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Chapter and Conference Paper
A Sampling Method for Performance Predictor Based on Contrastive Learning
Performance predictors are commonly dedicated to mitigating the substantial resource consumption of neural architecture search. Nevertheless, existing performance predictors are typically constructed based on ...
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Chapter and Conference Paper
Learning Efficient Representations for Image-Based Patent Retrieval
Patent retrieval has been attracting tremendous interest from researchers in intellectual property and information retrieval communities in the past decades. However, most existing approaches rely on textual a...
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Chapter and Conference Paper
Adaptive Elimination Particle Swarm Optimization Algorithm for Logistics Scheduling
The particle swarm optimization algorithm sets few parameters, is easy to operate, and has now been successfully applied to various optimization problems. For the logistics scheduling problem, in the face of c...
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Chapter and Conference Paper
Exploiting Diffusion Model as Prompt Generator for Object Localization
Recently, diffusion models have shown unprecedented power in text-to-image generation. The intermediate features in well-trained text-to-image diffusion models have been proven to contain basic semantic and la...
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Chapter and Conference Paper
HRMOT: Two-Step Association Based Multi-object Tracking in Satellite Videos Enhanced by High-Resolution Feature Fusion
Multi-object tracking in satellite videos (SV-MOT) is one of the most challenging tasks in remote sensing, its difficulty mainly comes from the low spatial resolution, small target and extremely complex backgr...
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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
Sustainable Hybrid of Agriculture and Urban Ecology Base on Web 3.0 Technology
This paper addresses the global issues of food scarcity and ecological imbalances, resulting in hunger, malnutrition, and health complications. To foster sustainable development and harmonize human-ecological ...
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Chapter and Conference Paper
The Trends and Research Progress of Mental Models in Interaction Design: A Bibliometric Study
This study systematically summarizes the global characteristics of interaction design centricity model research in the international context, which grasps the current research progress and hotspots and explore...
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Chapter and Conference Paper
The Formation Features and Structural Mechanism of Modern Chinese “Vcooking+N” Structure
The monosyllabic verbs in modern Chinese should not be used as attributives directly, but the monosyllabic verbs that express the cooking meaning can be used as attributives directly, forming the ambiguous str...
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Chapter and Conference Paper
Aesthetics-Diven Online Summarization to First-Person Tourism Videos
Nowadays video blog (vlog) has gradually become popular. In scenarios such as tourism, many vloggers use mobile terminals to record first-person videos, which have redundant information, complex scenes and con...
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Chapter and Conference Paper
Research on Mining Algorithm and Its Application in Mine Safety Management Education
The progress of social times has promoted the development of all walks of life in China. With the continuous development of modern industry, the demand for mineral resources is increasing. However, while minin...
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Chapter and Conference Paper
A Deep Reinforcement Learning Approach to Online Microservice Deployment in Mobile Edge Computing
Mobile edge computing (MEC) is receiving growing attention. In MEC environments, application requests (i.e., a set of consecutive microservice requests) of users are first sent to nearby edge servers, which ca...
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Chapter and Conference Paper
Design and Performance Analysis of a Smart Bag Reminder System for Parents
The parents of a newborn must pay close attention at all times in order to keep track of the many details involved in caring for their child. When leaving the house with a newborn, it can be difficult for pare...
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Chapter and Conference Paper
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators
Convolutional neural networks (CNNs) have been widely applied in many safety-critical domains, such as autonomous driving and medical diagnosis. However, concerns have been raised with respect to the trustwort...
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Chapter and Conference Paper
Edge Collaborative Task Scheduling and Resource Allocation Based on Deep Reinforcement Learning
With the development of the sixth generation mobile network (6G), the arrival of the Internet of Everything (IoE) is accelerating. An edge computing network is an important network architecture to realize the ...
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Chapter and Conference Paper
A Novel Nonlinear Dictionary Learning Algorithm Based on Nonlinear-KSVD and Nonlinear-MOD
At present, scholars have proposed numerous linear dictionary learning methods. In the field of dictionary learning, linear dictionary learning is the most commonly applied method, and it is typically utilized...
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Chapter and Conference Paper
EasyPainter: Customizing Your Own Paintings
With the advance in deep learning techniques, increasing attention has been paid to studying the creation capacity of artificial intelligence (AI) models. AI-based painting image generation not only streamline...
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Chapter and Conference Paper
Kalman Filter Algorithm Based on Sheep Herding Optimization
When dealing with the real track, the environment is often an unpredictable factor, so filtering is very important. We can use the filter to eliminate the influence of noise as much as possible. Kalman filter ...
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Chapter and Conference Paper
A Metagraph-Based Model for Predicting Drug-Target Interaction on Heterogeneous Network
Determining drug-target interactions (DTIs) is an important task in drug discovery and drug relocalization. Currently, different models have been proposed to predict the potential interactions between drugs an...
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Chapter and Conference Paper
A Gamified Solution to the Cold-Start Problem of Intelligent Tutoring System
Today’s intelligent tutoring systems provide more intelligent but complex services to learners. These systems encounter two critical issues: 1) the initial lack of new learner’s information for running complex...