Results 211 to 220 of about 16,046 (295)
Synthetic artificial intelligence in cardiology: from generative models to clinical applications. [PDF]
Parise G +8 more
europepmc +1 more source
A mutation‐based approach (MBA) to rebalance defect datasets improves recall, particularly in cross‐project prediction, but increases false alarms and does not consistently enhance MCC or AUC. These findings highlight both the potential and limitations of mutation‐based rebalancing in software defect prediction.
Dinçer Güner +2 more
wiley +1 more source
Artificial intelligence optimizes immune rejection prediction and management in heart transplantation: a structured narrative review. [PDF]
Chen K, Lai J, Luo Y, Li C, Wang G.
europepmc +1 more source
ABSTRACT This systematic review synthesizes evidence from 68 studies, including peer‐reviewed journal articles, indexed conference/workshop proceedings and five remaining arXiv preprints published between 2022 and 2025, on small language models (SLMs) as computationally efficient alternatives to large language models (LLMs).
Sena Dikici, Turgay Tugay Bilgin
wiley +1 more source
Multimodal Sentiment and Emotion Analysis Framework for Personalized Health Coaching Messages: Proof-of-Concept Study. [PDF]
Md Zuki MA, Mohamad Ali N, Chaw JK.
europepmc +1 more source
ABSTRACT The Mesosphere and Lower Thermosphere establish an essential connection between Earth's lower atmosphere and upper atmosphere because wind patterns essential for atmospheric movement also influence energy distribution and chemical movements during geomagnetic storms that disrupt satellite operations and space weather prediction systems.
Yunhao Si
wiley +1 more source
Air Target ISAR Recognition Based on Data Augmentation and Transfer Learning. [PDF]
Wang M, Huang Z, Cai J, Wu T, Lin Y.
europepmc +1 more source
ABSTRACT Gliomas are aggressive brain tumors that require accurate imaging‐based diagnosis, where automated segmentation plays a central role in assessing tumor morphology and guiding treatment decisions. Manual delineation of gliomas is time‐consuming and prone to variability, motivating the use of deep learning to improve consistency and alleviate ...
Cecilia Diana‐Albelda +4 more
wiley +1 more source
Review of Progress of AI in Biomimetics: From Biological Patterns to Closed-Loop Discovery. [PDF]
Hu Z, Hong H, Lin T.
europepmc +1 more source
ABSTRACT Background Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative parameter mapping from which synthetic clinical contrast images can be derived using deep learning (DL). Purpose This study evaluates the reliability and interchangeability of MRF‐derived synthetic knee MRI relative to conventional MRI in patients with osteoarthritis.
Mika T. Nevalainen +9 more
wiley +1 more source

