molecular imaging to earth observation. However, existing accuracy metrics are too sensitive to ...

Summary: A precision neuro-engineering and computational intelligence breakthrough successfully engineered an artificial intelligence platform to decode and objectify human pain. The research ...

For the classification and zoning study of crops at Jianshan Farm, data were acquired by integrating Sentinel-2 optical satellite imagery with Sentinel-1 radar satellite imagery. Different crop ...

Hai L. Vu is a Professor and the recipient of the Australian Research Council (ARC) Future Fellow Award (2012-2016) in the area of Intelligent Transport Systems (ITS). He joined Monash University in ...

An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, https://arxiv.org/abs/1708.02002, generalized to the multi-class case. It is ...

Ecosystem-agnostic edge camera deploys in 1 minute and delivers enterprise AI capabilities at cost of a basic vision sensor, ...

The Bloomberg Municipal Bond Index returned -0.18% (including interest payments and price changes) for the quarter.

In case you use any of the components for your research, please refer to (and cite) this paper: "LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in ...

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...

Motor imagery (MI) is one of the most widely used paradigms in electroencephalogram (EEG)-based brain–computer interfaces (BCIs). In recent years, deep learning and transfer learning techniques have ...