GitHub

Dual Selective Fusion Transformer Network for Hyperspectral Image Classification

DSFormer is a novel Dual Selective Fusion Transformer Network for HSI classification. It adaptively selects and fuses features from diverse receptive fields to achieve joint spatial-spectral context ...
Microsoft

Infostealers without borders: macOS, Python stealers, and platform abuse

How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to distribute credential‑stealing payloads.
IEEE

Optimization of Inertial Sensor’s Sampling Frequency and Window Length for Classification of Livestock Behavior with Machine Learning

Abstract: This study conducts independent behavioral modeling for swine and cattle—two economically significant livestock species by leveraging inertial sensor data and machine learning. It ...
Frontiers

Advancing Standardized Cattle Behavior Classification with a Random Forest Model Evaluated Across Diverse Datasets

1 Cornell University Sibley School of Mechanical and Aerospace Engineering, Ithaca, United States 2 Cornell University College of Agriculture and Life Sciences, Ithaca, United States The final, ...
OSTechNix

32 Essential Python One-Liners for Python’s 32nd Anniversary

Python turns 32. Explore 32 practical Python one-liners that show why readability, simplicity, and power still define the ...