Quantum circuits from non-unitary sparse binary matrices by Krishnageetha Karuppasamy, Varunteja Puram, K. M. George, Thomas P. Johnson

“…We demonstrate the utility of this transformation in constructing quantum gates and apply the method to model quantum finite state machines (QFSMs) derived from classical deterministic finite automata (DFAs). …”
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Synthesizing Sum and Difference Patterns with Low Complexity Feeding Network by Sharing Element Excitations by Jafar Ramadhan Mohammed

“…This property makes the proposed synthesizing method converge much faster than GA.…”
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Cost-effectiveness of Triple Therapy with Telaprevir for Chronic Hepatitis C Virus Patients in Germany by Jona T. Stahmeyer, Svenja Schauer, Siegbert Rossol, Hans Heinrich Wedemeyer, Daniel Wirth, Florence Bianic, Christian Krauth

“…Model structure and inputs were discussed with clinical experts. Deterministic and probabilistic sensitivity analyses were performed to verify the robustness of results…”
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A Deep Reinforcement Learning Framework for Adaptive Resiliency Enhancement in Smart Power Grids by Boyu Wang, Aliasghar Baziar, Mohammad Reza Askari

“…To overcome these limitations, we propose a deep reinforcement learning framework based on the Deep Deterministic Policy Gradient (DDPG) algorithm, optimized using the Root Mean Square Propagation (RMSprop) method for stable and efficient training. …”
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Multi-Energy Microgrid Data-Driven Distributionally Robust Optimization Dispatch Considering Uncertainty Correlation by LI Jiawei, SUN Qinghe, WANG Qiong, YE Yujian, HU Heng, ZHANG Xi

“…This transforms the distributionally robust model into a linear deterministic model，thereby enabling an efficient solution using optimization solvers. …”
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Robust Traffic Signal Retiming Based on Queue Service Time Estimation Using Low-Penetration Connected Vehicle Data by Chengchuan An, Weihua Zhang, Yinpu Wang, Siping Ke, Jingxin Xia

“…However, the existing methods are mostly deterministic and do not well consider the uncertainty in both traffic demand and capacity. …”
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An Improved Toeplitz Measurement Matrix for Compressive Sensing by Xu Su, Yin Hongpeng, Chai Yi, Xiong Yushu, Tan Xue

“…In this paper, Toeplitz matrix is employed and optimized as a deterministic measurement matrix. A hardware platform for signal efficient acquisition and reconstruction is built by field programmable gate arrays (FPGA). …”
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Degeneralization Algorithm for Generation of Büchi Automata Based on Contented Situation by Laixiang Shan, Jun Qin, Mingshi Chen, Zheng Qin

“…These ideas are implemented in a conversion algorithm used to build a property automaton corresponding to the given LTL formulae. We compare our method to previous work and show that it is more efficient for four sets of random formulae generated by LBTT.…”
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Bio-inspired cryptography based on proteinoid assemblies. by Panagiotis Mougkogiannis, Essam Ghadafi, Andrew Adamatzky

“…We present an innovative cryptographic technique inspired by the self-assembly processes of proteinoids-thermally stable proteins that form spontaneously under prebiotic conditions. By emulating the deterministic yet complex interactions within proteinoid assemblies, the proposed method generates secure encryption keys and algorithms. …”
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Time-Delayed Feedback Control in the Multiple Attractors Wind-Induced Vibration Energy Harvesting System by Qin Guo, Zhongkui Sun, Ying Zhang, Wei Xu

“…In the deterministic case, the time delay can control efficiently the birhythmic properties; thus one can realize a dividing line in the parameter plane that separates the space into two subspaces of generically distinct nature. …”
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A Novel Dynamic Lane-Changing Trajectory Planning Model for Automated Vehicles Based on Reinforcement Learning by Cenxin Yu, Anning Ni, Jing Luo, Jinghui Wang, Chunqin Zhang, Qinqin Chen, Yifeng Tu

“…This study develops a lane-changing model using the deep deterministic policy gradient method, which can simultaneously control the lateral and longitudinal motions of the vehicle. …”
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A Stochastic -Coverage Scheduling Algorithm in Wireless Sensor Networks by Jiguo Yu, Shaohua Ren, Shengli Wan, Dongxiao Yu, Guanghui Wang

“…Coverage is one of the key issues to achieve energy efficiency of a wireless sensor network. Sensor scheduling is one of the most important methods to solve coverage problems. …”
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Local and global sensitivity analysis of key durability parameters of concrete under chloride environment by Lingjie Wu, Chengjian Yu, Fenfei Shi, Xuping Ni

“…By integrating the One-At-a-Time (OAT) method for local sensitivity analysis with the extended Fourier Amplitude Sensitivity Test (EFAST) and Sobol methods for global sensitivity analysis, a systematic evaluation is conducted to identify distinct influence mechanisms of these parameters under deterministic and time-dependent durability life prediction models. …”
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Non-Stationary Random Vibration of FE Structures Subjected to Moving Loads by F. Lu, D. Kennedy, F.W. Williams, J.H. Lin

“…An efficient and accurate FEM based method is proposed for studying non-stationary random vibration of structures subjected to moving loads. …”
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Building Energy Optimization Using an Improved Exponential Distribution Optimizer Based on Golden Sine Strategy Minimizing Energy Consumption Under Uncertainty by Mohammad Ali Karbasforoushha, Mohammad Khajehzadeh, Suraparb Keawsawasvong, Lapyote Prasittisopin, Thira Jearsiripongkul

“…The conventional Exponential distribution optimizer (EDO) is improved using the Golden sine strategy to boost search process efficiency and reduce the probability of getting trapped in local optima. …”
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Quality of Experience Optimization for AR Service in an MEC Federation System by Huong Mai do, Tuan Phong Tran, Myungsik Yoo

“…We propose an improved deep deterministic policy gradient algorithm for efficient solution exploration. …”
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Longitudinal Hierarchical Control of Autonomous Vehicle Based on Deep Reinforcement Learning and PID Algorithm by Jialu Ma, Pingping Zhang, Yixian Li, Yuhang Gao, Jiandong Zhao

“…A hierarchical longitudinal control system that integrates deep deterministic policy gradient (DDPG) and proportional–integral–derivative (PID) control algorithms was proposed in this paper to ensure safe and efficient vehicle operation. …”
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Geological modeling of carbonate fracture-cavity reservoir: case study of Shunbei fault zone No. 5 by Bolin Li, Yunfeng He, Wen Chen, Haojie Shang, Lixin Wang

“…First, deterministic modeling methods were employed to establish fault-controlled body contour models through seismic attribute fusion (structure tensor, energy gradient, and variance attributes) calibrated with well-log data. …”
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Optimal Design of Interior Permanent Magnet Synchronous Motor Considering Various Sources of Uncertainty by Giacomo Guidotti, Dario Barri, Federico Soresini, Massimiliano Gobbi

“…Finally, the results of the robust optimization are compared with those of the deterministic optimization. Due to the small margin of improvement in robustness, both methods lead to similar results.…”
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Modeling and Forecasting Electricity Demand and Prices: A Comparison of Alternative Approaches by Ismail Shah, Hasnain Iftikhar, Sajid Ali

“…Thus, the main aim of this study is to propose models that can efficiently forecast electricity demand and prices. …”
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