Microsoft

StealC and Amadey: Breaking down infostealers and the cybercrime services that deliver them

On June 24, 2026, Microsoft’s Digital Crimes Unit (DCU) facilitated the takedown, suspension, and blocking of domains that ...
C&EN

Boosting: An Ensemble Learning Tool for Compound Classification and QSAR Modeling

Biometrics Research and Molecular Systems, Merck Research Laboratories, P.O. Box 2000, Rahway, New Jersey 07065, and Department of Statistics, University of WisconsinMadison, Madison, Wisconsin 53706 ...
Nature

Soil classification in the Sudan Savanna using sentinel products and topographic information with machine learning models

Accurate soil information is crucial for sustainable agricultural planning and land management, particularly in data-scarce regions, such as the Sudan Savanna, the largest sorghum-producing area in ...
Nature

A map of high-altitude wetlands in the world’s major mountain regions

We present a first global high-resolution map (30 m x 30 m) of high-altitudinal wetlands in the world’s major mountain regions, i.e. the Andes, Rocky Mountains, Alps and High Mountain Asia. To map ...
GitHub

scikit-eo: A Python package for Remote Sensing Data Analysis

Nowadays, remotely sensed data has increased dramatically. Microwaves and optical images with different spatial and temporal resolutions are available and are used to monitor a variety of ...
Scientific Research Publishing

Temporal Profile Analysis of Sentinel-1 Image to Identify T. Aman Rice Varieties in the Coastal Region of Bangladesh ()

1 School of Agriculture and Environmental Science, University of Southern Queensland, Toowoomba, Australia. 2 Irrigation and Water Management Division, Bangladesh Rice Research Institute (BRRI), ...
C&EN

KGG: Knowledge-Guided Graph Self-Supervised Learning to Enhance Molecular Property Predictions

Faculty of Pharmacy, University of Medicine and Pharmacy at Ho Chi Minh City, 41 Dinh Tien Hoang, District 1, Ho Chi Minh City 700000, Vietnam ...
GitHub

AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Agriculture Mapping

This repository is the code implementation of the paper AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Agriculture Mapping. AgriFM is a multi-source temporal remote sensing ...
Frontiers

Bi-modal contrastive learning for crop classification using Sentinel-2 and Planetscope

Remote sensing has enabled large-scale crop classification for understanding agricultural ecosystems and estimating production yields. In recent years, machine learning has become increasingly ...
The Lancet

Profile of cardiac lesions among laboratory confirmed congenital rubella syndrome (CRS) infants: a nationwide sentinel surveillance, India, 2016–22

CRS Surveillance Group: Praveen Kumar, Parul Chawla Gupta, Sanjay Munjal, Naveen Sankhyan, Nabaneeta Dash, Madhu Gupta, Ria Sai, Vishaly Sharma (Postgraduate Institute of Medical Education and ...
IEEE

TimeSen2Crop: A Million Labeled Samples Dataset of Sentinel 2 Image Time Series for Crop-Type Classification

Abstract: This article presents TimeSen2Crop, a pixel-based dataset made up of more than 1 million samples of Sentinel 2 time series (TSs) associated to 16 crop types. This dataset, publicly available ...