Mainly, there are two types of methods to create a bathymetric prediction using satellite imagery. Two of which are analytical methods and empirical methods. The former predicts depth using water body ...

Reconstructing the diverse conformations of biomolecules from cryoelectron microscopy datasets remains a longstanding challenge. Here, we present a method that surpasses current approaches across ...

The alternative text for this image may have been generated using AI. We next investigated the generalizability of the 2D pretrained models to the variability in sample types, which can encompass ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...

Abstract: Geographically Weighted Regression (GWR) is a local version of spatial regression that captures spatial dependency in regression analysis. GWR has many application in practice as a ...

1 Department of Mathematics, Pan African University, Institute for Basic Sciences, Technology and Innovation (PAUISTI), Nairobi, Kenya. 2 Department of Statistics and Actuarial Science, Jomo Kenyatta ...

aDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA bDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA ...

Efficiently mapping of cell types in situ remains a major challenge in spatial transcriptomics. Most spot deconvolution tools ignore spatial coordinate information and perform extremely slow on large ...

Abstract: Mangrove canopy height information is crucial to carbon stock and biomass analyses. However, estimation of this height is challenging because of the large areas involved, and the field ...

Welcome to my guide on using Python with Google Gemini API. This guide is a follow-up to my earlier article about Google’s Gemini APIs. Here, I’ll show you how to take live images using Python and ...