1,802 Result(s)
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Chapter and Conference Paper
Correlation Analysis Between Insomnia Severity and Depressive Symptoms of College Students Based on Pseudo-Siamese Network
To explore the correlation between emotional mood and sleep quality in a college student population, we propose a new method based on pseudo-siamese network, which can quickly diagnose the causes of depression...
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Chapter and Conference Paper
DiffFind: Discovering Differential Equations from Time Series
Given one or more time sequences, how can we extract their governing equations? Single and co-evolving time sequences appear in numerous settings, including medicine (neuroscience - EEG signals, cardiology - E...
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Chapter and Conference Paper
Research on Communication Power of Cross-Cultural Short Video Based on Qualitative Comparative Analysis
With the continuous cultural communication of Internet bloggers on overseas platforms, exploring the influential factors of short videos on cultural communication became more meaningful. Taking 10 Chinese cult...
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Chapter and Conference Paper
Bearing Fault Diagnosis Based on Prominence Peak-Picking IMFs Selection and PSO-SSAE
Bearing fault diagnosis techniques have been shifted toward using the deep learning (DL) model due to its ability to process the raw vibration signal. However, most of the deep learning models use high-speed d...
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Chapter and Conference Paper
Deep Reinforcement Learning for Delay and Energy-Aware Task Scheduling in Edge Clouds
Edge computing is proving to be a promising model, offering low-latency and high-bandwidth services to the end-users. However, due to the dynamic nature of the network and the heterogeneous computing resources...
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Chapter and Conference Paper
MF-Net: Encrypted Malicious Traffic Detection Based on Multi-flow Temporal Features
Malicious attacks on the network continue to increase, seriously undermining cyberspace security. As the cost of Transport Layer Security(TLS) deployment decreases, attackers generally use encrypted traffic fo...
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Chapter and Conference Paper
Automated Harmonic Signal Removal-Based Image Feature Extraction Technique: A Comparative Study Using Online Databases
This paper presents an automated harmonic removal technique as an efficient method for identifying and removing the influence of harmonics from the output signal. The method involves disregarding user-defined ...
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Chapter and Conference Paper
Generation Method of Dynamic Alarm Baseline for Cloud Server Based on XGBoost and Tolerability
In order to solve the problem that massive server alarm management of cloud data centers in electric power enterprises cannot adapt to the personalized operation of cloud business and lean equipment management...
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Chapter and Conference Paper
Obstacle Avoidance Control Method for Robotic Assembly Process Based on Lagrange PPO
The actual 3C assembly of robotic arms in factories often involves high-risk operations that need to be secured to prevent accidents. However, traditional reinforcement learning (RL) methods tend to pursue hig...
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Chapter and Conference Paper
O&M Portrait Tag Generation and Management of Grid Business Application System Under Microservice Architecture
With the development of microservices architecture, O&M in grid business systems is shifting from the traditional device-oriented approach to demand-oriented user experience and operational data analysis. How ...
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Chapter and Conference Paper
Dynamic Multi-objective Operation Optimization of Blast Furnace Based on Evolutionary Algorithm
Blast furnaces play a critical role in the steel industry, and their operational optimization is crucial for energy conservation and emissions reduction. This paper examines the impact of changes in operationa...
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Chapter and Conference Paper
Where to Forget: A New Attention Stability Metric for Continual Learning Evaluation
Continual learning aims to accumulate knowledge from data streams of multiple tasks, which may suffer catastrophic forgetting due to the data incompleteness in each separate training task. To date, the average...
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Chapter and Conference Paper
A Review of Image and Point Cloud Fusion in Autonomous Driving
In the task of autonomous driving perception scenarios, multi-sensor fusion is gradually becoming the current mainstream trend. At this stage, researchers use multimodal fusion to leverage information and ulti...
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Chapter and Conference Paper
Preference Contrastive Learning for Personalized Recommendation
Recommender systems play a crucial role in providing personalized services but face significant challenges from data sparsity and long-tail bias. Researchers have sought to address these issues using self-supe...
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Chapter and Conference Paper
Research on Data Acquisition and Real-Time Communication for Intelligent Manufacturing Training Equipment Based on Model of Things and Intranet Penetration
Intelligent Manufacturing Training Equipment (IMTE) are featured with high-value shareable training property and high security requirement on human-machine interaction, which prompt urgent demands on equipment...
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Chapter and Conference Paper
Research on Piano Harmony Automatic Orchestration System Based on Deep Learning
The research of piano harmony auto orchestrator system based on deep learning is to create a method to automatically create music scores from the original data of piano music. The original data includes not on...
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Chapter and Conference Paper
Optimal Planning of Hydrogen Refueling Stations Considering Balanced Utilization of Resources
Compared with electric vehicles, hydrogen fuel cell vehicles offer several advantages, including faster speed and longer range. Additionally, hydrogen fuel cell vehicles are powered by hydrogen energy, which i...
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Chapter and Conference Paper
Task-Adaptive Generative Adversarial Network Based Speech Dereverberation for Robust Speech Recognition
Reverberation is known to severely affect speech recognition performance when speech is recorded in an enclosed space. Deep learning-based speech dereverberation has been remarkably successful in recent years,...
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Chapter and Conference Paper
Deployment and Comparison of Large Language Models Based on Virtual Cluster
[Objective] Currently, large language model (LLM) is one of research highlights in the field of natural language processing. This paper selected some open-source LLMs for deployment and comparison from the perspe...
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Chapter and Conference Paper
Research and Innovation of Artificial Intelligence Curriculum System—Under the Background of “Double First-Class” Construction
Under the background that the construction of artificial intelligence technology and intelligent science has become a national strategy, how to establish the development direction of professional characteristi...
