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Enhancing Remote Collaboration Through Drone-Driven Agent and Mixed Reality
Mixed Reality (MR) and Augmented Reality (AR) technologies have been used to improve remote collaboration. However, existing MR- or AR-based remote...
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Augmented Virtuality–A Simplified, Scalable, and Modular Open-Source Unity Development System for Tangible VR with the Meta Quest 2
With this article, we present the first – to our knowledge – development system for develo** Augmented Virtuality (AV) applications with dynamic...
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A Literature Review and Proposal Towards the Further Integration of Haptics in Aviation
Flight simulator training is essential for aircraft pilots to learn and maintain the ability to fly specific aircraft for both commercial and defence...
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XR Smart Environments Design and Fruition: Personalizing Shared Spaces
The rise of urbanization, overpopulation, and resource depletion in recent years has triggered interest in develo** more efficient solutions that...
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Game Engine Technology in Cultural Heritage Digitization Application Prospect–Taking the Digital Cave of the Mogao Caves in China as an Example
Taking the digital caves of the Mogao Grottoes in Dunhuang as an example, this paper explores the prospects for the application of game engine...
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The Impact of Different Levels of Spatial Cues on Size Perception: A Spatial Perception Study of Altered Conditions
Spatial cognitive processing is a critical domain of human spatial cognition that involves studying how humans perceive their spatial environments...
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A Novel Approach for Software 3D-Debugging in Virtual Reality
This paper introduces a novel concept of virtual 3D debugging in software development, motivated by mental model research in information studies and...
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Assessing Distance Measures for Change Point Detection in Continual Learning Scenarios
Detecting relevant change points in time-series data is a necessary task in various applications. Change point detection methods are effective...
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Learning Typicality Inclusions in a Probabilistic Description Logic for Concept Combination
Our paper introduces an innovative automated system designed to extract logical rules using the...
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CSEPrompts: A Benchmark of Introductory Computer Science Prompts
Recent advances in AI, machine learning, and NLP have led to the development of a new generation of Large Language Models (LLMs) that are trained on...
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\(\text {SPL}^{{index}}\) : A Spatial Polygon Learned Index
Effective indexing is crucial for any AI and big data analysis task involving huge datasets. Recently, machine-learned models for indexing have...
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Token Pruning by Dimensionality Reduction Methods on TCT-ColBERT for Reranking
High-dimensional embeddings from dense retrieval models pose challenges in information retrieval and reranking because they need a lot of resources...
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A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery
Process discovery algorithms discover process models from event logs recorded from the real-life processes. Traditional process discovery algorithms...
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ScoredKNN: An Efficient KNN Recommender Based on Dimensionality Reduction for Big Data
E-commerce companies have an inevitable need in employing recommender systems in order to enhance the user experience, increase customer...
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Toward Explaining Competitive Success in League of Legends: A Machine Learning Analysis
Machine learning techniques have recently transformed the way we analyze competitive games. However, accurately detecting the impact of different...
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Deep Variational Auto-Encoder for Model-Based Water Quality Patrolling with Intelligent Surface Vehicles
This paper addresses persistent monitoring challenges in Lake Ypacaraí, Paraguay, a crucial hydrological resource facing issues of eutrophication and...
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Community-Based Topic Modeling with Contextual Outlier Handling
E-commerce has become an essential aspect of modern life, providing consumers globally with convenience and accessibility. However, the high volume...
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Exploring the Use of LLMs for Teaching AI and Robotics Concepts at a Master’s Degree
This article explores the use of Large Language Models (LLM) as transformative tools for teaching Artificial Intelligence (AI) and Robotics concepts...
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Taking Advantage of Depth Information for Semantic Segmentation in Field-Measured Vineyards
RGB-D cameras mounted on moving agricultural robotic platforms provide detailed information about both appearance and volume of plants. Those images...
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Driven PCTBagging: Seeking Greater Discriminating Capacity for the Same Level of Interpretability
The partial consolidated tree bagging (PCTBagging) was presented as a multiple classifier that, based on a parameter, the consolidation percentage,...