Zobrazeno 1 - 10
of 2 640
pro vyhledávání: '"Deep Q-Network"'
Autor:
Sekar Kidambi Raju, Ganesh Karthikeyan Varadarajan, Amal H. Alharbi, Subhash Kannan, Doaa Sami Khafaga, Raj Anand Sundaramoorthy, Marwa M. Eid, S. K. Towfek
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Energy harvesters based on nanomaterials are getting more and more popular, but on their way to commercial availability, some crucial issues still need to be solved. The objective of the study is to select an appropriate nanomaterial. Using
Externí odkaz:
https://doaj.org/article/4cca51984bd849c8b7e5829041f9bacf
Publikováno v:
Alexandria Engineering Journal, Vol 108, Iss , Pp 937-951 (2024)
In recent years, the escalating impact of climate change has brought increasing attention to carbon-neutral strategies as a critical component of global environmental protection efforts. These strategies demand a comprehensive understanding of carbon
Externí odkaz:
https://doaj.org/article/4e00c2815bf745fd8ca44b3f34662fd4
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 8319-8339 (2024)
Abstract This paper addresses the challenge of large-scale electric vehicle (EV) charging scheduling during peak demand periods, such as holidays or rush hours. The growing EV industry has highlighted the shortcomings of current scheduling plans, whi
Externí odkaz:
https://doaj.org/article/7adaf4830b164667b878c4caa3de11e6
Autor:
CHEN Weixing, LI Yebo
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 42, Iss 4, Pp 764-773 (2024)
Aiming at the low utilization rate of airport refueling vehicles and long solution time of exact algorithm caused by the uncertainty of actual flight time, a deep Q network dynamic scheduling method for refueling vehicles combining with the multi-obj
Externí odkaz:
https://doaj.org/article/d5ce52b20525471c906b6330b6dcd7d5
Autor:
Zhao Feng
Publikováno v:
Journal of Intelligent Systems, Vol 33, Iss 1, Pp 489-500 (2024)
During the artistic journey, creators frequently encounter challenges stemming from pressure, resource constraints, and waning inspiration, all of which can impede their creative flow. Addressing these obstacles requires a multifaceted strategy aimed
Externí odkaz:
https://doaj.org/article/30f5197e49ed4cacb1c34648bc434f4a
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
IntroductionThis study addresses the challenge of active power (AP) balance control in wind-photovoltaic-storage (WPS) power systems, particularly in regions with a high proportion of renewable energy (RE) units. The goal is to effectively manage the
Externí odkaz:
https://doaj.org/article/df342f1748bb4df89acf374b3f60300e
Publikováno v:
Transactions on Cryptographic Hardware and Embedded Systems, Vol 2024, Iss 4 (2024)
In side-channel analysis of public-key algorithms, we usually classify operations based on the differences in power traces produced by different basic operations (such as modular square or modular multiplication) to recover secret information like pr
Externí odkaz:
https://doaj.org/article/730692a7ead94d89bb7d89f05ed9e2d5
Tangle- and contact-free path planning for a tethered mobile robot using deep reinforcement learning
Autor:
Ryuki Shimada, Genya Ishigami
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
This paper presents a tangle- and contact-free path planning (TCFPP) for a mobile robot attached to a base station with a finite-length cable. This type of robot, called a tethered mobile robot, can endure long-time exploration with a continuous powe
Externí odkaz:
https://doaj.org/article/5e7827ae84794619b29b9b78815cb8fe
Publikováno v:
Energy and AI, Vol 17, Iss , Pp 100367- (2024)
In this paper, a dual deep Q-network (DDQN) energy management model based on long-short memory neural network (LSTM) speed prediction is proposed under the model predictive control (MPC) framework. The initial learning rate and neuron dropout probabi
Externí odkaz:
https://doaj.org/article/06fd5282c6f1404d9d2afa8c84711327
Publikováno v:
Journal of Intelligent and Connected Vehicles, Vol 7, Iss 1, Pp 64-77 (2024)
As the proliferation and development of automated container terminal continue, the issues of efficiency and safety become increasingly significant. The container yard is one of the most crucial cargo distribution centers in a terminal. Automated Guid
Externí odkaz:
https://doaj.org/article/ffdcd903e9b041a5883fb18122e64b53