He described the scope of the problem as staggering. The National Center for Missing and Exploited Children said the number of AI-generated child sexual abuse images reported to its cyber tipline ...
This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...
Abstract: Distributed Acoustic Sensing (DAS) instrument connected to dark fibers that widely deployed near roads can collect quasi-static strain signals generated by vehicles over a large range. This ...
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
A study has found that the way medical images are prepared before analysis can have a significant impact on the performance of deep learning models.
Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.
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 ...
Alongside the model, a high-quality benchmark dataset covering 101 pest and disease classes has been publicly released. Together, they offer a ...
FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...
The global computer vision in healthcare market is projected to expand at a compound annual growth rate (CAGR) of approximately 25% over the forecast period. This robust growth is driven by the ...
As highlighted by Towards Packaging research, the global artificial intelligence (AI) in the packaging design market, valued ...
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