Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
High-speed spectrum demodulation of fiber-optic Fabry–Perot sensor based on scanning laser
Federated learning for medical image analysis: A survey
Multi-timescale optimization of integrated energy system with diversified utilization of hydrogen energy under the coupling of green certificate and carbon trading
Circular economy innovation: A deep investigation on 3D printing of industrial waste polypropylene and carbon fibre composites
Potential environmental impacts of floating solar photovoltaic systems
Performance, emissions and economic analyses of hydrogen fuel cell vehicles
Greenhouse gases emissions and global climate change: Examining the influence of CO2, CH4, and N2O
A hybrid suitability mapping model integrating GIS, machine learning, and multi-criteria decision analytics for optimizing service quality of electric vehicle charging stations
Soft robotic grippers: A review on technologies, materials, and applications
A comprehensive Review of Floating Photovoltaic Systems: Tech Advances, Marine Environmental Influences on Offshore PV Systems, and Economic Feasibility Analysis
Astrocyte morphology
Beta: bursts of cognition
Plant organellar genomes: much done, much more to do
Gastric cancer immunosuppressive microenvironment heterogeneity: implications for therapy development
Epidemiology and management of gestational diabetes
Lowering systolic blood pressure to less than 120 mm Hg versus less than 140 mm Hg in patients with high cardiovascular risk with and without diabetes or previous stroke: an open-label, blinded-outcome, randomised trial
Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study
Global, regional, and national age-specific progress towards the 2020 milestones of the WHO End TB Strategy: a systematic analysis for the Global Burden of Disease Study 2021
Temporal trends in the prevalence of Parkinson's disease from 1980 to 2023: a systematic review and meta-analysis
How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences
AbstractInterpretable Machine Learning (IML) has rapidly advanced in recent years, offering new opportunities to improve our understanding of the complex Earth system. IML goes beyond conventional machine learning by not only making predictions bu...
SaaS Metrics
Academic Publication