Abstract: Mobile crowdsensing (MCS) leverages large-scale mobile users to execute tasks and contribute sensing data. Developing an effective incentive mechanism is critical to ensure both the quality ...
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 ...
Ram Mandir 'Dhwajarohan': In the traditional flag-hoisting ceremony, a rope is pulled downward to unfurl the flag. However, a new technique was used to hoist the flag in Ayodhya on Tuesday. Trending ...
Abstract: From the perspective of consumer perceived value, the influencing mechanism of purchase intension for upcycling clothing were investigated and explored based on data mining technique in this ...
Abstract: Scientific data often exhibits well-defined model mechanisms, which can be characterized by differential equations. However, existing compression algorithms face challenges in distinguishing ...
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 ...
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 ...
The United States is working with Russia to draw up new plans to end the nearly four years of all-out war in Ukraine, according to a new report. The new 28-point plan broadly focuses on a peace ...
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