Policy-adaptive capability inheritance algorithm consistent with POSIX standard by SHEN Qing-ni1, QING Si-han1, HE Ye-ping1, SHEN Jian-jun1

“…In order to support POSIX capability mechanism,many secure operating systems provided individual capability inheritable algorithms.These algorithms were only applicable to specified least privilege control policies,and had such defects as semantic conflicts and no defined security-objectives.So they couldn’t flexibly support for implementing diversified privilege policies for different requirements.Based on the analysis of some existing algorithms,a new capability inheritance algorithm was proposed,which introduced the policy-relevant capability control variable and the trusted application attribution.The implementation of the algorithm in ANSHENG secure operating system demonstrates that this algorithm provides such properties as policy-adaptability and usability,the formal analysis and verification of this algorithm proves that it supports a secure operating system to meet basic security theorems of the privilege policies enforced in it.…”
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A Prospective Study on Algorithms Adapted to the Spatial Frequency in Tomography by Vincent Israel-Jost, Philippe Choquet, André Constantinesco

“…Though the use of such an FA algorithm may seem difficult, we specify in which case it is relevant and propose several ways to improve the reconstruction process with FA algorithms.…”
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Monte Carlo Simulation on Adiabatic Ensembles and a Genetic Algorithm by Fernando M. S. Silva Fernandes

“…This paper concerns interactive Monte Carlo simulations for adiabatic ensembles and a genetic algorithm to research and educational contexts. In the Introduction, we discuss some concepts of thermodynamics, statistical mechanics and ensembles relevant to molecular simulations. …”
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Designing Recolorization Algorithms to Help People with Color Vision Anomalies by V. V. Sinitsyna, A. M. Prudnik

“…Based on the considered advantages and disadvantages of existing algorithms, conclusions were drawn about the requirements for the designed recoloring algorithms, which are planned to be implemented in software to help people with color perception issues. …”
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Clustering‐based recommendation method with enhanced grasshopper optimisation algorithm by Zihao Zhao, Yingchun Xia, Wenjun Xu, Hui Yu, Shuai Yang, Cheng Chen, Xiaohui Yuan, Xiaobo Zhou, Qingyong Wang, Lichuan Gu

“…Experimental results across multiple datasets show that the proposed LCGOA‐based method significantly outperforms conventional recommendation algorithms in terms of recommendation accuracy, offering more relevant content to users and driving greater customer satisfaction and business growth.…”
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Comparative Studies of Reconstruction Algorithms for Sparse-View Photoacoustic Tomography by Xueyan Liu, Shuo Dai, Xin Wang, Mengyu Wang

“…The aim is to provide valuable guidance for the development and application of algorithms in relevant fields.…”
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A Survey of Approximation Algorithms for the Universal Facility Location Problem by Hanyin Xiao, Jiaming Zhang, Zhikang Zhang, Weidong Li

“…A comprehensive survey is conducted of existing approximation algorithms and theoretical results. The relevant results of their important variants are also discussed. …”
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A systematic review: computer vision algorithms in drone surveillance by Hamzah Fawzy, Anas Elbrawy, Moustafa Amr, Omar Eltanekhy, Esraa Khatab, Omar Shalash

“…This paper provides a comprehensive review of drone-based surveillance techniques, focusing on object detection and tracking algorithms, relevant datasets, and exploration strategies. …”
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Variational Autoencoders-Based Algorithm for Multi-Criteria Recommendation Systems by Salam Fraihat, Qusai Shambour, Mohammed Azmi Al-Betar, Sharif Naser Makhadmeh

“…Multi-criteria recommender systems have demonstrated significant value in assisting users to identify the most relevant items by considering various aspects of user experiences. …”
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Application of the Random Forest Algorithm for Accurate Bipolar Disorder Classification by Miguel Suárez, Ana M. Torres, Pilar Blasco-Segura, Jorge Mateo

“…These results highlight the algorithm’s capacity to handle complex, noisy datasets while identifying key features relevant for classification. …”
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Mutable Composite Firefly Algorithm for Microarray-Based Cancer Classification by Fathima Fajila, Yuhanis Yusof

