An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Nanomaterials, Energy Storage, Electrochemical Sensors, Sensing Technologies Share and Cite: Anney, A. and Biswas, S. (2026) ...
Abstract: In a recent paper, the authors proposed a new class of low-complexity iterative thresholding algorithms for reconstructing sparse signals from a small set of linear measurements. The new ...
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Building trustworthy AI for high-stakes, real-time production environments
The next wave of AI will be judged by accuracy and, better yet, by reliability under stress. Across finance, healthcare and ...
Purpose: Compressed-sensing (CS) methods can decrease the acquisition time for T 1-weighted (T 1 w) structural MRI images to 1–2 min. Rapid acquisitions reduce participant burden, reduce the risk of ...
Abstract: Basic compressed-sensing algorithms for image reconstructions mainly deal with the computation of sparse regularization. Remote sensing applications often have multisource or multitemporal ...
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