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479 Result(s)
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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
A Multi-source Domain Adaption Approach to Minority Disk Failure Prediction
Frequent happening of disk failures affects the reliability of the storage system, which can cause jittering of performance or even data loss of services and thus seriously threaten the quality of service. Alt...
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Chapter and Conference Paper
Transformer-Based Video Deinterlacing Method
Deinterlacing is a classical issue in video processing, aimed at generating progressive video from interlaced content. There are precious videos that are difficult to reshoot and still contain interlaced conte...
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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
A Fine-Grained Domain Adaptation Method for Cross-Session Vigilance Estimation in SSVEP-Based BCI
Brain-computer interface (BCI), a direct communication system between the human brain and external environment, can provide assistance for people with disabilities. Vigilance is an important cognitive state an...
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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
Efficient and Reliable Federated Recommendation System in Temporal Scenarios
Addressing privacy concerns and the evolving nature of user preferences, it is crucial to explore collaborative training methods for federated recommendation models that match the performance of centralized mo...
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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
Investigation and Analysis of Corneal Morphology in Young Divers
To investigate the corneal morphology of adolescent diving athletes and analyze the related influencing factors. Corneal topographic maps were taken of 42 young athletes (19 males and 23 females, aged 9–17 yea...
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Chapter and Conference Paper
Triple-Path RNN Network: A Time-and-Frequency Joint Domain Speech Separation Model
Studies in speech separation have achieved significant success in recent years. To correctly separate the mixture signals, it is critical to encode the signals into an appropriate latent space. Existing speech...
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Chapter and Conference Paper
Analysis of Scientific Growth Patterns and Citation Distribution Driven by Educational Data Based on Ar**v Database
Research on the number of scientific papers and citations in education data has yielded insights into potential patterns and general laws of scientific growth. We use the ar**v database, encompassing over 1.88...
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Chapter and Conference Paper
Decoupled 2S-AGCN Human Behavior Recognition Based on New Partition Strategy
Human skeleton point data has better environmental adaptability and motion expression ability than RGB video data. Therefore, the action recognition algorithm based on skeletal point data has received more and...
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Chapter and Conference Paper
CSEC: A Chinese Semantic Error Correction Dataset for Written Correction
Existing research primarily focuses on spelling and grammatical errors in English, such as missing or wrongly adding characters. This kind of shallow error has been well-studied. Instead, there are many unsolv...
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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...