Communications of the ACM

When Images Fool AI Models

Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...
Optometry Advisor

AAO: Machine Learning Outperforms Human Graders for Diagnosing Glaucoma

HealthDay News — Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting of the American Academy of Ophthalmology, held from Oct.
IEEE

Automated Classification of User Exercise Poses in Virtual Reality Using Machine Learning-Based Human Pose Estimation

Abstract: Human Pose Estimation (HPE) using machine learning presents significant potential for objectively analyzing user movements within Virtual Reality (VR) environments, particularly for ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
Nature

Machine-learning model generates images using light

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...
IEEE

Accurate and Efficient Fluid Flow Regime Classification Using Localized Texture Descriptors and Machine Learning

Abstract: This paper presents an image-based framework for classifying fluid flow regimes into low and high-speed states by utilizing spatially localized texture features combined with machine ...
ABC News

IndyCar says it was unaware of DHS's use of AI-generated image featuring ICE branding

DHS shared the image after announcing an Indiana ICE detention center. IndyCar said they were not aware of the Department of Homeland Security (DHS) plan to release an AI-generated image of an IndyCar ...
Scientific Research Publishing

Liu, S.Q. (2023) Research on the Application of Machine Learning-Based Fault Warning Method in Risk Management of Internet of Vehicles Projects. Ph.D. Thesis, South-West ...

ABSTRACT: Objective: To develop and validate a machine learning-based risk prediction model for postoperative nausea and vomiting (PONV) following gynecological day hysteroscopy, providing ...
Scientific Research Publishing

Utubor, S. (2023) Improving Detection of Attacks in Cyber-Physical Systems: Applying Gradient Boosting Based Machine Learning Techniques. Ph.D. Thesis, The George Washington ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
Frontiers

Classification of neurodegenerative diseases using brain effective connectivity and machine learning techniques: a systematic review

Department of Preventive Medicine, College of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China Background: Effective connectivity (EC) refers to the ...