Abstract: Conventional three-dimensional (3D) inversion algorithms for the transient electromagnetic method (TEM) require time-domain discretization in both forward and adjoint modeling. These ...

Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...

Globally, subtle hydrocarbon reservoirs in petroliferous basins have always been challenging targets for exploration research, with thin sand body reservoir prediction being a key focus in this field.

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

The meat of the Even Realities G2 glasses is what the user sees. It’s the experience of wearing a pair of glasses that shows ...

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

A 91-year-old man with a history of bladder carcinoma and left total knee arthroplasty was evaluated because of left knee pain. A culture of synovial fluid showed no growth. A diagnosis was made.

This study aims to assess water quality and its suitability in terms of consumption and irrigation in the Noun Catchment Area (NCA) in the Western Highlands of Cameroon. To achieve this objective, 19 ...

A woman in her 40s presented with progressive cognitive decline, expressive language difficulty and episodic confusion. Her initial symptoms were misattributed to psychiatric illness, and later to ...