Results 101 to 110 of about 323,609 (233)

ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning [PDF]

, 2021
Xiaoyang Liu, Zechu Li, Zhuoran Yang, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo, Michael I. Jordan   +7 more
openalex   +1 more source

Precise Control of Drug Release in Machine Learning‐Designed Antibody‐Eluting Implants for Postoperative Scarring Inhibition in Glaucoma

Advanced Healthcare Materials, EarlyView.
We developed a micro‐sized, biocompatible implant for postoperative sustained delivery of anti‐fibrotic antibodies in glaucoma surgery. Machine learning‐guided optimization of polymer composition, implant geometry, and porosity enabled precise control of drug release.
Mengqi Qin, Wenbing Jiang, Kai Xin Thong, Zeynep Ulker, Brihitejas Patel, Cynthia Yu‐Wai‐Man   +5 more
wiley   +1 more source

Optimizing hybrid electric vehicle coupling organic Rankine cycle energy management strategy via deep reinforcement learning

Energy and AI
Trucks consume a lot of energy. Hybrid technology maintains a long range while realizing energy savings. Hybrid is therefore an effective energy-saving technology for trucks.
Xuanang Zhang, Xuan Wang, Ping Yuan, Hua Tian, Gequn Shu   +4 more
doaj   +1 more source

WAD: A Deep Reinforcement Learning Agent for Urban Autonomous Driving [PDF]

, 2021
Arjit Sharma, Sahil Sharma
openalex   +1 more source

Smart Catheters for Diagnosis, Monitoring, and Therapy

Advanced Healthcare Materials, EarlyView.
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman, Samiha Ahmed, Majed Othman Althumayri, Megan Guy, Darlenne Chavez Lugo, Frances S. Ligler, George T. Ligler, Rahmi Oklu, Hiroshi Kawahira, Michael J. McShane, Jun Kameoka, Jonathan Bova, Hatice Ceylan Koydemir   +12 more
wiley   +1 more source

Reinforcement learning-based energy management for hybrid electric vehicles: A comprehensive up-to-date review on methods, challenges, and research gaps

Energy and AI
Reinforcement learning is widely used for control applications and has also been successfully implemented for efficient energy management within hybrid electric vehicles.
Mohamed Nadir Boukoberine, Muhammad Fahad Zia, Tarek Berghout, Mohamed Benbouzid   +3 more
doaj   +1 more source

Redefining Therapies for Drug‐Resistant Tuberculosis: Synergistic Effects of Antimicrobial Peptides, Nanotechnology, and Computational Design

Advanced Healthcare Materials, EarlyView.
Antimicrobial peptide (AMP)‐loaded nanocarriers provide a multifunctional strategy to combat drug‐resistant Mycobacterium tuberculosis. By enhancing intracellular delivery, bypassing efflux pumps, and disrupting bacterial membranes, this platform restores phagolysosome fusion and macrophage function.
Christian S. Carnero Canales, Jessica Ingrid Marquez Cazorla, Renzo Marianito Marquez Cazorla, Aline Martins dos Santos, Jonatas Lobato Duarte, Letícia Oliveira Catarin Nunes, Túlio Custódio Reis, Lara Cerazi Salvador, Norival Alves Santos‐Filho, Rafael Miguel Sábio, Hélder A. Santos, Fernando Rogério Pavan   +11 more
wiley   +1 more source

Online Deep Reinforcement Learning on Assigned Weight Spaghetti Grasping in One Time using Soft Actor-Critic [PDF]

, 2022
Prem Gamolped, Sakmongkon Chumkamon, Chanapol Piyavichyanon, Eiji Hayashi, Abbe Mowshowitz   +4 more
openalex   +1 more source

Hybrid Nanofibers for Multimodal Accelerated Wound Healing

Advanced Healthcare Materials, EarlyView.
Fabrication of wound healing scaffolds based on biocompatible nanofibers. Nanofibers offering high surface area, flexibility, and biocompatibility significantly improved the healing outcome in vivo. Histological, immunological, and anti‐inflammatory markers are noticeably better in treated wounds.
Viraj P. Nirwan, Bence Bajusz, Norbert Fabók, Marina Rudan Dimlic, Jelena Budimir, Tshepang Mqatywa, Miklós Gyöngy, Márton Ferencz, Dorottya Kocsis, Olexandr Bondarenko, Mariia Rolduhina, Milena Lengyel, Istvan Antal, Rebecca Hengsbach, Franciska Erdő, Amir Fahmi   +15 more
wiley   +1 more source

Microneedle Technology in Psoriasis Management: Mechanistic Insights, Technological Innovation, Clinical Progress, and Challenges

Advanced Healthcare Materials, EarlyView.
This review explores the evolving role of microneedle systems in psoriasis management, highlighting their potential for enhanced drug delivery, diagnosis, and disease monitoring. It also discusses unmet clinical needs for psoriasis management and technical challenges, while outlining strategic directions to advance microneedle integration into routine ...
Fatma Moawad, Yasmine Ruel, Roxane Pouliot, Davide Brambilla   +3 more
wiley   +1 more source