-
361
-
362
A novel approach for multiclass sentiment analysis on Chinese social media with ERNIE-MCBMA
Published 2025-05-01“…Conducting sentiment analysis on Weibo posts using natural language processing techniques is crucial for market research and public opinion observation, holding significant commercial and societal importance. …”
Get full text
Article -
363
Urban Functional Zone Mapping by Integrating Multi-Source Data and Spatial Relationship Characteristics
Published 2024-12-01Get full text
Article -
364
-
365
Dual-Domain deep prior guided sparse-view CT reconstruction with multi-scale fusion attention
Published 2025-05-01Get full text
Article -
366
-
367
-
368
UHVDC Transmission Line Fault Identification Method Based on Generalized Regression Neural Network
Published 2025-04-01Get full text
Article -
369
-
370
Global–Local Multigranularity Transformer for Hyperspectral Image Classification
Published 2025-01-01Get full text
Article -
371
MWFNet: A multi-level wavelet fusion network for hippocampal subfield segmentation
Published 2025-07-01Get full text
Article -
372
Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study
Published 2025-01-01“…We proposed a hybrid deep learning–based neural network approach (Bidirectional Encoder Representations from Transformers [BERT]+convolutional neural network [CNN]+long short-term memory [LSTM]) to classify suicidal and nonsuicidal posts. …”
Get full text
Article -
373
Deep Learning for Hyperspectral Image Classification: A Critical Evaluation via Mutation Testing
Published 2024-12-01Get full text
Article -
374
Comprehensive Eye Diagram Analysis: A Transfer Learning Approach
Published 2019-01-01Get full text
Article -
375
Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection
Published 2025-01-01“…To enhance the feature representation and reduce background noise interference, the Convolutional Block Attention Module (CBAM) is embedded after the feature maps. …”
Get full text
Article -
376
“Locality – Adaptation” Research of Hydropower Resettlement Communities in the Jinsha River Basin: A Case Study of Ludila Hydropower Station
Published 2025-04-01“…At the basin scale, the Patch-level Land Use Simulation Model (PLUS) is employed to analyze land use adaptation changes in the basin during two phases: 2005 –2010 (pre-resettlement period) and 2015 –2020 (post-resettlement period). At the settlement scale, the Mask Region-based Convolutional Neural Network (Mask R-CNN) deep learning model is utilized to identify architectural spatial features, categorizing three typical building types: traditional pitched-roof buildings, uniformly planned flat-roof buildings, and color steel plate-modified structures. …”
Get full text
Article -
377
Fault Prediction of Hydropower Station Based on CNN-LSTM-GAN with Biased Data
Published 2025-07-01Get full text
Article -
378
Modulation Format Identification Method Based on Multi-Feature Input Hybrid Neural Network
Published 2024-01-01Get full text
Article -
379
-
380
Development of Integrated Neural Network Model for Identification of Fake Reviews in E-Commerce Using Multidomain Datasets
Published 2021-01-01“…Nevertheless, it is possible to enhance or hamper specific E-business products by posting fake reviews, which can be written by persons called fraudsters. …”
Get full text
Article