Results 231 to 240 of about 143,911 (316)
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
Predicting physical activity energy expenditure, types, and intensity using long short-term memory networks in aged 6-18 cross-stage populations. [PDF]
Jiang L +9 more
europepmc +1 more source
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi +3 more
wiley +1 more source
Toward robust AI-based ECG R-peak detection for real-time physiological monitoring in operational environments. [PDF]
Boström M +5 more
europepmc +1 more source
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent difficulties in social communication, social interaction, and repetitive behaviors. Early diagnosis is often hindered by subjective clinical assessments and limited data availability.
Sahar Alkhaibari, Feng Dong
wiley +1 more source
A Novel CNN-LSTM Algorithm for Strain Time Series Prediction of Orthotropic Steel Bridge Decks. [PDF]
Zhang H, Meng M, Zhao L.
europepmc +1 more source
How Does AI Empower Corporate ESG Practices? Mechanisms Based on Information Processing Theory
ABSTRACT In the context of the latest technological revolution and industrial transformation, Artificial Intelligence (AI) provides new impetus for the development of corporate ESG practices. This study, based on data from 2630 A‐share listed companies in China from 2010 to 2022, examines the impact of AI on corporate ESG performance and its mechanisms
Qin Zhu, Shanshan Jiang, Anna Min Du
wiley +1 more source
Research on LSTM-based spatial target trajectory forecasting enhanced by attention mechanisms. [PDF]
Luo Q, Ji J, Yang T, Xu Y, Yao Y.
europepmc +1 more source
Abstract Background High maternal mortality rates in sub‐Saharan Africa necessitate the need for aligned research focusing on prevalent causes and neglected conditions in the region. Objective This mapping review aimed to describe the characteristics of longitudinal maternal health studies between 2012 and 2022 in sub‐Saharan Africa and identify gaps ...
Ijeoma Solarin +7 more
wiley +1 more source
Privacy-preserving intrusion detection in IoT smart homes using a federated hybrid 1D-CNN-LSTM model with explainable AI. [PDF]
Abdelhady G, Hussein KW, Gad IAA.
europepmc +1 more source

