Evaluating Machine Learning Algorithms for Financial Fraud Detection: Insights from Indonesia by Cheng-Wen Lee, Mao-Wen Fu, Chin-Chuan Wang, Muh. Irfandy Azis

“…Among the models, Random Forest emerged as the most effective algorithm, consistently outperforming others on both training and testing datasets. …”
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When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges by Chao Wang, Jiaxuan Zhao, Licheng Jiao, Lingling Li, Fang Liu, Shuyuan Yang

“…Pre-trained large language models (LLMs) exhibit powerful capabilities for generating natural text. Evolutionary algorithms (EAs) can discover diverse solutions to complex real-world problems. …”
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A Practical Algorithm for Physical Layer Encryption Under Constant Envelope Constraint by Clement Leroy, Tarak Arbi, Oudomsack Pierre Pasquero, Benoit Geller

“…In this paper, we present a novel mask design algorithm that offers three key advantages compared to state-of-the-art methods: optimal Peak-to-Average Power Ratio (PAPR), applicability to both Gaussian and flat fading channels, and a high level of confidentiality. …”
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An improved pelican optimization algorithm for function optimization and constrained engineering design problems by Haval Tariq Sadeeq, Araz Abrahim, Thamer Hameed, Najdavan Kako, Reber Mohammed, Dindar Ahmed

“… Metaheuristic algorithms are a class of optimization techniques that have revolutionized problem-solving across various domains. …”
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Freedom under algorithms: how unpredictable and asocial management erodes free choice by Robert Donoghue

“…I call this phenomenon the ‘foresight endangerment problem’ and argue that it has both a technical and a social face. The technical face highlights the inherent unpredictability of advanced algorithms, including those that execute managerial functions. …”
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A New Algorithm for Detecting X-Ray Shots in Cyg X-1 by Jin Qin, Hua Feng, Lian Tao

“…Compared with previous techniques, our algorithm allows us to detect shots with lower amplitudes and shorter time separations. …”
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A Detailed Comparison of Two New Heuristic Algorithms Based on Gazelles Behavior by Emine Baş

“…This study was conducted to resolve this confusion and demonstrate the discovery and exploitation success of both algorithms. While MGO developed the exploration and exploitation ability by being inspired by the behavior of gazelles living in different groups, GOA model was developed by being inspired by the behavior of gazelles in escaping from predators, reaching safe environments and grazing in safe environments. …”
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Classic (Nonquantic) Algorithm for Observations and Measurements Based on Statistical Strategies of Particles Fields by D. Savastru, Simona Dontu, Roxana Savastru, Andreea Rodica Sterian

“…Our knowledge about surroundings can be achieved by observations and measurements but both are influenced by errors (noise). Therefore one of the first tasks is to try to eliminate the noise by constructing instruments with high accuracy. …”
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Application of multi-sensor fusion localization algorithm based on recurrent neural networks by Zexia Huang, Guoyang Ye, Pu Yang, Wanshun Yu

“…The method also outperforms state-of-the-art algorithms, including Particle Filter (PF) and Graph SLAM, in both accuracy and computational efficiency, achieving an average runtime of 30.1 ms per frame, suitable for real-time applications. …”
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Optimal Energy Management of Microgrids using Quantum Teaching Learning Based Algorithm by Zahra Esmaeili, Seyed Hamid Hosseini

“…The obtained simulation results demonstrate that the QTLBO is significantly superior to the TLBO, Differential Evolution, and Real-Coded Genetic Algorithm in terms of both achieving the final optimal solution and convergence speed.…”
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Applying the Node Combination Algorithm to the Shortest Path Problem for a Logistics Firm by Kevser Arman, Ayşegül Tuş

“…The node combination algorithm has been used to solve the problem, with two different routes being obtained by considering distance and time. …”
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A fast infrared image enhancement algorithm based on contrast optimization model by XIONG Zhandong, DAI Shengkui

“…In order to address the shortcomings of existing plateau histogram algorithms and meet the needs of both high-performance and real-time processing, an optimization model for the triple plateau histogram algorithms based on contrast as an evaluation parameter is proposed. …”
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The algorithmic consumer: A conceptual investigation of AI’s influence on consumer preferences and decisions by Annur Islam Sifat

“…This conceptual paper explores 89 reports, articles, and case studies to analyze the algorithmic consumer, examining the multifaceted impact of AI on consumer preferences and decision-making. …”
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A Novel Optimization Algorithm for Modifying the Parameter Unit of Solar PV Cell by V. Senthil Nayagam, S. Sanal Kumar, V. Thiyagarajan, Neel Kamal, N. Nisha, J. Samson Isaac, Adane Kassa

“…The analytical results show that the modified whale optimization algorithm is both valid and practical for predicting solar cell and photovoltaic unit characteristics. …”
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An Adaptive View Selection Algorithm for Large-scale Cone-Beam CT Reconstruction by Jingsong Lin, Singanallur Venkatakrishnan, Obaidullah Rahman, Gregery T. Buzzard, Amirkoushyar Ziabari, Charles A. Bouman

“…Achieving high-quality reconstructions with traditional analytic reconstruction algorithms typically requires a large number of projections, which can be both time-consuming and costly. …”
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Dual-Population Cooperative Correlation Evolutionary Algorithm for Constrained Multi-Objective Optimization by Junming Chen, Yanxiu Wang, Zichun Shao, Hui Zeng, Siyuan Zhao

“…These two populations share information through a collaborative interaction mechanism, where the driving population focuses on objective optimization, while the conventional population balances both objectives and constraints. To further enhance the performance of the algorithm, a shift-based density estimation (SDE) method is introduced to maintain the diversity of solutions in the driving population, while a multi-criteria evaluation metric is adopted to improve the feasibility quality of solutions in the normal population. …”
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African buffalo algorithm: Training the probabilistic neural network to solve classification problems by Mohammed Alweshah, Lobna Rababa, Mohammed Hashem Ryalat, Ammar Al Momani, Mohamed F. Ababneh

“…The results show that the ABO is better than the firefly algorithm (FA) in terms of both classification accuracy and convergence speed.…”
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Storm‐Time Characteristics of Ionospheric Model (MSAP) Based on Multi‐Algorithm Fusion by Zhou Chen, Kang Wang, Haimeng Li, Wenti Liao, Rongxin Tang, Jing‐song Wang, Xiaohua Deng

“…We use the Multi‐Step Auxiliary Prediction (MSAP) model, a deep learning algorithm, to forecast TEC during geomagnetic storms. …”
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A Lightweight Detection Method for Meretrix Based on an Improved YOLOv8 Algorithm by Zhongxu Tian, Sifan Hou, Xiaoxue Yue, Xuewen Hu

“…To address this issue, this paper proposes a lightweight detection method, YOLOv8-RFD, based on an improved YOLOv8 algorithm, tailored for clam sorting applications. …”
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Construction of Prioritized T-Way Test Suite Using Bi-Objective Dragonfly Algorithm by Mashuk Ahmed, Abdullah B. Nasser, Kamal Z. Zamli

“…Both test case weight and test case priority have equal significance during test suite generation in this strategy. …”
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