Showing 2,401 - 2,420 results of 5,074 for search 'features network (evolution OR evaluation)', query time: 0.22s Refine Results
  1. 2401

    A Heterogeneous Image Registration Model for an Apple Orchard by Dongfu Huang, Liqun Liu

    Published 2025-04-01
    “…To address these issues, this study proposes an AD-ResSug model for heterogeneous image registration. First, a VGG16 network was included as the encoder in the feature point encoder system, and the positional encoding was embedded into the network. …”
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  2. 2402

    MTGNet: Multi-Agent End-to-End Motion Trajectory Prediction with Multimodal Panoramic Dynamic Graph by Yinfei Dai, Yuantong Zhang, Xiuzhen Zhou, Qi Wang, Xiao Song, Shaoqiang Wang

    Published 2025-05-01
    “…In addition, we utilize the graph convolutional neural network (GCN) to process graph-structured data. This approach not only captures global relationships but also enhances the focus on local features within the scene, thereby improving the model’s sensitivity to local information. …”
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  3. 2403

    A Hybrid GAS-ATT-LSTM Architecture for Predicting Non-Stationary Financial Time Series by Kevin Astudillo, Miguel Flores, Mateo Soliz, Guillermo Ferreira, José Varela-Aldás

    Published 2025-07-01
    “…This study proposes a hybrid approach to analyze and forecast non-stationary financial time series by combining statistical models with deep neural networks. A model is introduced that integrates three key components: the Generalized Autoregressive Score (GAS) model, which captures volatility dynamics; an attention mechanism (ATT), which identifies the most relevant features within the sequence; and a Long Short-Term Memory (LSTM) neural network, which receives the outputs of the previous modules to generate price forecasts. …”
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  4. 2404

    Interpretable Machine Learning for High-Accuracy Reservoir Temperature Prediction in Geothermal Energy Systems by Mohammadali Ahmadi

    Published 2025-06-01
    “…This study conducts a comprehensive comparative analysis of advanced machine learning models, including support vector regression (SVR), random forest (RF), Gaussian process regression (GP), deep neural networks (DNN), and graph neural networks (GNN), to evaluate their predictive performance for reservoir temperature estimation. …”
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  5. 2405
  6. 2406

    Protecting Industrial Control Systems From Shodan Exploitation Through Advanced Traffic Analysis by Sayed Reza Ghazinour Naeini, Alireza Shameli-Sendi, Masoume Jabbarifar

    Published 2025-01-01
    “…This research introduces protocol analysis as a novel feature in network traffic analysis, significantly improving detection accuracy over models that rely solely on traditional network features. …”
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  7. 2407

    Wear Characterization and Coefficient of Friction Prediction Using a Convolutional Neural Network Model for Chromium-Coated SnSb11Cu6 Alloy by Mihail Kolev, Vladimir Petkov, Veselin Petkov, Rositza Dimitrova, Shaban Uzun, Boyko Krastev

    Published 2025-04-01
    “…Feature importance analysis identified coating hardness as the most critical factor influencing COF and wear resistance, followed by matrix hardness near the coating. …”
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  8. 2408

    Comparative the efficacy and safety of Gosuranemab, Semorinemab, Tilavonemab, and Zagotenemab in patients with Alzheimer’s disease: a systematic review and network meta-analysis of... by Wenting Cai, Wenting Cai, Hui Zhang, Hui Zhang, Yan Wu, Yan Wu, Yao Yao, Jinping Zhang

    Published 2025-01-01
    “…The purpose of data processing, including generating network evidence plots, surface under the cumulative ranking curve (SUCRA) ranking, league plots, and funnel plots, is to visually summarize and evaluate the relative effectiveness and safety and potential publication bias of multiple interventions. …”
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  9. 2409

    Automatic identification of tokamak plasma confinement states (L-mode, ELM-free H-mode, and ELMy H-mode) with multi-task learning neural network by Guo-Hong Deng, Peng-Cheng Xie, You-Wen Sun, Hui-Hui Wang, Jian Xu, Qun Ma, Shuai Gu, Hui Sheng, Hua Yang, Gao-Ting Chen

