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2461
An Improved Particle Swarm Optimization-Powered Adaptive Classification and Migration Visualization for Music Style
Published 2021-01-01“…Based on the adaptive particle swarm algorithm and error backpropagation neural network, this paper proposes methods for different styles of music classification and migration visualization. …”
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2462
Predicting GPR Signals from Concrete Structures Using Artificial Intelligence-Based Method
Published 2021-01-01“…A total of 288 rebar picks were used for training, validation, and testing the proposed Artificial Neural Network (ANN) model. Multiple ANN model configurations with a variation in learning algorithms and the number of nodes in the hidden layer were explored to obtain the optimal model for the nondestructive data. …”
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2463
Deep Domain Adaptation Model for Bearing Fault Diagnosis with Domain Alignment and Discriminative Feature Learning
Published 2020-01-01“…This study proposes an end-to-end unsupervised domain adaptation bearing fault diagnosis model that combines domain alignment and discriminative feature learning on the basis of a 1D convolutional neural network. Joint training with classification loss, center-based discriminative loss, and correlation alignment loss between the two domains can adapt learned representations in the source domain for application to the target domain. …”
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2464
AI vs. Human in Screenwriting: Is AI the Future Screenwriter?
Published 2024-06-01“…The AI model used to generate the script content is Bing Chat, which is powered by ChatGPT 4, a conversational neural network known for its ability to produce natural and coherent text. …”
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2465
A Nonintrusive Load Monitoring Method for Microgrid EMS Using Bi-LSTM Algorithm
Published 2021-01-01“…Comprising long-term and short-term memory (LSTM) network and recurrent neural network (RNN), Bi-LSTM has the advantages of stronger recognition ability. …”
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2466
Social Cognition Deficits: Current Position and Future Directions for Neuropsychological Interventions in Cerebrovascular Disease
Published 2017-01-01“…These functions recruit a widely distributed neural network, making them vulnerable in most cerebrovascular diseases. …”
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2467
Evaluation of Different Few-Shot Learning Methods in the Plant Disease Classification Domain
Published 2025-01-01“…Early detection of plant diseases is crucial for agro-holdings, farmers, and smallholders. Various neural network architectures and training methods have been employed to identify optimal solutions for plant disease classification. …”
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2468
The Hadamard-PINN for PDE inverse problems: Convergence with distant initial guesses
Published 2025-06-01“…This paper presents the Hadamard-Physics-Informed Neural Network (H-PINN) for solving inverse problems in partial differential equations (PDEs), specifically the heat equation and the Korteweg–de Vries (KdV) equation. …”
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2469
Model of Multi-Algorithmic-Based Optimization of 4D Approach Trajectory under Thunderstorm Weather
Published 2024-01-01“…Firstly, the artificial neural network intelligent model was used to predict the thunderstorm movement track. …”
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2470
Analytical Redundancy of Variable Cycle Engine Based on Proper Net considering Multiple Input Variables and the Whole Engine’s Degradation
Published 2021-01-01“…Experiments were compared with performance of analytical redundancy based on Proper net, seven convolutional neural network topological structures, and five shallow learning methods. …”
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2471
Research on image generation technology based on deep learning
Published 2025-01-01“…Deep learning can automatically learn the intrinsic features of images, reaching the goal of generating high-quality images by utilizing multi-layer neural network models. In recent years, deep learning-based image generation technology has made significant progress. …”
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2472
An Orderly EV Charging Scheduling Method Based on Deep Learning in Cloud-Edge Collaborative Environment
Published 2021-01-01“…Then, the load demands and renewable outputs are predicted by a model combined with the convolutional neural network and deep belief network (CNN-DBN). Secondly, the power supply plans for charging stations are determined at the cloud side aiming at minimizing the operating cost of the distribution network via collecting the forecasting results. …”
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2473
A System for Robotic Extraction of Fasteners
Published 2025-01-01“…This study develops a system for extracting cross-recessed screws using a Deep Convolutional Neural Network (DCNN) for screw detection, integrated with industrial robot simulation software. …”
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2474
Truck-Lifting Prevention System Based on Vision Tracking for Container-Lifting Operation
Published 2021-01-01“…The accident detection algorithm combines convolutional neural network detection, traditional image processing, and a multitarget tracking algorithm to calculate the displacement and posture information of the truck during the operation. …”
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2475
Experimental and computational investigation of the effect of machining parameters on the turning process of C45 steel
Published 2025-02-01“…Finally, for practical purposes, an artificial neural network model based on machine learning is developed to predict the average temperature near the turning insert nose.…”
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2476
Double Attention: An Optimization Method for the Self-Attention Mechanism Based on Human Attention
Published 2025-01-01“…To enhance accuracy, we propose the Double-Attention (DA) method, which improves the neural network’s biomimetic performance of human attention. …”
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2477
Urban Traffic Flow Forecast Based on FastGCRNN
Published 2020-01-01“…To address this problem, we propose abstracting the road network into a geometric graph and building a Fast Graph Convolution Recurrent Neural Network (FastGCRNN) to model the spatial-temporal dependencies of traffic flow. …”
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2478
Analysis of Feature Fusion Based on HIK SVM and Its Application for Pedestrian Detection
Published 2013-01-01“…The proposed method combines the histogram of oriented gradient (HOG) and local binary pattern (LBP) features by a concatenated fusion method. Although neural network (NN) is an efficient tool for classification, the time complexity is heavy. …”
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2479
Detection of Data Integrity Attack Using Model and Data-Driven-Based Approach in CPPS
Published 2023-01-01“…The convolutional neural network- (CNN-) based data-driven anomaly detection technique outperforms other machine learning (ML) techniques such as support vector machine (SVM), K-nearest neighbour (KNN), and random forest (RF). …”
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2480
TaxiInt: Predicting the Taxi Flow at Urban Traffic Hotspots Using Graph Convolutional Networks and the Trajectory Data
Published 2021-01-01“…Different from other density-clustering-based approaches, neural network, or OD information based models, TaxiInt predicted the taxi flow using the trajectory data of taxis. …”
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