Results 131 to 140 of about 2,099,219 (269)

Machine Learning for Organic Fluorescent Materials

open access: yesAggregate, EarlyView.
Organic fluorescent materials (OFMs) have demonstrated significant potential in diverse applications. Conventional approaches for studying OFMs face significant limitations in fluorescence spectroscopy and computational methods. Machine learning (ML) has revolutionized materials chemistry, offering superior predictive accuracy and efficiency over ...
Jiamin Zhong   +7 more
wiley   +1 more source

Editorial Necsus

open access: yesNECSUS, 2015
NECSUS Editorial Board
doaj   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced 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

The fate of manuscripts rejected from Kidney Research and Clinical Practice

open access: yesKidney Research and Clinical Practice, 2020
Sungjin Chung   +3 more
doaj   +1 more source

Editorial Board

open access: hybrid, 1905
Jonbs Baltimore   +24 more
openalex   +1 more source

Exploring the Effects of 3D Gaze Stimulation and Color Performance in Augmented Reality‐Based Steady‐State Visual Evoked Potential

open access: yesAdvanced Intelligent Systems, EarlyView.
This study investigates how gaze mode and stimulus brightness affect augmented reality‐based steady‐state visual evoked potentials (AR‐SSVEP) brain‐computer interface (BCI) performance. Experiments with 20 participants show that binocular gaze improves recognition accuracy and stimulus luminance impacts performance.
Yiting Geng   +6 more
wiley   +1 more source

Rapid Discovery of Sequence‐Encoded Magnetically Reconfigurable Microrobots Using Monte Carlo Simulations

open access: yesAdvanced Intelligent Systems, EarlyView.
A Monte Carlo simulation framework is introduced to predict the folding behavior of sequence‐encoded magnetic microrobots, enabling systematic exploration of their design space. By mapping key metrics such as radius of gyration and symmetry, the framework identifies functional sequences and predicts actuation behaviors.
Collin C. Kemper   +5 more
wiley   +1 more source

Kata Pengantar

open access: yesAgrointek, 2021
Editorial Editorial Board
doaj   +1 more source

EDITORIAL BOARD

open access: yesHematology/Oncology and Stem Cell Therapy, 2008
openaire   +1 more source

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