Mistral launches OCR 4, turning document extraction into a full enterprise AI play

Mistral AI's OCR 4 delivers structured document intelligence with bounding boxes, confidence scores, and self-hosted ...
LinkedIn

MATLAB Predictive Maintenance Toolbox: Strategies and Industrial Implementations

The industrial landscape is currently undergoing a fundamental transition from traditional maintenance philosophies toward data-driven intelligence. This evolution, framed within the context of ...
IEEE

Sensor Fault Classification Based on Support Vector Machine and Statistical Time-Domain Features

Abstract: This paper deals with the problem of fault detection and diagnosis in sensors considering erratic, drift, hard-over, spike, and stuck faults. The data set containing samples of the above ...
IEEE

An Optimized Technique for Feature Extraction and EEG Signal Processing using MATLAB

Abstract: Brain-Computer Interfaces (BCI), cognitive research, and medical diagnosis all make extensive use of electroencephalography (EEG) to analyze brain activity. However, issues with EEG signal ...
Nature

An enhanced classification system of various rice plant diseases based on multi-level handcrafted feature extraction technique

The rice plant is one of the most significant crops in the world, and it suffers from various diseases. The traditional methods for rice disease detection are complex and time-consuming, mainly ...
Frontiers

Detecting five-pattern personality traits using eye movement features for observing emotional faces

The five-pattern personality traits rooted in the theory of traditional Chinese medicine (TCM) have promising prospects for clinical application. However, they are currently assessed using a ...
www.cs.utexas.edu

Computer Vision

This is an intro course in computer vision. It is intended for upper-level undergraduate students. Computer vision is an interdisciplinary field that deals with how computers can achieve high-level ...
C&EN

Prediction Model for Coal Spontaneous Combustion Based on SA-SVM

School of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, P. R. China Shaanxi Key Laboratory of Prevention and Control of Coal Fire, Xi’an 710054, P. R. China ...
Nature

Automated detection of pain levels using deep feature extraction from shutter blinds-based dynamic-sized horizontal patches with facial images

Pain intensity classification using facial images is a challenging problem in computer vision research. This work proposed a patch and transfer learning-based model to classify various pain ...
GitHub

Crack detection using one-class SVM

This demo shows how to detect the crack images using one-class SVM. In anomaly detection, normal images can be obtained a lot, while the anomaly images are not frequenctly obtained; we cannot get ...
Frontiers

Identifying Epilepsy Based on Deep Learning Using DKI Images

Epilepsy is a serious hazard to human health. Minimally invasive surgery is currently an extremely effective treatment to refractory epilepsy. However, it is challenging to localize the lesion for ...
GitHub

Feature extraction of off-line signatures for verification using Convolutional Neural Networks

This repository contains the report and the files of the final's-year coursework, for the requirements of the B.Sc in Physics from the University of Patras. This B.Sc. thesis focuses on the research ...