IEEE

Adaptive Segmentation of IIoT Time Series Data via Change Point Detection for Machinery Fault Classification

Abstract: Predictive maintenance (PdM) is a critical concept in Industry 4.0 that aims to improve manufacturing processes by predicting the remaining useful time of machinery. The development of PdM ...
GitHub

In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian Splatting

Data used for Wheat3DGS and the baseline results for each plot (from 461 to 467) are structured as follows: Note that resolution is set to 1 to prevent image downscaling, and the training/test split ...
Ars Technica

Fed up with vibe coders, dev sneaks data-nuking prompt injection into their code

The controversy over vibe coding reached a new high this week after a developer added hidden instructions to his open source Java testing app to sabotage projects performed by AI coding agents. The ...
IEEE

UP-SAM: Uncertainty-Informed Adaptation of Segment Anything Model for Semi-Supervised Medical Image Segmentation

Abstract: Semi-supervised segmentation is extensively employed in medical image analysis due to its ability to leverage a small amount of labeled data alongside abundant unlabeled data. However, its ...
GitHub

GitHub - liulohua/ultrasound-nerve-segmentation-1: Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras · GitHub

This tutorial shows how to use Keras library to build deep neural network for ultrasound image nerve segmentation. More info on this Kaggle competition can be found ...