Results 131 to 140 of about 3,079,923 (316)
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian+12 more
wiley +1 more source
THE ATRIAL SOUND AND THE ATRIAL COMPONENT OF THE FIRST HEART SOUND
Priscilla Kincaid‐Smith+1 more
openalex +1 more source
Clinical Lecture on Accentuation of the Pulmonary Second Sound of the Heart [PDF]
Jaclyn E. Sawyer
openalex +1 more source
Large Language Model‐Based Chatbots in Higher Education
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
UltRAP‐Net: Reverse Approximation of Tissue Properties in Ultrasound Imaging
This study proposes a reverse approximation neural network (UltRAP‐Net) to extract underlying physics‐aware properties using multiple images with distinct appearances obtained at the same location of tissues. Through this robust approximation, the study advances the use of ultrasound images by opening potentials for various applications such as physics‐
Yingqi Li+4 more
wiley +1 more source
HEART SOUNDS AND INTRACARDIAC PRESSURES IN MITRAL STENOSIS
D G Julian, L. G. Davies
openalex +1 more source
Sounds and Bruits of the Heart and the Aorta, which can be heard at a certain distance from the Patient [PDF]
NULL AUTHOR_ID
openalex +1 more source
Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities
A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar+10 more
wiley +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source