Credit card fraud detection through machine learning algorithm by Agyan Panda, Bharath Yadlapalli, Zhi Zhou

“…To help fraud investigators, more algorithms are turning to powerful machine learning methodologies. …”
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Study of intelligent game adversarial algorithms and their applications in the intelligence field by LIU Geng, LIU Xing

“…Intelligent game adversarial algorithms not only make full use of the portrayal accuracy of the game model, but also solve the equilibrium solution through the powerful computational ability of neural network and the trial-and-error mechanism of reinforcement learning, which makes the intelligent game adversarial algorithms achieve good results in many fields. …”
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Moving Target Oriented Opportunistic Routing Algorithm in Vehicular Networks by Yu Ding, Wendong Wang, Yong Cui, Xiangyang Gong, Bai Wang

“…In this paper, we propose a moving target oriented opportunistic routing algorithm in vehicular networks for message delivery from information source to a moving target vehicle. …”
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Pavement crack identification method based on IOtsu-Dd algorithm. by Yang Yang, Lin Wang, Qinghua Xiong

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Efficient i-DFA construction algorithm based on state grouping by Deng-ke QIAO, Qing WANG, Ting-wen LIU, Yong SUN, Li GUO

“…Regular expression matching plays an important role in many network and security applications.DFA is the preferred representation to perform regular expression matching in high-speed network,because of its high and stable matching efficiency.However,DFA may experience state explosion,and thus consume huge memory space.As a classical solution for the problem of state explosion,i-DFA can reduce the memory consumption significantly and guarantee the worst matching performance at the same time.However,prior methods are inefficient in both time and space during the construction of i-DFA.An efficient i-DFA construction algorithm based on the idea of state grouping was proposed.Furthermore,a formal description for the problem of state grouping was given,and it was proved that it was NP-hard to get the best state grouping result.Thus,based on local search strategy,a near-optimal algorithm was introduced to divide states into different groups.Compared with the classical construction method,the significant improvement in both time and space is achieved; the i-DFA of the proposed method may have 2/3 states as that of prior method and the proposed i-DFA is constructed with only 1/16 time of it.…”
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Majorisation‐minimisation algorithm for optimal state discrimination in quantum communications by Neel Kanth Kundu, Prabhu Babu, Petre Stoica

“…However, solving the SDP can represent a high computational burden for many real‐time quantum communication systems. To address this issue, a majorisation‐minimisation (MM)‐based algorithm, called Quantum Majorisation‐Minimisation (QMM) is proposed for solving the QSD problem. …”
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A Prospective Study on Algorithms Adapted to the Spatial Frequency in Tomography by Vincent Israel-Jost, Philippe Choquet, André Constantinesco

“…The use of iterative algorithms in tomographic reconstruction always leads to a frequency adapted rate of convergence in that low frequencies are accurately reconstructed after a few iterations, while high frequencies sometimes require many more computations. …”
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A quantum multiplier based on the quantum Fourier transform algorithm by Qian Junkai, Zhu Jialiang, Ye Bin

“…Multiplier is one of the basic units in many quantum algorithms. In order to implement the multiplying operations and use as few auxiliary qubits in the quantum circuit as possible, a quantum multiplier based on the quantum Fourier transform is proposed. …”
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DEVELOPMENT OF THE ALGORITHM FOR CHOOSING THE OPTIMAL SCENARIO FOR THE DEVELOPMENT OF THE REGION'S ECONOMY by I. S. Borisova

“…Purpose: the article deals with the development of an algorithm for choosing the optimal scenario for the development of the regional economy. …”
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HitIct:Chinese corpus for the evaluation of lossless compression algorithms by CHANG Wei-ling1, YUN Xiao-chun2, FANG Bin-xing1, WANG Shu-peng2

“…HitIct, a Chinese corpus for the evaluation of lossless compression algorithms based on ANSI code, was proposed.In accordance with the principle of application representativeness, Complementary principle and openness principle, a large number of candidate files were obtained from the Internet, and then average compression ratio, average correlation coefficient, compression ratio correlation coefficient and standard deviation were used to select the files that give the most accurate indication of the overall performance of compression algorithms.Experimental results show that this collection has a good representativeness and stability, and can be used as the supplementary test set of the main benchmark for comparing compression methods.…”
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High accuracy and octave error immune pitch detection algorithms by M. Dziubiński, B. Kostek

“…Experiments were performed on a variety of musical instrument sounds and sample results exemplifying main issues of both engineered algorithms are shown. …”
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Overhaul Scheduling Approach for Metro Vehicles Based on Genetic Algorithms by WANG Bingjing, LI Bingxin

“…It is necessary to schedule overhaul of metro vehicles in consideration of many factors, such as maintenance positions, equipment and manpower. …”
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A high precision arctangent solution based on CORDIC algorithm by Zhong Yali, Wu Junhui, Liu Xuan, Gao Ping, Duan Xiaohui

“…The traditional CORDIC(Coordinate Rotation Computer) algorithm has many iterations, slow convergence speed, and large resource consumption for high-precision arctangent. …”
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Cryptanalysis of an Image Encryption Algorithm Using DNA Coding and Chaos by Yuzhuo Zhao, Qiqin Shi, Qun Ding

“…In recent years, many chaotic image encryption algorithms have been cracked by chosen plaintext attack. …”
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An Optimal Algorithm for Renewable Energy Generation Based on Neural Network by Weihua Zhao, Imran Khan, Shelily F. Akhtar, Mujahed Al-Dhaifallah

“…The results show that the proposed algorithm has technological applications and may greatly improve prediction accuracy.…”
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Medical Image Classification Using Different Machine Learning Algorithms by Sami Ismael, Shahab Kareem, Firas Almukhtar

“…Each algorithm results are compared to select the best one according to different criteria’s.…”
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CNN Convolutional layer optimisation based on quantum evolutionary algorithm by Tzyy-Chyang Lu

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Topology of Complex Networks and Performance Limitations of Community Detection Algorithms by Muhammad Qasim Pasta, Faraz Zaidi

“…One of the most widely studied problems in the analysis of complex networks is the detection of community structures. Many algorithms have been proposed to find communities but the quest to find the best algorithm is still on. …”
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A Simulated Annealing Algorithm for the Generalized Quadratic Assignment Problem by Alan McKendall, Yugesh Dhungel

“…The results show the effectiveness of the proposed algorithms.…”
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Quantum Selection for Genetic Algorithms Applied to Electromagnetic Design Problems by Gabriel F. Martinez, Alessandro Niccolai, Eleonora L. Zich, Riccardo E. Zich

“…The method described in this work proposes a hybrid quantum–classical evolutionary optimization algorithm targeting high-frequency electromagnetic problems. …”
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