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241
Probabilistic regression for autonomous terrain relative navigation via multi-modal feature learning
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242
A Unified Approach to Voice Classification: Leveraging Spectrograms, Mel Spectrograms, and Statistical Features
Published 2025-01-01“…This study presents a multi-input neural network architecture for voice classification that integrates two parallel convolutional neural networks (CNNs) for spectrogram and Mel spectrogram images, along with a fully connected dense network for six handpicked numerical statistical features from time domain signal. …”
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243
Integrating spatiotemperporal features into fault prediction using a multi-dimensional method
Published 2025-09-01“…The short-time Fourier transform is used to convert spatiotemporal data into the frequency domain for classification, and high-order features are extracted through convolutional networks. …”
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244
Swin Transformer With Late-Fusion Feature Aggregation for Multi-Modal Vehicle Reidentification
Published 2025-01-01“…In this paper, we proposed a Swin Transformer classifier with late-fusion feature aggregation networks called SAFA (Self-Attention Feature Aggregation) for multi-modal vehicle reidentification problems. …”
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245
Image-Based Malicious Network Traffic Detection Framework: Data-Centric Approach
Published 2025-06-01“…We implemented a malicious network traffic detection framework based on Convolutional Neural Network (CNN) with our feature engineering techniques. …”
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246
Intelligent Trust Evaluation Method for Underwater Sensor Networks Based on Fuzzy Clustering and Dynamic Weight Allocation
Published 2025-04-01“…Trust models can effectively defend against insider attacks and ensure network reliability. However, most existing trust evaluation methods rely on the linear weighting of trust features and the decision-making method based on threshold comparison. …”
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A Mental Workload Evaluation Model Based on Improved Multibranch LSTM Network with Attention Mechanism
Published 2022-01-01“…As a result, based on the long short-term memory network, this paper proposes a mental workload evaluation model of multibranch LSTM with attention mechanism (LSTM). …”
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249
The Application of Artificial Neural Networks and Logistic Regression in the Evaluation of Risk for Dry Eye after Vitrectomy
Published 2020-01-01“…LR and artificial neural network (ANN) models were trained and subsequently used to predict the occurrence of DED in patients who underwent vitrectomy for the first time during the period. …”
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250
A Multi-Stage Progressive Pansharpening Network Based on Detail Injection with Redundancy Reduction
Published 2024-09-01“…Particular spectral feature and spatial detail extraction modules are used at each stage. …”
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251
Multi-branch feature learning based speech emotion recognition using SCAR-NET
Published 2023-12-01“…The performance of deep learning-based SER methods relies heavily on feature learning. In this paper, we propose SCAR-NET, an improved convolutional neural network, to extract emotional features from speech signals and implement classification. …”
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252
Fusion feature-based hybrid methods for diagnosing oral squamous cell carcinoma in histopathological images
Published 2025-04-01“…ObjectiveThis study is experimental in nature and assesses the effectiveness of the Cross-Attention Vision Transformer (CrossViT) in the early detection of Oral Squamous Cell Carcinoma (OSCC) and proposes a hybrid model that combines CrossViT features with manually extracted features to improve the accuracy and robustness of OSCC diagnosis.MethodsWe employed the CrossViT architecture, which utilizes a dual attention mechanism to process multi-scale features, in combination with Convolutional Neural Networks (CNN) technology for the effective analysis of image patches. …”
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253
Intelligent intrusion detection system based on crowd search optimization for attack classification in network security
Published 2025-07-01“…In this study, the various performance matrix parameters have been evaluated in terms of all classifiers along with the proposed model. …”
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254
CSCA-YOLOv8: A lightweight network model for evaluating drought resistance in mung bean.
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255
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COMPARATIVE ANALYSIS OF NON-COOPERATIVE SPECTRUM SENSING TECHNIQUES IN COGNITIVE RADIO NETWORK
Published 2024-03-01Get full text
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257
Similarity and wavelet transform based data partitioning and parameter learning for fuzzy neural network
Published 2022-06-01“…To solve this issue in this proposed system Bat optimization based feature selection is proposed for optimal selection of features from the available dataset. …”
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PCCNN: A CNN classification model integrating EEG time-frequency features for stroke classification
Published 2025-01-01“…Each DWT and EMD feature is processed by an independent one-dimensional convolutional neural networks (1D-CNN) branch for targeted extraction. …”
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