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REFD:recurrent encoder and fusion decoder for temporal knowledge graph reasoning
Reasoning over Temporal Knowledge Graphs (TKGs) presents challenges in modeling the dynamic relationships and evolving behaviors of entities and...
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Two efficient beamforming methods for hybrid IRS-aided AF relay wireless networks
Owing to its ability to mitigate the double-fading effect by amplifying the reflected signal, the active intelligent reflecting surface (IRS) has...
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Two-factor authentication for intellectual property transactions based on improved zero-knowledge proof
In view of the problems of false property rights and difficulties in identity authentication in intellectual property transactions, an identity...
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Integrating D–S evidence theory and multiple deep learning frameworks for time series prediction of air quality
Accurate prediction of air quality time series data is helpful to identify and warn air pollution events in advance. Although the current air quality...
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AI and Multimodal Services – AIMS 2024 13th International Conference, Held as Part of the Services Conference Federation, SCF 2024, Bangkok, Thailand, November 16–19, 2024, Proceedings
This book constitutes the refereed proceedings of the 13th International Conference on AI and Multimodal Services – AIMS 2024, AIMS 2024, Held as...
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Chronobridge: a novel framework for enhanced temporal and relational reasoning in temporal knowledge graphs
The task of predicting entities and relations in Temporal Knowledge Graph (TKG) extrapolation is crucial and has been studied extensively. Mainstream...
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A multibranch and multiscale neural network based on semantic perception for multimodal medical image fusion
Medical imaging is indispensable for accurate diagnosis and effective treatment, with modalities like MRI and CT providing diverse yet complementary...
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FCNet: a deep neural network based on multi-channel feature cascading for image denoising
A lot of current work based on convolutional neural networks (CNNs) has fetched good visual results on AWGN (additive white Gaussian noise) removal....
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Context-aware environment online monitoring for safety autonomous vehicle systems: an automata-theoretic approach
Intelligent Transport System (ITS) is a typical class of Cyber-Physical Systems (CPS), and due to the special characteristics of such systems, higher...
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Channel Extraction of Ship Trajectories Based on Improved DBSCAN
The vast expanse of the seas around Hainan island generates massive amounts of AIS data every day. Therefore, clustering trajectory data to extract...
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Efficient slot correlation learning network for multi-domain dialogue state tracking
Task-oriented dialogue systems depend on dialogue state tracking to keep track of the intentions of users in the course of conversations. Recent...
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Developing non-invasive 3D quantificational imaging for intelligent coconut analysis system with X-ray
BackgroundAs one of the largest drupes in the world, the coconut has a special multilayered structure and a seed development process that is not yet...
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Review and Enhancement of Discrete Cosine Transform (DCT) for Medical Image Fusion
An image fusion is a kind of single process which combines the necessary or efficient information from a set of different or similar input images...
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An improved spider optimization algorithm coordinated by pheromones
Swarm intelligence algorithm is an important evolutionary computation method that optimizes the objective function by imitating the behaviors of...
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Robust watermarking algorithm for medical images based on log-polar transform
In the information age, network security has gradually become a potentially huge problem, especially in the medical field, it is essential to ensure...
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A noise level estimation method of impulse noise image based on local similarity
The detection and removal methods of impulse noise often need to estimate the noise level of the damaged image in advance to obtain a better...
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Background Subtraction Based on Visual Saliency
Visual salience plays a significant role in the process of real life to quickly extract necessary information from complex scenes. The...
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An Underwater Image Color Correction Algorithm Based on Underwater Scene Prior and Residual Network
Color distortion in underwater scenes affect the accuracy of pattern recognition, visual understanding and key feature extraction work of underwater...
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Target-Driven Autonomous Robot Exploration in Mappless Indoor Environments Through Deep Reinforcement Learning
In this paper, we present a deep reinforcement learning (DRL)-based autonomous end-to-end system for wheeled robots in an unmapped environment....
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Robust Zero Watermarking Algorithm for Medical Images Using Local Binary Pattern and Discrete Cosine Transform
Thanks to the rapid development of the telemedicine, medical treatment has turned in great convenience. However, as the internet network can be...