6,833 Result(s)
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Chapter and Conference Paper
Analysis of Significant Cell Differences Between Cancer Patients and Healthy Individuals
At the end of 2019, a global outbreak of a new coronavirus ravaged the world, and to this day, many people’s bodies are still deeply affected by the virus. In order to find out if there is a correlation betwee...
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Chapter and Conference Paper
Short-Text Conceptualization Based on Hyper-Graph Learning and Multiple Prior Knowledge
Short-text conceptualization is a notable task and popular issue in current social network analysis and natural language processing. This line of work usually views the data as a heterogeneous semantic network...
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Chapter and Conference Paper
DQN-Based Applications Offloading with Multiple Interdependent Tasks in Mobile Edge Computing
Recently, Vehicular Edge Computing (VEC) is evolving as a solution for offloading computationally intensive tasks in in-vehicle environments. However, when the number of vehicles and users is large, pure edge ...
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Chapter and Conference Paper
MVD-NeRF: Resolving Shape-Radiance Ambiguity via Mitigating View Dependency
We propose MVD-NeRF, a method to recover high-fidelity mesh from neural radiance fields(NeRFs). The phenomenon of shape radiance ambiguity, where the radiance of a point changes significantly when viewed from ...
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Chapter
Correction to: Natural Language Interfaces to Databases
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Chapter and Conference Paper
A Novel Phase Congruency-Based Image Matching Method for Heterogenous Images
Since different imaging principles of different ges lead to imaging results exhibiting nonlinear intensity differences, this phenomenon makes the traditional image alignment methods based on image gradients ch...
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Chapter and Conference Paper
D-AE: A Discriminant Encode-Decode Nets for Data Generation
Imbalanced datasets often result in poor predictive model performance. To address this, minority class sample expansion is used, but two challenges remain. The first is to use algorithms to learn the main feat...
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Chapter and Conference Paper
Biomedical Causal Relation Extraction Incorporated with External Knowledge
Biomedical causal relation extraction is an important task. It aims to analyze biomedical texts and extract structured information such as named entities, semantic relations and function type. In recent years,...
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Chapter and Conference Paper
Task Offloading in UAV-to-Cell MEC Networks: Cell Clustering and Path Planning
When a natural disaster occurs, ground base stations (BSs) are destroyed and cannot provide communication services. Rapid restoration of communication is of great significance to the lives of trapped persons. ...
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Chapter and Conference Paper
Personal Credit Data Sharing Scheme Based on Blockchain and Access Control
Personal credit plays a vital role in the modern economy and society. However, the traditional centralized credit model suffers from numerous issues, including privacy breaches, data misuse, and unclear data o...
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Chapter and Conference Paper
Dynamic Offloading Based on Meta Deep Reinforcement Learning and Load Prediction in Smart Home Edge Computing
In the edge computing enabled smart home scenario. Various smart home devices generate a large number of computing tasks, and users can offload these tasks to servers or perform them locally. Offloading to the...
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Chapter and Conference Paper
Spatiotemporal Representation Enhanced ViT for Video Recognition
Vision Transformers (ViTs) are promising for solving video-related tasks, but often suffer from computational bottlenecks or insufficient temporal information. Recent advances in large-scale pre-training show ...
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Chapter and Conference Paper
Medical Entity Recognition with Few-Shot Based on Chinese Character Radicals
In medical text entity recognition tasks, Chinese character radicals are often closely related to the semantics of the characters. Based on this insight, we proposed the CSR-ProtoLERT model to integrate Chines...
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Chapter and Conference Paper
CDBMA: Community Detection in Heterogeneous Networks Based on Multi-attention Mechanism
Community detection in complex networks is a fundamental task in network analysis. With the continuous evolution of social networks, network structures are becoming more complex and often contain rich heteroge...
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Chapter and Conference Paper
Cloud-Edge-Device Collaborative Image Retrieval and Recognition for Mobile Web
Efficient image retrieval and recognition are pivotal for optimal mobile web vision services. Traditional web-based solutions offer limited accuracy, high overhead, and struggle with vast image volumes. Transf...
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Chapter and Conference Paper
A Simple but Useful Multi-corpus Transferring Method for Biomedical Named Entity Recognition
In the biomedical field, understanding biomedical texts requires domain-specific knowledge, and the annotation of biomedical texts often requires a lot of human involvement, which makes annotation costly and t...
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Chapter and Conference Paper
Multi-dimensional Sequential Contrastive Learning for QoS Prediction
Quality of service (QoS) is the main factor in service selection and recommendation, and it is influenced by dynamic factors, such as network condition and user location, and static factors represented by the ...
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Chapter and Conference Paper
Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites
Large language models (LLMs) have shown remarkable performance in natural language processing (NLP) tasks. To comprehend and execute diverse human instructions over image data, instruction-tuned large vision-l...
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Chapter
Building an NLIDB: The Basics
The main purpose of this chapter is to help readers to form a high-level understanding of NLIDBs and to better understand and leverage the techniques and approaches to be introduced in the rest of the book. We...
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Chapter and Conference Paper
TNT-Net: Point Cloud Completion by Transformer in Transformer
Estimating the overall structure of a point cloud from a partial 3D point cloud input is a crucial task in computer vision. However, existing point cloud completion methods often overlook object detail informa...
