Enhancing clinical training evaluation: leveraging artificial intelligence algorithms for effective online practicum assessment. [PDF]
Zhu Y, Zhou CM.
europepmc +1 more source
ABSTRACT Chromatin interactions establish spatial proximity between distant regulatory elements and their target genes, significantly influencing gene expression, and phenotypic traits. In this study, we present a plant chromatin interaction prediction model called PlantCTCIP based on Convolutional Neural Networks and Transformer.
Zhenye Wang +14 more
wiley +1 more source
Optimization based load forecasting and demand management in smart building microgrids with Greylag Goose and Bi level graph models. [PDF]
Ahamed BS +6 more
europepmc +1 more source
ABSTRACT Genomic selection (GS) is critical for accelerating genetic gain in modern plant breeding. Deep learning approaches offer powerful non‐linear representation capabilities for modelling non‐additive effects. However, their application in GS remains restricted, as high‐dimensional, low‐sample and noisy data hinder the identification of ...
Yuexin Ma +7 more
wiley +1 more source
Low-SNR and BER reduction in UWOC systems using DESN and CNN-TCN deep learning models. [PDF]
Salama WM, Aly MH, Amer ES.
europepmc +1 more source
Measurement and modeling of diffuse ultraviolet radiation: A review
Solar UV radiation consists of direct and diffuse UV components. The diffuse component contributes to the exposure received by humans and to the risk of skin cancer and sun‐related eye disorders. This review aims to determine future research directions for the measurement and modeling of diffuse solar UV radiation.
Alfio V. Parisi +7 more
wiley +1 more source
AI-based intelligent sensing detection of cybersecurity threats using multimodal sensor data in smart devices. [PDF]
Latif M +6 more
europepmc +1 more source
Analysis of Models to Estimate Morbidity Rates of Respiratory Diseases Through Deep Learning
ABSTRACT Respiratory diseases remain a challenge in Brazil due to socioeconomic inequalities and environmental risks that intensify population vulnerability. This study compared XGBoost with a deep learning model using stacked Gated Recurrent Units (GRU), trained with morbidity data from respiratory diseases and exogenous variables such as per capita ...
Liliane Moreira Nery +6 more
wiley +1 more source
Recurrent neural network long short term memory model to detect the pile toe using raw data of pile integrity test. [PDF]
Samaan RM +3 more
europepmc +1 more source
Advances in cardiac devices and bioelectronics augmented with artificial intelligence
Abstract figure legend Interfaces between the human heart, diagnostic bioelectronics, artificial intelligence, and clinical care. From left to right: Human heart and biosensor interface; representative waveforms of common diagnostic bioelectronic sensing modalities.
Charles Stark +3 more
wiley +1 more source

