Abstract: Point cloud perceptual quality assessment plays a critical role in many applications, including compression and communication. We propose PKT-PCQA, a point-based no-reference point cloud ...
Abstract: Deep learning-based object detectors face unique challenges in construction sites, including severe occlusions from complex spatial arrangements, similar appearances between different ...
Abstract: Accurately describing and identifying the operational modes of excavators is fundamental to achieving efficient and energy-saving control of excavators. Existing methods predominantly rely ...
Abstract: This paper investigates high-performance blockchain trust mechanisms for distributed energy systems. Key contributions include a verification framework integrating physical characteristics ...
Abstract: Collecting key–value data from Internet of Things (IoT) devices is crucial for providing users with more accurate recommendation services and other applications. However, existing collection ...
No-Reference Point Cloud Quality Assessment Through Structure Sampling and Clustering Based on Graph
Abstract: As a popular multimedia representation, 3D Point Clouds (PC) inevitably encounter distortion during their acquisition, processing, coding, and transmission, resulting in visual quality ...
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Building a Walking Wooden Dog with Strandbeest Mechanism | DIY Kinetic Sculpture Tutorial
Discover how to build a walking wooden dog inspired by Strandbeest and Theo Jansen's ingenious linkage design. This step-by-step tutorial guides you through the entire process, from crafting the ...
Abstract: Sentiment Analysis(SA) is an integral part of Data Analytics(DA) in today’s social-media-driven world. Being one of the most sought-after tasks in Natural Language Processing, SA has ...
Abstract: Lithium batteries receive widespread attention as core components in electric vehicles, with their performance being significantly influenced by temperature. To enable accurate online ...
Abstract: This paper introduces an innovative hybrid approach for estimating vehicle lateral velocity, merging mechanism-based methods with a Long Short-Term Memory (LSTM) neural network. Traditional ...
Abstract: Point cloud processing is fundamental to applications such as autonomous driving, robotic navigation, and 3D reconstruction. Sampling is a crucial process in point cloud processing, but ...
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