Results 181 to 190 of about 195,650 (335)

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Behavioral history effects on the maintenance of schedule-induced drinking in rats. [PDF]

J Exp Anal Behav
López-Tolsa GE, Ardoy J, Pellón R.
europepmc   +1 more source

Patterns of responding in conditioned reinforcement schedules superimposed on primary reinforcement schedules [PDF]

, 1971
Donald W. Zimmerman
openalex   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

HUMAN SENSITIVITY TO CONCURRENT SCHEDULES OF REINFORCEMENT: EFFECTS OF OBSERVING SCHEDULE‐CORRELATED STIMULI

, 1999
Gregory J. Madden, Michael Perone
openalex   +1 more source

A deep reinforcement learning approach for chemical production scheduling

, 2020
Christian D. Hubbs, Can Li, Nikolaos V. Sahinidis, Ignacio E. Grossmann, John M. Wassick   +4 more
openalex   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced 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, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

Advanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source

Deep learning optimization of teaching schedules in sports dance education. [PDF]

Sci Rep
Zhao G, Gu X, Du X, Yang Z.
europepmc   +1 more source

The interaction of deprivation and delay of reinforcement under a fixed-ratio schedule of responding [PDF]

, 1975
Larry D. Hilgert, Gary F. Meunier
openalex   +1 more source