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This paper proposes a high-confidence manipulation localization architecture that utilizes resampling features, long short-term memory (LSTM) cells, and an encoder–decoder network to segment out ...
Accurate traffic flow prediction is becoming increasingly important for transportation planning, control, management, and information services of successful. Numerous existing models focus on ...
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Sequencing method provides unprecedented glimpse into relationship between bacteria and their host cellsRoi Avraham's team at the Weizmann Institute of Science, researchers have identified differences among the proteins that various bacterial subspecies inject into their hosts, which could explain ...
Researchers at the University of Copenhagen are taking another look at the "Othello world model" hypothesis, asking whether large language models can pick up the rules and board structure of Othello ...
The susceptibility to matrix metalloproteinases (MMPs) directly affects the functions and applications of collagen biomaterials. In this work, we demonstrated that this property can be manipulated in ...
Text Summarization Using Encoder-Decoder (Seq2Seq) Model This repository implements a text summarization pipeline using an encoder-decoder (Seq2Seq) architecture with LSTM layers in TensorFlow/Keras.
At the moment I only get the Image sequence options when I'm using one of the predefined presets, when I input my own function I can only run as single file.
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