More bang for your buck: potential gains through optimizing maize breeding schemes in sub-Saharan Africa by Davison Chaingeni, Ronica Mukaro, Clay Sneller, Jill E. Cairns, Lennin Musundire, Biswanath Das, Olivia Odiyo, Sammy Madahana, Purity Mazibuko, Washington Mubvereki, Boddupali M. Prasanna, Dumisani Kutywayo

“…Our results highlight how a simple deterministic model can identify steps to greatly improve breeding efficiency within resource-constrained breeding programs.…”
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An Under-Sampled Line Array Element Signal Reconstruction Method Based on Compressed Sensing Theory by Tongjing SUN, Mengwei ZHOU, Lei CHEN

“…This method is not limited by the array configuration and constructs a deterministic measurement matrix that satisfies the restricted isometry property (RIP). …”
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Distributed Unmanned Aerial Vehicle Cluster Testing Method Based on Deep Reinforcement Learning by Dong Li, Panfei Yang

“…In the process of the collaborative work of Unmanned Aerial Vehicle (UAV) clusters, the cluster communication node test is often carried out by a single-node test, which leads to poor topology and robustness of the overall network system, an imbalanced communication network load, and high complexity of the communication test, which seriously affects the diversified needs of current users and the efficiency of large-scale task processing. To solve this problem, a distributed method for UAV cluster testing, called UTDR (distributed UAV cluster Testing method by using Deep Reinforcement learning), based on the Deep Deterministic Policy Gradient (DDPG) is proposed in this work. …”
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Efficient TD3 based path planning of mobile robot in dynamic environments using prioritized experience replay and LSTM by Yunhan Lin, Zhijie Zhang, Yijian Tan, Hao Fu, Huasong Min

“…Abstract To address the challenges of sample utilization efficiency and managing temporal dependencies, this paper proposes an efficient path planning method for mobile robot in dynamic environments based on an improved twin delayed deep deterministic policy gradient (TD3) algorithm. …”
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Autonomous decision-making method of unmanned ship based on improved DDPG algorithm by Wei GUAN, Shuhui HAO, Zhewen CUI, Miaomiao WANG

“…ObjectivesTo enhance the safety and efficiency of maritime traffic, this paper proposes an autonomous collision avoidance decision-making method for unmanned ships based on an enhanced Deep Deterministic Policy Gradient (DDPG) algorithm. …”
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An Efficient Uncertainty-Driven Learning for Stochastic Super-Resolution by Daeyoung Han, Seongmin Hwang, Hoyeon Ahn, Moongu Jeon

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Efficient fibre-pigtailed source of indistinguishable single photons by Nico Margaria, Florian Pastier, Thinhinane Bennour, Marie Billard, Edouard Ivanov, William Hease, Petr Stepanov, Albert F. Adiyatullin, Raksha Singla, Mathias Pont, Maxime Descampeaux, Alice Bernard, Anton Pishchagin, Martina Morassi, Aristide Lemaître, Thomas Volz, Valérian Giesz, Niccolo Somaschi, Nicolas Maring, Sébastien Boissier, Thi Huong Au, Pascale Senellart

“…Here we report on a method for the fibre-pigtailing of deterministically fabricated single-photon sources. …”
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Research on Fast Spectrum Resonance Calculation Method Based on Subgroup Method by YU Rongjun, ZHAO Shouzhi, YANG Rui, SONG Yingyun, ZHANG Chong, HUO Xingkai

“…With the rapid development of digital technology and the rapid improvement of computer performance, the high-fidelity deterministic transport calculation method represented by the method of characteristics (MOC) has received extensive attention in numerical reactor projects at home and abroad. …”
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APPLICATION OF ITERATIVE DYNAMIC PROGRAMMING TO OPTIMAL FEED-BACK CONTROL PROBLEM by A. V. Panteleev, D. A. Rodionova

“…Efficiency of proposed method is tested on the software complex developed by the authors in C++; a model example of chemical process control is presented.…”
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A Scheduling Model in Capturing Methane Gas from Methane Clathrates Deposits by Anyanwu U. O., Okafor O. C., Nkwor C. A.

