Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...
AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
Abstract: In recent years, convolutional neural networks (CNNs) have been impressive due to their excellent feature representation abilities, but it is difficult to learn long-distance spatial ...
Shifting focus on a visual scene without moving our eyes - think driving, or reading a room for the reaction to your joke - ...
Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
Shifting focus on a visual scene without moving our eyes—think driving, or reading a room for the reaction to your joke—is a ...
The patent reinforces Rail Vision’s global IP protection building on previous approvals in regions including the United ...
William Shakespeare is undeniably one of the most famous writers in human history. The 39 shows attributed to the “Bard of Avon” have been performed, adapted, and studied innumerable times in the ...
We have explained different types of Artificial Intelligence technology, from Narrow AI to AGI with examples so you can ...
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