Showing 3,401 - 3,420 results of 3,911 for search '"neural networks"', query time: 0.08s Refine Results
  1. 3401

    Motor Cortical Networks for Skilled Movements Have Dynamic Properties That Are Related to Accurate Reaching by David F. Putrino, Zhe Chen, Soumya Ghosh, Emery N. Brown

    Published 2011-01-01
    “…Neurons in the Primary Motor Cortex (MI) are known to form functional ensembles with one another in order to produce voluntary movement. Neural network changes during skill learning are thought to be involved in improved fluency and accuracy of motor tasks. …”
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  2. 3402

    Sudden Intrabulbar Amyloid Increase Simultaneously Disrupts Olfactory Bulb Oscillations and Odor Detection by Rebeca Hernández-Soto, Keila Dara Rojas-García, Fernando Peña-Ortega

    Published 2019-01-01
    “…Moreover, this loss of smell appears to be related to alterations in neural network activity in several olfactory-related circuits, including the OB, as has been observed in anesthetized animals and brain slices. …”
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  3. 3403

    Automatic Tracking and Characterization of Cumulonimbus Clouds from FY-2C Geostationary Meteorological Satellite Images by Yu Liu, Du-Gang Xi, Zhao-Liang Li, Chun-Xiang Shi

    Published 2014-01-01
    “…First, a seeded region growing (SRG) algorithm is used with artificial neural network (ANN) cloud classification as preprocessing to identify consistent homogeneous Cb patches from infrared images. …”
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  4. 3404

    Confirmation of Thermal Images and Vibration Signals for Intelligent Machine Fault Diagnostics by Achmad Widodo, Djoeli Satrijo, Toni Prahasto, Gang-Min Lim, Byeong-Keun Choi

    Published 2012-01-01
    “…This paper deals with the maintenance technique for industrial machinery using the artificial neural network so-called self-organizing map (SOM). The aim of this work is to develop intelligent maintenance system for machinery based on an alternative way, namely, thermal images instead of vibration signals. …”
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  5. 3405

    A Hierarchical Attention Recommender System Based on Cross-Domain Social Networks by Rongmei Zhao, Xi Xiong, Xia Zu, Shenggen Ju, Zhongzhi Li, Binyong Li

    Published 2020-01-01
    “…Recently, the recommendation algorithm of graph neural network based on social network has greatly improved the quality of the recommendation system. …”
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  6. 3406

    Acoustic Trauma Changes the Parvalbumin-Positive Neurons in Rat Auditory Cortex by Congli Liu, Tao Xu, Xiaopeng Liu, Yina Huang, Haitao Wang, Bin Luo, Jingwu Sun

    Published 2018-01-01
    “…Parvalbumin-containing neurons (PV neurons), a subset of GABAergic neurons, greatly shape and synchronize neural network activities. However, the change of PV neurons following acoustic trauma remains to be elucidated. …”
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  7. 3407

    Model Predictive Engine Air-Ratio Control Using Online Sequential Relevance Vector Machine by Hang-cheong Wong, Pak-kin Wong, Chi-man Vong

    Published 2012-01-01
    “…This study shows that the accuracy, training, and updating time of the RVM model are superior to the latest modelling methods, such as diagonal recurrent neural network (DRNN) and decremental least-squares support vector machine (DLSSVM). …”
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  8. 3408

    A New Evaluation Method of Total Organic Carbon for Shale Source Rock Based on the Effective Medium Conductivity Theory by Jian Fu, Xuesong Li, Yonghe Sun, Qiuli Huo, Ting Gao, Li Fu, Yuchen Liu, Suxing Dong, Haijun Fan

    Published 2021-01-01
    “…At present, the commonly used methods for assessing TOC include △logR and neural network method. However, practice shows that these methods have limitations in the application of unconventional intervals of sand-shale interbeds, and they cannot sufficiently reflect the variation of TOC in the vertical direction. …”
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  9. 3409

    Applying in machine learning and deep learning in finance industry: A case study on repayment prediction by Nguyễn Phát Đạt, Hồ Mai Minh Nhật, Trương Công Vinh, Lê Quang Chấn Phong, Lê Hoành Sử

    Published 2024-12-01
    “…Employed techniques encompass Logistic Regression (LR), K-Nearest Neighbor (KNN), Extreme Gradient Boosting (XGB), Light Gradient Boosting Machine (LGBM), in conjunction with deep learning architectures such as Long Short-Term Memory (LSTM) and Artificial Neural Network (ANN). Following methodological refinement, it becomes apparent that ensemble learning approaches, exemplified by XGB and LGBM, exhibit markedly superior predictive performance, surpassing conventional models with an accuracy rate exceeding 85%. …”
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  10. 3410

    Coincidence Detection Using Spiking Neurons with Application to Face Recognition by Fadhlan Kamaruzaman, Amir Akramin Shafie, Yasir M. Mustafah

    Published 2015-01-01
    “…We elucidate the practical implementation of Spiking Neural Network (SNN) as local ensembles of classifiers. …”
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  11. 3411

    Deep Multiscale Soft-Threshold Support Vector Data Description for Enhanced Heavy-Duty Gas Turbine Generator Sets’ Anomaly Detection by Zhang Kun, Li Hongren, Wang Xin, Xie Daxing, Sun Xiaokai