    Published 2025-01-01
    “…D _α and Mirnov coil measurements are selected as features for detecting the ELM. Parameters from scaling laws, which are related to thermal energy confinement time and heating threshold of L–H transition, are selected as features for identifying the operational modes. …”
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  10. 2410

    DenseNet-FPA: Integrating DenseNet and Flower Pollination Algorithm for Breast Cancer Histopathology Image Classification by Musa Adamu Wakili, Harisu Abdullahi Shehu, Mahdi Abdollahi, Badamasi Imam Ya'u, Md Haidar Sharif, Huseyin Kusetogullari

    Published 2025-01-01
    “…To address this, we propose DenseNet-FPA, a novel method that combines Dense Convolutional Networks (DenseNet) with the Flower Pollination Algorithm (FPA) to enhance feature selection and classification in breast cancer histopathology images. …”
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  11. 2411

    Dynamic Patch-Based Sample Generation for Pulmonary Nodule Segmentation in Low-Dose CT Scans Using 3D Residual Networks for Lung Cancer Screening by Ioannis D. Marinakis, Konstantinos Karampidis, Giorgos Papadourakis, Mostefa Kara

    Published 2025-03-01
    “…HighRes3DNet is a specialized 3D convolutional neural network (CNN) architecture based on ResNet principles which uses residual connections to efficiently learn complex spatial features from 3D volumetric data. …”
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  12. 2412
  13. 2413

    FL-DBENet: Double-branch encoder network based on segment anything model for farmland segmentation of large very-high-resolution optical remote sensing images by W. Feng, F. Guan, C. Sun, W. Xu, W. Xu

    Published 2025-07-01
    “…This paper introduces FL-DBENet, a farmland extraction network that builds on SAM’s strengths. FL-DBENet features a general-specialized double-branch encoder network: the general branch leverages SAM’s robust edge detection to capture precise farmland boundaries, while the specialized branch incorporates the lightweight SegFormer encoder to provide SAM with targeted prompts on farmland features. …”
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  14. 2414

    The integration of a new waste-to-energy plant: Waste flows modelling and pricing strategies for financial sustainability by Lucie Němcová, Jaroslav Pluskal, Radovan Šomplák

    Published 2025-04-01
    “…This article presents a novel modelling tool designed to estimate key parameters crucial for economic assessments of the construction of a new facility, using a limited set of publicly available data. The main feature of the approach is the modelling of the current collection areas within the existing network and the identification of the potential waste suitable for redirection to a new facility. …”
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  15. 2415

    A Swarm-Based Multi-Objective Framework for Lightweight and Real-Time IoT Intrusion Detection by Hessah A. Alsalamah, Walaa N. Ismail

    Published 2025-08-01
    “…However, the high dimensionality, class imbalance, and complexity of network traffic—combined with the dynamic nature of sensor networks—pose substantial challenges to the development of efficient and effective detection algorithms. …”
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  16. 2416
  17. 2417

    Predictive modelling employing machine learning, convolutional neural networks (CNNs), and smartphone RGB images for non-destructive biomass estimation of pearl millet (Pennisetum... by Faten Dhawi, Abdul Ghafoor, Norah Almousa, Sakinah Ali, Sara Alqanbar

    Published 2025-05-01
    “…Smartphone-based RGB imaging was used for data collection, and Shapley additive explanations (SHAP) methodology evaluated predictor importance. The SHAP analysis identified Normalized Green-Red Difference Index (NGRDI) and plant height as the most influential features for AGB estimation. …”
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  18. 2418
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  20. 2420

    A cosine similarity-based method for improving the accuracy of GIS discharge spectrum recognition by CHEN Xiaoxin, ZHOU Tonghao, LIU Jiangming, DAI Pengfei, LIU Yanqi, LI Wendong, ZHANG Guanjun

    Published 2025-02-01
    “…By analyzing the spectra of various discharge types, phase features are summarized, and the features of each discharge type are compared with the spectrum of the discharge under evaluation. …”
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