Abstract: Basic compressed-sensing algorithms for image reconstructions mainly deal with the computation of sparse regularization. Remote sensing applications often have multisource or multitemporal ...

Abstract: Communication signals are characterized by large data volumes, diverse modulation schemes, and complex time-frequency structures. Under such conditions, traditional compressive sensing ...

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 ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

The next wave of AI will be judged by accuracy and, better yet, by reliability under stress. Across finance, healthcare and ...

Nanomaterials, Energy Storage, Electrochemical Sensors, Sensing Technologies Share and Cite: Anney, A. and Biswas, S. (2026) ...

Global MRI Market Expands Amid Rising Investments in Precision DiagnosticsThe Global MRI (Magnetic Resonance Imaging) Market ...

A motion control strategy based on multi-source heterogeneous motion information fusion and motion decoupling parallel washout algorithm (WA) is proposed for the control of a rehabilitation robot ...