104 Result(s)
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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
An Adaptive Cruise Hybrid Control Method for Unmanned Driving
With the improvement of computer technology and the development of artificial intelligence technology, the intelligent automobile is constantly advancing. As an important part of Advanced Driving Assistance Sy...
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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
Dynamic Event-Triggered Distributed Formation Consistency Control for Multi-UAVs
This study investigates the consistency control problem of distributed multi-Unmanned Aerial Vehicles (multi-UAVs) under dynamic event-triggered mechanism. Firstly, a kind of dynamic event-triggered mechanism ...
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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
Cognitive Impairment Detection System based on Image Segmentation and Artificial Intelligence Art
This paper presents an AI-based system designed to detect cognitive impairments in older adults using modern technologies such as image recognition and AI painting. The System aims to address the limitations o...
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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
Research on Estimation of Kyphosis Degree Based on Monocular Camera for Achieving Furniture’s Adaptive Height Adjustment
Senile kyphosis, characterized by the curvature of the back caused by osteoporosis and muscle degeneration, can impair mobility and even lead to more severe issues such as fractures. In order to address this p...
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Chapter and Conference Paper
Research on Intelligent Manufacturing Training System Based on Industrial Metaverse
Skilled human resource becomes an essential resource for implementing intelligent manufacturing in the new era, prompting high demands on Intelligent Manufacturing Training (IMT). Empowering the effective IMT,...
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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
Evolutionary Machine Learning in Science and Engineering
Evolutionary machine learning (EML) has been increasingly applied to solving diverse science and engineering problems due to the global search, optimization, and multi-objective optimization capabilities of ev...
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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
Evolutionary Neural Network Architecture Search
Deep Neural Networks (DNNs) have been remarkably successful in numerous scenarios of machine learning. However, the typical design for DNN architectures is manual, which highly relies on the domain knowledge a...
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Chapter and Conference Paper
Comprehensive Improved Cooperative Particle Swarm Optimizer for USVs Task Allocation for Detection Missions
Task allocation is the key technology and challenge for unmanned surface vehicles’ (USVs) detect mission. Aiming to improve the rapidity and optimality of task allocation and path planning of USVs formation, t...
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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 and Empowerment
Aesthetics in design are known to be empowering in terms of various perspectives in one’s life. This paper aims to discuss innovative approaches, methodologies, and technologies that can further enhance the ro...
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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
InfoGAN-Enhanced Underwater Acoustic Target Recognition Method Based on Deep Learning
Aiming at the small sample problem of underwater acoustic target recognition (UATR) task, this paper proposes a method which uses InfoGAN to generate underwater acoustic target data for UATR. In this method, t...