“…The execution of any project type, especially engineering-based projects, is usually time-based, efficiency-driven, and cost-effective. These factors are the deterministic parameters that engineer successful project completion. …”
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Efficient Equivalence Checking Technique for Some Classes of Finite-State Machines by Vladimir A. Zakharov

“…By means of the developed approach an efficient equivalence checking algorithm for the class of simple grammars corresponding to deterministic single-state pushdown automata is constructed.…”
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Developing an efficient algorithm for robust school bus routing with heterogeneous fleet by Mohamad Ali Movafaghpour

“…The main advantage of this method over other present robust optimization methods is its emphasis on maintaining the feasibility of the optimal solution when dealing with the most diverse set of uncertainty scenarios while keeping the computational effort needed as low as desired.…”
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Multi-party efficient audit mechanism for data integrity based on blockchain by Jiashun ZHOU, Na WANG, Xuehui DU

“…A blockchain-based data integrity multi-party high-efficiency audit mechanism (MBE-ADI) for the big data environment was proposed.A hybrid Merkle DAG structure based on data domain was built to organize data, and realized the simultaneous verification of a large number of unstructured data in the big data environment.In order to deal with the problem of large amount of data in the big data environment, a multi copy deterministic verification method based on BLS signature was designed to realize the efficient verification of data integrity supporting multiple copies.A dual verification audit architecture based on consortium blockchain was designed to realize decentralized automatic audit and audit history credible traceability.At the same time, data integrity verification services were provided for data owners and data users to realize reliable acquisition of data.The test proves the feasibility of the system and the efficiency of data integrity audit.…”
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Comparison of the Efficiency of Overcoming the Crisis of Russian and Foreign Oil and Gas Companies by I. V. Filimonova, A. V. Komarova, A. A. Angarov, A. Yu. Novikov

“…The subject of the study is the methods of deterministic factor analysis for assessing indicators in the oil and gas sector. …”
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Spectral Efficiency of Wireless Relay Network in Frequency Non-Selective Channel by E. A. Mavrychev, E. N. Pribludova, S. B. Sidorov

“…In the paper, optimization of spatial processing with different a priori channel state information (i.e. instantaneous channel state information and the second order statistics) have been considered.Aim. Spectral efficiency analysis of a relay network in a multipath channel where the relay network was optimized by using of two types a priori information: an instantaneous channel state information and second order statistics.Materials and methods. …”
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Deterministic Aided STAP for Target Detection in Heterogeneous Situations by J.-F. Degurse, L. Savy, S. Marcos, J.-Ph. Molinié

“…We propose two algorithms that use deterministic aided STAP to overcome this issue of the single dataset APES method. …”
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Efficient preparation of the AKLT State with Measurement-based Imaginary Time Evolution by Tianqi Chen, Tim Byrnes

“…In this article, we propose a method to prepare the ground state of the Affleck-Lieb-Kennedy-Tasaki (AKLT) model deterministically using a measurement-based imaginary time evolution (MITE) approach. …”
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Research of efficiency of the algorithms for finding solutions based on the use of functional semantic networks by Mironova M.N.

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An Efficient Procedure for Inserting Buffers to Generate Robust Berth Plans in Container Terminals by Yangcan Wu, Lixin Miao

“…Such a method is highly versatile and compatible with various solutions to berth allocation problem with different objectives. …”
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Evaluating the Efficiency of Nature-Inspired Algorithms for Finite Element Optimization in the ANSYS Environment by Antonino Cirello, Tommaso Ingrassia, Antonio Mancuso, Giuseppe Marannano, Agostino Igor Mirulla, Vito Ricotta

“…Nature-inspired metaheuristics have proven effective for addressing complex structural optimization challenges where traditional deterministic or gradient-based methods often fall short. …”
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