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Chapter and Conference Paper
Explaining Federated Learning Through Concepts in Image Classification
Federated learning is a machine learning framework that solves the problem of data silos under secure data protection measures and is gradually becoming a machine learning paradigm for future AI development. I...
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Chapter and Conference Paper
Test-and-Decode: A Partial Recovery Scheme for Verifiable Coded Computing
Coded computing has proven its efficiency in tolerating stragglers in distributed computing. Workers return the sub-computation results to the master after computing, and the master recovers the final computat...
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Chapter and Conference Paper
RecAGT: Shard Testable Codes with Adaptive Group Testing for Malicious Nodes Identification in Sharding Permissioned Blockchain
Recently, permissioned blockchain has been extensively explored in various fields, such as asset management, supply chain, healthcare, and many others. Many scholars are dedicated to improving its verifiabilit...
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Chapter and Conference Paper
Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations
Although cross-domain recommender systems (CDRSs) are promising approaches to solving the cold-start problem, most CDRSs require overlapped users, which significantly limits their applications. To remove the o...
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Chapter and Conference Paper
Designing, Modeling and Testing of the Flexible Space Probe-Cone Docking and Refueling Mechanism
According to the requirements of docking and refueling satellites for deep space exploration, the paper presents a docking and refueling mechanism under a weak impact rendezvous and docking conditions. The fle...
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Chapter and Conference Paper
Conceptual Design of Ejection, Aerostat and Rolling Group Detectors
Floating exploration in near Mars is a new mode between orbiting detection and landing detection, synthesized with the advantages of orbiter’s global coverage and rover’s high image definition. Rolling explora...
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Chapter and Conference Paper
Research on Spatial Target Classification and Recognition Technology Based on Deep Learning
With the progress of human space technology, mankind stepped into more distant space. Due to the long distance from the earth in deep space exploration, higher requirements were put forward for intelligent cog...
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Chapter and Conference Paper
Color Image Segmentation by Minimal Surface Smoothing
In this paper, we propose a two-stage approach for color image segmentation, which is inspired by minimal surface smoothing. Indeed, the first stage is to find a smooth solution to a convex variational model r...
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Chapter and Conference Paper
A Preliminary Study of Memory Functions in Unaffected First-Degree Relatives of Schizophrenia
Schizophrenia is a neuropsychiatric disorder with etiologies caused by both genetic and environmental factors. However, very few studies have been done to examine the differential pattern of working memory dys...
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Chapter and Conference Paper
Research of Optimal Design for Gravity Dam Based on Niche Genetic Algorithm
Niche genetic algorithm (NGA) is recommended for optimal design of gravity dam section and to overcome the defects of constant crossover probability and mutation probability, appearing precocious phenomena in ...
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Chapter and Conference Paper
A Secure Image-Based Authentication Scheme for Mobile Devices
Motivated by the need for designing secure and user-friendly authentication method for mobile devices, we present a novel image-based authentication (IBA) scheme in this paper. Its mnemonics efficacy rests on ...
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Chapter and Conference Paper
Particle Swarm Optimization for Bipartite Subgraph Problem: A Case Study
The goal of bipartite subgraph problem is to partition the vertex set of an undirected graph into two parts in order to maximize the cardinality of the set of edges cut by the partition. This paper proposes a ...
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Chapter and Conference Paper
A Novel Genetic Algorithm for Variable Partition of Dual Memory Bank DSPs
DSPs provide high performance and low cost through their use of specialized hardware features. One feature commonly found in DSPs is the dual data memory banks to offer high memory bandwidth. However, it poses...