2,137 Result(s)
within
Fu** Lin
Computer Science
Information Storage and Retrieval
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Article
DQN-PACG: load regulation method based on DQN and multivariate prediction model
Demand response plays a pivotal role in modern smart grid systems, aiding in balancing energy consumption. However, the increasing energy demands of contemporary society have placed a significant burden on pow...
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Open AccessRandomnet: clustering time series using untrained deep neural networks
Neural networks are widely used in machine learning and data mining. Typically, these networks need to be trained, implying the adjustment of weights (parameters) within the network based on the input data. In...
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Article
Collaboration-based scientific productivity: evidence from Nobel laureates
Nobel laureates offer a range of expertise to researchers interested in generating scientific productivity by capitalizing on their ability to collaborate with other outstanding researchers. However, current k...
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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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Degree assortativity in collaboration networks and breakthrough innovation: the moderating role of knowledge networks
Collaboration networks are widely recognized as essential channels for accessing innovation resources and facilitating creative activities by enabling the exchange of knowledge and information. However, there ...
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Article
Open AccessA multistart and recombination algorithm for finding many unique solutions to spatial aggregation problems
Spatial aggregation is essential for applications where data at low level spatial units such as census blocks are grouped into larger regions. This type of problem can be formulated as spatial optimization pro...
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Self-training improves few-shot learning in legal artificial intelligence tasks
As the labeling costs in legal artificial intelligence tasks are expensive. Therefore, it becomes a challenge to utilize low cost to train a robust model. In this paper, we propose a LAIAugment approach, which...
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Open AccessEstablishment of an automatic diagnosis system for corneal endothelium diseases using artificial intelligence
To use artificial intelligence to establish an automatic diagnosis system for corneal endothelium diseases (CEDs).
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Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning
While centralized servers pose a risk of being a single point of failure, decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities. Mer...
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An approach for fuzzy group decision making and consensus measure with hesitant judgments of experts
In some actual decision-making problems, experts may be hesitant to judge the performances of alternatives, which leads to experts providing decision matrices with incomplete information. However, most existin...
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Article
Open AccessThe differences in gastric cancer epidemiological data between SEER and GBD: a joinpoint and age-period-cohort analysis
The burden of gastric cancer (GC) should be further clarified worldwide, and helped us to understand the current situation of GC.
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Article
Open AccessThe influence of geopolitics on research activity and international collaboration in science: the case of Russia
We study the possible influences of the Russia-Ukraine War on Russia’s research productivity and international collaboration in science. For this purpose, we introduce and apply two recently developed indicato...
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Article
Registered report adoption in academic journals: assessing rates in different research domains
Although the number of journals that have adopted the registered report format has increased rapidly in recent years, they still account for only a tiny portion of academic journals. This article provides a su...
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Map** and comparing the technology evolution paths of scientific papers and patents: an integrated approach for forecasting technology trends
Exploring the key technology evolution paths in specific technological domains is essential to stimulate the technological innovation of enterprises. There have been many methods to identify the technology evo...
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Integrating online meta-cognitive learning strategy and team regulation to develop students’ programming skills, academic motivation, and refusal self-efficacy of Internet use in a cloud classroom
With the development of technology and demand for online courses, there have been considerable quantities of online, blended, or flipped courses designed and provided. However, in the technology-enhanced learn...
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Article
Fairmod: making predictions fair in multiple protected attributes
Predictive models such as decision trees and neural networks may produce predictions with unfairness. Some algorithms have been proposed to mitigate unfair predictions when protected attributes are considered ...
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Article
Evidence-based adaptive oversampling algorithm for imbalanced classification
Classification task is complicated by several facts including skewed class proportion and unclear decision regions due to noise, class overlap, small disjunct, caused by large within-class variation. These iss...
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Article
A black-box model for predicting difficulty of word puzzle games: a case study of Wordle
The popular word-filling game Wordle has gained widespread attention since its release in 2022. Much attention has been paid to find the optimal strategy. However, this article proposes a black-box prediction ...
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Article
User acceptance of smart home voice assistant: a comparison among younger, middle-aged, and older adults
Voice assistants are widely used in smart home environments. This study aimed to investigate user acceptance of a smart home voice assistant. A questionnaire was designed, and 471 Chinese adults were recruited...
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Article
A novel MRC framework for evidence extracts in judgment documents
Evidences are important proofs to support judicial trials. Automatically extracting evidences from judgement documents can be used to assess the trial quality and support “Intelligent Court”. Current evidence ...
