Suggested Topics within your search.
Suggested Topics within your search.
-
101
-
102
-
103
-
104
Rumor Identification with Maximum Entropy in MicroNet
Published 2017-01-01“…The widely used applications of Microblog, WeChat, and other social networking platforms (that we call MicroNet) shorten the period of information dissemination and expand the range of information dissemination, which allows rumors to cause greater harm and have more influence. …”
Get full text
Article -
105
LIU-NET: lightweight Inception U-Net for efficient brain tumor segmentation from multimodal 3D MRI images
Published 2025-03-01“…To overcome these challenges, this research presents a novel and computationally efficient method termed lightweight Inception U-Net (LIU-Net) for the accurate brain tumor segmentation task. …”
Get full text
Article -
106
-
107
Scene Consistency Verification Based on PatchNet
Published 2014-01-01“…We construct a consistent scene database, using semantic information of PatchNet to determine whether the scene is consistent. …”
Get full text
Article -
108
-
109
Optimizing data-driven arctic marine forecasting: a comparative analysis of MariNet, FourCastNet, and PhyDNet
Published 2024-11-01“…Therefore, data-driven approaches, which are less computationally intensive, may present a more effective solution for predicting sea conditions.MethodsThis study introduces a detailed analysis and comparison of three data-driven models: the newly developed convLSTM-based MariNet, FourCastNet, and PhydNet, a physics-informed model designed for video prediction. …”
Get full text
Article -
110
Hybrid Channel Attention Regression U-Net (ARU-Net): An Enhanced Architecture for Brain Tumour Segmentation in Magnetic Resonance Imaging
Published 2025-01-01“…To tackle this problem, a recent work proposed a new brain tumour segmentation technique on MRI, known as the Hybrid Attention Regression U-Net (ARU-Net) architecture. To enhance the effectiveness of segmentation, the proposed architecture utilises modern approaches including attention mechanisms, feature fusion processes, and regression-based output layer. …”
Get full text
Article -
111
-
112
-
113
Comparative Analysis of AlexNet, ResNet-50, and VGG-19 Performance for Automated Feature Recognition in Pedestrian Crash Diagrams
Published 2025-03-01“…This study evaluates the effectiveness of three Convolutional Neural Network (CNN) architectures—VGG-19, AlexNet, and ResNet-50—in classifying multiple hidden features in pedestrian crash diagrams. …”
Get full text
Article -
114
-
115
Prediction of biochemical prostate cancer recurrence from any Gleason score using robust tissue structure and clinically available information
Published 2025-02-01“…Abstract Biopsy information and protein Prostate-Specific Antigen (PSA) levels are the most robust information available to oncologists worldwide to diagnose and decide therapies for prostate cancer patients. …”
Get full text
Article -
116
Information and knowledge: an evolutionary framework for information science
Published 2005-01-01Get full text
Article -
117
Qualitative and Quantitative Evaluation of Stochastic Time Petri Nets
Published 2015-10-01Get full text
Article -
118
Yo3RL-Net:A fusion of two-phase end-to-end deep net framework for hand detection and gesture recognition
Published 2025-05-01Get full text
Article -
119
AGU2-Net: Multi-Scale U<sup>2</sup>-Net Enhanced by Attention Gate Mechanism for Image Tampering Localization
Published 2025-01-01“…To address this limitation, we propose AGU2-Net, a novel network architecture that integrates an advanced attention mechanism with multi-scale feature extraction. …”
Get full text
Article -
120
MLAR-Net: A Multilevel Attention-Based ResNet Module for the Automated Recognition of Emotions Using Single-Channel EEG Signals
Published 2025-01-01“…This data is then processed through our proposed MLAR-Net, which integrates a multilevel attention module with ResNet18 architecture. …”
Get full text
Article