Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Addressing the antibody germline bias and its effect on language models for improved antibody design
Abstract Motivation The versatile binding properties of antibodies have made them an extremely important class of biotherapeutics. However, therapeutic antibody development is a complex, e...
A Comprehensive 2022 Look at the Empirical Performance of Equity Premium Prediction
Abstract Our paper reexamines whether 29 variables from 26 papers published after Goyal and Welch 2008, as well as the original 17 variables, were useful in predicting the equity premium in-sample and out-of-sample as of the end of ...
A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends
Decentralized Federated Learning: A Survey and Perspective
A Survey of Recent Advances in Optimization Methods for Wireless Communications
Interactive AI With Retrieval-Augmented Generation for Next Generation Networking
Command Filter-Based Predefined Time Adaptive Control for Nonlinear Systems
Collisions-Free Distributed Cooperative Output Regulation of Nonlinear Multiagent Systems
A Resource-Aware Multi-Graph Neural Network for Urban Traffic Flow Prediction in Multi-Access Edge Computing Systems
Stacked Intelligent Metasurfaces for Holographic MIMO-Aided Cell-Free Networks
PrivacyAsst: Safeguarding User Privacy in Tool-Using Large Language Model Agents
Adaptive Disturbance Observer-Based Fixed-Time Tracking Control for Uncertain Robotic Systems
WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces
Profit Maximization of Independent Task Offloading in MEC-Enabled 5G Internet of Vehicles
Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook
PromptCast: A New Prompt-Based Learning Paradigm for Time Series Forecasting
Recommender Systems in the Era of Large Language Models (LLMs)
The Capacity and Robustness Trade-Off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting
Challenges and Opportunities in Deep Reinforcement Learning With Graph Neural Networks: A Comprehensive Review of Algorithms and Applications
Differentiable Integrated Motion Prediction and Planning With Learnable Cost Function for Autonomous Driving
SaaS Metrics
Academic Publication