Results 111 to 120 of about 241,763 (280)

Adaptive Q-Learning Grey Wolf Optimizer for UAV Path Planning

Drones
Path planning is crucial for safely and efficiently navigating unmanned aerial vehicles (UAVs) toward operational goals. Often, this is a complex, multi-constraint, and non-linear optimization problem, and metaheuristic algorithms are frequently used to ...
Golam Moktader Nayeem, Mingyu Fan, Golam Moktader Daiyan   +2 more
doaj   +1 more source

Deep Q-Learning for Nash Equilibria: Nash-DQN

, 2019
Model-free learning for multi-agent stochastic games is an active area of research. Existing reinforcement learning algorithms, however, are often restricted to zero-sum games, and are applicable only in small state-action spaces or other simplified ...
Casgrain, Philippe, Jaimungal, Sebastian, Ning, Brian   +2 more
core  

Bio‐Orthogonally Crosslinked Supramolecular Polymer Bottlebrush Hydrogels for Long‐Term 3D Cell Culture

Advanced Functional Materials, EarlyView.
Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi, David Pretzel, Peer Nölte, Kourosh Rezaei, Ulrich S. Schubert, Johannes C. Brendel   +5 more
wiley   +1 more source

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

Advanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi, Sumukh Shankar Sharadaprasad, Rochus Schmid   +2 more
wiley   +1 more source

Micro- and Macro-Level Validation in Agent-Based Simulation: Reproduction of Human-Like Behaviors and Thinking in a Sequential Bargaining Game [PDF]

This paper addresses both micro- and macro-level validation in agent-based simulation (ABS) to explore validated agents that can reproduce not only human-like behaviors externally but also human-like thinking internally.
Keiki Takadama, Tetsuro Kawai, Yuhsuke Koyama   +2 more
core  

Additive Manufacturing of NiTi Shape Memory Alloys for Elastocaloric Applications: A Review

Advanced Functional Materials, EarlyView.
Additive manufacturing enables complex NiTi architectures that overcome key limitations in elastocaloric refrigeration, including poor heat transfer and high mechanical work input. This review surveys recent advances in LPBF‐ and DED‐fabricated NiTi shape memory alloys for elastocaloric applications, highlighting process–structure–performance ...
Ignatius Andre Setiawan, Mohammad Mehrali, Jaka Tušek, Shiva Mohajerani, Xiebin Wang, Dermot Brabazon, Mohammad Elahinia, Mehrshad Mehrpouya   +7 more
wiley   +1 more source

CUBIC-Learn: A Reinforcement Learning Approach to CUBIC Congestion Control

Jordanian Journal of Computers and Information Technology
Managing congestion effectively enables reliable and fast data transfer over networks. CUBIC delivers reliable results under normal circumstances but cannot adapt effectively to changing network scenarios.
Ehsan Abedini, Mohsen Nickray
doaj   +1 more source

Maximum Power Point Tracking of Photovoltaic System Based on Reinforcement Learning

Sensors, 2019
The maximum power point tracking (MPPT) technique is often used in photovoltaic (PV) systems to extract the maximum power in various environmental conditions.
Kuan-Yu Chou, Shu-Ting Yang, Yon-Ping Chen   +2 more
doaj   +1 more source

Disordered Carbon Shells Enable Shape Dependent Fluorescence Enhancement in Nanodiamond Quantum Sensors Revealed by Correlative TEM–Fluorescence Microscopy

Advanced Functional Materials, EarlyView.
Molten KNO2 treatment induces a lowrefractive index disordered carbon shell on fluorescent nanodiamonds, enhancing fluorescence emission while preserving spin coherence. Machine learningassisted correlative TEMPL enables direct single‐particle resolution of this enhancement relative to air‐oxidized nanodiamonds of similar morphology, establishing a ...
Parkarsh Kumar, Tom Vaillant, Mehran Kianinia, Haotian Wen, Adam Stewart, Peter J. Reece, Hugues A. Girard, Jean‐Charles Arnault, Huan‐Cheng Chang, Igor Aharonovich, Shery L. Y. Chang   +10 more
wiley   +1 more source

A Reinforcement Learning Approach to Solve Service Restoration and Load Management Simultaneously for Distribution Networks

IEEE Access, 2019
Energy and economy are increasing the relationship over the years, where the energy becomes a significant resource to keep a country developing, and it supports its economy.
Lucas Roberto Ferreira, Alexandre Rasi Aoki, Germano Lambert-Torres   +2 more
doaj   +1 more source