Enhanced backpropagation neural network accuracy through an improved genetic algorithm for tourist flow prediction in an ecological village. [PDF]
Chen X, Wong CUI, Zhang H, Song Z.
europepmc +1 more source
Mechanism‐Aware Digital Twin for High‐Temperature Creep Prediction in Mo–Re Alloys
A digital twin framework enables real‐time monitoring of creep in refractory alloys and reveals dislocation‐drag‐induced Re segregation to grain boundaries. Inspired by this, La2O3 dispersion is introduced to suppress dislocation motion — concurrently mitigating Re segregation and enhancing creep resistance.
Jinhan Xu +7 more
wiley +1 more source
The Potential of Low-Cost IoT-Enabled Agrometeorological Stations: A Systematic Review. [PDF]
Kalaany CMA +5 more
europepmc +1 more source
Recent advances in materials and device engineering enable continuous, real‐time monitoring of muscle activity via wearable and implantable systems. This review critically summarizes emerging technologies for tracking electrophysiological, biomechanical, and oxygenation signals, outlines fundamental principles, and highlights key challenges and ...
Zhengwei Liao +4 more
wiley +1 more source
Achieving environmental sustainability via an integrated shampoo optimized BiLSTM-Transformer model for enhanced time-series forecasting. [PDF]
El-Saieed AM, Dief NA.
europepmc +1 more source
In this paper, a novel floating gate transistor (BP/POx/WSe2) is developed, which enables rich synaptic functionality under optoelectronic conditions and can mimic human visual memory. By introducing a two‐path convolutional neural network that synergistically fuses optical and electronic inputs, it can achieve efficient feature extraction and weight ...
Yuxuan Zeng +13 more
wiley +1 more source
A Hybrid Framework Integrating Traditional Models and Deep Learning for Multi-Scale Time Series Forecasting. [PDF]
Liu Z, Zhang Z, Zhang W.
europepmc +1 more source
Electrochemical adhesion provides stable, long‐term adhesion without continuous power input after electro‐programming, enabling applications that require durable and controllable adhesion, such as biomedical patches, structural health monitoring sensors, and aerospace devices. Herein, we demonstrate high‐performance electrochemical adhesives based on a
Yoon‐Je Choi +4 more
wiley +1 more source
Optimizing potato yield predictions in Uttar Pradesh, India: a comparative analysis of machine learning models. [PDF]
Alsaber A +3 more
europepmc +1 more source
Fog-Enabled Machine Learning Approaches for Weather Prediction in IoT Systems: A Case Study. [PDF]
İşler B, Kaya ŞM, Kılıç FR.
europepmc +1 more source

