Diagnosis driven Anomaly Detection for CPS [PDF]
In Cyber-Physical Systems (CPS) research, anomaly detection (detecting abnormal behavior) and diagnosis (identifying the underlying root cause) are often treated as distinct, isolated tasks. However, diagnosis algorithms require symptoms, i.e. temporally and spatially isolated anomalies, as input. Thus, anomaly detection and diagnosis must be developed
arxiv
The prevalence of, and factors associated with, paying for sex among men resident in Britain: findings from the third national survey of sexual attitudes and lifestyles (Natsal-3) [PDF]
Objectives Men who pay for sex (MPS) are considered a bridging population for sexually transmitted infections (STI). However, the extent, characteristics and role of MPS in transmission is poorly understood. We investigate these questions using data from
Clifton, S.+11 more
core +1 more source
Breast Ultrasound Computer-Aided Diagnosis: Analysis of Types of Errors
Purpose: The aim of this study was to evaluate the diagnostic performance of breast ultrasound (US) computer-aided diagnosis (CAD) to distinguish between benign and malignant lesions and analyze features of lesions interpreted with errors ...
Min Kyung Jeong+3 more
doaj +1 more source
Applications of artificial intelligence within education [PDF]
Computers have been employed within the field of education for many years, often with disappointing results. However, recent and current research within the field of artificial intelligence (AI) is having a positive impact on educational applications ...
Jones (Colbourn), Marlene
core +1 more source
Key points Computer-aided diagnostics has potential to predict the nature of ovarian tumors. Literature shows heterogeneous sensitivity and specificity of machine learning on ultrasound images, CT-scan images and MRI-scan images. More prospective studies
Anna H. Koch+8 more
doaj +1 more source
Computer-assisted versus oral-and-written dietary history taking for diabetes mellitus [PDF]
Background: Diabetes is a chronic illness characterised by insulin resistance or deficiency, resulting in elevated glycosylated haemoglobin A1c (HbA1c) levels.
Alberti+42 more
core +1 more source
Anytime Diagnosis for Reconfiguration [PDF]
Many domains require scalable algorithms that help to determine diagnoses efficiently and often within predefined time limits. Anytime diagnosis is able to determine solutions in such a way and thus is especially useful in real-time scenarios such as production scheduling, robot control, and communication networks management where diagnosis and ...
arxiv
Easy Diagnosis of Asthma: Computer-Assisted, Symptom-Based Diagnosis [PDF]
Diagnosis of asthma is often challenging in primary-care physicians due to lack of tools measuring airway obstruction and variability. Symptom-based diagnosis of asthma utilizing objective diagnostic parameters and appropriate software would be useful in
Chang, Suk-Il+13 more
core +3 more sources
Robust Fault Diagnosis by Optimal Input Design for Self-sensing Systems [PDF]
This paper presents a methodology for model based robust fault diagnosis and a methodology for input design to obtain optimal diagnosis of faults. The proposed algorithm is suitable for real time implementation. Issues of robustness are addressed for the input design and fault diagnosis methodologies.
arxiv +1 more source
Generalized Out-of-distribution Fault Diagnosis (GOOFD) via Internal Contrastive Learning [PDF]
Fault diagnosis is crucial in monitoring machines within industrial processes. With the increasing complexity of working conditions and demand for safety during production, diverse diagnosis methods are required, and an integrated fault diagnosis system capable of handling multiple tasks is highly desired.
arxiv