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

In this tutorial, we explore the power of self-supervised learning using the Lightly AI framework. We begin by building a SimCLR model to learn meaningful image representations without labels, then ...

Abstract: In out-of-distribution detection, methods based on the Mahalanobis distance have excellent performance for detecting out-of-distribution data. The Mahalanobis distance measures the distance ...

Tesla's Full Self-Driving (Supervised) feature, a semi-autonomous driving system, is being tested and debated by drivers. While some videos showcase the system successfully avoiding collisions with ...

Introduction: Accurate mapping of the spatial distribution of diverse cell types is essential for understanding the cellular organization of brain. However, the cellular heterogeneity and the ...

Abstract: Wi-Fi technology has evolved from simple communication routers to sensing devices. Wi-Fi sensing leverages conventional Wi-Fi transmissions to extract and analyze channel state information ...

Leibniz-Centre for Agricultural Landscape Research (ZALF) e.V. Email: stefan [dot] stiller [at] zalf [dot] de, stillsen [at] gmail [dot] com This repository contains the code for the study ...

ABSTRACT: Individuals demonstrate defensive mechanisms. The current study refers to the immature defense mechanisms of learners. It aims to investigate how immature defense mechanisms among learners, ...

Crop identification and monitoring of crop dynamics are essential for agricultural planning, environmental monitoring, and ensuring food security. Recent advancements in remote sensing technology and ...