Results 161 to 170 of about 65,434 (314)
Advanced Intelligent Systems, EarlyView.This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Optimization of Heuristic Algorithms for Improving BER of Adaptive Turbo Codes [PDF]
, 2019 Suman Kothakonda
openalex
Enhancing the A Algorithm for Efficient Route Planning in Agricultural Environments with a Hybrid Heuristic Approach and Path Smoothing* [PDF]
Antonios Chatzisavvas, Minas Dasygenis
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Advanced Intelligent Systems, EarlyView.This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
A Variational Qubit-Efficient MaxCut Heuristic Algorithm
npj Quantum InformationMaxCut is a key NP-hard combinatorial optimization problem. Quantum computing offers methods to solve such problems potentially better than classical counterparts, with the Quantum Approximate Optimization Algorithm (QAOA) being a state-of-the-art ...
Yovav Tene-Cohen +3 more
doaj +1 more source
A Heuristic Feature Selection Approach for Text Categorization by Using Chaos Optimization and Genetic Algorithm [PDF]
, 2013 Hao Chen, Wen Jiang, Canbing Li, Rui Li
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Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
Advanced Intelligent Systems, EarlyView.We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards +2 more
wiley +1 more source
In-situ efficiency estimation of induction motors under unbalanced voltages using heuristic optimization algorithms [PDF]
Murat GÖZTAŞ, Mehmet Çunkaş
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The Heuristic algorithm for flow shop scheduling problem with TET objective
, 2020 G. Vasudevan, S. Jayakumar
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