Results 61 to 70 of about 5,876,040 (331)

What do people really think about the RSV vaccine? Study of unsolicited text replies from adults over 60

Humanities & Social Sciences Communications
A digital health intervention (DHI) using SMS precision nudging to drive RSV vaccine uptake among adults over 60 was launched with a large community pharmacy chain in 2023, two months after the vaccine’s FDA approval for adult administration in the ...
E. Susanne Blazek, Sarah Deedat, Olivia Kinney, Allison M. Londerée, Stacey Frede, Amy Bucher   +5 more
doaj   +1 more source

Efficient Hindsight Experience Replay with Transformed Data Augmentation

Journal of Applied Science and Engineering, 2023
Motion control of robots is a high-dimensional, nonlinear control problem that is often difficult to handle using traditional dynamical path planning means.
Jiazheng Sun, Weiguang Li
doaj   +1 more source

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

FEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi, Xin Gao, Takashi Gojobori   +2 more
wiley   +1 more source

Performance characterization of reinforcement learning-enabled evolutionary algorithms for integrated school bus routing and scheduling problem

International Journal of Cognitive Computing in Engineering, 2021
Bi-objective school bus scheduling optimization problem that is a subset of vehicle fleet scheduling problem is focused in this paper. In the literature, school bus routing and scheduling problem is proven to be an NP-Hard problem.
Eda Koksal, Abhishek R. Hegde, Haresh P. Pandiarajan, Bharadwaj Veeravalli   +3 more
doaj  

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

FEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik, Deniz Bakkalci, Alexander J. MacRobert, Umber Cheema   +3 more
wiley   +1 more source

GenFedRL: a general federated reinforcement learning framework for deep reinforcement learning agents

Tongxin xuebao, 2023
To solve the problem that intelligent devices equipped with deep reinforcement learning agents lack effective security data sharing mechanisms in the intelligent Internet of things, a general federated reinforcement learning (GenFedRL) framework was ...
Biao JIN, Yikang LI, Zhiqiang YAO, Yulin CHEN, Jinbo XIONG   +4 more
doaj   +2 more sources

Comparative Analysis of Energy Management Strategies for HEV: Dynamic Programming and Reinforcement Learning

IEEE Access, 2020
Energy management strategy is an important factor in determining the fuel economy of hybrid electric vehicles; thus, much research on how to distribute the required power to engines and motors of hybrid vehicles is required.
Heeyun Lee, Changhee Song, Namwook Kim, Suk Won Cha   +3 more
doaj   +1 more source

The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI [PDF]

, 2020
After generalizing the Archimedean property of real numbers in such a way as to make it adaptable to non-numeric structures, we demonstrate that the real numbers cannot be used to accurately measure non-Archimedean structures.
Alexander, Samuel Allen
core   +1 more source

Current trends in single‐cell RNA sequencing applications in diabetes mellitus

FEBS Open Bio, EarlyView.
Single‐cell RNA sequencing is a powerful approach to decipher the cellular and molecular landscape at a single‐cell resolution. The rapid development of this technology has led to a wide range of applications, including the detection of cellular and molecular mechanisms and the identification and introduction of novel potential diagnostic and ...
Seyed Sajjad Zadian, Khodakaram Jahanbin, Shekoofeh Nikooei, Marzieh Rostaminejad, Arezoo Rahimi, Pedram Abdizadeh, Behnam Alipoor   +6 more
wiley   +1 more source

Learning to Utilize Curiosity: A New Approach of Automatic Curriculum Learning for Deep RL

Mathematics, 2022
In recent years, reinforcement learning algorithms based on automatic curriculum learning have been increasingly applied to multi-agent system problems.
Zeyang Lin, Jun Lai, Xiliang Chen, Lei Cao, Jun Wang   +4 more
doaj   +1 more source