This post provides an overview of the motivation and core ideas of the study. Detailed analyses and experimental results are available in the referenced materials below. Split Federated Learning ...

Contents 1. Introduction to APLS 2. Road Network as a Graph 3. Challenges in Evaluating Road Network Extraction Models 4. APLS – A New Metric for Road Network Evaluation 5. Node Snapping...

Contents 1. Introduction 2. Basic Static Charts 3. Attributes and Styling 4. Hover and Value Display 5. Animation with Transitions 6. Chaining in D3 7. Conclusion 1. Introductio...

Contents 1. Introduction 2. Related Work 3. Method 4. Experiment 5. Result 1. Introduction Radio Frequency Fingerprinting (RFF) is a technique for identifying radio devices based on ...

Table of Contents 1. Introduction 2. What is a Confusion Matrix? 3. Components of the Confusion Matrix 4. Evaluation Metrics Derived from the Confusion Matrix 4.1 Accuracy ...

Contents 1. Introduction 2. RiftNet Architecture 2.1 Two Signal Processing Branches 2.2 Dilated Convolutional Cells (DCC) 2.3 Skip Connections and Feature Aggregation ...

Contents 1. Introduction 2. UNet Architecture 2.1 Downsampling (Contracting) 2.2 Upsampling (Expanding) 2.3 Skip Connections 3. Applications of UNet 4. Pros ...

Contents 1. Introduction 2. YOLOv8 Architecture 2.1 Backbone and Head 2.2 Main Workflow 3. Key Advantages 4. Practical Applications 5. Example Usage of YOLOv8 wi...

Contents 1. Introduction 2. Architecture of Faster R-CNN 2.1 CNN Backbone 2.2 Region Proposal Network (RPN) 2.3 RoI Pooling & Classification 3. Model Workf...

Contents 1. Introduction 2. Proposed framework 3. Algorithm design 4. Experiments 5. References 1. Introduction In this paper, we will explore the FedPAC algorithm, a prominent paper...