Design of a Multi-Layer Symmetric Encryption System Using Reversible Cellular Automata by George Cosmin Stănică, Petre Anghelescu

“…The increasing demand for secure and efficient encryption algorithms has intensified the exploration of alternative cryptographic solutions, including biologically inspired systems like cellular automata. …”
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Approach and Landing Aircraft Wake Encounter Risk Based on Reynolds-Averaged Navier-Stokes Numerical Simulation by Weijun Pan, Jingkai Wang, Yaxing Xu, Qianlan Jiang, Yuming Luo

“…The proposed algorithm identifies the area where the wake of the front aircraft can cause risks to the following aircraft and analyzes the evolution process of the hazard zone of the section where the decision height is located. …”
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Emotional recognition of EEG signals utilizing residual structure fusion in bi-directional LSTM by Yue Xu, Yunyuan Gao, Zhengnan Zhang, Shunlan Du

“…Furthermore, the algorithm attained an average accuracy of 0.9685 for quadruple classification. …”
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A parallel stereovision method used for monitoring the collapse of a three-story frame model subjected to seismic loading by Baohua Shan, Wenting Yuan, Hai Wang, Zhanxuan Zuo

“…This approach combines the efficient large-scale stereo matching algorithm and the digital image correlation approach to obtain three-dimensional displacement of structural vibration response. …”
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Increasing the Efficiency Factor of Solar Power Plants Due to Solar Energy Localizing by V. I. Mironchuk, A. A. Velchenko

“…The article presents an analysis of the state of development of solar energy in Europe and  the  Republic  of  Belarus  for 2020.  An algorithm for increasing the efficiency factor of  solar power plants by localizing the solar trajectory depending on the latitude and longitude of the area has been proposed. …”
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Modeling pegcetacoplan treatment effect for atrophic age-related macular degeneration with AI-based progression prediction by Irmela Mantel, Romina M. Lasagni Vitar, Sandro De Zanet

“…The algorithm output was a step-less individualized topographic modeling of the RORA growth, allowing for illustrating the progression line corresponding to an 80% growth compared to the natural course of 100% growth. …”
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A Novel on Energy Management Strategy with Maximum Exploitation of Renewables and EV Storage in Distribution Networks by K. Ramakrishna Reddy, C. H. Hussaian Basha, V. Prashanth, C. Dhanamjayulu, Sujata Shivashimpiger, R. Likhitha

“…A multiobjective genetic algorithm (MOGA) is employed to solve a formulated multiobjective optimization problem for load flattening and voltage regulation, with optimal power transaction (OPT) serving as the decision variable. …”
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A Two-Stage Chance Constrained Approach with Application to Stochastic Intermodal Service Network Design Problems by Yi Zhao, Qingwan Xue, Zhichao Cao, Xi Zhang

“…The proposed model is applied to a realistic intermodal sea-rail network, which demonstrates the performance of the model and algorithm as well as the influence of stochasticity on transportation plans. …”
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Design of Fully Automatic Drone Parachute System with Temperature Compensation Mechanism for Civilian and Military Applications by Basem AL-Madani, Marius Svirskis, Gintautas Narvydas, Rytis Maskeliūnas, Robertas Damaševičius

“…We developed the compensation algorithm for temperature-related accelerometer errors. …”
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Real-Time Incident-Responsive Signal Control Strategy under Partially Connected Vehicle Environment by Kancharla K. K. Chandan, Álvaro J. M. Seco, Ana M. C. Bastos Silva

“…All the 3 strategies were integrated into one algorithm, which runs as per the real-time traffic conditions, in the presence or absence of incidents. …”
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Distributed Compressed Video Sensing in Camera Sensor Networks by Yu Liu, Xuqi Zhu, Lin Zhang, Sung Ho Cho

“…In such scenarios, distributed compressed video sensing (DCVS), combining distributed video coding (DVC) and compressed sensing (CS), is developed as a novel and powerful signal-sensing and compression algorithm for video signals. In DCVS, video frames can be compressed to a few measurements in a separate manner, while the interframe correlation is explored by the joint recovery algorithm. …”
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Energy and Reserve Scheduling of Distribution Network in Presence of Electric Vehicle Aggregators: A Decentralized Approach by Atena Tazikeh Lemeski, Reza Ebrahimi, Alireza Zakariazadeh, Keyvan Firuzi

“…The proposed distributed algorithm is tested and evaluated on a standard distribution network consisting of AGG and DGs. …”
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Designing a Neural Observer to Estimate the State Variables of the Dynamical System of a Specific Class of Leukaemia by Yousef Farshidi, Reza Ghasemi, Aminin Sharafian Ardekani

“…In order to adjust the neural network weights, the error back propagation learning algorithm was implemented. First of all, in this algorithm, the system outputs are generated according to random weights. …”
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Is low‐rate distributed denial of service a great threat to the Internet? by Ming Chen, Jing Chen, Xianglin Wei, Bing Chen

“…Based on the analysis results, an LDDoS algorithm is presented. Then, an LDDoS validation prototype is built on a Network Function Virtualization network to validate the derived parameters and conditions. …”
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Retinal Fundus Image Registration via Vascular Structure Graph Matching by Kexin Deng, Jie Tian, Jian Zheng, Xing Zhang, Xiaoqian Dai, Min Xu

“…Finally, a revised ICP algorithm incorporating with quadratic transformation model is used at fine level to register vessel shape models. …”
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Wireless real-time monitoring based on triboelectric nanogenerator with artificial intelligence by Dexin Tang, Yuankai Zhou, Xin Cui, Yan Zhang

“…A RepNet-based wireless self-powered sensor system is designed by just two components with deep learning algorithm, which has simple structure and high accuracy even without integrated circuit. …”
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An Analysis of the Optimal Allocation of Core Human Resources in Family Enterprises Based on the Markov Model by Jinyang Cao

“…In addition, through data calculation and prediction, it is found that the prediction accuracy of the model algorithm is 81.37% on average. Compared with other model algorithms, the Markov model algorithm has the highest accuracy in predicting the state, and the accurate prediction results make the recruitment work predictable. …”
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Load frequency control in isolated island city microgrids using deep graph reinforcement learning considering extensive scenarios by Ping He, Xiongwei Huang, Ruobing He, Linkun Yuan

“…This algorithm leverages environmental data for interaction, aiming for optimal frequency management and economic operation of isolated urban microgrids. …”
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Varying parameterization of an ellipsoidal thin shell with FEM-based implementation by Yu. V. Klochkov, A. P. Nikolaev, O. V. Vakhnina, T. A. Sobolevskaya, A. Sh. Dzhabrailov, M. Yu. Klochkov

“…This article describes an algorithm developed for the finite element analysis of the stressstrain state of a shell that takes the shape of a triaxial ellipsoid with varying parameterization of its mid-surface. …”
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Optimization of Online Teaching Quality Evaluation Model Based on Hierarchical PSO-BP Neural Network by Luxin Jiang, Xiaohui Wang

“…The regression model is established through BP neural network, and the weight and threshold of the model are optimized by the particle swarm algorithm. Based on the online teaching quality evaluation model of BP neural network, the parameters of the model are constantly adjusted, the appropriate function is selected, and the particle swarm algorithm which is used in the training and learning process of the neural network is optimized. …”
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