Results 31 to 40 of about 71,442 (256)

Optimizing UAV Task Allocation with Enhanced Battery Efficiency Using Semi-Markov Decision Processes

Journal of Intelligent and Robotic Systems
This study presents an innovative approach using Semi-Markov Decision Processes (SMDPs) for task allocation in Unmanned Aerial Vehicles (UAVs), specifically addressing the stochastic nature of battery levels.
Abraham De Alba, Alejandro Flores, Brenda García Maya, H. Abaunza   +3 more
semanticscholar   +1 more source

Undiscounted Semi-Markov Decision Processes with Countably Infinite Action Spaces

Algorithms
In this article, we study semi-Markov decision processes (SMDPs) under the limiting ratio average (undiscounted) pay-off criterion, where the state space is finite and the action space of the decision maker is possibly countably infinite.
Kushal Guha Bakshi, Sagnik Sinha, Ramakant Bhardwaj, Purvee Bhardwaj, Satyendra Narayan   +4 more
doaj   +1 more source

Discounted cost exponential semi-Markov decision processes with unbounded transition rates: a service rate control problem with impatient customers

Probability in the engineering and informational sciences (Print)
We focus on exponential semi-Markov decision processes with unbounded transition rates. We first provide several sufficient conditions under which the value iteration procedure converges to the optimal value function and optimal deterministic ...
Bora Çekyay
semanticscholar   +1 more source

A risk minimization problem for finite horizon semi-Markov decision processes with loss rates

, 2017
This paper deals with the risk probability for finite horizon semi-Markov decision processes with loss rates. The criterion to be minimized is the risk probability that the total loss incurred during a finite horizon exceed a loss level.
Qiuli Liu, Xiaolong Zou
semanticscholar   +1 more source

A safe reinforcement learning approach for autonomous navigation of mobile robots in dynamic environments

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract When deploying mobile robots in real‐world scenarios, such as airports, train stations, hospitals, and schools, collisions with pedestrians are intolerable and catastrophic. Motion safety becomes one of the most fundamental requirements for mobile robots.
Zhiqian Zhou, Junkai Ren, Zhiwen Zeng, Junhao Xiao, Xinglong Zhang, Xian Guo, Zongtan Zhou, Huimin Lu   +7 more
wiley   +1 more source

An Adaptive Scheduling Algorithm Integrating Hierarchical Reinforcement Learning and Semi-Markov Decision Processes

Applied Sciences
Coordinating multiple unmanned aerial vehicle (UAV) systems under strict energy and temporal constraints remains a complex scheduling problem. Existing reinforcement learning methods typically rely on fixed-time-step modeling, which struggles to ...
Feng Wang, Bingwei Ding, Fangchao Tian, Zhaohua Guo, Wenshuo Ma   +4 more
doaj   +1 more source

Customizing exponential semi-Markov decision processes under the discounted cost criterion

European Journal of Operational Research, 2018
The uniformization technique is a widely used method for establishing the existence of optimal policies with certain monotonicity properties. This technique converts a semi-Markov decision process with exponential sojourn times (ESMDP) into an equivalent
Bora Çekyay
semanticscholar   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

IET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel   +4 more
wiley   +1 more source

Learning Moisture‐Induced Damage From Vision: Diffusion Models for Real‐Time Monitoring of Additive Manufacturing Processes

Advanced Science, EarlyView.
We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung, Yuna Yoo, Dharneedar Ravichandran, Dahyun Daniel Lim, Grace X. Gu   +4 more
wiley   +1 more source