Modeling Social Evolution, Involution, and Indeterminacy: A Neutrosophic-Cultural Algorithm Approach by Florentin Smarandache, Antonios Paraskevas

“…This mirrors neutrosophic logic: true (𝒯), neutral or indeterminate (ℐ), and false (ℱ). The main concept of cultural algorithms is a generalization of the idea that evolution has at its base both racial learning within species and social learning within human societies. …”
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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). Utilizing the Chatterjea–Suzuki-C (CSC) condition, we establish both strong and weak convergence. …”
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Microblog burst topic diffusion prediction algorithm based on the users and node scale by Wei WANG, Rui-guang LI, Yuan ZHOU, Wu YANG

“…The main purpose of burst topic diffusion modeling and prediction is to control the subsequent large-scale dis-semination of emergency incidents with adverse effect. …”
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Algorithms for Processing Coronavirus Genomes for the Goals and Objectives of Modern Immunoinformatics, Vaccinomics, and Virology by M. V. Sprindzuk, A. S. Vladyko, L. P. Titov, Lu Zhuozhuang, V. I. Bernik

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Integrating Artificial Intelligence and Computational Algorithms to Optimize the 15-Minute City Model by Marwa Abouhassan, Samah Elkhateeb, Raneem Anwar

“…We reveal how AI-driven algorithms, machine learning techniques, and advanced data analytics can enhance urban planning, improve accessibility, and foster social integration. …”
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Malicious software identification based on deep learning algorithms and API feature extraction by Wei Sun

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The algorithm of the engineering method of parameter optimization dump working equipment of the motor grader by Ignatov S.D.

“…This paper presents an analysis of existing motor grader blade equipment designs, develops an engineering methodology optimization algorithm, and examines the main stages of its implementation, including modeling, iterative optimization procedures, and experimental validation. …”
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Comprehensive Analysis of Lightweight Cryptographic Algorithms for Battery-Limited Internet of Things Devices by Nahom Gebeyehu Zinabu, Yihenew Wondie Marye, Kula Kekeba Tune, Samuel Asferaw Demilew

“…As a result of their limited processing power efficiency, memory, and battery life, traditional cryptographic algorithms like elliptic curve cryptography (ECC), Rivest–Shamir–Adleman (RSA), and Advanced Encryption Standard (AES) are sometimes too resource-intensive for these devices. …”
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Calculation of the steady-state mode of the electric network using a genetic algorithm by V. I. Polischuk, V. A. Tkachenko, A. O. Shepelev

“…The paper presents the main elements of a genetic algorithm for calculating the steady-state mode of an electrical network, defines an optimized target function, and presents the calculation results in comparison with Newton method.Conclusion. …”
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Flight Performance Analysis of an Image Processing Algorithm for Integrated Sense-and-Avoid Systems by Lidia Forlenza, Giancarmine Fasano, Domenico Accardo, Antonio Moccia

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An improved YOLOv5n algorithm for detecting surface defects in industrial components by Jia-Hui Tian, Xue-Feng Feng, Feng Li, Qing-Long Xian, Zhen-Hong Jia, Jie-Liang Liu

“…To address these issues, this paper proposes an improved YOLOv5n algorithm for industrial surface defect detection. …”
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Proposed Approach to Increase the Reliability of Wireless Sensor Networks through Dijkstra’s Algorithm by Jasim Abd Hashim Yaqin, Talib Hasson Saad

“…Dijkstra’s algorithm is implemented to find the shortest paths between nodes, enhancing energy efficiency, network longevity, and data access speed at minimal cost. …”
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Evaluating and refining undersea cable path planning algorithms: A comparative study. by Tianjiao Wang, Zengfu Wang, Bill Moran, Xinyu Wang, Moshe Zukerman

“…To evaluate the performance of automated path-planning methods, we compare them based on two main criteria: (1) the total weighted cost which is a combined measure of various costs and risks of the cable path according to their weights, and (2) the algorithm's runtime. …”
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Echo Chambers and Algorithmic Bias: The Homogenization of Online Culture in a Smart Society by Putri Salsa Della Guitara, Purnomo Eko Priyo, Khairunissa Tiara

“…This creates echo chambers, where users are isolated from diverse viewpoints. Algorithmic bias, stemming from the data used to train these algorithms, can further exacerbate this issue. …”
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A METHOD FOR MONITORING RICE SEED LOSS BASED ON WOA-BP ALGORITHM by Jin Chen, Ting Shi, Yaoming Li, Yahui Zhu, Caoyuan Niu

“…The loss rate monitoring device consisted of a piezoelectric ceramic sensor module, charge amplification circuit, band-pass filter circuit, analog-to-digital (AD) converter, main control unit, etc. The WOA-BP algorithm, which has a high accuracy and fast response speed, was used to classify and count the signals to realise seed loss rate monitoring. …”
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A Detection Method of Lentinus Edodes Based on Improved YOLOv4 Algorithm by HUANG Ying-lai, LI Da-ming, LU Xin, YANG Liu-song

“…In order to explore the picking of Lentinus edodes which are cultivated in bags, a recognition algorithm based on improved YOLOv4 is proposed.The main improvement measures are: in the structure of PANet (Path Aggregation Network), we add a feature map path with residual attention mechanism to improve the recognition accuracy of small targets, and replace the convolution layer in PANet network with deep separable convolution structure to reduce the amount of parameters.Focal loss is selected to improve the original confidence loss function.In the aspect of data preprocessing, gamma transform method is used to enhance and expand the data.In the training process, the idea of transfer learning is used to load the pre training weight of VOC data set on the backbone network.Compared with the original YOLOv4 algorithm, the mAP value is increased by 4.82 percentage points to 94.39%, and the amount of algorithm parameters is reduced by 58.13%.The algorithm is more efficient and lightweight, providing visual algorithm support for mechanical picking.…”
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Coverage Optimization Algorithm Based on Sampling for 3D Underwater Sensor Networks by Du Xiaoyu, Sun Lijuan, Liu Linfeng

“…We propose a coverage optimization algorithm based on sampling to enhance the coverage of 3D underwater sensor networks. …”
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Optimization Planning Techniques with Meta-Heuristic Algorithms in IoT: Performance and QoS Evaluation by İsa Avcı, Murat Koca

“…This work organizes its most innovative contribution around optimization scheduling techniques, which are based on three meta-heuristic algorithms. These algorithms include the particle swarm algorithm, the genetic algorithm, and the ant colony algorithm. …”
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Combined multiple random features least mean square algorithm for online applications by Minglin Shen, Wei Feng, Gangyi Huang, Letian Qi, Yu Liu, Shiyuan Wang

“…However, the linear growth network structure is a main challenge of MKLMS. To address this issue, a novel multiple random features least mean square (MRFLMS) algorithm is proposed by approximating multiple Gaussian kernels with the multiple random features method. …”
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The Profit Rate-Interest Rate Nexus: Evidence from Machine Learning Algorithms by Mehmet Yeşilyaprak, Ali Polat, Önder Özgür, Süleyman Şahal

“…The main purpose of this study is to examine potential predictors of profit rates and de- posit rates and to examine whether these rates are affected by identical factors. …”
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