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Chapter and Conference Paper
Study on the Genetic Links Between Type 2 Diabetes Mellitus and Glioma by Bioinformatics
Diabetes will increase the risk of most cancers, such as pancreatic, breast and prostate cancer. However, some studies showed patients with diabetes are less susceptible to glioma than the people with normal b...
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Chapter and Conference Paper
High-Resolution Feature Representation Driven Infrared Small-Dim Object Detection
Infrared small-dim object detection is a challenging task due to the small size, weak features, lack of prominent structural information, and vulnerability to background interference. During the process of dee...
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Chapter and Conference Paper
Intelligent Cooperative Routing for Services in Computing Integration Networking
With the widespread application of cloud computing and edge computing, achieving optimal allocation of computing resources in a heterogeneous network environment has become a key issue. The objective of this c...
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Chapter and Conference Paper
SFRSwin: A Shallow Significant Feature Retention Swin Transformer for Fine-Grained Image Classification of Wildlife Species
Fine-grained image classification of wildlife species is a task of practical value and has an important role to play in the fields of endangered animal conservation, environmental protection and ecological con...
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Chapter and Conference Paper
Flexible Sensor Array and Newton Interpolation Algorithm for Molded Dichromatic Sole by Operating Robot
Based on the principle of system engineering and optimization method, the multi-color soles mold operation robot was constructed instead of manual operation, and the double-layer quality inspection standard of...
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Chapter and Conference Paper
Multi-sourced Integrated Ranking with Exposure Fairness
Integrated ranking system is one of the critical components of industrial recommendation platforms. An integrated ranking system is expected to generate a mix of heterogeneous items from multiple upstream sour...
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Chapter and Conference Paper
A Secure Circulation Mechanism of Personal Data Based on Blockchains
This paper discusses the privacy protection and security application of personal data from the perspective of building private chains. Individuals have control over their private chains, and their data can be ...
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Chapter and Conference Paper
Co-regularized Facial Age Estimation with Graph-Causal Learning
In this paper, we present a graph-causal regularization (GCR) for robust facial age estimation. Existing label facial age estimation methods often suffer from overfitting and overconfidence issues due to limit...
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Chapter and Conference Paper
A Survey of Integrating Federated Learning with Smart Grids: Application Prospect, Privacy Preserving and Challenges Analysis
With the widespread promotion of smart grid, the power time series data collected by smart meters also increases rapidly. How to collect these data safely and effectively, analyze and utilize them, and provide...
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Chapter and Conference Paper
Low-hysteresis Flexible Strain Sensors Based on Liquid Metal for Human-Robot Interaction
Flexible strain sensors have aroused great interest in the fields of human-machine interaction, human motion detection, and wearable devices. However, develo** flexible strain sensors with low hysteresis, la...
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Chapter and Conference Paper
Design of Aerospace Cloud Computing Server Based on Docker Cluster
To solve the problems of different space-based application platforms, lack of unified specifications and poor real-time performance, this paper proposes a design scheme of space-based cloud server based on Doc...
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Chapter and Conference Paper
Research on the Development of Intelligent Space System (ISS)
First, the research scope of Intelligent Space Systems (ISS) is clarified, and then the domestic and foreign development of intelligent space systems in three directions is investigated, including intelligent ...
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Chapter and Conference Paper
A Monte Carlo Algorithm Based on Stochastic Geometry for Simulating Satellite Systems Interference
Providing truly ubiquitous Internet connectivity requires development of massive satellite constellations, whose interference scenario changes dynamically in time and space, leading to interference analysis be...
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Chapter and Conference Paper
E2M: Evolving Mobility Modeling in Metropolitan-Scale Electric Taxi Systems
Human mobility data play an important role in addressing various urban issues. However, when a new mobility paradigm emerges and continuously evolves with time, it is usually hard to obtain a large-scale and e...
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Chapter and Conference Paper
Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity
In this paper, we propose a dual-process cognitive recommendation system for sequential recommendations. The framework includes an intuitive representation module (System 1) and an inference module (System 2)....
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Chapter and Conference Paper
DC-Gossip: An Enhanced Broadcast Protocol in Hyperledger Fabric Based on Density Clustering
Low transaction efficiency remains one of the primary constraints to the development of permission blockchain. To enhance the communication performance of blockchain, the majority of research focuses on optimi...
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Chapter and Conference Paper
ANAS: Sentence Similarity Calculation Based on Automatic Neural Architecture Search
Sentence similarity calculation is one of several research topics in natural language processing. It has been widely used in information retrieval, intelligent question answering and other fields. Traditional ...
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Chapter and Conference Paper
PhotoStylist: Altering the Style of Photos Based on the Connotations of Texts
The need to modify a photo to reflect the connotations of a text can arise due to multifarious reasons (e.g., a musician might modify a photo in the album cover to better reflect the connotations in her song l...
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Chapter and Conference Paper
A Novel Autonomous Molecular Mechanism Based on Spatially Localized DNA Computation
Contemporary DNA synthesis technology matures, and the development provides intriguing possibilities for dynamic manipulation of DNA self-assembly, which plays a pivotal role in the behavior of designing versa...
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Chapter and Conference Paper
AA-LSTM: An Adversarial Autoencoder Joint Model for Prediction of Equipment Remaining Useful Life
Remaining Useful Life (RUL) prediction of equipment can estimate the time when equipment reaches the safe operating limit, which is essential for strategy formulation to reduce the possibility of loss due to u...