337 Result(s)
within
Conference Paper
Dong-**ng Wang
English
Artificial Intelligence
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Chapter and Conference Paper
Enhanced Featurization of Queries with Interval Density Encoding
Learning-based cardinality estimation methods outperform traditional methods by effectively overcoming strong assumptions(attribute value independence and uniform distribution). Existing learning-based methods...
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Chapter and Conference Paper
A Low-Latency Hardware Accelerator for YOLO Object Detection Algorithms
Object detection is an important computer vision task with a wide range of applications, including autonomous driving, smart security, and other domains. However, the high computational requirements poses chal...
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Chapter and Conference Paper
DC Voltage Detection Based on Combined Sinc and Kalman Filter
Relay test equipment are key equipment for rail transit to ensure safe operation of rail transit
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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
Accelerated Lifetime Experiment of Maximum Current Ratio Based on Charge and Discharge Capacity Confinement
Lithium-ion batteries will undergo continuous aging during the process of charging and discharging. Charging and discharging cycle conditions for lithium-ion batteries are usually an important method to detect...
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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
Blockchain Scam Detection: State-of-the-Art, Challenges, and Future Directions
With the rapid development of blockchain platforms, such as Ethereum and Hyperledger Fabric, blockchain technology has been widely applied in various domains. However, various scams exist in the cryptocurrency...
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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
Construction and Evaluation of the Five-in-One Practice Teaching Model
In response to the economic and social development of Tibet Autonomous Region and the demand for information technology construction in the new engineering era, this paper analyzes the communication engineerin...
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Chapter and Conference Paper
Intelligent Network Intrusion Detection and Situational Awareness for Cyber-Physical Systems in Smart Cities
Smart cities are enabled by cyber-physical systems (CPS) which leverage the Internet of Things (IoT) to connect the physical world and information systems. Due to lack of security protection, IoT systems are v...
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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
Visual Realism Assessment for Face-Swap Videos
Deep-learning-based face-swap videos, also known as deepfakes, are becoming more and more realistic and deceiving. The malicious usage of these face-swap videos has caused wide concerns. The research community...
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Chapter and Conference Paper
A GCN-Based Sequential Recommendation Model for Heterogeneous Information Networks
Sequential recommendation is an important task in the research of recommendation methods for heterogeneous information networks, which is a technique of predicting next user behavior according to completed beh...
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Chapter and Conference Paper
Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task
With the increasing capabilities of large language models (LLMs), these high-performance models have achieved state-of-the-art results on a wide range of natural language processing (NLP) tasks. However, the m...
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Chapter and Conference Paper
Chinese Event Causality Identification Based on Retrieval Enhancement
Event causality identification (ECI) is a critical and challenging information extraction task, which aims to identify whether there is a causal relationship between the two events. To address the current prob...
