The surging popularity of online movie databases has created a challenge for viewers: choosing a film from a massive library can be overwhelming. In this paper, it proposes to design a new hybrid movie recommendation ...
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The goal of this project is to draw a deeper understanding of the subjective nature behind online product reviews, largely by examining a large dataset received from Amazon that contains numerous star ratings and comm...
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The basis of this project is to investigate whether the YOLO, an object detection algorithm where 'You Only Look Once' constitutes the name, could be applied to develop FMCG management;together with the manage...
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Poverty is considered a serious global issue that must be immediately eradicated by Sustainable Development Goals (SDGs) 1, namely ending poverty anywhere and in any form. As a developing country, poverty is a complex...
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作者：
Zhong, WenjieSun, TaoZhou, Jian-TaoWang, ZhuoweiSong, XiaoyuInner Mongolia University
College of Computer Science the Engineering Research Center of Ecological Big Data Ministry of Education the Inner Mongolia Engineering Laboratory for Cloud Computing and Service Software the Inner Mongolia Engineering Laboratory for Big Data Analysis Technology Hohhot010000 China Guangdong University of Technology
School of Computer Science and Technology Guangzhou510006 China Portland State University
Department of Electrical and Computer Engineering PortlandOR97207 United States
Colored Petri nets (CPNs) provide descriptions of the concurrent behaviors for software and hardware. Model checking based on CPNs is an effective method to simulate and verify the concurrent behavior in system design...
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Neural architecture search (NAS) has received increasing attention because of its exceptional merits in automating the design of deep neural network (DNN) architectures. However, the performance evaluation process, as...
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The increasing popularity of Graph-based neural network architectures plays a pivotal role in providing promising results in applications, viz., Friendship networks, Co-authorship networks, Product recommendations, et...
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In modern applications such as geographic information systems, game development, and image processing, the demand for efficient two-dimensional spatial indexing is rising exponentially. Traditional approaches like R-t...
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In modern applications such as geographic information systems, game development, and image processing, the demand for efficient two-dimensional spatial indexing is rising exponentially. Traditional approaches like R-tree can suffer from excessive overlap and fragmentation, while standard B+-trees are limited to one-dimensional data. Motivated by these gaps, we propose the hyperbolic paraboloid grid (HPG) tree, an enhanced B+-tree structure specifically tailored for two-dimensional datasets. First, we employ a grid-based strategy that maps two-dimensional points into one-dimensional values without resorting to hashing. By combining grid partitioning with the B+-tree’s efficient, self-balancing properties, the HPG-tree simultaneously addresses overlap, storage utilization, and query performance. Unlike purely one-dimensional indexes, this method preserves spatial locality and avoids excessive rebalancing. Further, the HPG-tree integrates a hyperbolic paraboloid-like framework in its node layout, allowing it to halve the number of index nodes in many cases. This optimization is key to reducing disk or memory scans, thereby accelerating point lookups, range queries, and updates. Our experiments demonstrate that the HPG-tree outperforms comparable state-of-the-art structures like R*-tree, achieving up to a 50% improvement in storage utilization and significant gains in query throughput. HPG-tree opens a promising avenue for modern spatial databases that require both high scalability and sub-second response, making it a robust and flexible option for today’s evolving data-intensive environments. These advantages make HPG-tree particularly well-suited to large-scale spatial databases requiring both high scalability and sub-second responsiveness. Following a detailed discussion of the shortcomings in existing methods, the paper presents the HPG-tree methodology, including its grid partitioning, node layout, and insertion procedures, illustrating why this hybrid strategy sta
Autonomous aerial vehicle (AAV)-assisted mobile edge computing (MEC) and data collection (DC) have been popular research issues. Different from existing works that consider MEC and DC scenarios separately, this articl...
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Advancements in language models (LMs) have sparked interest in exploring their potential as knowledge bases (KBs) due to their high capability for storing huge amounts of factual knowledge and semantic understanding. ...
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