51 Result(s)
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Chapter and Conference Paper
Prediction and Characterization of Social Media Communication Effects of Emergencies with Multimodal Information
This paper investigates the communication effects on social media, and their influencing factors. A emergency events dataset spanning the period from 2019 to 2023 is constructed, comprising a large volume of t...
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Chapter and Conference Paper
Pairwise Negative Sample Mining for Human-Object Interaction Detection
In recent years, Human-Object Interaction (HOI) detection has been riding the wave of the development of object detectors. Typically, one-stage methods exploit them by instantiating HOI and detecting them in a...
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Chapter and Conference Paper
TripleMIE: Multi-modal and Multi Architecture Information Extraction
The continuous development of deep learning technology makes it widely used in various fields. In the medical scene, electronic voucher recognition is a very challenging task. Compared with traditional manual ...
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Chapter and Conference Paper
EP-Transformer: Efficient Context Propagation for Long Document
Nowadays, transformers are widely used in NLP applications. However, since the model complexity increases quadratically with sequence length, it is intractable to use transformers on very long documents. In th...
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Chapter and Conference Paper
Multi-target Coverage Control Strategy Based on UAV
This paper presents a method to cover multiple targets on the ground by using a group of unmanned aerial vehicles (UAVs). The Voronoi partition method in traditional coverage control is only applicable to comp...
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Chapter and Conference Paper
Extracting Random Secret Key Scheme for One-Time Pad Under Intelligent Connected Vehicle
With the rapid development of vehicle intelligence, the in-vehicle network is no longer a traditional closed network. External devices can be connected through Bluetooth, WiFi or OBD interfaces, so that attack...
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Chapter and Conference Paper
Biomedical Entity Normalization Using Encoder Regularization and Dynamic Ranking Mechanism
Biomedical entity normalization is a fundamental method for lots of downstream applications. Due to the rich additional information for biomedical entities in medical dictionaries, such as synonyms or definiti...
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Chapter and Conference Paper
A Privacy-Preserving Lightweight Energy Data Sharing Scheme Based on Blockchain for Smart Grid
As many users join the smart grid system, energy companies need user energy data to manage and improve energy delivery. However, while enjoying the services provided by energy companies, the energy data submit...
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Chapter and Conference Paper
LQR Optimal Control Method Based on Two-Degree-of Freedom Manipulator
The robotic arm is a very complex multi-input, multi-output nonlinear system, and it needs to have high trajectory tracking accuracy. In this paper, a mathematical modeling and optimal trajectory tracking cont...
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Chapter and Conference Paper
Brain Tumor Segmentation (BraTS) Challenge Short Paper: Improving Three-Dimensional Brain Tumor Segmentation Using SegResnet and Hybrid Boundary-Dice Loss
The advancements in biotechnology and healthcare have led to the increasing use of artificial intelligence in medical imaging analysis. Recently, image recognition technology such as deep learning has become a...
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Chapter and Conference Paper
Damage Localization and Imaging of Composite Materials Based on Sparse Reconstruction Using Lamb Wave Anisotropy Propagation Model
In order to solve the anisotropy problem of composite materials on the impact of damage localization, a sparse reconstruction imaging method based on Lamb wave anisotropy propagation model is proposed in this ...
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Chapter and Conference Paper
Temperature Prediction of Medium Frequency Furnace Based on Transformer Model
Aiming at the difficulty of continuous measurement of charge temperature in intermediate frequency furnace smelting process, this paper proposes a method of continuous measurement of charge temperature in inte...
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Chapter and Conference Paper
Exploring Ductal Carcinoma In-Situ to Invasive Ductal Carcinoma Transitions Using Energy Minimization Principles
Ductal carcinoma in-situ (DCIS) presents a risk of transformation to malignant intraductal carcinoma (IDC) of the breast. Three tumor suppressor genes RB, BRCA1 and TP53 are critical in curtailing the progress of...
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Chapter and Conference Paper
An Adaptive Low Illumination Color Image Enhancement Method Using Dragonfly Algorithm
In order to improve the visual perception of color images under low illumination conditions, an adaptive enhancement method is proposed to enhance the contrast and brightness, enrich the color and avoid over-e...
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Chapter and Conference Paper
AROA: Attention Refinement One-Stage Anchor-Free Detector for Objects in Remote Sensing Imagery
Object detection in remote sensing images is a typical computer vision application, which has broad requirements in practice. Recently, attention mechanisms have been widely utilized in a diverse range of visu...
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Chapter and Conference Paper
CVNNs-IDS: Complex-Valued Neural Network Based In-Vehicle Intrusion Detection System
The bus of the Controller area Network (CAN) in the vehicle is frequently attacked under the environment of efficient communication. This paper explores ways to hide features of the intrusion detection system ...
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Chapter and Conference Paper
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data
With the rapid development of biomedical software and hardware, a large amount of relational data interlinking genes, proteins, chemical components, drugs, diseases, and symptoms has been collected for modern ...
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Chapter and Conference Paper
Superpixel-Based Saliency Guided Intersecting Cortical Model for Unsupervised Object Segmentation
Unsupervised object segmentation aims to assign same label to pixels of object region with feature homogeneity, which can be applied to object detection and recognition. Intersecting cortical model (ICM) can s...
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Chapter and Conference Paper
Continuous Estimation of Grasp Kinematics with Real-Time Surface EMG Decomposition
The aim of the study was to apply the real-time surface electromyography (EMG) decomposition to the continuous estimation of grasp kinematics. A real-time decomposition scheme based on the convolutional compen...
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Chapter and Conference Paper
Ten-Years Research Progress of Natural Language Understanding Based on Perceptual Formalization
This paper introduces the research progress of machinery truly understanding of natural language from three aspects. First, this paper explains why to carry out data or feature description by perceptual struct...
