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Found 15 papers, 3 papers with code
E-commerce Webpage Recommendation Scheme Base on Semantic Mining and Neural Networks
To address this problem, this paper proposes an e-commerce web page recommendation solution that combines semantic web mining and BP neural networks.
Enhancing Skin Lesion Diagnosis with Ensemble Learning
To further enhance classification accuracy, we developed ensemble models employing max voting, average voting, and stacking, resulting in accuracies of 0. 803, 0. 82, and 0. 83.
Deep Learning for Lung Disease Classification Using Transfer Learning and a Customized CNN Architecture with Attention
Eventually, our own model, MobileNet-Lung based on MobileNetV2, with fine-tuning and an additional layer of attention within feature layers, was invented to tackle the lung disease classification task and achieved an accuracy of 0. 933.
Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion
Temporal knowledge graph completion aims to infer the missing facts in temporal knowledge graphs.
Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images
Brain tumors are among the deadliest diseases in the world.
Enhanced Self-Checkout System for Retail Based on Improved YOLOv10
With the rapid advancement of deep learning technologies, computer vision has shown immense potential in retail automation.
Application of Computer Deep Learning Model in Diagnosis of Pulmonary Nodules
A computer aided pulmonary nodule detection model was constructed.
BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction
To tackle this issue, we further propose a Broadview Soft Prompting (BvSP) method that aggregates multiple templates with a broader view by taking into account the correlation between the different templates.
Application of Multimodal Fusion Deep Learning Model in Disease Recognition
This paper introduces an innovative multi-modal fusion deep learning approach to overcome the drawbacks of traditional single-modal recognition techniques.
Semantic Synchronization for Enhanced Reliability in Communication Systems
As a new communication paradigm, semantic communication has received widespread attention in communication fields.
Interpretable System Identification and Long-term Prediction on Time-Series Data
Time-series prediction has drawn considerable attention during the past decades fueled by the emerging advances of deep learning methods.
High speed free-space optical communication using standard fiber communication component without optical amplification
Free-space optical communication (FSO) can achieve fast, secure and license-free communication without need for physical cables, making it a cost-effective, energy-efficient and flexible solution when the fiber connection is unavailable.
NxtPost: User to Post Recommendations in Facebook Groups
In this paper, we present NxtPost, a deployed user-to-post content-based sequential recommender system for Facebook Groups.
Data Extraction from Charts via Single Deep Neural Network
Automatic data extraction from charts is challenging for two reasons: there exist many relations among objects in a chart, which is not a common consideration in general computer vision problems; and different types of charts may not be processed by the same model.
Structured Triplet Learning with POS-tag Guided Attention for Visual Question Answering
Visual question answering (VQA) is of significant interest due to its potential to be a strong test of image understanding systems and to probe the connection between language and vision.
