Institute of Intelligent Machines

Artificial Neural Networks for RF Passive-Device Modeling and Design: A Review

Artificial neural networks (ANNs) offer efficient surrogates for radio-frequency (RF) passive-device modeling and design, but prediction accuracy alone does not establish their engineering reliability. This review examines four overlapping analytical perspectives: data generation...

A dual-channel deep learning framework integrating preoperative and intraoperative multi-phase data for predicting post-ablation recurrence in atrial fibrillation

Predicting atrial fibrillation (AF) recurrence after catheter ablation is essential for optimizing postoperative management. This study developed the Ablation-Clinical Fusion Transformer (ACFT), a dual-channel framework integrating structured intraoperative ablation sequences wit...

CFD-Based Simulation and Optimization of Summer Environmental Conditions in Laying Hen Houses

To address uneven temperature and relative humidity distributions, localized heat accumulation, and insufficient air velocity in an enclosed stacked-cage laying hen house, a three-dimensional computational fluid dynamics (CFD) model of the laying hen house was developed using fie...