![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
13,998 Result(s)
-
Chapter and Conference Paper
A Cognitive Approach to the Semantic Change of the Polysemy gàng ‘Wooden Bar’
The semantic meaning of the Chinese word 杠 gàng ‘wooden bar at the front of bed,’ has experienced a long derivational process driven by cognitive mechanisms such as metaphor and metonymy. In this study, we elabor...
-
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, ...
-
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 ...
-
Chapter and Conference Paper
A Study on Native Mandarin Speakers’ Homogeneity of Degree Adverbs and Adjectives
This study aims to investigate whether scale and polarity affect the semantic acceptability of native Mandarin speakers in terms of the collocation between degree adverbs and adjectives via a native corpus ana...
-
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...
-
Chapter and Conference Paper
A Semantic Analysis of Suffocate Verbs
The information of semantic roles can reflect important characteristics of verbs. Among verbs related to animals actions, suffocate verbs have received limited attention in the fields of linguistics and language ...
-
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
Prediction of Rice Processing Loss Rate Based on GA-BP Neural Network
Food is closely related to national economy and people’s livelihood. Rice is the largest grain crop in China, it is crucial to predict the loss rate of rice during processing to reduce food waste and ensure fo...
-
Chapter and Conference Paper
Research on Watermark Embedding of Fax Channel Images Based on U-Net Network
This paper introduces a novel watermarking algorithm based on the U-Net Network to manage and trace the source of fax document leaks. The goal is to enable the embedding and extraction of watermark information...
-
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
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
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
Research on Dynamic Path Planning Algorithm for Unmanned Underwater Vehicles Based on Multi-step Mechanism DDQN
The dynamic path planning capability of UUV in complex underwater environment is difficult to meet the needs of advanced nature. In this paper, Q(λ) algorithm and DDQN algorithm are combined, the updated itera...
-
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...
-
Chapter and Conference Paper
Event Sparse Net: Sparse Dynamic Graph Multi-representation Learning with Temporal Attention for Event-Based Data
Graph structure data has seen widespread utilization in modeling and learning representations, with dynamic graph neural networks being a popular choice. However, existing approaches to dynamic representation ...
-
Chapter and Conference Paper
Research on Hyperspectral Image Target Detection Algorithm Based on Depth Learning
This method includes two steps: (1) The first step is to use neural network to extract depth from the collected hyperspectral images, and then use it to classify the hyperspectral images. (2) The second step i...
-
Chapter and Conference Paper
Review of Traveling Salesman Problem Solution Methods
The Traveling Salesman Problem (TSP) is a key focus in the fields of computer science and operations research, widely applied in areas such as data collection, search and rescue, robot task allocation and sche...
-
Chapter and Conference Paper
Conversations in the Cloud: Crafting Harmony in AliCloud Computing Interaction Design
With the rapid development of cloud services, it has become the core driving force for innovation and business development in the digital era. The emerging technology of cloud computing has transformed cloud s...