A group of metal detectorists recently went on an epic summerlong adventure in the European countryside – and discovered a jackpot of ancient riches. Based in the central Polish city of Kalisz, the ...
ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...
Abstract: We have developed an innovative framework for analyzing online public sentiment, referred to as the Online Public Opinion Situation Assessment (OPOSA) model. This model employs Deep Sparse ...
Introduction: Predicting the relationship between diseases and microbes can significantly enhance disease diagnosis and treatment, while providing crucial scientific support for public health, ...
Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...
Electric Vehicle (EV) cost prediction involves analyzing complex, high-dimensional data that often contains noise, multicollinearity, and irrelevant features. Traditional regression models struggle to ...
And here are related dependencies and training environment Libraries: torch==2.5.1 sparseml==1.8.0 deepsparse==1.8.0 ultralytics==8.0.124 onnx==1.14.1 onnxruntime==1.17.0 Training Environment: NVIDIA ...
Abstract: Analysis of electroencephalographic (EEG) data has shown to be a useful tool in the fields of Brain-computer interfaces (BCIs), and even business. Recently, deep learning architectures have ...
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