Multi robot exploration using an advanced multi-objective salp swarm algorithm for efficient coverage and performance by Ali El Romeh, Seyedali Mirjalili

“…AMET combines the deterministic structure of Coordinated Multi-Robot Exploration (CME) with the adaptive search capabilities of the Multi-Objective Salp Swarm Algorithm (MSSA) to achieve a balanced trade-off between exploration efficiency and mapping accuracy. …”
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EADRL: Efficiency-aware adaptive deep reinforcement learning for dynamic task scheduling in edge-cloud environments by J. Anand, B. Karthikeyan

“…Experimental evaluations demonstrate that EADRL achieves significant improvements over existing benchmark methods, including DRL-based approaches such as Double DQN (DDQN), Deep Deterministic Policy Gradient (DDPG), and Server Real-Time Performance Deep Reinforcement Learning (SRP-DRL), as well as heuristic-based methods like Best-Fit, Random, and Earliest Idle Time First (EITF). …”
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Disrupted topologic efficiency of white matter structural connectome in migraine: a graph-based connectomics study by Yanliang Mei, Dong Qiu, Zhonghua Xiong, Xiaoshuang Li, Peng Zhang, Mantian Zhang, Xue Zhang, Yaqing Zhang, Xueying Yu, Zhaoli Ge, Zhe Wang, Binbin Sui, Yonggang Wang, Hefei Tang

“…However, there is a paucity of research employing graph theory analysis to explore changes in the whole brain structural networks in patients with CM and EM. Methods The individual structural brain connectome of 60 patients with CM, 34 patients with EM, and 39 healthy control participants were constructed by using deterministic diffusion-tensor tractography. …”
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Cumulative Distribution-Based Method for Pavement Performance Modeling by Chenhao Tu, Wenya Ye, Rui Zhang, Xudong Qian, Qun Yang

“…Predicting future pavement conditions accurately and efficiently helps determine the optimal maintenance time, select appropriate measures, and allocate rehabilitation funds effectively. …”
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Secure THz Communication in 6G: A Two-Stage DRL Approach for IRS-Assisted NOMA by Muhammad Shahwar, Manzoor Ahmed, Touseef Hussain, Muhammad Sheraz, Wali Ullah Khan, Teong Chee Chuah

“…Utilizing the deep deterministic policy gradient (DDPG) algorithm, we introduce a two-stage policy learning approach designed to optimize secrecy energy efficiency (SEE) while ensuring secure communication, even in the presence of multiple eavesdroppers (Eves). …”
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A novel discontinuous-Galerkin deterministic neutronics model for fusion applications: development and benchmarking by Timo J. Bogaarts, Felix Warmer

“…Fast predictive neutronic capabilities are therefore crucial for an efficient design process. For this purpose, we have developed a new deterministic neutronics method, capable of quickly and accurately assessing the neutron response of a fusion reactor, even in three-dimensional geometry. …”
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Deterministic Trajectory Design and Attitude Maneuvers of Gradient-Index Solar Sail in Interplanetary Transfers by Marco Bassetto, Giovanni Mengali, Alessandro A. Quarta

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PATH PLANNING AND OBSTACLE AVOIDANCE METHODS FOR AUTONOMOUS MOBILE ROBOTS by Ihor Berizka

“…In the field, these approaches are divided into classical or deterministic and non-deterministic or heuristic methods. …”
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Linearized MILP Model With Improved Soft Actor-Critic Algorithm for Dynamic and Efficient Active Distribution Network Planning by Jinlin Liao, Guilian Wu, Jia Lin

“…Finally, the feasibility and efficiency of the proposed method are verified by comparing the proposed MILP model and the traditional nonlinear planning model for distributed networks through multi-scenario case analysis. …”
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Highly durable and energy‐efficient probabilistic bits based on h‐BN/SnS2 interface for integer factorization by Joon‐Kyu Han, Jun‐Young Park, Shania Rehman, Muhammad Farooq Khan, Moon‐Seok Kim, Sungho Kim

