Results 181 to 190 of about 684,507 (282)

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

Enhancing Atomic‐Resolution in Electron Microscopy: A Deep Learning Denoiser Operating in the Frequency Domain

open access: yesAdvanced Intelligent Systems, EarlyView.
The newly developed AI‐automated Fast Fourier Transform denoising algorithm surpasses conventional real‐space methods by revealing even light atoms otherwise hidden in noisy backgrounds. Atomic resolution electron microscopy has become an essential tool for many scientific fields, when direct visualization of atomic arrangements and defects is needed ...
Ivan Pinto‐Huguet   +8 more
wiley   +1 more source

Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza   +2 more
wiley   +1 more source

Data-adaptive Shrinkage via the Hyperpenalized EM Algorithm. [PDF]

open access: yesStat Biosci, 2015
Boonstra PS, Taylor JM, Mukherjee B.
europepmc   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

open access: yesAdvanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella   +5 more
wiley   +1 more source

Facilitating Genetic Testing for Perinatal Demise: Development of a Multidisciplinary Workflow

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Genetic contributors to perinatal demise are common but frequently undiagnosed due to clinical and logistical barriers. We aimed to improve access to genetic for intrauterine fetal demise (IUFD), stillbirth, and early neonatal death by developing a multidisciplinary workflow.
Mackenzie Mosera   +15 more
wiley   +1 more source

Impedance‐Controlled Multipoint Radiofrequency Ablation for Chronic Rhinitis: A Randomized Controlled Trial

open access: yesInternational Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background The purpose of this randomized controlled trial (RCT) was to demonstrate that posterior nasal nerve ablation treatment with the NEUROMARK System is superior to a sham control procedure in patients with chronic rhinitis. Methods In this prospective, multicenter, single‐blinded, superiority RCT, 132 participants were randomized 2:1 to
Masayoshi Takashima   +5 more
wiley   +1 more source

Dupilumab Beyond the Airway: Decreased Morbidity in a Real‐World Analysis

open access: yesInternational Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Post hoc analyses of clinical trials have characterized dupilumab's adverse effects, yet the real‐world impact in chronic rhinosinusitis with nasal polyps (CRSwNP) and asthma is not well described. This study aims to characterize the risks of lymphoma, cardiovascular events, eosinophilia, joint pain, inflammatory arthritis, and ...
Emma J. Anisman   +9 more
wiley   +1 more source

Individualized Atrophy‐Based Prediction of Dementia Progression in Familial Frontotemporal Lobar Degeneration With Bayesian Linear Mixed‐Effects Modeling

open access: yesAnnals of Neurology, EarlyView.
Objective Age of symptom onset is highly variable in familial frontotemporal lobar degeneration (f‐FTLD). Accurate prediction of onset would inform clinical management and trial enrollment. Prior studies indicate that individualized maps of brain atrophy can predict conversion to dementia in f‐FTLD.
Shubir Dutt   +82 more
wiley   +1 more source

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