UAVs's efficient controlled mobility management for mobile heterogeneous wireless sensor networks by Lyamine Guezouli, Kamel Barka, Asma Djehiche

“…According to experiments, the proposed deterministic and genetic methods can efficiently deal with the complexity of Mobile Heterogeneous WSNs compared to the previously applied random strategies. …”
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Reinforcement Learning-Driven Secrecy Energy Efficiency Maximization in RIS-Enabled Communication Systems by Akram Y. Sarhan, Osamah A. Abdullah, Hayder Al-Hraishawi, Faisal S. Alsubaei

“…Our extensive simulations show that our method works much better than current techniques using deterministic policy gradients, like the proximal policy optimization (PPO) framework, in improving SEE. …”
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Implementing Low Latency and High Energy Efficiency Task Scheduling in MEC Systems Using Improved DDPG Algorithm by Lihong Zhao, Xiaomei Ding, Shuqin Wang

“…This paper presented a method that improves the Deep Deterministic Policy Gradient (DDPG) algorithm for better performance in MEC systems. …”
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DEVELOPING A CONTROLLER FOR AN ADAPTIVE CRUISE CONTROL (ACC) SYSTEM: UTILIZING DEEP REINFORCEMENT LEARNING (DRL) APPROACH by Ali RIZEHVANDI, Shahram AZADI

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Efficient Finite-Difference Estimation of Second-Order Parametric Sensitivities for Stochastic Discrete Biochemical Systems by Fauzia Jabeen, Silvana Ilie

“…Sensitivity analysis is an important method for studying the influence of the variations in various parameters on the output of a biochemical model. …”
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Hybrid Fuzzy–DDPG Approach for Efficient MPPT in Partially Shaded Photovoltaic Panels by Diana Ortiz-Munoz, David Luviano-Cruz, Luis A. Perez-Dominguez, Alma G. Rodriguez-Ramirez, Francesco Garcia-Luna

“…The proposed algorithm is evaluated in a simulated PV environment under various shading scenarios and benchmarked against conventional Perturb and Observe P&O and IC methods. Experimental results demonstrate that the Fuzzy–DDPG approach outperforms these classical techniques by achieving a higher tracking efficiency of 95%, compared to 85% for P&O and 88% for IC in average, while also minimizing steady-state oscillations. …”
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Deterministic Quantum Dense Coding Based on Non-Maximal Entangled Channel by Xuanxuan Xin, Zhixing Li, Zhen Wang

“…Our scheme represents a substantial improvement over existing probabilistic methods and paves the way for more efficient quantum communication protocols.…”
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Deterministic nanoantenna array design for stable plasmon-enhanced harmonic generation by Jeong Tae-In, Oh Dong Kyo, Kim San, Park Jongkyoon, Kim Yeseul, Mun Jungho, Kim Kyujung, Chew Soo Hoon, Rho Junsuk, Kim Seungchul

“…This spatial beam inhomogeneity can cause power instability of the emitted harmonics when the lateral beam position is not stable which we observed in plasmon-enhanced third-harmonic generation (THG). Hence, we propose a method for deterministically designing the density of a nanoantenna array to decrease the instability of the beam position-dependent THG yield. …”
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Transforming user story definition: From deterministic to AI-powered automation by Andra-Paula AVASILOAIE, Augustin SEMENESCU, Eduard-Cristian POPOVICI, Ionuț-Cosmin CHIVA

“…Despite its efficiency, the deterministic tool lacked adaptability across different domains. …”
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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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BIT*+TD3 Hybrid Algorithm for Energy-Efficient Path Planning of Unmanned Surface Vehicles in Complex Inland Waterways by Yunze Xie, Yiping Ma, Yiming Cheng, Zhiqian Li, Xiaoyu Liu

“…This research proposes a hybrid path planning framework for intelligent inland waterway Unmanned Surface Vehicles (USVs), which integrates the enhanced BIT* (Batch Informed Trees) algorithm with the TD3 (Twin Delayed Deep Deterministic Policy Gradient) deep reinforcement learning method. …”
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Fast and Deterministic Underwater Point Cloud Registration for Multibeam Echo Sounder Data by Liang Zhao, Lan Cheng, Tingfeng Tan, Chun Cao, Feihu Zhang

“…Given the prevalence of outliers and noise in underwater acoustic measurements, the BnB method is employed to provide globally deterministic solutions. …”
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AI-assisted super-resolution cosmological simulations IV: An emulator for deterministic realizations by Xiaowen Zhang, Patrick Lachance, Ankita Dasgupta, Rupert A. C. Croft, Tiziana Di Matteo, Yueying Ni, Simeon Bird, Yin Li

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OPERATIONAL ANALYSIS OF COMPLEX MEDICAL STATES BY PHOTONICS METHODS by A. I. Larkin, K. A. Trukhanov

“…Such an analysis is carried out by the means of vector-matrix multiplication using laser photonics methods. It is significant that with the widening of the range of probability algorithms, it is possible to preserve certain advantages of the holographic method: multidimensionality, efficiency, high information capacity and speed, visibility and flexibility of the result presentation. …”
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A DRL-based optimization method for microgrid operation by ZENG Lei, DING Quan, CHEN Xiaoyu, YUE Xianya

“…Third， a penalty term for high-proportion erroneous actions is incorporated into the reward function to constrain the output of each device within a reasonable range， mitigating the risk of insufficient safety guarantees inherent in reinforcement learning methods. Finally， simulation results demonstrate that， compared to the deep deterministic policy gradient （DDPG） algorithm， the proposed method achieves superior economic efficiency and stability， with economic costs closer to those of ideal deterministic optimization methods.…”
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Cumulative Distribution-Based Method for Pavement Performance Modeling by Chenhao Tu, Wenya Ye, Rui Zhang, Xudong Qian, Qun Yang

“…Recognizing the limitations of the above two methods, this paper proposes a cumulative distribution-based technique for developing pavement performance prediction models. …”
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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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The CADIS-DXTRAN method in NECP-MCX for Radiation Shielding Simulations by Huang Zhanpeng, Cao Liangzhi, He Qingming, Wu Hongchun

“…This paper discusses the implementation of the Consistent Adjoint-Driven Importance Sampling-Deterministic Transport (CADISDXTRAN) method in NECP-MCX to speed up Monte Carlo simulations for neutron radiation shielding applications. …”
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