Results 141 to 150 of about 1,052,376 (334)

Fully Dynamic Reorder Policies with Deep Reinforcement Learning for Multi-Echelon Inventory Management

, 2022
The operation of inventory systems plays an important role in the success of manufacturing companies, making it a highly relevant domain for optimization.
Mu, Gang, Braun, Torsten, Hammler, Patric, Riesterer, Nicolas   +3 more
core  

Epidermal Patch Technologies for Integrated Healthcare and Infection Management

Advanced Healthcare Materials, EarlyView.
Epidermal patches have evolved from simple wound coverings into multifunctional, skin‐conformable platforms integrating drug delivery, biosensing, and therapeutic functionalities. This review highlights their material innovations, fabrication strategies, and intelligent designs, including hydrogels, microneedles, and flexible electronics, while ...
Yuqi Wang, Atakan Tevlek, Pawel L. Urban, Boaz Mizrahi, Onome Ejeromedoghene, Roshan Deen, Yuanjing Lin, Jagan Mohan Dodda   +7 more
wiley   +1 more source

Deep reinforcement learning for UAV patrolling in rescue operations [PDF]

LAUREA MAGISTRALEQuesto progetto nasce dalla explorazione sulla fattibilità e all’ottimizzazione possibile nell’implementazione di tecniche di Intelligenza Artificiale (AI) e Machine Learning in operazioni di soccorso sensibili al tempo.
Bautista Linde, Rafael
core  

Solving time-varying maze with deep reinforcement learning for tiny devices

, 2022
LAUREA MAGISTRALENell'ambito del ‘Tiny Machine Learning’ (Tiny ML), l'adozione del ‘Deep Reinforcement Learning’ (DRL) è stata fortemente limitata a causa degli onerosi costi computazionali che tali algoritmi richiedono.
Colella, Stefano
core  

Immunoinflammatory Mechanisms and Biocompatibility of Bioactive Dental Biomaterials: From Fundamental Insights to Clinical Translation

Advanced Healthcare Materials, EarlyView.
Surface‐host dialogue at the implant interface governs biological fate and osseointegration. Surface physicochemical properties of titanium (Ti) dental implants, including microgrooves, nanopatterns, nanotopography, roughness, and wettability, modulate the initial adsorption of proteins and the formation of a dynamic biointerface.
Daniela Moreira Cunha, Amanda Paino Santana, Marta Maria Alves Pereira, Mariana Martins Guerreiro, Jose Mauro Granjeiro, Jamil Awad Shibli, Jeroen J. J. P. van den Beucken, Anton Sculean, Rafael Scaf de Molon, Erica Dorigatti de Avila   +9 more
wiley   +1 more source

Natural Biomaterials for Osteochondral Repair: From Source to Strategy

Advanced Healthcare Materials, EarlyView.
Biological origin‐guided overview of natural biomaterials and therapeutic strategies for osteochondral tissue engineering. The circular diagram categorizes representative materials and strategies into plant/algae‐derived, microbial‐derived, animal‐derived, and human‐derived sources, centered on an osteochondral defect repair model.
Hengyu Liu, Hanyang Zhang, Wenbo Yang, Hao Chen, Jincheng Wang, Fei Chang   +5 more
wiley   +1 more source

Artificial intelligence and reinforcement learning

, 2022
In my thesis I would like to discuss AI (Artificial Intelligence), its connection to RL (Reinforcement Learning), and how to incorporate these ideas into a game.
Khedr, Mohamed
core  

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Pattern-Aware Intelligent Anti-Jamming Communication: A Sequential Deep Reinforcement Learning Approach

IEEE Access, 2019
This paper investigates the problem of anti-jamming communication in dynamic and intelligent jamming environment. A sequential deep reinforcement learning algorithm (SDRLA) without prior information is proposed, and raw spectrum information is used as ...
Songyi Liu, Yifan Xu, Xueqiang Chen, Ximing Wang, Meng Wang, Wen Li, Yangyang Li, Yuhua Xu   +7 more
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source