Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
A Comprehensive Review on PIR Sensor-Based Light Automation Systems
AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships
Post-growth: the science of wellbeing within planetary boundaries
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME
eXplainable artificial intelligence (XAI) methods have emerged to convert the black box of machine learning (ML) models into a more digestible form. These methods help to communicate how the model works with the aim of making ML models more transp...
Pollution analysis of metals in the sediments of lagoon lakes in Türkiye: Toxicological risk assessment and source insights
Efficient paired electrolysis of glycerol upgrading with hydrogen fuel over heterostructured Fe-Co2Mo3O8@Co electrocatalyst
Generative AI Based Secure Wireless Sensing for ISAC Networks
Parsimoniously Fitting Large Multivariate Random Effects in glmmTMB
An Online Reinforcement Learning-Based Energy Management Strategy for Microgrids With Centralized Control
Lithium bioleaching: A review on microbial-assisted sustainable technology for lithium bio-circularity
Harmonizing physical and deep learning modeling: A computationally efficient and interpretable approach for property prediction
The AI-authorship effect: Understanding authenticity, moral disgust, and consumer responses to AI-generated marketing communications
Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics
Human-Cyber-Physical System for Industry 5.0: A Review From a Human-Centric Perspective
ADP-Based Prescribed-Time Control for Nonlinear Time-Varying Delay Systems With Uncertain Parameters
Dynamic Event-Driven ADP for N-Player Nonzero-Sum Games of Constrained Nonlinear Systems
When Federated Learning Meets Privacy-Preserving Computation
Nowadays, with the development of artificial intelligence (AI), privacy issues attract wide attention from society and individuals. It is desirable to make the data available but invisible, i.e., to realize data analysis and calculation without di...
Data security and privacy concerns of AI-driven marketing in the context of economics and business field: an exploration into possible solutions
Federated Learning in Smart Healthcare: A Comprehensive Review on Privacy, Security, and Predictive Analytics with IoT Integration
Federated learning (FL) is revolutionizing healthcare by enabling collaborative machine learning across institutions while preserving patient privacy and meeting regulatory standards. This review delves into FL’s applications within smart health s...
Automated real-world data integration improves cancer outcome prediction
Market Trends
Academic Publication