ALGORITHMS TO IDENTIFY TRUST AMONG FRIENDS ON SOCIAL NETWORKING SITES BASED ON ONTOLOGY by Phạm Thị Thu Thúy

“…This paper synthesizes and analyzes common reliability formulas and presents a reliability algorithm.…”
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GAN-based pseudo random number generation optimized through genetic algorithms by Xuguang Wu, Yiliang Han, Minqing Zhang, Yu Li, Su Cui

“…Abstract Pseudo-random number generators (PRNGs) are deterministic algorithms that generate sequences of numbers approximating the properties of random numbers, which are widely utilized in various fields. …”
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Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value Problems by D. Baleanu, A. H. Bhrawy, T. M. Taha

“…Through several numerical examples, we confirm the accuracy and performance of the proposed spectral algorithms. Indeed, the methods yield accurate results, and the exact solutions are achieved for some tested problems.…”
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C3-VQA: Cryogenic Counter-Based Coprocessor for Variational Quantum Algorithms by Yosuke Ueno, Satoshi Imamura, Yuna Tomida, Teruo Tanimoto, Masamitsu Tanaka, Yutaka Tabuchi, Koji Inoue, Hiroshi Nakamura

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Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms by Lamiae Azouggagh, Noelia Ibáñez-Escriche, Marina Martínez-Álvaro, Luis Varona, Joaquim Casellas, Sara Negro, Cristina Casto-Rebollo

“…This study aims to explore the gut microbiota of two Iberian pig strains, Entrepelado (n = 74) and Retinto (n = 63), and their reciprocal crosses (n = 100), using machine learning (ML) models to identify key microbial taxa relevant for distinguishing their genetic backgrounds, which holds potential application in the pig industry. Nine ML algorithms, including tree-based, kernel-based, probabilistic, and linear algorithms, were used. …”
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Optimizing Photovoltaic Panel Performance: A Comparative Study of Meta-Heuristic Algorithms by M. Sundar Rajan

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Comparison of Multiobjective Evolutionary Algorithms for Operations Scheduling under Machine Availability Constraints by M. Frutos, M. Méndez, F. Tohmé, D. Broz

“…In this paper we analyze different Evolutionary multiobjective Algorithms (MOEAs) for this kind of problems. We consider an experimental framework in which we schedule production operations for four real world Job-Shop contexts using three algorithms, NSGAII, SPEA2, and IBEA. …”
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A Review of Foreign Object Debris Detection on Airport Runways: Sensors and Algorithms by Jingfeng Shan, Lapo Miccinesi, Alessandra Beni, Lorenzo Pagnini, Andrea Cioncolini, Massimiliano Pieraccini

“…Radar technologies, such as millimeter-wave radar and synthetic aperture radar, offer robust performance, with advancements in algorithms and sensor fusion significantly enhancing their effectiveness. …”
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Lightweight Cryptographic Algorithms for Guessing Attack Protection in Complex Internet of Things Applications by Mohammad Kamrul Hasan, Muhammad Shafiq, Shayla Islam, Bishwajeet Pandey, Yousef A. Baker El-Ebiary, Nazmus Shaker Nafi, R. Ciro Rodriguez, Doris Esenarro Vargas

“…This paper presents the experimental study of cryptographic algorithms to classify the types of encryption algorithms into the asymmetric and asymmetric encryption algorithm. …”
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Algorithms for Solving System of Extended General Variational Inclusions and Fixed Points Problems by Narin Petrot, Javad Balooee

“…Subsequently, the convergence analysis of the proposed iterative algorithm under some suitable conditions is considered. …”
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Optimal Algorithms and the BFGS Updating Techniques for Solving Unconstrained Nonlinear Minimization Problems by Chein-Shan Liu

“…To solve an unconstrained nonlinear minimization problem, we propose an optimal algorithm (OA) as well as a globally optimal algorithm (GOA), by deflecting the gradient direction to the best descent direction at each iteration step, and with an optimal parameter being derived explicitly. …”
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A Comprehensive Analysis of Cryptographic Algorithms: Evaluating Security, Efficiency, and Future Challenges by Donagani Ramakrishna, Mohammed Ali Shaik

“…To analyze the efficiency of these algorithms, a comparative study was conducted using crucial factors, including security, secrecy, and integrity. …”
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Experimental Results of Novel DoA Estimation Algorithms for Compact Reconfigurable Antennas by Henna Paaso, Aki Hakkarainen, Nikhil Gulati, Damiano Patron, Kapil R. Dandekar, Mikko Valkama, Aarne Mämmelä

“…Additionally, we compare the performances of the APPR algorithm and LWA-based MUSIC algorithms. We study how the computational complexity and the performance of the algorithms depend on number of selected radiation patterns. …”
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A comparison of computational efficiencies of stochastic algorithms in terms of two infection models by H. Thomas Banks, Shuhua Hu, Michele Joyner, Anna Broido, Brandi Canter, Kaitlyn Gayvert, Kathryn Link

Subjects: “…stochastic simulation algorithms…”
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Tikhonov Regularized Variable Projection Algorithms for Separable Nonlinear Least Squares Problems by Zhengqing Fu, Lanlan Guo

“…The Levenberg–Marquardt algorithm is used to estimate the nonlinear parameters. …”
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Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis by Masoumeh Vali, Hossein Motahari Nezhad, Levente Kovacs, Amir H Gandomi

“…Tree-based models were the primarily used algorithms and showed promising results in predicting PTSD outcomes for various groups, as indicated by their pooled AUCs: military incidents (0.745), sexual or physical trauma (0.861), natural disasters (0.771), medical trauma (0.808), firefighters (0.96), and alcohol-related stress (0.935). …”
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Quantitative analysis of different SLAM algorithms for geo-monitoring in an underground test field by Jing Li, Jörg Benndorf, Paweł Trybała

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Analysis of Internet Financial Risk Control Model Based on Machine Learning Algorithms by Mingjin Liu, Ruijie Gao, Wei Fu

“…The accuracy of classification and early warning results of the random forest algorithm is relatively high, and the detection rate of the decision tree model is relatively high, but the cost is also the highest. …”
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Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms by Mana Alyami, Irfan Ullah, Furqan Ahmad, Hisham Alabduljabbar

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Comparative analysis of regression algorithms for drug response prediction using GDSC dataset by Soojung Ha, Juho Park, Kyuri Jo

“…In addition, it is difficult for researchers to know which algorithm is appropriate for prediction as various regression and feature selection algorithms exist. …”
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