Results 251 to 260 of about 143,911 (316)

Advanced Deep Learning and Hybrid Architectures in Biomedical Data Analysis for Advances in Medicine

open access: yesMedicine Advances, EarlyView.
This review summarizes AI methods for biomedical imaging and clinical data analysis. Deep learning and multimodal models improve feature learning and diagnostic accuracy. Future progress requires explainable and generalizable AI for precision medicine.
Lifeng Li   +4 more
wiley   +1 more source

AI‐Enabled Cardiac Rehabilitation for Patients With Heart Failure After Myocardial Infarction: Current Status and Future Prospects

open access: yesMedicine Advances, EarlyView.
This article illustrates the current dilemmas of myocardial infarction patients after traditional cardiac rehabilitation, as well as the feasibility of using artificial intelligence to optimize and assist with rehabilitation programs such as by integrating mobile apps, wearables, ECGs, medication, vital signs, and assessment data; finally, the AI ...
Xinyuan Huang   +6 more
wiley   +1 more source

Prediction of Failure in Lithium‐Rich Cathode Half‐Cells Using Early‐Cycle Data

open access: yesMaterials Genome Engineering Advances, EarlyView.
Using a dataset constructed from the performance evolution of Li‐rich cathode materials, a GBDT‐based model was developed for early half‐cell failure prediction. By using only data from the first 50 cycles, the model enables rapid identification of failure tendencies and provides an efficient tool for performance screening and evaluation.
Xiaoya Zhang   +6 more
wiley   +1 more source

Fault Detection of Electric Motors via Symmetrized Dot Pattern‐Based Features

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This study proposes a novel symmetrized dot pattern (SDP) approach using designed SDP‐based features, extracted from transformed vibration signals, for fault detection. These features describe the compactness, inclination, and shape of the “snowflake” diagram distributions.
Mario Spirto   +6 more
wiley   +1 more source

Hybrid computational intelligence framework for accurate wind power forecasting and grid integration applications. [PDF]

open access: yesSci Rep
Alkhrissat T   +7 more
europepmc   +1 more source

Fault Diagnosis in an Induction‐Motor‐Driven Rotating Machinery Test Rig Under Unseen Operating Loads Using Multimodal Fusion and Multiagent Deep Reinforcement Learning

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Conventional fault‐diagnosis methods, largely grounded in one‐dimensional signal analysis and linear modeling, often fail to detect complex nonlinear faults in rotating machinery operating under variable loads. Data‐driven approaches also face challenges in extracting discriminative information from high‐dimensional multisensor measurements ...
Amirreza Marzband, Javad Poshtan
wiley   +1 more source

Home - About - Disclaimer - Privacy