“…Recent advancements in probabilistic computing approaches have demonstrated significant potential for addressing these problems more efficiently than conventional deterministic computing methods. …”
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The CADIS-DXTRAN method in NECP-MCX for Radiation Shielding Simulations by Huang Zhanpeng, Cao Liangzhi, He Qingming, Wu Hongchun

“…The results of the labyrinth problem reveal that the CADIS-DXTRAN method is highly efficient with a Figure of Merit (FOM) value 45 times that of DXTRAN and 17 times that of the CADIS method. …”
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Scenario Grouping and Classification Methodology for Postprocessing of Data Generated by Integrated Deterministic-Probabilistic Safety Analysis by Sergey Galushin, Pavel Kudinov

“…Integrated Deterministic-Probabilistic Safety Assessment (IDPSA) combines deterministic model of a nuclear power plant with a method for exploration of the uncertainty space. …”
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Photon transport in bimodal atom-cavity systems with waveguide coupling: Application to deterministic photon subtraction by Abdolreza Pasharavesh, Michal Bajcsy

“…Subsequent analysis combines the input-output formalism with the quantum trajectory method to numerically verify the analytical findings as well as to assess the impact of photon number of the input pulse on the subtractor's performance. …”
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Deterministic quantum dot cavity placement using hyperspectral imaging with high spatial accuracy and precision by Quirin Buchinger, Constantin Krause, Aileen Zhang, Giora Peniakov, Mohamed Helal, Yorick Reum, Andreas Theo Pfenning, Sven Höfling, Tobias Huber-Loyola

“…Here we show a method to achieve high accuracy and precision for deterministically placed cavities on the example of circular Bragg gratings on randomly distributed semiconductor quantum dots. …”
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Study on incentive mechanism of reward and punishment on work efficiency of PCB welder based on recurrence quantification analysis and electroencephalogram signals by Zhang Qian, Mingyue Guo, Fuwang Wang

“…By comparing the EEG signals of workers with and without reward and punishment incentives (control group vs. experimental group), key features such as deterministic (DET) and average diagonal line length (DLL) are extracted to reveal how incentives regulate work efficiency. …”
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Assessment of Transmission Reliability Margin: Existing Methods and Challenges and Future Prospects by Uchenna Emmanuel Edeh, Tek Tjing Lie, Md Apel Mahmud

“…A key factor in ATC determination, the Transmission Reliability Margin (TRM), accounts for uncertainties like load variations, generation fluctuations, and network dynamics. The traditional deterministic TRM methods often fail to capture the stochastic nature of modern grids, leading to inaccurate estimations. …”
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Research on Random Discrete Ordinates Method Based on Quasi-Monte Carlo Integration Technique by DAI Tao, XU Longfei, LI Baiwen, SHEN Huayun, HU Yuan, MA Ruiyao

“…Owing to its superior computational accuracy and efficiency compared to alternative numerical approaches, the SN method has been extensively adopted in neutron transport applications, particularly in nuclear reactor design and radiation shielding optimization. …”

White Matter Fiber Tracking Method with Adaptive Correction of Tracking Direction by Qian Zheng, Kefu Guo, Yinghui Meng, Jiaofen Nan, Lin Xu

“…Background. The deterministic fiber tracking method has the advantage of high computational efficiency and good repeatability, making it suitable for the noninvasive estimation of brain structural connectivity in clinical fields. …”
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Research on Vehicle Path Planning Method with Time Windows in Uncertain Environments by Ying Cong, Kai Zhu

“…Two uncertainty models, based on the expected value and chance-constrained criteria, are developed, and their deterministic forms are derived using the inverse distribution method. …”
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Precise robust control method for charging manipulator considering dynamic disturbances by Sihua Liu, Xiaodong Zhu, Kai Kang, Li Wan, Yong Wang

“…Second, a single-joint Markov Decision Process (MDP) model was constructed, and a path dynamic planning method for the manipulator based on the back-propagation Deep Deterministic Policy Gradient (DDPG) was proposed. …”
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