“…Apart from that, the proposed algorithm would also contribute to cancer-related issues upon verifying the relevancy of particular genes via technical analysis from a medical perspective and would be utilised in feature selection applications. …”
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Predictive algorithm for COVID-19 infection risk in indoor environments by Chiara Rucco, Prisco Piscitelli, Antonella Longo, Ali Aghazadeh Ardebili, Alessandro Miani, Enrico Greco

“…This newly-developed Algorithm for the Prediction of Risk of Infections (APRI) relies on rigorous analyses and established different risk thresholds based on temperature, humidity, and CO2 levels. …”
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Formula over Function? From Algorithms to Values in Judicial Evaluation by Francesco Contini, Richard Mohr, Marco Velicogna

“…On the one hand individual judges' productivity is evaluated through quantitative data and mathematical algorithms: in the extreme case considered here, judge's remuneration was adjusted accordingly. …”
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Prediction of time-dependent bearing capacity of concrete pile in cohesive soil using optimized relevance vector machine and long short-term memory models by Jitendra Khatti, Mohammadreza Khanmohammadi, Yewuhalashet Fissha

“…Each SRVM model has been optimized by each genetic (GA_SRVM) and particle swarm optimization (PSO_RVM) algorithm. Moreover, the double kernel-based RVM models (DRVM) have been employed and optimized by each GA (GA_DRVM) and PSO (PSO_DRVM) algorithm. …”
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Evolutionary Algorithms for the Optimal Design of Robotic Cells: A Dual Approximation for Space and Time by Raúl-Alberto Sánchez-Sosa, Ernesto Chavero-Navarrete

“…In response, this study presents a dual approach to optimize both spatial design and traversal time in robotic cells, using bioinspired evolutionary algorithms. Initially, a genetic algorithm is employed to optimize the layout of the cell elements, reducing space usage and avoiding interferences between workstations. …”
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Algorithms of optimization and standardization of surgical care in destructive forms of Charcott foot by K. A. Koreyba, E. P. Krivoshchekov, N. A. Lysov, L. N. Gatina, P. S. Lukin

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A Scoring Algorithm for the Early Prediction of Academic Risk in STEM Courses by Vanja Čotić Poturić, Sanja Čandrlić, Ivan Dražić

“…This study presents the development of a scoring algorithm for the early identification of students at risk of failing science, technology, engineering, and mathematics (STEM) courses. …”
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Distributed data trading algorithm based on multi-objective utility optimization by Xiaohong HUANG, Yong ZHANG, Desheng SHAN, Yekui QIAN, Lu HAN, Dandan LI, Qun CONG

“…The traditional centralized data trading models are not well applicable to the current intelligent era where everything is interconnected and real-time data is generated, and in order to maximize the use of collected data, it is essential to design an effective data trading framework.Therefore, a distributed data trading framework based on consortium blockchain was proposed, which realized P2P data trading without relying on a third party.Aiming at the problem that existing data trading models only consider the factors of the data itself and ignore the factors related to user tasks, a bi-level multi-objective optimization model was constructed based on multi-dimensional factors, such as data quality, data attributes, attribute relevance and consumer competition, to optimize the utilities of data provider (DP) and data consumer (DC).To solve the above model, an improved multi-objective genetic algorithm-collaborative NSGAII was proposed, calculated by the cooperation of DP, DC and data aggregator (AG).The simulation results show that the collaborative NSGAII achieves better performance in terms of the utilities of DP and DC, thus realizing more effective data trading.…”
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Hyperparameter Optimization EM Algorithm via Bayesian Optimization and Relative Entropy by Dawei Zou, Chunhua Ma, Peng Wang, Yanqiu Geng

“…These parameters, which regulate the behavior of the machine learning algorithm and cannot be directly learned from the given training data, can significantly affect the performance of the model. …”
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Efficiency comparison of exact and approximate algorithms for solving set covering problem by Igor S. Konovalov, Sergey S. Ostapenko, Valery G. Kobak

“…Techniques of the set covering problem solution by exact and approximate algorithms are considered. The genetic algorithm is used as the approximate method, and the branch and bounds algorithm - as the exact method. …”
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