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545 Result(s)
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Article
Open AccessHierarchical adaptive evolution framework for privacy-preserving data publishing
The growing need for data publication and the escalating concerns regarding data privacy have led to a surge in interest in Privacy-Preserving Data Publishing (PPDP) across research, industry, and government s...
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Article
Multi-factor stock price prediction based on GAN-TrellisNet
Applying deep learning, especially time series neural networks, to predict stock price, has become one of the important applications in quantitative finance. Recently, some GAN-based stock prediction models ar...
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Article
An improved indicator-based two-archive algorithm for many-objective optimization problems
The large number of objectives in many-objective optimization problems (MaOPs) has posed significant challenges to the performance of multi-objective evolutionary algorithms (MOEAs) in terms of convergence and...
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Article
Overcoming the "screen dilemma": The psychological mechanisms of social presence promoting college students' online learning engagement
In the context of the increasingly integrated development of information technology and classroom instruction, university students are engaging in a growing portion of their learning within online spaces. Agai...
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Article
Neighborhood rough set with neighborhood equivalence relation for feature selection
Feature selection of the neighborhood rough set is an important step in preprocessing the data and improving classification performance. Neighborhood granules form the basis for neighborhood rough set learning...
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Article
The impacts of instructor’s visual attention and lecture type on students' learning performance and perceptions
Instructors’ attention to students is vital for teaching. However, instructors’ level of attention to students, which has the potential to influence students’ learning across different lecture types, has yet t...
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Article
The relationship between social media and professional learning from the perspective of pre-service teachers: A survey
Social media usage is indispensable for college students, but the connection between social media and learning has received little scientific investigation. By examining pre-service teachers' attention to scie...
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Article
Open AccessPrivacy-preserving data publishing: an information-driven distributed genetic algorithm
The privacy-preserving data publishing (PPDP) problem has gained substantial attention from research communities, industries, and governments due to the increasing requirements for data publishing and concerns...
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Article
Building an economically sustainable online learning ecosystem with freemium model: A sequential mixed-method approach
Online learning communities play a crucial role in delivering high-quality courses to a large number of learners. However, to maintain an economically sustainable and constantly evolving online learning ecosys...
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Article
Graph neural network for recommendation in complex and quaternion spaces
With the development of graph neural network, researchers begin to use bipartite graph to model user-item interactions for recommendation. It is worth noting that most of graph recommendation models represent ...
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Article
Transfer learning based cascaded deep learning network and mask recognition for COVID-19
The COVID-19 is still spreading today, and it has caused great harm to human beings. The system at the entrance of public places such as shop** malls and stations should check whether pedestrians are wearing...
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Article
Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation
Fine-tuning pre-trained language models like BERT have become an effective way in natural language processing (NLP) and yield state-of-the-art results on many downstream tasks. Recent studies on adapting BERT ...
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Article
Open AccessAccess control scheme based on blockchain and attribute-based searchable encryption in cloud environment
With the rapid development of cloud computing technology, how to achieve secure access to cloud data has become a current research hotspot. Attribute-based encryption technology provides the feasibility to ach...
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Article
Open AccessFSPLO: a fast sensor placement location optimization method for cloud-aided inspection of smart buildings
With the awakening of health awareness, people are raising a series of health-related requirements for the buildings they live in, with a view to improving their living conditions. In this context, BIM (Buildi...
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Article
Open AccessMemory sharing for handling memory overload on physical machines in cloud data centers
Over-committing computing resources is a widely adopted strategy for increased cluster utilization in Infrastructure as a Service (IaaS) cloud data centers. A potential consequence of over-committing computing...
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Article
CLIP-based fusion-modal reconstructing hashing for large-scale unsupervised cross-modal retrieval
As multi-modal data proliferates, people are no longer content with a single mode of data retrieval for access to information. Deep hashing retrieval algorithms have attracted much attention for their advantag...
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Article
The Paradigm of Power Bounded High-Performance Computing
Modern computer systems are increasingly bounded by the available or permissible power at multiple layers from individual components to data centers. To cope with this reality, it is necessary to understand ho...
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Article
Open AccessDynamic path learning in decision trees using contextual bandits
We present a novel online decision-making solution, where the optimal path of a given decision tree is dynamically found based on the contextual bandits analysis. At each round, the learner finds a path in the...
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Chapter and Conference Paper
A Geometric-Relational Deep Learning Framework for BIM Object Classification
Interoperability issue is a significant problem in Building Information Modeling (BIM). Object type, as a kind of critical semantic information needed in multiple BIM applications like scan-to-BIM and code com...
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Article
Incremental User Identification Across Social Networks Based on User-Guider Similarity Index
Identifying accounts across different online social networks that belong to the same user has attracted extensive attentions. However, existing techniques rely on given user seeds and ignore the dynamic change...