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Article
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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Chapter and Conference Paper
Application of Polar Code-Based Scheme in Cloud Secure Storage
In view of the fact that the quantum computer attack is not considered in the cloud storage environment, this paper selects the code-based public key encryption scheme as the security protection measure in the...
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Chapter and Conference Paper
Using Case Facts to Predict Penalty with Deep Learning
With the promotion of Wisdom Court construction and the increasing completeness of judicial big data, the combination of judicial and artificial intelligence attracted more and more attention. The Judicial doc...
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Chapter and Conference Paper
Adaptive Flower Pollination Algorithm Based on Chaotic Map
Flower pollination algorithm (FPA) is one of the well-known evolutionary techniques used extensively to solve optimization problems. Despite its efficiency and wide use, the identical search behaviors may lead...
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Chapter and Conference Paper
Predicting Clinical Outcomes of Alzheimer’s Disease from Complex Brain Networks
Brain network modelling has been shown effective to study the brain connectivity in Alzheimer’s disease (AD). Although the topological features of AD affected brain networks have been widely investigated, com...
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Chapter and Conference Paper
Collaborative Dictionary Learning and Soft Assignment for Sparse Coding of Image Features
In computer vision, the bag-of-words (BoW) model has been widely applied to image related tasks, such as large scale image retrieval, image classification, and object categorization. The sparse coding (SC) met...
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Chapter and Conference Paper
A Segmented Artificial Bee Colony Algorithm Based on Synchronous Learning Factors
In this paper, we propose a segmented ABC algorithm based on synchronous learning factors (SABC). For the problem of inferior local search ability and low convergence precision in the artificial bee colony (AB...
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Chapter and Conference Paper
Fuzzy Association Rule Mining with Type-2 Membership Functions
In this paper, a fuzzy association rule mining approach with type-2 membership functions is proposed for dealing with data uncertainty. It first transfers quantitative values in transactions into type-2 fuzzy ...
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Chapter and Conference Paper
Multi-Level Genetic-Fuzzy Mining with a Tuning Mechanism
In this paper, a two-stage multi-level genetic-fuzzy mining approach is proposed. In the first stage, the multi-level genetic-fuzzy mining (MLGFM) is utilized to derive membership functions of generalized item...
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Chapter and Conference Paper
Structured and Quantitative Research on Scenario of Firefighting and Rescue Cases
Structurization and quantization is the key to establish the “scenario-response” reasoning system based on digital scenario matrix of firefighting and rescue cases. Hierarchical index structure based on scenar...
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Chapter and Conference Paper
Research on Reasoning Model of Firefighting and Rescue Cases
Based on creating the digital scenario matrix of firefighting cases, this paper proposes four matrix-based drive reasoning models including “type - process” drive, “type - problem” drive, “type - countermeasur...
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Chapter and Conference Paper
Libraries in a Digital Frontier: Preserving Chinese Canadian Cultural Heritage
As a three-year community-based research project at the University of British Columbia, Chinese Canadian Stories: Uncommon Histories from a Common Past is government grant-funded project by the Community Historic...
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Chapter and Conference Paper
DigestJoin: Expediting Joins on Solid-State Drives
This demonstration presents a recently proposed join algorithm called DigestJoin. Optimized for solid-state drives (SSDs), DigestJoin aims at reducing intermediate join results and hence expensive write operation...