Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate ...
Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
Accurate detection of PIK3CA mutations is essential for personalizing breast cancer treatment, particularly with ...
Breast cancer is one of the most common malignancies worldwide, and mutations in the PI3K/AKT/mTOR (PAM) signaling pathway ...
CA-MTransUNet: Cloud-Aware Mixture-of-Experts Linear Transformer U-Net for forest burned area (FBA) mapping using Sentinel-1 and Sentinel-2 images. Big Earth Data, 1–30. Wildfires are becoming more ...
Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...
Kumo Launches KumoRFM-2, A Foundation Model Built to Replace Traditional Enterprise Machine Learning
Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...
The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in Intelligent Medicine (February 2026, Volume 6, Issue 1), ...
The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in ...
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
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