Research

Detecting feature requests of 3rd-party developers via machine learning: A case study of the SAP Community

Researchers from the Technical University of Munich, University of Innsbruck and SAP Deutschland set out to test whether the use of supervised machine learning models can be an effective means for the identification of feature requests.

Real-time segmentation of desiccation cracks onboard UAVs for planetary exploration

Researchers from Queensland University of Technology studied the use of Unmanned Aerial Vehicles (UAVs) to detect and highlight areas with desiccation cracks for closer inspection to look for habitable environments and traces of life (biosignatures).

Fruit flower detection in apple orchards using ML

Researchers from the University of Guleph recently demonstrated the effective use of machine vision and learning technologies to support the development of smart agriculture.

Automated recognition of cricket batting techniques in videos using deep learning

Researchers from the University of Johannesburg recently studied how complex batting techniques in cricket can be more efficiently analyzed using machine learning.

Better gait and posture classification using sensors in individuals with mobility impairment after a stroke

Researchers from the University of Zurich recently developed and validated a solution for better monitoring the gait and posture of individuals who have suffered a stroke via sensors.

Generating integrated bill of materials using mask R-CNN models for construction

Researchers from Pusan National University studied how to utilize AI to identify and generate concrete formworks.

An AI-based computer-aided system for better knee osteoarthritis assessment

Researchers from the Medical University of Graz recently collaborated to analyze the impact of an artificial intelligence (AI)-based computer system on the accuracy and agreement rate of board-certified orthopedic surgeons to detect X-ray features indicative of knee OA (osteoarthritis assessment).

Lightweight multi-drone detection and 3D-localization via YOLO

Researchers from Indian Institute of Technology Kanpur recently evaluated a method to perform real-time multiple drone detection and three-dimensional localization using state-of-the-art tiny-YOLOv4 object detection algorithm and stereo triangulation.

Automated detection of malaria parasites using convolutional neural networks

Researchers from Imperial College London recently focused on developing an automated image analysis method to improve accuracy and standardization of smear inspection that retains capacity for expert confirmation and image archiving.

Automatic recognition of emotional subgroups in images

Researchers from Vrije Universiteit Amsterdam are advancing better ways to combine social group detection and group emotion recognition in images especially for use cases such as crowd surveillance or event analysis.