Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction

Detection of Congenital Mullerian Anomalies Using Real-Time 3D Sonography

Exploring Food Detection Using CNNs

One of the most common critical factors directly related to the cause of a chronic disease is unhealthy diet consumption. In this sense, building an automatic system for food analysis could allow a better understanding of the nutritional information with respect to the food eaten and thus it could help in taking corrective actions in order to consume a better diet. The Computer Vision community...

Real-time damage detection of bridges using adaptive time-frequency analysis and ANN

Although traditional signal-based structural health monitoring algorithms have been successfully employed for small structures, their application for large and complex bridges has been challenging due to non-stationary signal characteristics with a high level of noise. In this paper, a promising damage detection algorithm is proposed by incorporation of adaptive signal processing and Artificial...

2D Shapes Classification Using BLAST

This paper presents a novel 2D shape classification approach, which exploits in this context the huge amount of work carried out by bioinformaticians in the biological sequence analysis research field. In particular, in the approach presented here, we propose to encode shapes as biological sequences, employing the widely known sequence alignment tool called BLAST (Basic Local Alignment Search T...

Toward Real-Time SQM for WAAS: Improved Detection Techniques

Signal Quality Monitoring (SQM) algorithms propose to detect anomalous signal distortions primarily through the use of SQM receivers. These receivers employ anywhere from three or more correlator pairs per channel—each slaved to the tracking pair. The measurements from each correlator output can be used to form detection metrics, which are, in general, simple algebraic combinations of the measu...