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681
Distribution and Evolution of Chorus Waves Modeled by a Neural Network: The Importance of Imbalanced Regression
Published 2023-10-01Subjects: Get full text
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682
A New Early Rumor Detection Model Based on BiGRU Neural Network
Published 2021-01-01Get full text
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683
The Application of Convolutional Neural Network Combined with Fuzzy Algorithm in Colorectal Endoscopy for Tumor Assessment
Published 2022-01-01“…In this study, the convolutional neural network was used to assess the risk of tumor in the colon by colonoscopy. …”
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684
Advancements in the Application of Convolutional Neural Networks in Ultrasound Imaging for Breast Cancer Diagnosis and Treatment
Published 2025-03-01Subjects: “…|breast cancer|ultrasonography|computer neural networks…”
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685
Advantages of Combining Factorization Machine with Elman Neural Network for Volatility Forecasting of Stock Market
Published 2021-01-01“…The results were compared with predictions obtained from the other two models which are basic BP neural network and the Elman neural network. Some experiments showed that the FM-Elman model outperforms others through different accuracy measures. …”
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686
Constant Force PID Control for Robotic Manipulator Based on Fuzzy Neural Network Algorithm
Published 2020-01-01“…In order to overcome this issue, a PID controller based on fuzzy neural network algorithm is developed in this paper for tracking the trajectory and contact constant force simultaneously. …”
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687
Collaborative Governance of Rural Relative Poverty under Blockchain and Back Propagation Neural Network
Published 2022-01-01“…It aims at exploring the effect of coordinated relative poverty governance in rural areas based on blockchain and back propagation (BP) neural network, so that the living standard of rural areas can be significantly improved. …”
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688
Facial Emotion Recognition and Classification Using the Convolutional Neural Network-10 (CNN-10)
Published 2023-01-01“…The motivation for applying the convolutional neural network-10 (CNN-10) model for facial expression recognition stems from its ability to detect spatial features, manage translation invariance, understand expressive feature representations, gather global context, and achieve scalability, adaptability, and interoperability with transfer learning methods. …”
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689
Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection
Published 2025-01-01Subjects: Get full text
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690
Data Checking of Asymmetric Catalysis Literature Using a Graph Neural Network Approach
Published 2025-01-01Subjects: “…graph neural networks…”
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691
Lie Detection Technology of Bimodal Feature Fusion Based on Domain Adversarial Neural Networks
Published 2024-01-01“…To solve this problem, we propose a lie detection technique based on a domain adversarial neural network employing a dual-mode state feature. First, a deep learning neural network was used as a feature extractor to isolate speech and facial expression features exhibited by the liars. …”
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692
Mounting Angle Prediction for Automotive Radar Using Complex-Valued Convolutional Neural Network
Published 2025-01-01Subjects: Get full text
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693
Retracted: Electronic Information Signal Recognition Based on a Stochastic Neural Network Algorithm
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694
Weigh-in-Motion Method Based on Modular Sensor System and Axle Recognition with Neural Networks
Published 2025-01-01“…This paper proposes a new modular system based on multi-sensor fusion and neural network axle recognition to address issues concerning the high failure rate of axle recognition devices and low weighing accuracy. …”
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695
Modeling of Ultraviolet Aurora Intensity Associated With Interplanetary and Geomagnetic Parameters Based on Neural Networks
Published 2021-11-01Subjects: Get full text
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696
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697
Power short-term load forecasting based on big data and optimization neural network
Published 2016-10-01Subjects: “…parallel PSO to optimize the neural network…”
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698
Analysis of the Severity of Accidents on Rural Roads Using Statistical and Artificial Neural Network Methods
Published 2023-01-01“…In addition, two artificial neural network (ANN) models were developed using two kinds of learning methods to train neurons to select the best result. …”
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699
Quasi-Synchronization of Nonidentical Fractional-Order Memristive Neural Networks via Impulsive Control
Published 2021-01-01“…This paper investigates the quasi-synchronization of nonidentical fractional-order memristive neural networks (FMNNs) via impulsive control. Based on a newly provided fractional-order impulsive systems comparison lemma, the average impulsive interval definition, and the Laplace transform, some quasi-synchronization conditions are obtained with fractional order 0<α<1. …”
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700
Automatic Sleep Stage Classification Based on Convolutional Neural Network and Fine-Grained Segments
Published 2018-01-01“…Hence, we propose an automatic sleep stage classification method based on a convolutional neural network (CNN) combined with the fine-grained segment in multiscale entropy. …”
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