Results 1 to 10 of about 149,503 (282)
An Energy-Efficient Routing Algorithm Based on Greedy Strategy for Energy Harvesting Wireless Sensor Networks [PDF]
Sensors, 2022 Energy harvesting wireless sensor network (EH-WSN) is considered to be one of the key enabling technologies for the internet of things (IoT) construction.
Sheng Hao, Yong Hong, Yu He
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Community detection with Greedy Modularity disassembly strategy
Scientific Reports, 2023 Community detection recognizes groups of densely connected nodes across networks, one of the fundamental procedures in network analysis. This research boosts the standard but locally optimized Greedy Modularity algorithm for community detection.
Heru Cahya Rustamaji +3 more
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Structure Optimization for Large Gene Networks Based on Greedy Strategy. [PDF]
Comput Math Methods Med, 2018 In the last few years, gene networks have become one of most important tools to model biological processes. Among other utilities, these networks visually show biological relationships between genes. However, due to the large amount of the currently generated genetic data, their size has grown to the point of being unmanageable.
Gómez-Vela F +2 more
europepmc +3 more sources
Bounding the Greedy Strategy in Finite-Horizon String Optimization [PDF]
2015 54th IEEE Conference on Decision and Control (CDC), 2016 We consider an optimization problem where the decision variable is a string of bounded length. For some time there has been an interest in bounding the performance of the greedy strategy for this problem.
Chong, Edwin K. P. +2 more
core +2 more sources
Robust Tensor Analysis with Non-Greedy L1-Norm Maximization [PDF]
Radioengineering, 2016 The L1-norm based tensor analysis (TPCA-L1) is recently proposed for dimensionality reduction and feature extraction. However, a greedy strategy was utilized for solving the L1-norm maximization problem, which makes it prone to being stuck in local ...
L. Zhao, W. Jia, R. Wang, Q. Yu
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Playing the SOS Game Using Feasible Greedy Strategy
CommIT Journal, 2020 The research aims to make an intelligent agent that can compete against the human player. In this research, the feasible greedy strategy is proposed to make an intelligent agent by checking all possible solutions in the limited tree levels to find ...
Abas Setiawan
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Submodular optimization problems and greedy strategies: A survey [PDF]
Discrete Event Dynamic Systems, 2020 The greedy strategy is an approximation algorithm to solve optimization problems arising in decision making with multiple actions. How good is the greedy strategy compared to the optimal solution? In this survey, we mainly consider two classes of optimization problems where the objective function is submodular. The first is set submodular optimization,
Yajing Liu +3 more
openaire +2 more sources
Participant Selection Strategies Based on Crowd Sensing for River Environmental Monitoring [PDF]
Jisuanji kexue, 2022 The surrounding environment of rivers in city is often damaged and polluted.How to effectively monitor rivers has gradually attracted the attention of public,government and academia.At present,traditional monitoring methods are facing with high cost ...
LI Xiao-dong, YU Zhi-yong, HUANG Fang-wan, ZHU Wei-ping, TU Chun-yu, ZHENG Wei-nan
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Journal of Innovative Optical Health Sciences, 2023 Bioluminescence tomography (BLT) is a promising imaging modality that can provide noninvasive three-dimensional visualization information on tumor distribution.
Ying Liu +4 more
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Drones, 2023 This paper proposes a random tree algorithm based on a potential field oriented greedy strategy for the path planning of unmanned aerial vehicles (UAVs).
Tai Huang +4 more
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