Well logging super-resolution based on fractal interpolation enhanced by BiLSTM-AMPSO by Jian Han, Yu Deng, Bing Zheng, Zhimin Cao

“…Specifically, mutation factors are introduced into the particle swarm optimization (PSO) algorithm to enhance search accuracy. The AMPSO is utilized to obtain optimal solutions for the vertical scaling factors in the fractal interpolation iterated function system (IFS), ensuring these factors adhere to fractal theory constraints. …”
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A Novel GA-based Approach to Automatically Generate ConvLSTM Architectures for Human Activity Recognition by Sarah Khater, Magda B. Fayek, Mayada Hadhoud

“…One of the leading approaches in NAS is Genetic Algorithm (GA), which plays a significant role in optimizing neu-ral architectures. …”
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Rice Growth Parameter Estimation Based on Remote Satellite and Unmanned Aerial Vehicle Image Fusion by Jiaqi Duan, Hong Wang, Yuhang Yang, Mingwang Cheng, Dan Li

“…The results indicate the following: (1) The fusion of satellite and UAV images, combined with spectral information and textural features, can significantly improve the estimation accuracy of LAI and SPAD compared to using only spectral information or textural features. (2) Sparrow search algorithm-optimized extreme gradient boosting (SSA-XGBoost) regression achieved the highest accuracy, with R² and RMSE of 0.904 and 0.183 in LAI estimation and 0.857 and 0.882 in SPAD estimation, respectively. …”
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A Wind Power Density Forecasting Model Based on RF-DBO-VMD Feature Selection and BiGRU Optimized by the Attention Mechanism by Bixiong Luo, Peng Zuo, Lijun Zhu, Wei Hua

“…Finally, an attention mechanism is employed to identify important information from the outputs of the BiGRU model, and the Grid Search (GS) method is used to optimize the BiGRU-Attention model, yielding optimal predictions. …”
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Distributed Relative Pose Estimation for Multi-UAV Systems Based on Inertial Navigation and Data Link Fusion by Kun Li, Shuhui Bu, Jiapeng Li, Zhenyv Xia, Jvboxi Wang, Xiaohan Li

“…Accurate self-localization and mutual state estimation are essential for autonomous aerial swarm operations in cooperative exploration, target tracking, and search-and-rescue missions. However, achieving reliable formation positioning in GNSS-denied environments remains a significant challenge. …”
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HEALTH CLAIM INSURANCE PREDICTION USING SUPPORT VECTOR MACHINE WITH PARTICLE SWARM OPTIMIZATION by Syaiful Anam, M. Rafael Andika Putra, Zuraidah Fitriah, Indah Yanti, Noor Hidayat, Dwi Mifta Mahanani

“…They are able to search the global optimum, easy to be implemented. …”
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Are impermeable curtains necessary for a groundwater contaminant remediation project? by Ming Guo, Yun Yang, Qian-kun Luo, Ying-chun Li, Hai-chun Ma, Jia-zhong Qian

“…To further investigate, a multi-objective simulation and optimization model, utilizing the Multi-Objective Fast Harmony Search (MOFHS) algorithm, was employed to identify optimal groundwater remediation system designs that without impermeable curtains. …”
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Multi-Domain Controversial Text Detection Based on a Machine Learning and Deep Learning Stacked Ensemble by Jiadi Liu, Zhuodong Liu, Qiaoqi Li, Weihao Kong, Xiangyu Li

“…Furthermore, we systematically compare three hyperparameter optimization algorithms, including the sparrow search algorithm (SSA), particle swarm optimization (PSO), and Bayesian optimization (BO). …”
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Modelling and Simulation of a 3MW, Seventeen-Phase Permanent Magnet AC Motor with AI-Based Drive Control for Submarines Under Deep-Sea Conditions by Arun Singh, Anita Khosla

“…A MATLAB/Simulink framework was developed to model the motor, whose drive system leverages an AI-optimised dual fuzzy-PID controller refined using the Harmony Search Algorithm. Additionally, a combination of Indirect Field-Oriented Control (IFOC) and Space Vector PWM strategies are implemented to optimise inverter switching sequences for precise output modulation. …”
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Degree-Constrained k-Minimum Spanning Tree Problem by Pablo Adasme, Ali Dehghan Firoozabadi

“…Then, we further propose ant colony optimization (ACO) and variable neighborhood search (VNS) algorithms. Each proposed ACO and VNS method is also compared with another variant of it which is obtained while embedding a Q-learning strategy. …”
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Distinguishing glioblastoma from brain metastasis; a systematic review and meta-analysis on the performance of machine learning by Mohammad Amin Habibi, Reza Omid, Shafaq Asgarzade, Sadaf Derakhshandeh, Ali Soltani Farsani, Zohreh Tajabadi

