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Extract Implicit Semantic Friends and Their Influences from Bipartite Network for Social Recommendation
Social recommendation often incorporates trusted social links with user-item interactions to enhance rating prediction. Although methods that...
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Negative-sample-free knowledge graph embedding
Recently, knowledge graphs (KGs) have been shown to benefit many machine learning applications in multiple domains (e.g. self-driving, agriculture,...
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Open benchmark for filtering techniques in entity resolution
Entity Resolution identifies entity profiles that represent the same real-world object. A brute-force approach that considers all pairs of entities...
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Requirements for modelling tools for teaching
Modelling is an important activity in software development and it is essential that students learn the relevant skills. Modelling relies on dedicated...
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A robust hubness-based algorithm for image data stream classification
Image data stream classification is in high demand and can be used in various contexts, such as public security, medicine, and remote sensing....
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Video anomaly localization using modified faster RCNN with soft NMS algorithm
Localization of anomalies in surveillance videos is a critical component of smart and intelligent surveillance systems. The goal of anomaly detection...
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Minimum motif-cut: a workload-aware RDF graph partitioning strategy
In designing a distributed RDF system, it is quite common to divide an RDF graph into subgraphs, called partitions , which are then distributed. Graph...
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An efficient facial emotion recognition using convolutional neural network with local sorting binary pattern and whale optimization algorithm
Facial emotion recognition is one of the fields of machine learning and pattern recognition. Facial expression recognition is used in a variety of...
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Similarity-based face image retrieval using sparsely embedded deep features and binary code learning
Human face retrieval has long been established as one of the most interesting research topics in computer vision. With the recent development of deep...
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Digital Sustainability for Energy-Efficient Behaviours: A User Representation and Touchpoint Model
In response to climate change, nations have been tasked with reducing energy consumption and lessening their carbon footprint through targeted...
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English listening and speaking ability improvement strategy from Artificial Intelligence wireless network
With the rapid development of science and technology, there are many derivatives of Artificial Intelligence (AI) technology based on wireless...
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Virtual Experiences, Real Memories? A Study on Information Recall and Recognition in the Metaverse
There are high expectations towards extended reality (XR), namely the “metaverse”. However, human performance in the metaverse has been called into...
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DOCA: a UAV-assisted multi-hop D2D resource allocation scheme for 5G and beyond using machine learning
Device-to-Device (D2D) relayed communication helps in extending the coverage range of cellular networks. Relay devices support multi-hop D2D...
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A Taxonomy of Home Automation: Expert Perspectives on the Future of Smarter Homes
Recent advancements in digital technologies, including artificial intelligence (AI), Internet of Things (IoT), and information and communication...
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Research performance of higher education institutions in Türkiye: 1980–2022
In recent years, there has been a growing interest in the measurement of research performance. These studies evaluate a country or groups of...
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An anonymous broadcasting system with accountability based on group signatures
Advanced anonymous communication schemes have been proposed to protect the privacy of network users, enabling them to communicate anonymously on the...
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Crystals kyber cryptographic algorithm for efficient IoT D2d communication
Device-to-Device (D2D) communication stands as a pivotal technology revolutionizing conventional base station-to-device (B2D) communication...
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Hyper-relational knowledge graph neural network for next POI recommendation
With the advancement of mobile technology, Point of Interest (POI) recommendation systems in Location-based Social Networks (LBSN) have brought...
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Parallel continuous skyline query over high-dimensional data stream windows
Real-time multi-criteria decision-making applications in fields like high-speed algorithmic trading, emergency response, and disaster management have...
