161 Result(s)
within
Conference Paper
Miaomiao **n
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Chapter and Conference Paper
Exploring the Integration of Neural Networks in Quality-Oriented Education for Undergraduates: Evolutionary Computing-Based Personalized Learning Path Recommendation
This study will explore the design, implementation, and evaluation of a neural network-based recommendation system that suggests learning resources tailored to the unique requirements of undergraduate students...
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Chapter and Conference Paper
DADR: A Denoising Approach for Dense Retrieval Model Training
With the development of representation learning techniques, Dense Retrieval (DR) has become a new paradigm to retrieve relevant texts for better ranking performance. Although current DR models have achieved en...
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Chapter and Conference Paper
Network-Based Fast Analysis Method for Aircraft Reachable Area
In order to solve the issue of rapid collaborative mission planning for aircraft, a basic process for using neural networks to train intelligent prediction models to solve the reachable range is proposed. Firs...
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Chapter and Conference Paper
Research on Sampling and Analysis Methods for Trace Particulate in Hydrogen Fuel
The quality control of hydrogen for fuel cells has an important impact on the scale application of hydrogen energy. The international and China national standards have strict regulations on the content of gas ...
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Chapter and Conference Paper
Multi-aircraft Path Planning Method for Cooperative Mission
Multi-aircraft swarm and autonomous collaboration are inevitable trends in future development, and this paper mainly studies the multi-aircraft cooperative trajectory planning problem model and collaborative s...
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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
Evaluation of Deep Clustering for Assessing Undergraduate Understanding in Ideological and Political Education: Data-Driven Analytics
Assessing undergraduate students’ understanding of ideological and political education is vital for effective teaching and curriculum improvement. Traditional evaluation methods often need to be improved in ca...
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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
Life Cycle Assessment of Continuously Reinforced Concrete Pavement Overlay on Concrete Road Rehabilitation: Insights from Two Case Studies
In the realm of rehabilitating existing jointed plain concrete pavement (JPCP) or continuous reinforced concrete pavement (CRCP), the conventional choice is asphalt concrete (AC) overlays due to the cost-effec...
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Chapter and Conference Paper
Application of AHP Algorithm Based on Data Mining in Higher Education Teaching Evaluation System
The higher education teaching evaluation is receiving increasing attention. AHP (Analytic Hierarchy Process) is a multi domain and multi-level analysis method for decision-making problems, which is also widely...
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Chapter and Conference Paper
Hybrid THz Communication and MMW Sensing System Using a Packaged Silicon Photonics Module
Joint communication and radar (JCR) is highly anticipated in industrial and domestic applications. Photonics-assisted techniques provide a promising approach for integration of communication and sensing in the...
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Chapter and Conference Paper
Risk-Based Network-Level Pavement Treatment Optimization for Greenhouse Gas Emission Reduction
Transportation-related emissions are a major contributor to global greenhouse gas (GHG) emissions and are closely linked to pavement performance. Effective pavement treatment practices are crucial for sustaini...
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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
University Teaching Quality Evaluation Technology Based on OLAP and SVM Algorithm
The focus of this research is to develop a new technology based on OLAP and SVM algorithm to evaluate the quality of university teaching. The main goal of this study is to find the best technology to measure t...
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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
Online Task Assignment Method of Multi-aircraft Based on Decreasing Pheromone Ant Colony Algorithm
This paper focuses on the online task assignment of multi-aircraft. The constraint condition model and cost model are established by considering aircraft capability, target value, forbidden zone. In order to e...
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Chapter and Conference Paper
Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning
Accurate segmentation of punctate white matter lesions (PWMLs) are fundamental for the timely diagnosis and treatment of related developmental disorders. Automated PWMLs segmentation from infant brain MR image...
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Chapter and Conference Paper
MetaMorph: Learning Metamorphic Image Transformation with Appearance Changes
This paper presents a novel predictive model, MetaMorph, for metamorphic registration of images with appearance changes (i.e., caused by brain tumors). In contrast to previous learning-based registration metho...
