Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Is AI-based digital marketing ethical? Assessing a new data privacy paradox
Household food security in the United States in 2023
This report provides statistics on food security in U.S. households throughout 2023 based on the Current Population Survey Food Security Supplement data collected by the U.S. Department of Commerce, Bureau of the Census, in December 2023. An esti...
Materials Advances in Photocatalytic Solar Hydrogen Production: Integrating Systems and Economics for a Sustainable Future
AbstractPhotocatalytic solar hydrogen generation, encompassing both overall water splitting and organic reforming, presents a promising avenue for green hydrogen production. This technology holds the potential for reduced capital costs in comparis...
Plant starch extraction, modification, and green applications: a review
AbstractFossil fuel-based products should be replaced by products derived from modern biomass such as plant starch, in the context of the future circular economy. Starch production globally surpasses 50 million tons annually, predominantly sourced...
Progress, challenges and trends on vision sensing technologies in automatic/intelligent robotic welding: State-of-the-art review
Forecasts of thermal coal prices through Gaussian process regressions
Given thermal coal's significance as a tactical energy source, price projections for the commodity are crucial for investors and decision-makers alike. The goal of the current work is to determine whether Gaussian process regressions are useful fo...
Contrastive Learning Based Modality-Invariant Feature Acquisition for Robust Multimodal Emotion Recognition With Missing Modalities
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
DriveGPT4: Interpretable End-to-End Autonomous Driving Via Large Language Model
Efficient adsorption of fluorescein dye from aqueous solutions by Al/Th-MOF bimetal-organic frameworks: Adsorption isotherm, kinetics, DFT computation, and optimization via Box-Behnken design
Improved informer PV power short-term prediction model based on weather typing and AHA-VMD-MPE
Natural product pharmacology: the British Journal of Pharmacology perspective
Natural products (NPs) have long been used as a rich source of bioactive compounds for drug development. Recent technological advancements have revitalised natural products research as evidenced by increased publications in this field. In this edi...
Optimized Adaptive Finite-Time Consensus Control for Stochastic Nonlinear Multiagent Systems With Non-Affine Nonlinear Faults
Innovations in Tactile Sensing: Microstructural Designs for Superior Flexible Sensor Performance
AbstractTactile sensors have garnered considerable interest for their capacity to detect and quantify tactile information. The incorporation of microstructural designs into flexible tactile sensors has emerged as a potent strategy to augment their...
The Elaborate Design of Multi‐Polarization Effect by Non‐Edge Defect Strategy for Ultra‐Broad Microwave Absorption
AbstractAnion defect engineering is proven to be an efficient approach to reconstruct the electronic configuration of carbon‐based magnetoelectric materials for targeted modulation of electromagnetic (EM) performance. However, traditional mono‐ani...
Industrial metaverse towards Industry 5.0: Connotation, architecture, enablers, and challenges
An Improved Predefined-Time Adaptive Neural Control Approach for Nonlinear Multiagent Systems
Artificial intelligence in education: A systematic literature review
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers
A foundation model for clinical-grade computational pathology and rare cancers detection
AbstractThe analysis of histopathology images with artificial intelligence aims to enable clinical decision support systems and precision medicine. The success of such applications depends on the ability to model the diverse patterns observed in p...
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