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Finite Field Arithmetic in Large Characteristic for Classical and Post-quantum Cryptography
Both classical and post-quantum cryptography massively use large characteristic finite fields or rings. Consequently, basic arithmetic on these...
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A class of three-weight linear codes over finite fields of odd characteristic
Applied in communication, data storage system, secret sharing schemes, authentication codes and association schemes, linear codes attract much...
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Double-ConvMF: probabilistic matrix factorization with user and item characteristic text
In today’s information-rich society, the importance of recommender systems for matching items and customers is increasing day by day. The development...
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Integration of state machine graphical animation and Maude to facilitate characteristic conjecture: an approach to lemma discovery in theorem proving
State Machine Graphical Animation (called SMGA) is a visualization tool that assists formal methods experts in conjecturing characteristics of a...
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Interactive Design of Auxiliary Makeup APP for People with Abnormal Color Perception Based on the Concept of “Inclusive Design”
With at least 70 million men and 7 million women in China suffering from colour blindness, there is a huge demand for make-up colour aids. Make-up...
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Auxiliary criterion conversion via spatiotemporal semantic encoding and feature entropy for action recognition
Video-based action recognition in realistic scenes is a core technology for human–computer interaction and smart surveillance. Although the...
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Characteristic features of modern teaching music methods in East Asia: Examining the influence of interactive learning and mobile apps on musical self-esteem
The introduction of modern vocal teaching techniques will promote the change in the music curricula in East Asia. The study explores the impact of...
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Deep transition network with gating mechanism for multivariate time series forecasting
As an essential task in the machine learning community, multivariate time series forecasting has many real-world applications, such as PM2.5...
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Signature Algorithms on Non-commutative Algebras Over Finite Fields of Characteristic Two
The paper considers digital signature algorithms with a hidden group, security of which is based on the computational difficulty of solving a system...
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On Explicit Formulas for Characteristic Polynomial Coefficients in Geometric Algebras
In this paper, we discuss characteristic polynomials in (Clifford) geometric algebras...
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Quaternion double random phase encoding for privacy-preserving cancelable biometrics
Biometrics has become a fundamental aspect in the constantly-changing field of security solutions. Nevertheless, the ongoing risk of hacking and the...
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SGNNRec: A Scalable Double-Layer Attention-Based Graph Neural Network Recommendation Model
Due to the information from the multi-relationship graphs is difficult to aggregate, the graph neural network recommendation model focuses on...
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An Auxiliary Recommendation Method for Online Teaching Resources of Ideological and Political Courses in Colleges Based on Content Association
The rapid growth of network teaching resources brings more learning opportunities for people, but also makes it more and more expensive for users to...
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Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection
Pulmonary nodule detection from lung computed tomography (CT) scans has been an active clinical research direction, benefiting the early diagnosis of...
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The Auxiliary Parametric Sensitivity Method as a Means of Improving Project Management Analysis and Synthesis of Executive Elements
To write differential state equations of investigated actuating devices in the needed Cauchy’s normal form, we must abandon the traditional theory of...
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Multi-behavior-based graph contrastive learning recommendation
Graph-based collaborative filtering recommendations can more effectively explore the interaction information between users and items. However, its...
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An adaptive mutation strategy correction framework for differential evolution
Differential evolution (DE) is an efficient global optimization algorithm. However, due to its random properties, some individuals may mutate in the...
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Research on orthopedic auxiliary classification and prediction model based on XGBoost algorithm
In the big data environment, hospital medical data are also becoming more complex and diversified. The traditional method of manually processing data...
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COVID-19 Diagnosis Based on Swin Transformer Model with Demographic Information Fusion and Enhanced Multi-head Attention Mechanism
Coronavirus disease 2019 (COVID-19) is an acute disease, which can rapidly become severe. Hence, it is of great significance to realize the automatic...