Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Multi-Functional RIS-Assisted Semantic Anti-Jamming Communication and Computing in Integrated Aerial-Ground Networks
Generative AI Agents With Large Language Model for Satellite Networks via a Mixture of Experts Transmission
Space-Air-Ground Integrated Wireless Networks for 6G: Basics, Key Technologies, and Future Trends
Cascading Failure in Cyber–Physical Systems: A Review on Failure Modeling and Vulnerability Analysis
Joint Computation Offloading and Resource Allocation in Multi-Edge Smart Communities With Personalized Federated Deep Reinforcement Learning
A Distributed Competitive and Collaborative Coordination for Multirobot Systems
Large Language Models (LLMs) Inference Offloading and Resource Allocation in Cloud-Edge Computing: An Active Inference Approach
GUGEN: Global User Graph Enhanced Network for Next POI Recommendation
A Survey on Self-Supervised Learning: Algorithms, Applications, and Future Trends
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal
Class-Incremental Learning: A Survey
Medical Image Segmentation Review: The Success of U-Net
End-to-End Autonomous Driving: Challenges and Frontiers
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Metric3D v2: A Versatile Monocular Geometric Foundation Model for Zero-Shot Metric Depth and Surface Normal Estimation
A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations
Frequency-Aware Feature Fusion for Dense Image Prediction
A Review of Safe Reinforcement Learning: Methods, Theories, and Applications
Diversity Washing
ABSTRACTWe provide large‐sample evidence on whether U.S. publicly traded corporations use voluntary disclosures about their commitments to employee diversity opportunistically. We document significant discrepancies between companies' external stan...
Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detection
AbstractExplainable artificial intelligence (XAI) has gained much interest in recent years for its ability to explain the complex decision-making process of machine learning (ML) and deep learning (DL) models. The Local Interpretable Model-agnosti...
SaaS Metrics
Academic Publication