12,474 Result(s)
within
Computer Science
Computer Communication Networks
**mo Wang
Chapter
Conference Paper
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
Chapter and Conference Paper
Cross-channel Image Steganography Based on Generative Adversarial Network
Traditional steganographic algorithms often suffer from issues such as low visual quality and limited resilience against steganalysis at high-capacity data embedding. To address these limitations, this paper p...
-
Chapter and Conference Paper
Decoupled Contrastive Learning for Long-Tailed Distribution
Self-supervised contrastive learning is popularly used to obtain powerful representation models. However, unlabeled data in the real world naturally exhibits a long-tailed distribution, making the traditional ...
-
Chapter and Conference Paper
PPI-NET: End-to-End Parametric Primitive Inference
In engineering applications, line, circle, arc, and point are collectively referred to as primitives, and they play a crucial role in path planning, simulation analysis, and manufacturing. When designing CAD m...
-
Chapter and Conference Paper
Power Transmission and Transformation Risk Management System Based on EWM Calculation and AHP
Aiming at the evaluation and management of transmission project investment risk under the new power market environment, a scheme combining the analytical hierarchy process (AHP) and the entropy weight method (...
-
Chapter and Conference Paper
Correction to: A Survey of Control Flow Graph Recovery for Binary Code
-
Chapter and Conference Paper
Convolutional Neural Network Based on Multiple Attention Mechanisms for Hyperspectral and LiDAR Classification
With the emergence of a large number of remote sensing data sources, how to effectively use the useful information in multi-source data for better earth observation has become an interesting but challenging pr...
-
Chapter and Conference Paper
Convolutional Neural Network Prediction Error Algorithm Based on Block Classification Enhanced
Reversible data hiding techniques can effectively solve the information security problem, and One crucial approach to enhance the level of reversible data hiding is to predict images with higher accuracy, ther...
-
Chapter and Conference Paper
Distributional Kernel: An Effective and Efficient Means for Trajectory Retrieval
In this paper, we propose a new and powerful way to represent trajectories and measure the distance between them using a distributional kernel. Our method has two unique properties: (i) the identity property w...
-
Chapter and Conference Paper
Damage Identification Method of Building Structure Based on Computer Vision
Under the influence of load, earthquake, settlement and other factors, the building structure will be damaged to different degrees. If the building structure damage is not found and handled in time, it will le...
