Comparative study of single and hybrid deep learning models for daily rainfall prediction in selected African cities. [PDF]
Samson TK, Aweda FO.
europepmc +1 more source
Recommender Systems: Taxonomy, Applications and Current Research Trends
Integrating taxonomy, application developments, open‐source software, and publication trends, this paper identifies and outlines promising future directions for recommender systems research. ABSTRACT Recommender Systems play an essential role in assisting users to navigate the immense amount of information and services available online, aiding them in ...
Daniel Ranchal‐Parrado +2 more
wiley +1 more source
A minimal recurrent neural network models the robustness of interleaved practice on motor sequence learning. [PDF]
Song Y, Kim H, Kim T.
europepmc +1 more source
Deep Learning for Satellite‐Based Forest Disturbance Monitoring: Recent Advances and Challenges
Overview of key research challenges in forest disturbance monitoring, including the detection of disturbances of varying severity, the attribution of disturbance agents, and the development of models capable of generalizing across regions. ABSTRACT Climate change and land use pressures are intensifying forest disturbances in many world regions, as ...
Carolina Natel +3 more
wiley +1 more source
Performance comparison of MPPT controllers in a grid-connected PV system: LCOE and payback period approaches. [PDF]
Babu PC +5 more
europepmc +1 more source
Fourier Neural Pseudo‐Log Generator for Well Log Reconstruction and Beyond‐Record Generation
Abstract Geophysical well logging is crucial for subsurface exploration, but its application is often hindered by incomplete data and high operational costs. To address these challenges, we propose the Fourier neural pseudo‐log generator (FNPG), a novel generative model capable of both missing well log reconstruction and generation of new, beyond ...
Zicheng Gai, Yanfei Wang
wiley +1 more source
Integrative spatial profiling pipeline for determining TME architectures in archival clinical specimens using CmTSA superplex technology. [PDF]
Xiao C +20 more
europepmc +1 more source
Advances in Electrocardiogram‐Based Non‐Invasive Blood Glucose Monitoring Technology
ABSTRACT Blood glucose monitoring is fundamental to diabetes management, yet traditional invasive methods are limited by patient discomfort and infection risks. In recent years, electrocardiogram (ECG), a conventional tool for cardiovascular assessment, has gained attention as a prospective method for non‐invasive blood glucose monitoring.
Qi Zeng +5 more
wiley +1 more source
Prediction of Nitrogen Injection Displacement Efficiency for High-Efficiency Methane Emission Reduction in Coal Mines: A TCN-BiGRU-MHA Hybrid Model. [PDF]
Yang X +5 more
europepmc +1 more source
Artificial intelligence chatbots in endodontic education—Concepts and potential applications
Abstract The integration of artificial intelligence (AI) into education is transforming learning across various domains, including dentistry. Endodontic education can significantly benefit from AI chatbots; however, knowledge gaps regarding their potential and limitations hinder their effective utilization.
Hossein Mohammad‐Rahimi +5 more
wiley +1 more source