“…Method The search was conducted from inception to 1 June, 2023, in PubMed/Medline, Embase, Scopus, and Web of Science to find out the studies investigated the performance of ML-based algorithm for differentiation of glioblastoma and metastatic brain tumor. …”
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Prediction of Aluminum Alloy Surface Roughness Through Nanosecond Pulse Laser Assisted by Continuous Laser Paint Removal by Jingyi Li, Rongfan Liang, Han Li, Junjie Liu, Jingdong Sun

“…A back propagation neural network (BPNN) coupled with a sparrow search algorithm (SSA) is employed to predict surface roughness. …”
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Identification of digital device hardware vulnerabilities based on scanning systems and semi-natural modeling by E. F. Pevtsov, T. A. Demenkova, A. О. Indrishenok, V. V. Filimonov

“…In order to detect vulnerabilities in hardware at an early design stage, a special semi-natural simulation stand was developed. A scanning algorithm using the Remote Bitbang protocol is proposed to enable data to be transferred between OpenOCD and a device connected to the debug port. …”
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Performance of Sentiment Classification on Tweets of Clothing Brands by Muhammad Shafiq Jalani, Hu Ng, Timothy Tzen Vun Yap, Vik Tor Goh

“…Hyperparameter tuning was implemented by GridSearchCV to find the best parameters of classification models in order to optimize the best results.  …”
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Application of quasi-oppositional driving training-based optimization for a feasible optimal power flow solution of renewable power systems with a unified power flow controller by Tushnik Sarkar, Chandan Paul, Susanta Dutta, Provas Kumar Roy, Ghanshyam G. Tejani, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…The acquired test outcomes by QODTBO have been contrasted with the outcomes found by the use of DTBO, backtracking search optimization algorithm (BSA), and sine cosine algorithm (SCA). …”
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A Crash Severity Prediction Method Based on Improved Neural Network and Factor Analysis by Chen Zhang, Jie He, Yinhai Wang, Xintong Yan, Changjian Zhang, Yikai Chen, Ziyang Liu, Bojian Zhou

“…Thus, to progress in this area, in this study, a thorough artificial neural network combined with an improved metaheuristic algorithm was developed and tested in terms of its structure, training function, factor analysis, and comparative results. …”
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A Systematic Literature Review of Concept Drift Mitigation in Time-Series Applications by Mujaheed Abdullahi, Hitham Alhussian, Norshakirah Aziz, Said Jadid Abdulkadir, Yahia Baashar, Abdussalam Ahmed Alashhab, Afroza Afrin

“…The findings show that Support Vector Machines (SVM) is the most effective learning algorithms for the detection and adaptation of CD in regression and classification tasks using time-series data. …”
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Scheme of extending elliptic curve method to three phases by Guiwen LUO

“…Elliptic curve method for integer factorization (ECM) is one of the most popular integer factorization algorithms,and it was firstly proposed by Lenstra in 1985.The original ECM contained just first phase.Since its invention,researches about the algorithm and implementation emerged up,among which the most important improvement is the extension to two phases proposed by Brent and Montgomery.This improvement tremendously strengthened ECM's capacity and efficiency.Elliptic curve method was extended to three phases.Extension method is kind of like “mixing together” the first phase and second phase.Compared to the best current two phases ECM,the new algorithm shows 2 advantages.First,under the same factorization parameters,the proposed algorithm improves the probability of finding out prime factor at the expense of negligible increasement of time.Second,when searching the same prime factor,the proposed algorithm can utilize smaller “smoothness parameters”.…”
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Сombat wounds microflora in modern warfare by V. P. Kovalchuk, N. S. Fomina, V. M. Kondratiuk, О. О. Fomin, Y. V. Lazarenko, K. V. Gumenyuk

“…Identification of resistance genes was conducted by comparing the obtained nucleotide sequences against the GenBank® database of the National Center for Biotechnology Information (NCBI) using the BLAST (Basic Local Alignment Search Tool) algorithm. …”
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Laser-induced Breakdown Spectroscopy Based on Pre-classification Strategy for Quantitative Analysis of Rock Samples by Weiheng KONG, Lingwei ZENG, Yu RAO, Sha CHEN, Xu WANG, Yanting YANG, Yixiang DUAN, Qingwen FAN

“…Different element quantitative models were constructed for each rock type. The kNN algorithm was selected using cross-validation to determine the optimal k value, and the key punishment parameter C and RBF width parameter γ of the SVM algorithm were determined using a grid search method. …”
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