1,158 Result(s)
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Article
Jian** **
Information Systems Applications (incl. Internet)
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Article
HyperMatch: long-form text matching via hypergraph convolutional networks
Semantic text matching plays a vital role in diverse domains, such as information retrieval, question answering, and recommendation. However, longer texts present challenges, including noise, long-range depend...
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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 numerous benefits to both users and companies. Many existing work...
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Packet header-based reweight-long short term memory (Rew-LSTM) method for encrypted network traffic classification
With the development of Internet technology, cyberspace security has become a research hotspot. Network traffic classification is closely related to cyberspace security. In this paper, the problem of classific...
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Graph neural architecture search with heterogeneous message-passing mechanisms
In recent years, neural network search has been utilized in designing effective heterogeneous graph neural networks (HGNN) and has achieved remarkable performance beyond manually designed networks. Generally, ...
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GTHP: a novel graph transformer Hawkes process for spatiotemporal event prediction
The event sequences with spatiotemporal characteristics have been rapidly produced in various domains, such as earthquakes in seismology, electronic medical records in healthcare, and transactions in the finan...
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A new approach to dividing the tectonic setting of igneous rocks: machine learning and GeoTectAI software
For a long time, elucidating the tectonic setting of unknown rock samples has been a focal point for geologists. Traditional methodologies for this purpose have been scrutinized increasingly due to their inher...
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Open AccessWhen large language models meet personalization: perspectives of challenges and opportunities
The advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large language models has bee...
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AI enabled: a novel IoT-based fake currency detection using millimeter wave (mmWave) sensor
In recent years, the significance of millimeter wave sensors has achieved a paramount role, especially in the non-invasive and ubiquitous analysis of various materials and objects. This paper introduces a nove...
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Exploring highly concise and accurate text matching model with tiny weights
In this paper, we propose a simple and general lightweight approach named AL-RE2 for text matching models, and conduct experiments on three well-studied benchmark datasets across tasks of natural language inf...
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How school support and teacher perception affect teachers’ technology integration: A multilevel mediation model analysis
Literature indicates that teachers’ technology integration is affected by internal (individual feeling) and external (support from schools) factors. How the two levels of factors affect continuous technology i...
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Open AccessFrom clicks to credits: examining the influence of online engagement and internet addiction on academic performance in Chinese universities
University students’ engagement in online activities can impact both internet addiction and academic performance. This research aims to investigate these effects among university students. Using data from the ...
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Open AccessEffects of AR mathematical picture books on primary school students' geometric thinking, cognitive load and flow experience
As an important branch of mathematics, geometry plays a very significant role in develo** students’ thinking, but many students need to improve their geometric thinking abilities, especially in understanding...
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Evaluating parameter inversion efficiency in Heterogeneous Groundwater models using Karhunen-Loève expansion: a comparative study of genetic algorithm, ensemble smoother, and MCMC
Groundwater modeling is essential for effective water resource management. However, the heterogeneous distribution of hydrogeological parameters, such as hydraulic conductivity (K), significantly impacts the a...
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Integrating online partial pair programming and socially shared metacognitive regulation for the improvement of students’ learning
Many universities around the world were forced to lock down and students had to continue their learning in online environments in response to the COVID-19 pandemic. Teachers thus had to adopt effective and app...
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Probabilistic graph model and neural network perspective of click models for web search
Click behavior is a typical user behavior in the web search. How to capture and model users’ click behavior has always been a common research topic. However, there are few review studies on this topic. In this...
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Ontology-driven relational data map** for constructing a knowledge graph of porphyry copper deposits
Geoscience knowledge graph has become a popular topic in recent years. A series of studies have been reported to introduce the construction and application of geoscience knowledge graphs from different views. ...
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Surface water extraction from high-resolution remote sensing images based on an improved U-net network model
This paper proposes a surface water extraction method from high-resolution remote sensing images based on an improved U-Net network model. The GF-6 satellite is a significant achievement in optical remote sens...
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Unraveling human social behavior motivations via inverse reinforcement learning-based link prediction
Link prediction aims to capture the evolution of network structure, especially in real social networks, which is conducive to friend recommendations, human contact trajectory simulation, and more. However, the...
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A deep learning-based method for deep information extraction from multimodal data for geological reports to support geological knowledge graph construction
Earth science research has entered a period of major transition centered on building new knowledge systems and driven by the overwhelming availability of vast amounts of data. Obtaining a comprehensive underst...
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Analysis and modelling of gas relative permeability in reservoir by hybrid KELM methods
Petroleum reservoirs are often influenced by various flow behaviours including the mixture of gas, water and oil. The gas relative permeability is used to estimate how much of the gas in the reservoir is produ...
