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R-Calculus for \(\mathbf{B^2_2}\) -Valued DL
A \(1/2^2\) -multisequent...
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Summary and Prospect
There is a widespread proverb that “the twenty-first century is the century of life sciences,” yet more than 20 years into the twenty-first century,...
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Complex Networks: Basic Concepts, Construction, and Learning Methods
This chapter introduces an approach to modeling called complex networks. Complex networksComplex networks are an abstract model for understanding...
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Introduction
Bioinformatics is viewed as the product of combining traditional biology and modern information technology. Unlike traditional statistical...
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Association Analysis: Basic Concepts and Algorithms
In 1993, Agrawal et al. pioneered the theory of mining association rules from large database, which is used to identify interesting links between...
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A Signal-Processing-Assisted Instrumentation System for Nondestructive Characterization of Semiconductor Wafers
A signal-processing-assisted instrumentation system has been developed for nondestructive resistivity map** in semiconductor wafers. With the...
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Blockchain-Based Platform for IoT Sensor Data Management
The advancement of information technology has significantly improved environmental monitoring by enabling the use of automated devices that measure...
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PETSAI: Physical Education Teaching Support with Artificial Intelligence
Physical Education Subject (PES) is a challenging problem for conveying IT into education. From the perspective of Artificial Intelligence (AI) and...
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SDCANet: Enhancing Symptoms-Driven Disease Prediction with CNN-Attention Networks
Deep learning algorithms have revolutionized healthcare by improving patient outcomes, enhancing diagnostic accuracy, and advancing medical...
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Deep Learning for Detection and Classification of Nuclear Protein in Breast Cancer Tissue
Breast cancer is a medical condition in which the cells of the mammary gland grow uncontrollably, creating malignant tumors, capable of dividing, and...
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An Intelligent Polarimetric System for High-Throughput and High-Sensitivity Quality Assessment of Commercial Semiconductor Wafers
An intelligent polarimetric system has been developed for high-throughput quality assessment of commercial semiconductor wafers by measuring a small...
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Improve Medicine Prescribing Performance Using Recommendation Systems
In this study, we introduce a decision support system for prescribing medication based on the application of association rules and analysis of...
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Strengthening Information Security Through Zero Trust Architecture: A Case Study in South Korea
This paper explores the enhancement of Information Security Management Systems (ISMS) through the adoption of Zero Trust architecture, focusing on...
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Fusion and Radiomics Study of Multimodal Medical Images
With the tremendous technological advances in the medical field, various medical imagingMedical imaging devices have emerged to produce images that...
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LayerBF: A Space Allocation Policy for Bloom Filter in LSM-Tree
LSM-Tree based key-value stores commonly suffer from the issue of read amplification, as the retrieval of a particular key typically requires...
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DADR: A Denoising Approach for Dense Retrieval Model Training
With the development of representation learning techniques, Dense Retrieval (DR) has become a new paradigm to retrieve relevant texts for better...
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MFF-Trans: Multi-level Feature Fusion Transformer for Fine-Grained Visual Classification
In fine-grained visual classification, fusing both local and global information is crucial. However, current methods based on vision transformer tend...
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Approximate Continuous Skyline Queries over Memory Limitation-Based Streaming Data
Continuous skyline query over sliding window is an important problem over streaming data. The query returns all skyline objects to the system...
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Multi-token Fusion Framework for Multimodal Sentiment Analysis
In this paper, we design a multi-token fusion (MTF) framework to process inter-modality and intra-modality information in parallel for multimodal...
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ANSWER: Automatic Index Selector for Knowledge Graphs
Efficient access to knowledge graphs is identified as the basic premise to make full use of knowledge graphs. Since the query processing efficiency...