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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AccFIT-IDS: accuracy-based feature inclusion technique for intrusion detection system by C. Rajathi, P. Rukmani

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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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Double Critics and Double Actors Deep Deterministic Policy Gradient for Mobile Robot Navigation Using Adaptive Parameter Space Noise and Parallel Experience Replay by Wenjie Hu, Ye Zhou, Hann Woei Ho, Chun Zhang

“…This opens up new possibilities for improving the efficiency and effectiveness of other DRL methods.…”
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A Comparative Study Between Soft Actor-Critic (SAC) and Deep Deterministic Policy Gradient (DDPG) Algorithms for Solar PV MPPT Control Under Partial Shading Conditions by Sampson E. Nwachukwu, Komla A. Folly, Kehinde O. Awodele

“…Simulation results show that SAC and DDPG algorithms outperform the P&O method under PSCs and varying irradiance levels. It is shown that the SAC algorithm exhibits superior performance, achieving high tracking efficiency and eliminating power oscillations near the PV MPP and GMPP compared to the DDPG method.…”
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An Improved Parameter Extraction Optimization Algorithm for RF Devices by Shengsen Yang, Zihan Xu, Kun Ren

“…It effectively addresses the limitations of deterministic algorithms in RF device parameter extraction optimization, such as low efficiency, sensitivity to initial values, and unstable convergence. …”
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DetNet service share protection scheme based on SRv6 by Shuopeng LI, Juan FANG, Ken CHEN

“…To solve the problem that existing methods are difficult to achieve efficient deployment and service protection in deterministic network (DetNet), a DetNet service protection architecture based on SRv6 was proposed.By leveraging this architecture, a service-oriented DetNet protection scheme was designed and the share protection policy was formulated.With the aid of backup bandwidth share, the proposed heuristic based on shortest path optimized network resource utilization and delay.The simulation results show that the share protection algorithm achieves better performance than non-share algorithm.…”
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Optimization of Parameters of a Vertical Ground Heat Exchanger in a Geothermal Heating System by Walery Jezierski, Piotr Rynkowski

“…Only factor <i>T</i>_w (<i>X</i>₄), with such a change, caused a decrease in the thermal efficiency of the tested heat exchanger by 44.22%. The parameters of the tested element of the geothermal heating system were also optimized according to the energy criterion using a numerical method in the Matlab environment. …”
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Robust Adaptive Fractional-Order PID Controller Design for High-Power DC-DC Dual Active Bridge Converter Enhanced Using Multi-Agent Deep Deterministic Policy Gradient Algorithm for... by Seyyed Morteza Ghamari, Daryoush Habibi, Asma Aziz

“…Meanwhile, finding the best initial gains in the RL structure can decrease the overall efficiency and tracking performance of the controller. …”
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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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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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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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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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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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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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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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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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