Hybrid Insurance Recommendation Algorithm Integrating Deep Neural Networks and Knowledge Graphs Based on Matrix Factorization
Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUD
CDGAN: Collaborative Diffusion Generative Adversarial Networks for Recommendation Systems
Multi-Scale Multi-Load Federated Forecasting Method with Mode Decomposition
Human Emotion Recognition by Facial Expression Using Modified EfficientNet-B3 Model
Reliability Model of Cloud Computing Job Scheduling Based on Discrete Time Markov Chain
LPN-Based Model Repair Method for Changed Business Processes
CF-YOLO: Towards Highly Effective Small Face Detection in Crowded Scenes
Multi-Perspective Approach for Anomalous Behavior Detection and Repairing
Behaviour Anonymous Method of Business Process Based on Log Skeleton
Bridging the Gap Between Software Re-Engineering and Sustainability: A Holistic Approach to Modern Software Systems
Point of Interest Recommendation Method Based on Spatiotemporal Feature Dependence
Recommendation Model Integrating Semantic Features and Knowledge Features
Scenario-Based Prioritisation of User Stories Grounded in Usage Scenarios
Big Data Information Management and Database Construction Based on Machine Learning Algorithm
Predicting Emerging Phishing Threats Through Lightweight AI Data Mining on the Edge
Federated Graph Learning via Structural Knowledge Sharing for Hybrid Brain-Computer Interface
Deep Learning and Single Photon Emission Computed Tomography with Multi-Class Segmentation Maps for Brain Tumor Classifications
RCLD-UNet: An Asymmetric U-Shaped Encoder-Decoder Based on Recurrent Criss-Cross Attention and Linear Deformable Convolution for Medical Image Segmentation
Manifold-Aware Historical Topology Mapping for Foundation Model-Based Robotic Navigation
Multiobjective Memetic Algorithm for the Markowitz Model Based on Informed Decisions
Enhanced Change Detection in Remote Sensing Using NAViT with UNet
A Novel Combinatorial Optimization Strategy with TOPSIS for Smart Manufacturing
Using Transfer Learning with DenseNet121 and Convolutional Block Attention Module (CBAM) for Enhanced Diabetic Retinopathy Classification
Bridging the Gap: A Systematic Review of UML-Based Modeling for NoSQL Databases
Preface: Edge Intelligence for Pervasive Green Computing and Communications
Distributed Multi-Agent D-Type Iterative Learning Algorithm Research under Communication Interference
A Model for Generating Real Stream Data in Simulated Edge Computing Environments
SyzPrime: Enhancing Linux Kernel Security for Edge Intelligence Applications via Automatic Discovery of Heap Layout Manipulation Primitives
Exploration of ChatGPT Open Large Language Model and Edge Intelligence
CNN-LSTM-Twisted Power Optimization Scheme for LoRaWAN-Based Intelligent Streetlight System
Policy-Hiding Attributed-Based Access Control Scheme for IIoT Device Secure Remote Operation
Acting Like or Thinking Like Human: Doctors and Deep Learning Algorithms Behavioral Comparison
ResCAM-Net: Residual Convolution and Atrous Multi-Scale Network for Robust Medical Image Segmentation
DMS3D: Multi-Modal 3D Object Detection Algorithm Based on Discriminant Fusion Strategy and Multi-Scale Feature Fusion
A Scalable Layer 2 Off-Chain Protocol for Blockchain Using Ethereum Rollups
Development of a Teleoperation System Using Motion Capture Methodologies for Baxter Robot
Lightweight Time-Frequency Neural Network for Non-Invasive Glucose Estimation on Wearable Devices
CHOCOLATE: Congestion Handling on Controllable Oblivious Lightweight Algorithm Through Explicit-Notification
Petri Net-Based Deviation Detection Between Event Logs and Process Models with Milestones