Results 131 to 140 of about 57,740 (314)

Engineering Extracellular Microenvironments: The Impact of Fibrous Materials on Cell Behavior

Advanced Healthcare Materials, EarlyView.
Fibrous structures are key elements of the native extracellular matrix and crucial for directing cell behavior. This review discusses how fiber properties such as composition, diameter, and alignment affect cell responses in 2D and 3D systems. Strategies for integrating fibrous cues into engineered tissues are highlighted, and future directions for ...
Zan Lamberger, Gregor Lang
wiley   +1 more source

Massively Parallel Methods for Deep Reinforcement Learning

, 2015
Arun Sukumaran Nair, P. Srinivasan, Sam Blackwell, Cagdas Alcicek, Rory Fearon, Alessandro De Maria, Vedavyas Panneershelvam, Mustafa Suleyman, Charles Beattie, Stig Petersen, Shane Legg, Volodymyr Mnih, Koray Kavukcuoglu, David Silver   +13 more
openalex   +2 more sources

Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning [PDF]

, 2017
Yu Fan Chen, Miao Liu, Michael Everett, Jonathan P. How   +3 more
openalex   +1 more source

Biocompatible PVDF Nanofibers with Embedded Magnetite Nanodiscs Enable Wireless Magnetoelectric Stimulation in Premotor Cortex

Advanced Healthcare Materials, EarlyView.
Flexible, biocompatible PVDF nanofibers embedded with magnetite nanodiscs enable wireless magnetoelectric neuromodulation. Shape anisotropy of the nanodiscs facilitates magnetostrictive strain transfer under alternating magnetic fields, allowing activation of neurons in vitro and behavioral modulation in vivo, without requiring rigid implants or ...
Lorenzo Signorelli, Anouk Wolters, Vicente Durán Toro, Jonas Englhard, Mahdieh Shojaei Baghini, Elif Koçar, Franziska Wasner, Nadine I. Goldenstein, Hadi Heidari, Julien Bachmann, Sarah Hescham, Danijela Gregurec   +11 more
wiley   +1 more source

A deep reinforcement learning with dynamic spatio-temporal graph model for solving urban logistics delivery planning problems

International Journal of Digital Earth
The urban logistics delivery planning problems are a crucial component of urban spatial decision analysis. Most studies typically focus on traditional urban logistics delivery planning problems and ignore real-time traffic information.
Yuanyuan Li, Qingfeng Guan, Junfeng Gu, Xintong Jiang   +3 more
doaj   +1 more source

Engineering Complexity: Advances in 3D Breast Cancer Models for Precision Oncology

Advanced Healthcare Materials, EarlyView.
In vitro breast cancer models that closely mimic the complex biological and cellular interactions within the tumor microenvironment hold strong promise for enhancing our understanding of tumor progression, immune system behavior, and resistance to therapies, which are essential for developing personalized cancer treatments. Abstract Engineered in vitro
Wonwoo Jeong, Sang Jin Lee
wiley   +1 more source

Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning [PDF]

, 2017
Abhishek Das, Satwik Kottur, José M. F. Moura, Stefan Lee, Dhruv Batra   +4 more
openalex   +1 more source

End-to-End Deep Reinforcement Learning for Lane Keeping Assist

, 2016
Ahmad El Sallab, Mohammed Abdou, Etienne Pérot, Senthil Yogamani   +3 more
openalex   +2 more sources

Attention-Aware Face Hallucination via Deep Reinforcement Learning [PDF]

, 2017
Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li   +4 more
openalex   +1 more source

Deep Reinforcement Learning in Recommender Systems

, 2021
Recommender Systems aim to help customers find content of their interest by presenting them suggestions they are most likely to prefer. Reinforcement Learning, a Machine Learning paradigm where agents learn by interaction which actions to perform in an environment so as to maximize a reward, can be trained to give good recommendations.
openaire   +2 more sources