Algorithms for Solving the Equilibrium Composition Model of Arc Plasma by Zhongyuan Chi, Yuzhang Ji, Ningning Liu, Tianchi Jiang, Xin Liu, Weijun Zhang

“…In the present study, the Homotopy Levenberg−Marquardt Algorithm (HLMA) and the Parameter Variation Levenberg–Marquardt Algorithm (PV–LMA), both developed in the context of high-temperature composition, are proposed to address the equilibrium composition model of plasma under the condition of local thermodynamic and chemical equilibrium. …”
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LMS Algorithm Step Size Adjustment for Fast Convergence by Dariusz BISMOR

“…This is probabely the cause of its main drawback: the need of a careful choice of the step size – which is the reason why so many variable step size flavors of the LMS algorithm has been developed. This paper contributes to both the above mentioned characteristics of the LMS algorithm. …”
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Segmentation of Brain Tumor Images Using Genetic Algorithms by Mohameed Nathem, Manar Kashmola, Dhuha Abdullah

“…In both approaches tumor location was determined approximately, as a result the genetic algorithm was succeeded in about 85% while the first algorithm determine 80% of tumor locations.…”
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Understanding the Impact of Algorithmic Discrimination on Unethical Consumer Behavior by Binbin Sun, Shan Pei, Qingjin Wang, Xuelei Meng

“…However, the role of algorithms in unethical consumer behavior, which is central to AI, is not yet fully understood. …”
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On Evaluation of Data Stream Clustering Algorithms: A Survey by Christian Nordahl, Veselka Boeva, Hakan Grahn, Marie Persson-Netz

“…However, minor additions to the evaluation methods can improve both the applicability and usefulness of the algorithms.…”
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Coevolutionary Algorithm with Bayes Theorem for Constrained Multiobjective Optimization by Shaoyu Zhao, Heming Jia, Yongchao Li, Qian Shi

“…The results show that the proposed algorithm outperforms the others in both convergence and diversity.…”
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A flexible generative algorithm for growing in silico placentas. by Diana C de Oliveira, Hani Cheikh Sleiman, Kelly Payette, Jana Hutter, Lisa Story, Joseph V Hajnal, Daniel C Alexander, Rebecca J Shipley, Paddy J Slator

“…We introduce a novel generative algorithm for creating in silico placentas, allowing user-controlled customisation of feto-placental vasculatures, both as individual components (placental shape, chorionic vessels, placentone) and as a complete structure. …”
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Maximum Doppler frequency estimation algorithm for OFDM systems by CAI Wei, ZHU Guang-xi, ZHANG Qing-chun, LI Li

“…Simulations have proved that this algorithm performs well both in single- and multi-path channel. …”
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Feature-based enhanced boosting algorithm for depression detection by Muhammad Sadiq Rohei, Kasturi Dewi Varathan, Shivakumara Palaiahnakote, Nor Badrul Anuar

“…However, both types of boosting algorithms struggle with the analysis of complex feature sets, the enhancement of weak learners, and the handling of larger datasets. …”
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Unidirectional-link detection algorithms in wireless sensor networks by SANG Jun-jun, SHI Sheng-fei, LI Jiang-zhong, XIONG Shu-guang

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High maneuvering target tracking ATPM-IMM algorithm by Hao ZENG, Wangqiang MU, Shunping YANG

“…For high maneuvering target tracking, the accuracy of tracking will degrade in common IMM algorithm due to the fixed transition probability matrix.Therefore, a new ATPM-IMM algorithm for high maneuvering target tracking was proposed, which could update the transition probability matrix adaptively.The proposed algorithm requires less prior information of model posterior probability and transition probability matrix, it is suitable for both high and weak maneuvering target tracking.Simulation results demonstrate that the filtering accuracy of the proposed algorithm is improved about 11% compared with the existing algorithms.…”
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High maneuvering target tracking ATPM-IMM algorithm by Hao ZENG, Wangqiang MU, Shunping YANG

“…For high maneuvering target tracking, the accuracy of tracking will degrade in common IMM algorithm due to the fixed transition probability matrix.Therefore, a new ATPM-IMM algorithm for high maneuvering target tracking was proposed, which could update the transition probability matrix adaptively.The proposed algorithm requires less prior information of model posterior probability and transition probability matrix, it is suitable for both high and weak maneuvering target tracking.Simulation results demonstrate that the filtering accuracy of the proposed algorithm is improved about 11% compared with the existing algorithms.…”
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A Cryptosystem for Database Security Based on TSFS Algorithm by Saad Abdulkareem Abdulameer, Ali Habeeb Kashmar, Ammar Ibraheem Shihab

“…Implementation of TSFS (Transposition, Substitution, Folding, and Shifting) algorithm as an encryption algorithm in database security had limitations in character set and the number of keys used. …”
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Modified Projection Algorithms for Solving the Split Equality Problems by Qiao-Li Dong, Songnian He

“…Weak convergence results for both algorithms are analyzed.…”
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Automated System for Teaching Computational Complexity of Algorithms Course by Vadim S. Roublev, Murad T. Yusufov

“…The article introduces the technique of algorithms symbol scroll table that allows estimating lower and upper bounds of computational complexity. …”
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An evolutionary-based optimization algorithm for truss sizing design by Pham Hoang Anh

“…The results show that the new algorithm can find optimal solution effectively and it is competitive with some recent metaheuristic algorithms in terms of number of structural analyses required. …”
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Fractal Art Pattern Generation Based on Genetic Algorithm by Huabai Liu

“…The experimental results showed that the simplified genetic programming algorithm was optimized in both individual coding complexity and algorithm complexity. …”
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Machine learning algorithm for intelligent detection of WebShell by Hua DAI, Jing LI, Xin-dai LU, Xin SUN

“…WebShell is a common tool for network intrusions,which has the characteristics of great harm and good concealment.The current detection method is relatively simple,and easy to be bypassed,so it is difficult to deal with complex and flexible WebShell.To solve these problems,a supervised machine learning algorithm was put forward to detect WebShell intelligently.By learning the features of existing WebShell and non-existing WebShell pages,the algorithm can make prediction of the unknown pages,and the flexibility and adaptability were both very good.Compared with the traditional WebShell detection methods,the experiment proves that the algorithm has higher detection efficiency and accuracy,and at the same time there is a certain probability to detect new types of WebShell.…”
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A Method for Speed Up the Allpass Transformation Algorithm by M. I. Porhun, M. I. Vashkevich

“…The results showed that both algorithms allow accelerating the calculation of the chain of phase links by 1.3 and 1.8 times, respectively.…”
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Routing algorithm for MPLS traffic engineering in satellite network by XIAO Fu1, SUN Li-juan1, YE Xiao-guo1, WANG Ru-chuan1

“…With regard to long transmission delay and dynamic topology characters in satellite network,a novel routing algorithm was proposed in multi-protocol label switching satellite network.The algorithm uses the prior knowledge of source-destination pairs,and link propagation delay is also considered.Based on time-varying topology snapshot of satellite network,initial link weight is defined as function of transmission delay and residual bandwidth.Both current request and future requests are in account when calculate critical degree.Thus traffic engineering is realized by link weight dynamic adjustment and critical links extension loaded,which guarantee resource utilized better.Simulation results demonstrate the algorithm performs better in terms of request reject ratio,total available flow,average hop and transmission delay of least interference paths.…”
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