Approximation Algorithms for Maximum Link Scheduling under SINR-Based Interference Model by Zi-Ao Zhou, Chang-Geng Li

“…To date, several approximation algorithms have been proposed to solve MLS under the SINR-based interference model. …”
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Tighter bounds on the Gaussian Q-function based on wild horse optimization algorithm by Reza Etesami, Mohsen Madadi

“…However, the lack of a closed-form expression for this function has led to considerable research efforts to achieve more accurate approximations. …”
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Plagiarism types and detection methods: a systematic survey of algorithms in text analysis by Altynbek Amirzhanov, Cemil Turan, Alfira Makhmutova

“…By synthesizing the current landscape and emphasizing recent advancements, we aim to guide future research directions and enhance the robustness of plagiarism detection systems across various domains.…”
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Critical Algorithmic Mediation: Rethinking Cultural Transmission and Education in the Age of Artificial Intelligence by Fulgencio Sánchez-Vera

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Non‐Autoregressive Translation Algorithm Based on LLM Knowledge Distillation in English Corpus by Fang Ju, Weihui Wang

“…ABSTRACT Although significant advancements have been made in the quality of machine translation by large‐scale language models, their high computational costs and resource consumption have hindered their widespread adoption in practical applications. So this research introduces an English corpus‐based machine translation algorithm that leverages knowledge distillation from large language model, with the goal of enhancing translation quality and reducing the computational demands of the model. …”
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Study on Cooperative Multipoint Communication Precoding Algorithm under SLNR-MMSE Framework by Yu Fan

“…The signal leakage-to-noise ratio precoding algorithm and the minimum mean square error precoding algorithm are analyzed in detail. …”
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Detecting Pronunciation Errors in Spoken English Tests Based on Multifeature Fusion Algorithm by Yinping Wang

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Defining Algorithmic Ideology: Using Ideology Critique to Scrutinize Corporate Search Engines by Astrid Mager

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Social Network Community Detection by Combining Self-Organizing Maps and Genetic Algorithms by Mehdi Ellouze

“…Social networks have become an important source of information from which we can extract valuable indicators that can be used in many fields such as marketing, statistics, and advertising among others. To this end, many research works in the literature offer users some tools that can help them take advantage of this mine of information. …”
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Adaptive Control Algorithm for Trajectory Tracking of Underactuated Unmanned Surface Vehicle (UUSV) by Chandanlal Karnani, Syed Akhter Raza, Muhammad Asif, Muhammad Ilyas

“…The ability to track the trajectory or path on the sea surface remains a key measurement in the control system of an unmanned surface vehicle (USV). In this research, the designed algorithm defines the path and minimizes the disturbances to zero. …”
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A better iterative algorithm for fixed-point problem in Banach spaces with application by Wakeel Ahmed, Shahid Zaman, Tamseela Ashraf, Asma Raza

“…In this research article, we explore convergence results within the framework of Banach spaces by focusing on a specific iterative scheme, namely the T-iterative algorithm (TIA). …”
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A genetic algorithm based method of optimizing dispersion matrix for RDSM system by Peng ZHANG, Xiaoping JIN, Dongxiao CHEN

“…Rectangular differential spatial modulation (RDSM) is a multi-antenna incoherent modulation technology with high spectral efficiency, low power consumption, and zero-overhead for channel estimation.RDSM is especially suitable for 6G communication systems, such as fast-moving Internet of vehicles, Internet of things, cellular networks, etc.However, the construction of the sparse rectangular unitary space-time dispersion matrix (DM) at transmitter is a problem.The proposed Genetic algorithm (GA) will result in less computational complexity than the currently used random research.The fitness of GA was calculated by the rank and determinant criterion (RDC) method to avoid discussions in differential system.Due to characteristics of constellation symbols of RDSM, the proposed method reduced the computational complexity during each single iteration in GA.The simulation results show that the optimized DMS can significantly improve the bit error rate (BER) performance of the RDSM system.Compared with random search, the low-complexity GA effectively improves the DMS optimization efficiency of RDSM.The computational complexity required for optimizing DMS is about 0.1% of random search optimization method.…”
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Optimal Selection of Multicomponent Matching Layers for Piezoelectric Transducers using Genetic Algorithm by Tadeusz GUDRA, Dariusz BANASIAK

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Algorithm for UAV flight controlling along a railway using technical vision by A.O. Lebedev, V.V. Vasilev, A.G. Paulish

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Energy-Efficient Prediction Clustering Algorithm for Multilevel Heterogeneous Wireless Sensor Networks by Jian Peng, Tang Liu, Hongyou Li, Bing Guo

“…This paper presents research on the existing clustering algorithm applied in heterogeneous sensor networks and then puts forward an energy-efficient prediction clustering algorithm, which is adaptive to sensor networks with energy and objects heterogeneous. …”
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Improvement of medical images with multi-objective genetic algorithm and adaptive morphological transformations by Sadeq Moradzadeh, Vahid Mehrdad

“…Therefore, various researches have been done to improve them. This paper utilizes top-hat and bottom-hat morphological transformations with variable-sized disk structuring elements in opening and closing operations, in contrast to previous research that predominantly employed fixed-size disk structuring elements. …”
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A brief comparison of algorithms and methods for optimization of electric vehicles charging strategies by Arpita Bharti, Rajeev Kumar Chauhan

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Evaluating the Minimum Spanning Trees Using Prim's Algorithm with Undirected Neutrosophic Graphs by Sukanta Ghadei, Amaresh Chandra Panada, Surapati Pramanik, Nihar Ranjan Panda, Prasanta Kumar Raut

“…This research paper presents an innovative approach for determining the minimum spanning tree (MST) in an undirected neutrosophic graph using Prim's Algorithm, which is extensively used in addressing network optimization problems. …”
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Parallel Attribute Reduction Algorithm for Complex Heterogeneous Data Using MapReduce by Tengfei Zhang, Fumin Ma, Jie Cao, Chen Peng, Dong Yue

“…Parallel attribute reduction is one of the most important topics in current research on rough set theory. Although some parallel algorithms were well documented, most of them are still faced with some challenges for effectively dealing with the complex heterogeneous data including categorical and numerical attributes. …”
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Analyzing Students' Interest in Mathematics Through the Implementation of the K-Means Clustering Algorithm by Dede Wintana, Hamdun Sulaiman, Ramdhan Saepul Rohman, Gunawan Gunawan, Muhammad Abdul Ghani

“… This Research is motivated by the importance of understanding students' interest in mathematics, especially in State Junior High School 193 East Jakarta, considering that mathematics is often considered a difficult and frightening subject for some students. …”
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