Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends
Thermal management strategies for lithium-ion batteries in electric vehicles: Fundamentals, recent advances, thermal models, and cooling techniques
Is US trade policy reshaping global supply chains?
Polar lights optimizer: Algorithm and applications in image segmentation and feature selection
Emerging insights into the pathogenesis and therapeutic strategies for vascular endothelial injury-associated diseases: focus on mitochondrial dysfunction
AbstractAs a vital component of blood vessels, endothelial cells play a key role in maintaining overall physiological function by residing between circulating blood and semi-solid tissue. Various stress stimuli can induce endothelial injury, leadi...
A review on recent advances on improving fuel economy and performance of a fuel cell hybrid electric vehicle
Interactive AI With Retrieval-Augmented Generation for Next Generation Networking
Smallholder farmers’ challenges and opportunities: Implications for agricultural production, environment and food security
Metal-organic frameworks (MOFs) and MOF composites based biosensors
YOLO-FaceV2: A scale and occlusion aware face detector
Aggregator-Network Coordinated Peer-to-Peer Multi-Energy Trading via Adaptive Robust Stochastic Optimization
A Resource-Aware Multi-Graph Neural Network for Urban Traffic Flow Prediction in Multi-Access Edge Computing Systems
Scanning accuracy and scanning area discrepancies of intraoral digital scans acquired at varying scanning distances and angulations among 4 different intraoral scanners
SBSM-Pro: support bio-sequence machine for proteins
Study on the influence of high rate charge and discharge on thermal runaway behavior of lithium-ion battery
Practical guide to SHAP analysis: Explaining supervised machine learning model predictions in drug development
AbstractDespite increasing interest in using Artificial Intelligence (AI) and Machine Learning (ML) models for drug development, effectively interpreting their predictions remains a challenge, which limits their impact on clinical decisions. We ad...
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
Recommender Systems in the Era of Large Language Models (LLMs)
Predictions of steel price indices through machine learning for the regional northeast Chinese market
SaaS Metrics
Academic Publication