ABSTRACT: The sugar moieties of anthocyanins can be acylated via enzymatic transesterification, which improves their solubility in lipids and enhances their stability to external factors such as light ...
Abstract: In the fields of image recognition and machine learning, data augmentation is crucial for enhancing the generalization ability of models. Traditional data augmentation techniques suffer from ...
Microsoft has just announced a major upgrade to Python in Excel, allowing you to directly analyze and manipulate images within your spreadsheets. The feature is available for Excel on Windows, Mac, ...
The well-funded and innovative French AI startup Mistral AI is introducing a new service for enterprise customers and independent software developers alike. Mistral's Agents application programming ...
Deep learning project comparing CNN and MobileNetV2 for image classification on a small, imbalanced dataset. Covers preprocessing, augmentation, training, evaluation, and performance analysis. Tools: ...
ABSTRACT: This paper focuses on the use of YOLOv12 for the early detection of Sexually Transmitted Infections, which are a global public health challenge. YOLOv12 is a deep-learning model released on ...
TFOps-Aug: Implementation of policy-based image augmentation techniques based on TF2 Operations. All augmentations as efficient Tensorflow 2.11.0 operations. Easy integration into a tf.data API ...
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