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Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification
Covid-19 is a serious disease caused by the Sars-CoV-2 virus that has been first reported in China at late 2019 and has rapidly spread around the... -
Uncovering Manipulated Files Using Mathematical Natural Laws
The data exchange between different sectors of society has led to the development of electronic documents supported by different reading formats,... -
Bipartite Graph Coarsening for Text Classification Using Graph Neural Networks
Text classification is a fundamental task in Text Mining (TM) with applications ranging from spam detection to sentiment analysis. One of the current... -
Self-supervised Monocular Depth Estimation on Unseen Synthetic Cameras
Monocular depth estimation is a critical task in computer vision, and self-supervised deep learning methods have achieved remarkable results in... -
Facial Point Graphs for Stroke Identification
Stroke can cause significant damage to neurons, resulting in various sequelae that negatively impact the patient’s ability to perform essential daily... -
Fast, Memory-Efficient Spectral Clustering with Cosine Similarity
Spectral clustering is a popular and effective method but known to face two significant challenges: scalability and out-of-sample extension. In this... -
Graph-Based Feature Learning from Image Markers
Deep learning methods have achieved impressive results for object detection, but they usually require powerful GPUs and large annotated datasets. In... -
Development and Testing of an MRI-Compatible Immobilization Device for Head and Neck Imaging
MRI imaging with long acquisition times is prone to motion artifacts that can compromise image quality and lead to misinterpretation. Aiming to... -
Single Image HDR Synthesis with Histogram Learning
High dynamic range imaging aims for a more accurate representation of the scene. It provides a large luminance coverage to yield the human perception... -
Placentation and Placenta
Gestation in the vizcacha lasts approximately 153 days. At 26–32 days post-coitus (dpc), extensions of the trophoblast invading the decidua are... -
Plains Vizcacha Endoparasites: An Exploration of Diversity, Health and Ecology
Parasites are an integral part of all ecosystems and have gained wide acceptance as biological tags since they can provide important information... -
Post-implantation Embryo Development in the South American Plains Vizcacha, Lagostomus maximus (Rodentia, Caviomorpha)
The early embryo development after implantation varies among mammals. In muroid rodents, an egg cylinder is formed by folding during gastrulation;... -
Tracking
In this chapter, we will elaborate on the task of video object tracking (VOT), which aims at producing tight bounding boxes around one or multiple... -
Impact of Predators on Arthropod Herbivores and Herbivory along Mountain Ranges on Islands Versus Mainland
Trophic interactions between plants, herbivorous arthropods, and their predators are complex and prone to trophic cascades. Understanding these... -
Hardware for DL Networks
This chapter proceeds to engage the previous section learning to empower the advanced hardware system knowledge that powers a sturdy performance to... -
Enhancing Air Quality Forecasting Through Deep Learning and Continuous Wavelet Transform
Air quality forecasting plays a crucial role in environmental management and public health. In this paper, we propose a novel approach that combines... -
Towards One-Shot PCB Component Detection with YOLO
Consumer electronic devices such as smartphones, TV sets, etc. are designed around printed circuit boards (PCBs) with a large number of surface... -
Automated Identification of Failure Cases in Organ at Risk Segmentation Using Distance Metrics: A Study on CT Data
Automated organ at risk (OAR) segmentation is crucial for radiation therapy planning in CT scans, but the generated contours by automated models can... -
Abstracts Embeddings Evaluation: A Case Study of Artificial Intelligence and Medical Imaging for the COVID-19 Infection
During the COVID-19 pandemic, a huge amount of literature was produced covering different aspects of infection. The use of artificial intelligence... -
ArcheoWeedNet: Weed Classification in the Parco archeologico del Colosseo
This paper summarizes the development of a weed monitoring system in the Parco archeologico del Colosseo (hereinafter, Parco) using Deep Learning...