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401
Brittleness evaluation of main coal seams in Permian Taiyuan-Shanxi formations, Baode block, Ordos Basin: based on a convolutional neural network method
Published 2025-01-01Subjects: “…convolutional neural network…”
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402
Perbandingan Arsitektur Convolutional Neural Network Pada Klasifikasi Pneumonia, COVID-19, Lung Opacity, dan Normal Menggunakan Citra Sinar-X Thoraks
Published 2022-12-01“…Several studies have been conducted using a deep learning approach based on Convolutional Neural Networks (CNN) architecture. This study aims to classify the four classes using 21,165 chest X-ray images. …”
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403
Animal Species Identification in Historical Parchments by Continuous Wavelet Transform–Convolutional Neural Network Classifier Applied to Ultraviolet–Visible–Near-Infrared Spectroscopic Data
Published 2024-01-01“…The network architecture chosen was CWT-CNN (continuous wavelet transform–convolutional neural network), which, in this case, is composed of a convolutional autoencoder and a single-layer dense network classifier. …”
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404
Penerapan Algoritma Deep Learning Convolutional Neural Network Dalam Menentukan Kematangan Buah Jeruk Manis Berdasarkan Citra Red Green Blue (RGB)
Published 2023-02-01“…For this reason, an algorithm is needed to determine sweet oranges with a computerized system created using the Convolutional Neural Network (CNN) algorithm, which is one of the deep learning algorithms, which is the development of Multilayer Perceptron (MLP), which is able to process data in two-dimensional form, for example. …”
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405
Convolutional Neural Network Classification using Three Cepstrums Combinations with Time, Time Derivative and Reassigned STFT of Doppler Signatures from Radar Human Locomotion
Published 2024-11-01“…The proposed CTDRCepstrum explores different window functions, transforming each echo signal into three forms of Short-Time Fourier Transform reassignments (RSTFT): time RSTFT (TSTFT), time derivative RSTFT (TDSTFT), and reassigned STFT (RSTFT). A convolutional neural network (CNN) model was then trained using the feature vector, which is generated by combining the cepstral analysis results of each RSTFT form. …”
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406
A novel graph convolution and frequency domain filtering approach for hyperspectral anomaly detection
Published 2025-01-01Subjects: Get full text
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407
MD-Unet for tobacco leaf disease spot segmentation based on multi-scale residual dilated convolutions
Published 2025-01-01Subjects: Get full text
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408
A Network Traffic Prediction Model Based on Layered Training Graph Convolutional Network
Published 2025-01-01“…Routing deployment and resource scheduling in communication networks require accurate traffic prediction. Neural network-based models that extract the time-correlated or space-correlated features of traffic flow have been developed for traffic prediction. …”
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409
Multi-Scale Channel Distillation Network for Image Compressive Sensing
Published 2025-01-01Subjects: “…Convolutional neural networks…”
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410
Deep BiLSTM Attention Model for Spatial and Temporal Anomaly Detection in Video Surveillance
Published 2025-01-01Subjects: “…convolutional neural network…”
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411
Graph-Based Feature Crossing to Enhance Recommender Systems
Published 2025-01-01Subjects: Get full text
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412
Addressing Distribution Discrepancies in Pulsar Candidate Identification via Bayesian-neural-network-based Multimodal Incremental Learning
Published 2025-01-01Subjects: Get full text
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413
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415
Convolutional neural networks for accurate real-time diagnosis of oral epithelial dysplasia and oral squamous cell carcinoma using high-resolution in vivo confocal microscopy
Published 2025-01-01“…To analyse the 9168 images frames obtained, three tandem applied pre-trained Inception-V3 convolutional neural network (CNN) models were developed using transfer learning in the PyTorch framework. …”
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416
State of charge estimation of lithium-ion battery based on state of temperature estimation using weight clustered-convolutional neural network-long short-term memory
Published 2025-02-01“…And weight clustered-convolutional neural network-long short-term memory (WC-CNN-LSTM) is proposed to achieve high accuracy SOT and SOC estimation with small model sizes. …”
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417
Cloud Computing Resource Scheduling Algorithm Based on Unsampled Collaborative Knowledge Graph Network
Published 2024-01-01Subjects: Get full text
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418
A cutting-edge neural network approach for predicting the thermoelectric efficiency of defective gamma-graphyne nanoribbons
Published 2025-01-01Subjects: Get full text
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419
Deep learning-assisted arrhythmia classification using 2-D ECG spectrograms
Published 2024-12-01Subjects: Get full text
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420
Integrating fast iterative filtering and ensemble neural network structure with attention mechanism for carbon price forecasting
Published 2024-11-01Subjects: Get full text
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