A Computer Vision System to Localize and Classify Wastes on the Streets

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Integrating various reinforcements into 3D concrete printing (3DCP) is an efficient method to satisfy critical requirements for structural applications. This paper explores an explainable ensemble machine learning (EML) method to predict the bond failure m ...

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Limited availability of representative time-to-failure (TTF) trajectories either limits the performance of deep learning (DL)-based approaches on remaining useful life (RUL) prediction in practice or even precludes their application. Generating synthetic d ...

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Understanding the concept of dynamic aperture provides essential insights into nonlinear beam dynamics, beam losses, and the beam lifetime in circular particle accelerators. This comprehension is crucial for the functioning of modern hadron synchrotrons li ...

Human motion analysis and synthesis is integral to many computer vision applications, from autonomous driving to sports analysis. In this thesis, we address several problems in this domain. First we consider active viewpoint selection for pose estimation w ...

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From the nineteenth-century panorama to the emergence of the digital panoramic format in the 's, the visualization of large images frequently relies on panoramic viewing strategies. Originally rendered in the form of epic painted canvases, these strategies ...

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Appropriate waste and resource management are essential for a sustainable circular economy with reduced environmental impact. With critical resources, e-waste may serve as indirect raw material. For example, with NdFeB permanent magnets, Neodymium (Nd) and ...

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Background: 3D reconstruction of Wilms’ tumor provides several advantages but are not systematically performed because manual segmentation is extremely time-consuming. The objective of our study was to develop an artificial intelligence tool to automate th ...

Forecasting is a capability inherent in humans when navigating. Humans routinely plan their paths, considering the potential future movements of those around them. Similarly, to achieve comparable sophistication and safety, autonomous systems must embrace ...

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The recent developments of deep learning cover a wide variety of tasks such as image classification, text translation, playing go, and folding proteins. All these successful methods depend on a gradient-based learning algorithm to train a model on massive ...

A Computer Vision System to Localize and Classify Wastes on the Streets

Chat with Graph Search

Reinforcement bond performance in 3D concrete printing: Explainable ensemble learning augmented by deep generative adversarial networks

Visual Saliency Prediction for Natural Images, Comics Panels, and Comics Pages

Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions

RAPNet: Resolution-Adaptive and Predictive Early Exit Network for Efficient Image Recognition

Multi-site, Multi-domain Airway Tree Modeling

Assessing the Performance of Deep Learning Predictions for Dynamic Aperture of a Hadron Circular Particle Accelerator

Automated Human Motion Analysis and Synthesis

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Cultural big data: nineteenth to twenty-first century panoramic visualization

The JPEG AI Standard: Providing Efficient Human and Machine Visual Data Consumption

From event-based surprise to lifelong learning. A journey in the timescales of adaptation

Advancing EGFR mutation subtypes prediction in NSCLC by combining 3D pretrained ConvNeXt, radiomics, and clinical features

Surfactant-based enrichment of rare earth elements from NdFeB magnet e-waste: Optimisation of cloud formation and rare earths extraction

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (1/6)

Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations

GELEX: Generative AI-Hybrid System for Example-Based Learning

Automation of Wilms’ tumor segmentation by artificial intelligence

Deep Generative Models for Autonomous Driving: from Motion Forecasting to Realistic Image Synthesis

Multi-Scale and Multimodal Species Distribution Modeling

Transformer Models for Vision