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2401
A Heterogeneous Image Registration Model for an Apple Orchard
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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2402
MTGNet: Multi-Agent End-to-End Motion Trajectory Prediction with Multimodal Panoramic Dynamic Graph
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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2403
A Hybrid GAS-ATT-LSTM Architecture for Predicting Non-Stationary Financial Time Series
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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2404
Interpretable Machine Learning for High-Accuracy Reservoir Temperature Prediction in Geothermal Energy Systems
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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2405
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2406
Protecting Industrial Control Systems From Shodan Exploitation Through Advanced Traffic Analysis
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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2407
Wear Characterization and Coefficient of Friction Prediction Using a Convolutional Neural Network Model for Chromium-Coated SnSb11Cu6 Alloy
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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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...
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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2409
Automatic identification of tokamak plasma confinement states (L-mode, ELM-free H-mode, and ELMy H-mode) with multi-task learning neural network
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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2410
DenseNet-FPA: Integrating DenseNet and Flower Pollination Algorithm for Breast Cancer Histopathology Image Classification
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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2411
Dynamic Patch-Based Sample Generation for Pulmonary Nodule Segmentation in Low-Dose CT Scans Using 3D Residual Networks for Lung Cancer Screening
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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2412
Spatial mapping of the localized corrosion behavior of a magnesium alloy AZ31B tungsten inert gas weld
Published 2025-01-01“…The IMPs and Al-Zn solidification network act as strong cathodes and govern the corrosion processes. …”
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2413
FL-DBENet: Double-branch encoder network based on segment anything model for farmland segmentation of large very-high-resolution optical remote sensing images
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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2414
The integration of a new waste-to-energy plant: Waste flows modelling and pricing strategies for financial sustainability
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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2415
A Swarm-Based Multi-Objective Framework for Lightweight and Real-Time IoT Intrusion Detection
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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2417
Predictive modelling employing machine learning, convolutional neural networks (CNNs), and smartphone RGB images for non-destructive biomass estimation of pearl millet (Pennisetum...
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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2418
Evaluation of classification algorithms in the Google Earth Engine platform for the identification and change detection of rural and periurban buildings from very high-resolution i...
Published 2021-07-01“…Additionally, a deep neural network named Feature Pyramid Networks (FPN) was added and trained using a pre-trained model, EfficientNetB3 model. …”
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2419
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2420
A cosine similarity-based method for improving the accuracy of GIS discharge spectrum recognition
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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