Improved PESA algorithm based on comentropy by Kun WANG, Lin-lin WANG, Yan LIU, Yu-hua ZHANG, Meng WU

“…Aiming at the issue that the computational effort the complexity and the running time of PESA algorithm are increasing rapidly with the growth of the solutions set number, a comentropy-based PESA algorithm (C-PESA) by merg-ing the entropy value metric into PESA algorithm was proposed. …”
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Universal algorithm for transforming Hamiltonian eigenvalues by Tatsuki Odake, Hlér Kristjánsson, Philip Taranto, Mio Murao

“…In this work, we provide a way of manipulating Hamiltonians, by transforming their eigenvalues while keeping their eigenstates unchanged. We develop a universal algorithm that deterministically implements any desired (suitably differentiable) function on the eigenvalues of any unknown Hamiltonian, whose positive-time and negative-time dynamics are given as a black box. …”
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Data and algorithm security in platform economy by Tingyi ZHENG, Liang PANG, Xiaolong JIN

“…Artificial intelligence, big data, and other technologies are rapidly promoting the development of the platform economy.While Internet platforms use the two-wheel mechanism of “data + algorithm” to provide users with accurate and personalized information services, they also have fair competition for national network security and market due to the platform’s “ecological monopoly” and irregular application of algorithms.The legitimate interests of users pose a threat and bring serious challenges to government supervision and platform governance.Under this background, the connotation, extension, and research status of data and algorithm security in the platform economy were discussed, and the technical system and key technical problems that promote the innovation and development of the platform under the premise of ensuring security were sorted out, and the promotion suggestions for ecological innovation and development of the platform economy from four aspects were given: architecture construction, perfection of supervison systems, breakthrough of core technology, and platform model innovation.…”
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Parallel Implementation of Katsevich's FBP Algorithm by Jiansheng Yang, Xiaohu Guo, Qiang Kong, Tie Zhou, Ming Jiang

“…Basing on this fact, we develop a parallel implementation of Katsevich's FBP algorithm. We do all the numerical experiments on a Linux cluster. …”
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Knowledge-based Algorithms for BDI-agents by Nikolay Vyacheslavovich Shilov, Natalia Olegovna Garanina

“…In the paper we study a couple of knowledge-based multiagent algorithms. One particular algorithm is for a system consisting of agents that arrive one by one (in a non-deterministic order) to a resource center to rent (for a while) one of available desired resources. …”
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Fast Quaternion Algorithm for Face Recognition by Anita Carević, Ivan Slapničar

“…To manage the large size of these matrices, our method projects them onto a carefully chosen subspace, reducing their dimensionality while preserving relevant information. An essential part of our algorithm is the novel Jacobi method we developed to solve the quaternion Hermitian eigenproblem. …”
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Algorithm profiling for architectures with dataflow accelerators by Nenad Korolija, Veljko Milutinović, Borko Furht

“…This is often true with algorithms that work with big data and that can process multiple iterations independently, e.g., while simulating certain phenomena in many elementary volumes. …”
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An Effective Genetic Algorithm for Mixed Precision by Wanyu Zhang, Yu Shang, Min Tsao, Yiwei Li, Xiaoyu Song

“…Addressing this trade-off is essential for optimizing performance while ensuring numerical accuracy. In this paper, we present a genetic algorithm-based approach for tuning the precision of floating-point computations. …”
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Unfolded Algorithms for Deep Phase Retrieval by Naveed Naimipour, Shahin Khobahi, Mojtaba Soltanalian, Haleh Safavi, Harry C. Shaw

“…In this paper, we approach the problem by proposing a hybrid model-based, data-driven deep architecture referred to as Unfolded Phase Retrieval (UPR), which exhibits significant potential in improving the performance of state-of-the-art data-driven and model-based phase retrieval algorithms. The proposed method benefits from the versatility and interpretability of well-established model-based algorithms while simultaneously benefiting from the expressive power of deep neural networks. …”
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Criminal Algorithms and Their Punishment in Modern Constitutionalism by Carlo Piparo, Radovan Blažek

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Effective Algorithm for Biomedical Image Segmentation by Zhao Di, Tang Yi, A. B. Gourinovitch

“…Access to the source code of the algorithm and additional technical details is available at https://github.com/tyjcbzd/FE-Net.…”
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Algorithm for the analysis of kinematic characteristics of running by N. S. Davydova, V. Е. Vasiuk, N. A. Paramonova, М. М. Mezhennaya, D. I. Guseinov

“…The paper describes an algorithm for analysis of kinematic characteristics of the running based on inertial gyro signals. …”
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A SEARCHING ALGORITHM FOR TEXT WITH MISTAKES by S. Nasr, O. V. German

“…The idea consists in division of the searching process in two phases: at the first phase a fuzzy variant of the Boyer–Moore algorithm is performed; at the second phase the Dice metrics is used. …”
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PERFORMANCE PREDICTION OF ROADHEADERS USING SUPPORT VECTOR MACHINE (SVM), FIREFLY ALGORITHM (FA) AND BAT ALGORITHM (BA) by Arash Ebrahimabadi, Alireza Afradi

“…It can be concluded that while predictive models produce satisfactory results, the Bat Algorithm (BA) demonstrates a higher level of precision and realism in its outcomes.…”
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GP4ESP: a hybrid genetic algorithm and particle swarm optimization algorithm for edge server placement by Fang Han, Hui Fu, Bo Wang, Yaoli Xu, Bin Lv

“…Due to NP-hardness of ESP, some works have designed meta-heuristic algorithms for solving it. While these algorithms either exploited only one kind of meta-heuristic search strategies or separately perform two different meta-heuristic algorithms. …”
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A hybrid machine learning algorithm approach to predictive maintenance tasks: A comparison with machine learning algorithms by Jorge Paredes, Danilo Chávez, Ramiro Isa-Jara, Diego Vargas

“…Additionally, the hybrid approach enables early predictions of approximately 17 cycles and late predictions of only 2%, while other learning algorithms, such as linear regression, do not make early predictions but 100% of their predictions are late. …”
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Material point physical model rationale while studying kinematic characteristics of a motor vehicle in case of oblique collision with side cable barriers by G. P. Kolesnikova

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Identification method of roof rock interface based on response characteristics of drilling parameters by LI Dianshang, LIU Cancan, WANG Chuanbing, REN Bo, REN Shuai, KANG Zhipeng

“…Then, the accuracy of rock interface identification was analyzed using parameters such as penetration rate, revolution per minute, sound pressure level, and torque using the application of the change point detection algorithm, the strucchange model in RStudio software, and the decision tree algorithm. …”
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Time Window Characteristics in a Heuristic Algorithm for a Full-Truck Vehicle Routing Heuristic Algorithm in An Intermodal Context by Wisute Ongcunaruk, Pornthipa Ongkunaruk, Gerrit Janssens

“…The results of the experimental runs of the algorithm are statistically analysed to identify under which conditions of concentration and specialization an effect on the cost can be identified. …”
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Positive Anchor Area Merge Algorithm: A Knowledge Distillation Algorithm for Fruit Detection Tasks Based on Yolov8 by Xiangqun Shi, Xian Zhang, Yifan Su, Xun Zhang

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