Triboelectric nanogenerators for vehicle intelligent cockpits
Converting mechanical stimuli from drivers and vehicle motion into electrical signals, triboelectric nanogenerators provide promising interfaces toward passive, flexible, distributed and intelligent sensing for next‐generation automotive cockpits to support three core functional dimensions: driver state monitoring, vehicle state monitoring, and human ...
Haiqiu Tan +9 more
wiley +1 more source
Forecasting motion trajectories of elbow and knee joints during infant crawling based on long-short-term memory (LSTM) networks. [PDF]
Mo J +6 more
europepmc +1 more source
Biosensors enable rapid, sensitive, and portable detection of pathogens, contaminants, allergens, and food adulteration. Integration with smart packaging, smartphones, IoT, and machine learning supports real‐time monitoring and intelligent decision‐making, whereas microfluidics, biodegradable materials, explainable AI, and blockchain offer pathways ...
Mohima Akther Any +7 more
wiley +1 more source
Evaluation of a long short-term memory (LSTM)-based algorithm for predicting central frequency and synergy activation ratio using markerless motion analysis data. [PDF]
Choi JW +5 more
europepmc +1 more source
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob +4 more
wiley +1 more source
Citrus essential oils combine sustainable extraction, AI‐assisted authentication, multi‐omics profiling, antimicrobial activity, and regulatory safety to enhance food quality, detect adulteration, and promote consumer health, and support intelligent, sustainable food systems through innovative industrial applications and circular bioeconomy strategies.
Md. Hassan Bin Nabi +7 more
wiley +1 more source
Hierarchical Spatial-Spectral Feature Extraction with Long Short Term Memory (LSTM) for Mineral Identification Using Hyperspectral Imagery. [PDF]
Zhao H, Deng K, Li N, Wang Z, Wei W.
europepmc +1 more source
State‐Dependent Market (In)Efficiency in Cryptocurrency Markets
ABSTRACT This paper develops a meta‐learning framework to test whether cryptocurrency market inefficiency is static or state‐dependent. To resolve competing claims between the Efficient and Adaptive Market Hypotheses (AMH), we construct an adaptive trading strategy using high‐frequency data for 50 major cryptocurrencies.
Sasan Barak +2 more
wiley +1 more source
Research on Leak Detection and Localization Algorithm for Oil and Gas Pipelines Using Wavelet Denoising Integrated with Long Short-Term Memory (LSTM)-Transformer Models. [PDF]
Ma Y +6 more
europepmc +1 more source

