68 Result(s)
within
Conference Paper
Miaomiao **n
English
Artificial Intelligence
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Chapter and Conference Paper
Network Device Identification Scheme Based on Network Traffic Analysis
Network device identification is the basis of building network topology, which is the premise of preventing malicious attacks. It is of great significance to propose an efficient network device identification ...
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Chapter and Conference Paper
Similarity-Based Prompt Construction for Large Language Model in Medical Tasks
Large Language Model (LLM) has sparked a new trend in Natural Language Processing (NLP), and an increasing number of researches have recognized the potential of using LLM to unify diverse NLP tasks into a text...
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Chapter and Conference Paper
MIDGET: Music Conditioned 3D Dance Generation
In this paper, we introduce a MusIc conditioned 3D Dance GEneraTion model, named MIDGET based on Dance motion Vector Quantised Variational AutoEncoder (VQ-VAE) model and Motion Generative Pre-Training (GPT) model...
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Chapter and Conference Paper
Short-Term Solar Irradiance Forecasting from Future Sky Images Generation
Solar irradiance prediction is critical for the integration of the solar power to the existing power system. A recent trend in the literature is to adopt deep learning-based methods to predict future solar irr...
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Chapter and Conference Paper
Attention Mechanism Based Multi-task Learning Framework for Transportation Time Prediction
Transportation time prediction (TIP) of a truck is one of key tasks for supporting the services in bulk logistics like route planning. But TIP prediction is challenging as it involves travel time prediction and d...
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Chapter and Conference Paper
UniER: A Unified and Efficient Entity-Relation Extraction Method with Single-Table Modeling
Joint entity and relation extraction are crucial tasks in natural language processing and knowledge graph construction. However, existing methods face several challenges. Firstly, they lack effective interacti...
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Chapter and Conference Paper
Disentangled Multi-factor Graph Neural Network for Non-coding RNA-Drug Resistance Association Prediction
Identifying ncRNA-drug resistance associations (NDRAs) can contribute to disease treatment and drug discovery. Currently, graph neural network (GNN)-based methods have shown promising results in this task. How...
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Chapter and Conference Paper
Learning Assumptions for Compositional Verification of Timed Automata
Compositional verification, such as the technique of assume-guarantee reasoning (AGR), is to verify a property of a system from the properties of its components. It is essential to address the state explosion ...
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Chapter and Conference Paper
Practical Model of College Students’ Innovation and Entrepreneurship Education Based on Social Cognitive Career Theory
In the face of fierce competition in the employment environment, it is very necessary for college students to carry out innovation and entrepreneurship education. The practical model of college students’ innov...
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Chapter and Conference Paper
TDCM: Transport Destination Calibrating Based on Multi-task Learning
Accurate location and address of destination are critical for bulk commodity transportation, which determines the service quality of the logistics applications such as transport task dispatching and route plan...
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Chapter and Conference Paper
Compensation Method of Infrared Body Temperature Measurement Accuracy Under Mobile Monitoring Technology
Infrared human body temperature measurement is widely used in medicine because of its high safety and flexibility. But in the process of application, there is a big error with the actual temperature. Identify ...
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Chapter and Conference Paper
QAE: A Hard-Label Textual Attack Considering the Comprehensive Quality of Adversarial Examples
Adversarial examples will induce errors in the target model under the condition that humans can hardly observe the changes between them and the original examples. But low-quality adversarial examples are easil...
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Chapter and Conference Paper
A Multi-level Mixed Perception Network for Hyperspectral Image Classification
Objects in hyperspectral images (HSI) exist many subtle information differences, thus multi-level spectral-spatial perception will be beneficial to discriminative feature learning for HSI. We propose a multi-l...
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Chapter and Conference Paper
CTCNet: A Bi-directional Cascaded Segmentation Network Combining Transformers with CNNs for Skin Lesions
Dermoscopic images segmentation is a key step in skin cancer diagnosis and analysis. Convolutional Neural Networks (CNNs) has achieved great success in various medical image segmentation tasks. However, contin...
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Chapter and Conference Paper
A VPRNN Model with Fixed-Time Convergence for Time-Varying Nonlinear Equation
Robots are widely used in various engineering fields, and the solution to their trajectory tracking problem has attracted increasing attention. Such a problem can be typically transformed into a time-varying n...
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Chapter and Conference Paper
Structure Optimization and Reconfigurable Design of CycleGAN
CycleGAN is an excellent Generative Adversarial Networks (GAN) in image style-transfer, but its complex network model consumes a lot of computation and storage. To simplify the generation network of CycleGAN, ...
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Chapter and Conference Paper
CCDC: A Chinese-Centric Cross Domain Contrastive Learning Framework
Unsupervised/Supervised SimCSE [5] achieves the SOTA performance of sentence-level semantic representation based on contrastive learning and dropout data augmentation. In particular, supervised SimCSE mines posit...
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Chapter and Conference Paper
Learning Deterministic One-Clock Timed Automata via Mutation Testing
In active learning, an equivalence oracle is supposed to answer whether a hypothesis model is equivalent to the system under learning. Its implementation in real applications is considered a major bottleneck f...
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Chapter and Conference Paper
Software Reliability Model Related to Total Number of Faults Under Imperfect Debugging
In the current research on software reliability models, the total number of faults and its relevance to imperfect debugging are not sufficiently emphasized or considered. To solve this problem, we firstly clas...
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Chapter and Conference Paper
Centroid and Mean and Dispersion Degree of Multi-knots Piecewise Linear Fuzzy Numbers
In this paper, formulas for calculating the centroid, the mean and the dispersion degree of multi-knots piecewise linear fuzzy number are respectively obtained. The advantage of the obtained formulas is that u...
