The developing area of unmanned aerial vehicle (UAV) applications states an urgent problem of positioning in the case of Global Satellite Positioning System (GNSS) or Gyro-Peak Navigation System (GNS) absence. The widespread visual SLAM ...

The use of sorting robots at some stages of agricultural production seems quite promising. In addition to the high-tech design, the most important element of such robots may be a pattern recognition system, which in turn, in addition to optical ...

Automated Optical Inspection (AOI) systems in industrial settings typically consist of the lighting module, the image capture module, the image processing, and the anomaly detection module. This paper presents a prototype for quality inspections in cast-...

Gamification can be a powerful tool in physical rehabilitation, offering engaging experiences that motivate patients and improve recovery outcomes. By integrating computer graphics and computer vision, we are approaching a scenario where a virtual ...

Artificial intelligence has empowered digitalization into a new era of intelligent systems. Machine learning solutions are being tailored to various application scenarios, leading to automated functionalities along complex real-world processes. In ...

The Ricordi archive, a prestigious collection of significant musical manuscripts from renowned opera composers such as Donizetti, Verdi and Puccini, has been digitized. This process has allowed us to automatically extract samples that represent various ...

A new application for real-time monitoring of the lack of movement in older adults’ own homes is proposed, aiming to support people’s lives and independence in their later years. A lightweight camera monitoring system, based on an RGB-D camera and a ...

CAM-based methods are widely-used post-hoc interpretability method that produce a saliency map to explain the decision of an image classification model. The saliency map highlights the important areas of the image relevant to the prediction. In ...

Due to changing demographics, limited availability of experts, and frequent job transitions, retaining and sharing knowledge within organizations is crucial. While many learning systems already address this issue, they typically lack automation and ...

Since the 1960s, researchers have worked to advance water flooding technology to address challenges like high viscosity, low fluidity, and depleting reservoirs, aiming to prevent oil fields from becoming unproductive. The integration of artificial ...

One of the main problems that arise in the process of extracting marine species during the closed seasons is the indiscriminate loading of marine species that are prohibited because they are in spawning season. These problems are often aggravated ...

Computer intelligent recognition technology refers to the use of computer vision, Natural Language Processing (NLP), machine learning and other technologies to enable computers to recognize, analyze, understand and answer human language and behavior. The ...

In the realm of biomedicine, the in vitro cultivation of myocardial tissue, followed by the precise measurement and analysis of its contractility, plays a crucial role in the study of cardiac disease, exploring stem cell science, and enhancing the ...

Image denoising is a critical pre-processing step for a wide range of image processing and computer vision applications, where the primary goal is to remove noise interference from corrupted images while preserving the essential features of the ...

The channel attention mechanism and spatial attention mechanism are crucial in enhancing the performance of convolutional neural networks. However, most existing methods focus on developing more intricate attention modules to improve performance, ...

Detecting failures via analysis of Packet Capture (PCAP) files is crucial for maintaining network reliability and performance, especially in large-scale telecommunications networks. Traditional methods, relying on manual inspection and rule-based systems,...

Incorporating Generative AI (Gen-AI) into our content creation processes at Moment Factory is an adventure driven by curiosity full of excitement and challenges. We have embarked on this journey to not only understand the capabilities of Gen-AI but also ...

This paper presents a novel approach to discovering migrating vs. nonmigrating cells by implementing variational autoencoder architecture and training across a high-performance computing platform. The process workflow undergoes data preprocessing, ...

• DMGM uses depth features to filter and guide multimodal feature fusion.
• PGCM is applied to establish overall global long-range relationships.
• The contrastive KD framework incorporates semantically aligned contrastive learning ...

Mirrors are frequently encountered in computer vision segmentation scenes and can considerably impact salient object detection (SOD) accuracy owing to their complex and variable appearances. In recent studies, several methods have achieved good ...

Despite the great impact of lies in human societies and a meager 54% human accuracy for Deception Detection (DD), Machine Learning systems that perform automated DD are still not viable for proper application in real-life settings due to data ...

• There is a clear distinction between low-stakes and high-stakes deception datasets.
• Low-stakes lies may be used to classify high-stakes lies.
• Combining low-stakes and high-stakes deception data does not yield good results.
• ...