Results 171 to 180 of about 221,929 (334)
Advanced Intelligent Discovery, EarlyView.This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
IEEE AccessGenerative Adversarial Networks (GANs) have emerged as a powerful type of generative model, particularly effective at creating images from textual descriptions.
Patibandla Chanakya +2 more
doaj +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
On‐Device Brain Tumor Classification from MR Images Using Smartphone
Advanced Intelligent Systems, EarlyView.Herein, various deep learning models are trained for brain tumor classification task, and model performances are compared. The performance is further improved by using the proposed preprocessing algorithm before training. The MobileViT model, which is the best‐performing model in terms of balance between inference time and success rate, is integrated ...
Halil Ibrahim Ustun +3 more
wiley +1 more source
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks [PDF]
, 2021 Shengyu Zhao +6 more
openalex +1 more source
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
Advanced Intelligent Systems, EarlyView.This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source
Recursive Conditional Generative Adversarial Networks for Video Transformation [PDF]
, 2019 San Kim, Doug Young Suh
openalex +1 more source
Advanced Intelligent Systems, EarlyView.This study presents a robot‐assisted remote rehabilitation system for postoperative ankle fractures. The 2.634 kg modular system uses wireless control and deep learning to predict force delays, achieving 100 Hz control (normalized root mean square error ≤ 10.89%).
Zhiyuan He +4 more
wiley +1 more source