14,007 Result(s)
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Chapter
Conclusion and Future Directions
In previous chapters, we have presented our observations and results on mobile data dynamics in heterogeneous wireless networks, from four aspects: the cause, description, governing rule, and impact, respectiv...
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Chapter and Conference Paper
Soil Moisture Prediction Method Based on Machine Learning Algorithm
Soil moisture prediction is a technique for predicting soil moisture content. It is used in agriculture and hydrology to design irrigation systems, predict crop yields, monitor the impact of weather on crops, ...
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Chapter and Conference Paper
Target Detection Algorithm of Forward-Looking Sonar Based on Swin Transformer
In recent years, with the deepening of the exploitation of marine resources, the demand for marine environment exploration is also increasing. However, due to the complex and changeable marine environment, the...
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Chapter and Conference Paper
Automatic Voice Quality Evaluation Method of lVR Service in Call Center Based on Stacked Auto Encoder
The application of virtual reality service in call center makes the voice evaluation quality of call center a research hotspot. Previous voice quality assessment methods could not solve the problem of stacked ...
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Chapter and Conference Paper
A Robust Detection and Correction Framework for GNN-Based Vertical Federated Learning
Graph Neural Network based Vertical Federated Learning (GVFL) facilitates data collaboration while preserving data privacy by learning GNN-based node representations from participants holding different dimensi...
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Chapter and Conference Paper
Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion
Magnetic resonance (MR) images collected in 2D scanning protocols typically have large inter-slice spacing, resulting in high in-plane resolution but reduced through-plane resolution. Super-resolution techniqu...
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Chapter and Conference Paper
Weakly Supervised Method for Domain Adaptation in Instance Segmentation
The domain adaptation of an instance segmentation model has gained much attention. However, manual annotation is tedious and self-training contains too much pseudolabel noise. Inspired by weakly supervised met...
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Chapter and Conference Paper
Triplet Learning for Chest X-Ray Image Search in Automated COVID-19 Analysis
Chest radiology images such as CT scans and X-ray images have been extensively employed in computer-assisted analysis of COVID-19, utilizing various learning-based techniques. As a trending topic, image retrie...
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Chapter and Conference Paper
Trend and Methods of IoT Sequential Data Outlier Detection
In recent years, the state has made great efforts to develop the transportation industry. With the continuous expansion of the transportation network and the large-scale increase of vehicles, traffic congestio...
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Chapter
Introduction
Data, which refers to transmittable and storable computer information, has been an integral part of modern society ever since the invention of computers. Especially in the past decade, its indispensable role in v...
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Chapter
Coverage Dynamics: Modeling and Analysis of Data Coverage in Heterogeneous Edge Networks
Our study in the previous chapter revealed the lifetime of mobile data in large networks, to address the when question. In this chapter, we shift gear to another important aspect of mobile data, that is, the wher...
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Chapter
Spectrum Dynamics: Modeling, Analysis, and Design of Spectrum Activity Surveillance in DSA-Enabled Systems
In the previous chapter, we discussed the impact on network resource by data movements in the offloading process, but it is still not clear how to observe such impact. This is especially true for the spectrum res...
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Chapter and Conference Paper
Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding
In the era of the Internet of Things (IoT), the retrieval of relevant medical information has become essential for efficient clinical decision-making. This paper introduces MedFusionRank, a novel approach to z...
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Chapter and Conference Paper
Dual-Stream Context-Aware Neural Network for Survival Prediction from Whole Slide Images
Whole slide images (WSI) encompass a wealth of information about the tumor micro-environment, which holds prognostic value for patients’ survival. While significant progress has been made in predicting patient...
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Chapter and Conference Paper
Classification Method for Ship-Radiated Noise Based on Joint Feature Extraction
In order to address the problem of poor recognition performance from single signal features in ship identification and to enhance the accuracy of Convolutional Neural Networks (CNNs) in underwater acoustic tar...
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Chapter and Conference Paper
Task Offloading Method for Industrial Internet of Things (IIoT) Targeting Computational Resource Management
In the context of industrial scenarios, devices exhibit specificity and task arrival rates vary over time. Considering real-world task queuing issues and incorporating edge computing offloading and D2D offload...
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Chapter and Conference Paper
Large Language Model for Geometric Algebra: A Preliminary Attempt
Geometric algebra serves as the unified language of mathematics, physics, and engineering in the 21st century. Coinciding with the era of artificial intelligence, the utilization of a Large Language Model (LLM...
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Chapter and Conference Paper
User-Aware Prefix-Tuning Is a Good Learner for Personalized Image Captioning
Image captioning bridges the gap between vision and language by automatically generating natural language descriptions for images. Traditional image captioning methods often overlook the preferences and charac...
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Chapter
Information Dynamics: Modeling and Analysis of Conflicting Information Propagation in a Finite Time Horizon
Information propagation is the driving force of mobile data dynamics. In this chapter, we study information dynamics, particularly the propagation process of conflicting information in networks, to provide in-...
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Chapter
Governing Rules: Modeling and Analysis of Task Offloading Processes in the Fog
In the previous chapters, we discussed the dissemination process of one data block, particularly its lifetime and whereabouts, in wireless networks. As data services quickly migrate to the network edge, which is ...
