135 Result(s)
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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 Velocity Controller for Quadrotors Based on Reinforcement Learning
UAVs based on PID controllers are having increasing difficulties in handling complex tasks. Whereas, reinforcement learning-based high-dimensional models provide an important entry point for flight control to ...
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Chapter and Conference Paper
A Ship Target Intelligent Detection Algorithm Based on Improved YOLOv5s
Currently, the deep learning-based synthetic aperture radar (SAR) image target detection methods have limited detection ability on small targets, and their accuracy needs to be improved either. In order to imp...
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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
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
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
KSRE-CNER: A Knowledge and Semantic Relation Enhancement Framework for Chinese NER
Chinese named entity recognition (CNER) constitutes a pivotal undertaking entailing the identification and classification of named entities present within Chinese text. Traditional approaches based on CNN and ...
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Chapter and Conference Paper
MMFA-Net: A New Brain Tumor Segmentation Method Based on Multi-modal Multi-scale Feature Aggregation
Precise brain tumor segmentation is crucial for brain cancer diagnosis. Magnetic resonance imaging (MRI) plays an essential role in tumor segmentation due to the abundant information in multi-model data. Howev...
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Chapter
Brain-Computer Interfaces in Visualized Medicine
The brain-computer interface (BCI), also known as a brain-machine interface (BMI), has attracted extensive attention in biomedical applications. More importantly, BCI technologies have substantially revolution...
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Chapter
Introduction
The ocean is a treasure house of resources and the source of life. With the decrease of land resources, the ocean has become one of the important sources of human resources in the future.
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Chapter and Conference Paper
MMID: Combining Maximized the Mutual Information and Diffusion Model for Image Super-Resolution
The Denoising Diffusion Probabilistic Models (DDPM) [11] have shown promise in recovering realistic details for single image super-resolution (SISR). However, the diffusion model’s recovery results often suffer f...
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Chapter and Conference Paper
Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization
The success of existing video super-resolution (VSR) algorithms stems mainly exploiting the temporal information from the neighboring frames. However, none of these methods have discussed the influence of the ...
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Chapter and Conference Paper
Multi-modal Multi-emotion Emotional Support Conversation
This paper proposes a new task of Multi-modal Multi-emotion Emotional Support Conversation (MMESC), which has great value in various applications, such as counseling, daily chatting, and elderly company. This tas...
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Chapter
Motion Control of the Underwater Biomimetic Robot
In this chapter, the basic motion control methods of underwater bio-inspired robot are mainly introduced.
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Chapter
Autonomous Gras** Control of the Underwater Biomimetic Vehicle-Manipulator System
This chapter introduces the autonomous gras** control method of the underwater biomimetic vehicle-manipulator system (UBVMS) based on visual positioning.
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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
Application of Data Encryption in Chinese Named Entity Recognition
Recently, with the continuous development of deep learning, there has been a significant improvement in the performance of named entity recognition tasks. However, privacy and confidentiality concerns in speci...
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Chapter and Conference Paper
Unsupervised Deep Learning-Based Hybrid Beamforming in Massive MISO Systems
Hybrid beamforming (HBF) is a promising approach for balancing the hardware cost, training overhead and system performance in massive MIMO systems. Optimizing the HBF through deep learning (DL) has gained cons...
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Chapter and Conference Paper
A LiDAR Based Control Solution to Achieve High Precision in Autonomous Parking
Autonomous driving has been quite promising in recent years. While autonomous driving vehicles certainly have a bright future, we have to admit that it is still challenging in complex interactive scenarios. On...
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Chapter and Conference Paper
GeoGTI: Towards a General, Transferable and Interpretable Site Recommendation
Lack of data and weak interpretability are the main problems faced by store site recommendations. This paper presents a unified site recommendation system called GeoGTI (General,Transferable and Interpretable), w...
