Optimizing HVAC&R System Efficiency and Comfort Levels Using Machine Learning-Based Control Methods by Suroor M. Dawood, Raad Z. Homod, Alireza Hatami

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Deterministic Calculation Method for Continuous-energy Neutron Transport Equation in No-resonance Energy-range by LIU Haopo, LI Yunzhao, WU Hongchun, CAO Liangzhi

“…Although the probabilistic method could be calculated based on the continuous energy library, the computational efficiency could not meet the needs of large-scale engineering calculations. …”

Efficient Deterministic Anchor Deployment for Sensor Network Positioning by Yongle Chen, Ci Chen, Hongsong Zhu, Limin Sun

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Experimental and Simulative Investigation of Deterministic Lateral Displacement and Dielectrophoresis Methods for Continuous Multi-Property Particle Sorting by Jonathan Kottmeier, Maike Sophie Wullenweber, Zhen Liu, Ingo Kampen, Arno Kwade, Andreas Dietzel

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Fast-Charging Optimization Method for Lithium-Ion Battery Packs Based on Deep Deterministic Policy Gradient Algorithm by Zhi Zhang, Taijun Guo, Yefeng Liu, Xinfu Pang, Zedong Zheng

“…Furthermore, compared to the basic DDPG method, the proposed algorithm shows a clear advantage in charging efficiency.…”
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AN EFFICIENT SPEECH GENERATIVE MODEL BASED ON DETERMINISTIC/STOCHASTIC SEPARATION OF SPECTRAL ENVELOPES by M. Taha, E. S. Azarov, D. S. Likhachov, A. A. Petrovsky

“…The paper presents a speech generative model that provides an efficient way of generating speech waveform from its amplitude spectral envelopes. …”
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Deterministic Neutronics Calculation Method of Small Lead-cooled Reactor Based on Venus-Ⅱ Criticality Experimental Facility and Its Verification by YANG Yichen1, ZHENG Youqi1, ZHU Qingfu2, ZHOU Qi2, NING Tong2

“…Compared with the traditional fast reactor, the core neutron energy spectrum of SLR brings challenges to the traditional deterministic neutronics analysis methods, which are more complex and the core geometry is special. …”
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Deep deterministic policy gradient-based energy efficiency optimization algorithm for CR-NOMA by ZHANG Yun

“…By jointly optimizing the transmission power and time slot splitting coefficient, the energy efficiency of sensor devices was improved. The energy efficiency optimization problem was modeled as a Markov decision process, and it was solved by the deep deterministic policy gradient (DDPG) method. …”
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Hybrid Deterministic Sensing Matrix for Compressed Drone SAR Imaging and Efficient Reconstruction of Subsurface Targets by Hwi-Jeong Jo, Heewoo Lee, Jihoon Choi, Wookyung Lee

“…Experimental results demonstrate the effective recovery of buried target images, highlighting the potential of the proposed method for practical applications in high-clutter environments.…”
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An Efficient Polynomial Chaos Method for Stiffness Analysis of Air Spring Considering Uncertainties by Feng Kong, Penghao Si, Shengwen Yin

“…Traditional methods for stiffness analysis of the air spring are based on deterministic assumption that the parameters are fixed. …”
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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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Recursive Objective Space Exploration (ROSE): A computationally efficient deterministic approach for bi-objective optimization. by Ihab Hashem, Viviane De Buck, Seppe Seghers, Jan Van Impe

“…These include a more computationally efficient method for solving bi-objective optimization problems, an adaptive representation of the Pareto front based on trade-offs, and intuitive, straightforward parameterization guided by a user-oriented, trade-offs based stopping criterion.…”
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Direct 3D Method of Characteristic Based on Efficient Characteristic Tracing and On-the-fly Generation by YU Rongjun, YANG Rui, HU Yun, ZHAO Shouzhi

“…The method of characteristics (MOC) is one of the excellent implementations of the next generation of neutronic deterministic calculations due to its powerful geometric processing capabilities and natural parallelism. …”

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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Enhancing cold storage efficiency: Continuous deep deterministic policy gradient approach to energy optimization utilizing strategic sensor input data by Jong-Whi Park, Young-Min Ju, Hak-Sung Kim

“…In this study, we present a continuous Deep Deterministic Policy Gradient (DDPG)-based control algorithm applied to extended-scale cold storage environments to optimize energy efficiency. …”
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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 Practical Bearing Failure Detection Method Using a New Efficient Deep Network With the Knowledge Self-Adaptive Evolution by Mengyu Ji, Lijun Chen, Yeming Yao, Xiaoping Wang, Cheng Chang, Yunan Zhou

“…In the proposed method, the reinforcement learning technique based on the deep deterministic policy gradient (DDPG) is employed to iteratively prune the network’s structure. …”
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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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