Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
DiffBIR: Toward Blind Image Restoration with Generative Diffusion Prior
Bibliometric Insights into the Progression of Electronic Health Records
Artificial Intelligence and the Law: The Complexities of Technology and Legalities
Optimized Neural Network for Prediction of Neurological Disorders
Trends in Cybersecurity: A Comprehensive Bibliometric Review
Supercapacitors: Overcoming current limitations and charting the course for next-generation energy storage
Oxidative stress and inflammation in the pathogenesis of neurological disorders: Mechanisms and implications
Adaptive Robust Trajectory Tracking Controller for a Quadrotor UAV With Uncertain Environment Parameters Based on Backstepping Sliding Mode Method
Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and population survey data
FusionMamba: dynamic feature enhancement for multimodal image fusion with Mamba
AbstractMultimodal image fusion aims to integrate information from different imaging techniques to produce a comprehensive, detail-rich single image for downstream vision tasks. Existing methods based on local convolutional neural networks (CNNs) ...
Spglib: a software library for crystal symmetry search
Solar energy-assisted CCHP cycles for dairy applications in rural sector with effect assessment of reheating on novel CO 2 working fluid
The interplay between gut microbiota, short-chain fatty acids, and implications for host health and disease
Meta-learning Approaches for Few-Shot Learning: A Survey of Recent Advances
Despite its astounding success in learning deeper multi-dimensional data, the performance of deep learning declines on new unseen tasks mainly due to its focus on same-distribution prediction. Moreover, deep learning is notorious for poor generali...
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Machine learning plays a role in many deployed decision systems, often in ways that are difficult or impossible to understand by human stakeholders. Explaining, in a human-understandable way, the relationship between the input and output of machin...
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...
Enhancing mechanical performance of MWCNT filler with jute/kenaf/glass composite: a statistical optimization study using RSM and ANN
Data security and privacy concerns of AI-driven marketing in the context of economics and business field: an exploration into possible solutions
NuFit-6.0: updated global analysis of three-flavor neutrino oscillations
Abstract We present an updated global analysis of neutrino oscillation data as of September 2024. The parameters θ 12, θ 13, $$ \Delta {m}_{21}^2 $$ ...
Flavored E-Cigarette Sales Restrictions and Young Adult Tobacco Use
ImportanceMore than one-quarter of US residents live in states or localities that restrict sales of flavored electronic nicotine delivery systems (ENDS), often as a means to reduce youth vaping. Yet, how these policies affect young adult vaping an...
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