    Published 2024-01-01
    “…The model combines a support vector data description (SVDD) with a deep autoencoder backbone network framework, integrating a multiscale convolutional neural network (M) and soft-threshold activation network (S) into the Deep-SVDD framework. …”
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  12. 3412

    Emotional recognition of EEG signals utilizing residual structure fusion in bi-directional LSTM by Yue Xu, Yunyuan Gao, Zhengnan Zhang, Shunlan Du

    Published 2024-12-01
    “…The experimental results demonstrated that the novel neural network model proposed in this paper had outperformed currently available methods in emotion recognition tasks.…”
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  13. 3413

    Rancidity Estimation of Perilla Seed Oil by Using Near-Infrared Spectroscopy and Multivariate Analysis Techniques by Suk-Ju Hong, Shin-Joung Rho, Ah-Yeong Lee, Heesoo Park, Jinshi Cui, Jongmin Park, Soon-Jung Hong, Yong-Ro Kim, Ghiseok Kim

    Published 2017-01-01
    “…Preprocessing methods were applied to the transmittance spectra of perilla seed oil, and multivariate analysis techniques, such as principal component regression (PCR), partial least squares regression (PLSR), and artificial neural network (ANN) modeling, were employed to develop the models. …”
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  14. 3414

    Weakly-Supervised Deep Shape-From-Template by Sara Luengo-Sanchez, David Fuentes-Jimenez, Cristina Losada-Gutierrez, Daniel Pizarro, Adrien Bartoli

    Published 2025-01-01
    “…WS-DeepSfT addresses the limitations of existing SfT techniques by combining a weakly-supervised deep neural network (DNN) for registration and a classical As-Rigid-As-Possible (ARAP) algorithm for 3D reconstruction. …”
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  15. 3415

    Intelligent Vision-Enabled Detection of Water-Surface Targets for Video Surveillance in Maritime Transportation by Yongqi Guo, Yuxu Lu, Yu Guo, Ryan Wen Liu, Kwok Tai Chui

    Published 2021-01-01
    “…To alleviate these limitations, we first investigate the influences of visibility enhancement methods on detection results and then propose a neural network-empowered water-surface target detection framework. …”
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  16. 3416

    Multi‐Wound Classification: Exploring Image Enhancement and Deep Learning Techniques by Prince Odame, Maxwell Mawube Ahiamadzor, Nana Kwaku Baah Derkyi, Kofi Agyekum Boateng, Kelvin Sarfo‐Acheampong, Eric Tutu Tchao, Andrew Selasi Agbemenu, Henry Nunoo‐Mensah, Dorothy Araba Yakoba Agyapong, Jerry John Kponyo

    Published 2025-01-01
    “…The approaches used included Contrast Limited Adaptive Histogram Equalization (CLAHE) with machine and deep learning models, Discrete Wavelet Transformations (DWT) with a novel Gated Wavelet Convolutional Neural Network (CNN) model, and FixCaps, an improved version of Capsule Networks utilizing Convolutional Block Attention Module (CBAM) to reduce spatial information loss. …”
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  17. 3417

    Skin Lesion Image Segmentation Algorithm Based on MC-UNet by Guihua Yang, Bingxing Pan

    Published 2025-01-01
    “…Aiming at the situation of dermatoscopic images with fuzzy lesion boundaries, variable morphology and high similarity to background, this paper proposes a skin lesion segmentation algorithm that achieves higher segmentation accuracy by combining existing convolutional neural network methods. The algorithm begins by using a Multiscale Residual Block (MRB) with different-sized convolutional kernels to enlarge the receptive field and extract multi-scale features of dermatoscopic images. …”
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  18. 3418

    Efficient Load Forecasting Optimized by Fuzzy Programming and OFDM Transmission by Sandeep Sachdeva, Maninder Singh, U. P. Singh, Ajat Shatru Arora

    Published 2011-01-01
    “…To reduce the error of load forecasting, fuzzy method has been used with Artificial Neural Network (ANN) and OFDM transmission is used to get data from outer world and send outputs to outer world accurately and quickly. …”
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  19. 3419

    Research on the evaluation method of cooperative jamming effectiveness based on IPSO-ELM by A. Tianjian Yang, B. Xing Wang, C. Siyi Cheng, D. You Chen, E. Xi Zhang

    Published 2025-01-01
    “…On this basis, the cooperative jamming decision schemes and their corresponding cooperative jamming effectiveness values are solved at different locations in the target space, and the results are detected as outliers using box plots, thus constructing sample data for cooperative jamming effectiveness evaluation. Subsequently, a neural network based on the extreme learning machine methodology is developed, with its initial weights and biases fine-tuned through an improved particle swarm optimization, which is termed IPSO-ELM. …”
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  20. 3420

    Rapid Fluid Velocity Field Prediction in Microfluidic Mixers via Nine Grid Network Model by Qian Li, Yuwei Chen, Taotao Sun, Junchao Wang

    Published 2024-12-01
    “…Using this theory, we developed and trained an artificial neural network (ANN) to predict the fluid dynamics within microfluidic mixers. …”
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