RETRACTED ARTICLE: Enhancing MPPT performance for partially shaded photovoltaic arrays through backstepping control with Genetic Algorithm-optimized gains by Serge Raoul Dzonde Naoussi, Kenfack Tsobze Saatong, Reagan Jean Jacques Molu, Wulfran Fendzi Mbasso, Mohit Bajaj, Mohamed Louzazni, Milkias Berhanu, Salah Kamel

“…The system utilizes Genetic Algorithm (GA) and Backstepping Controller (BSC) methodologies. …”
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Elevating metaverse virtual reality experiences through network‐integrated neuro‐fuzzy emotion recognition and adaptive content generation algorithms by Oshamah Ibrahim Khalaf, Dhamodharan Srinivasan, Sameer Algburi, Jeevanantham Vellaichamy, Dhanasekaran Selvaraj, Mhd Saeed Sharif, Wael Elmedany

“…Initially, a neuro‐fuzzy algorithm was developed to identify people's emotional moods from their physiological reactions and other biometric information. …”
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Development of a prediction model for acute respiratory distress syndrome in ICU patients with acute pancreatitis based on machine learning algorithms by REN Xia*，LIU Luojie，ZHA Junjie，YE Ye，XU Xiaodan，YE Hongwei，ZHANG Yan

“…"Objective To develop and validate a predictive model based on machine learning algorithms to assess the risk of acute respiratory distress syndrome（ARDS）in patients with acute pancreatitis（AP）admitted to the intensive care unit（ICU）. …”
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MATHEMATICAL MODEL OF COMPLEX PROTECTION OF AN INFOCOMMUNICATION OBJECT BASED ON "PLAYING WITH NATURE" by I. S. Klimenko

“…The algorithm of formalization of protection processes is proposed, which ensures efficient use of resources when detecting possible incidents of violation of the protection system and/or unauthorized access. …”
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Formation of a database of auxiliary information for positioning in an environment with heterogeneous radio transparency by Mikhail N. Krizhanovsky, Olga V. Tikhonova

“…Modeling of the proposed algorithm has confirmed its operability. The results obtained can be used as a significant addition to the previously proposed algorithm for taking into account obstacles when calculating distances to base stations.…”
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Using machine learning to discover DNA metabolism biomarkers that direct prostate cancer treatment by Ali Shakeri Abroudi, Melika Djamali, Hossein Azizi

“…Differentially expressed genes (DEGs) were identified using the edgeR algorithm with an FDR < 0.01 and a minimum fold change of 1.5. …”
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Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study by Andrea Campagner, Luisa Agnello, Anna Carobene, Andrea Padoan, Fabio Del Ben, Massimo Locatelli, Mario Plebani, Agostino Ognibene, Maria Lorubbio, Elena De Vecchi, Andrea Cortegiani, Elisa Piva, Donatella Poz, Francesco Curcio, Federico Cabitza, Marcello Ciaccio

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Treatment of the Cirrhotic Patients Considering Portal Hypertension Severity Degree and Comorbid Syntropic Extrahepatic Lesions, their Complications: Modified Algorithm, its Effect... by Ferko M.

“…According to the results of our study, we can say that the improved algorithm for the treatment of patients with liver cirrhosis and a common methodology gives a positive result, but in terms of qualitative and quantitative indices, generally accepted medical complex is significantly inferior to modified by us algorithm. …”
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Safety anchors and deflected desires: generative AI and the production of sexualities by Daniel Carter

“…Drawing on Rieder’s concept of algorithmic techniques, it considers current methods of prohibiting the generation of sexual content and uses these as a base for discussing the ways that AI might play a role in the formation of sexualities. …”
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SAOCOM-1 L-Band DInSAR Time Series Generation Through the P-SBAS Approach: Algorithm Extension and Products Analysis by Claudio De Luca, Yenni Lorena Belen Roa, Manuela Bonano, Francesco Casu, Pablo Euillades, Leonardo Euillades, Marianna Franzese, Michele Manunta, Muhammad Yasir, Giovanni Onorato, Pasquale Striano, Luigi Dini, Deodato Tapete, Riccardo Lanari

“…These algorithmic improvements are relevant to the adjacent single look complex (SLC) image slices merging to the multitemporal residual orbital artifacts mitigation and to the phase unwrapping procedure enhancement. …”
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Research Status of Control Strategy for Hybrid Electric Vehicle by He Xiaolu, Bao Jiusheng, Yin Yan, Ma Chi

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Apply PSO into cloud storage task scheduling with QoS preference awareness by Juan WANG, Fei LI, Lu-qiao ZHANG

“…The task scheduling algorithm in cloud storage area with QoS preference awareness was studied.Firstly,the differences between cloud storage and cloud computing were pointed,and exist matrix was used to avoid the creation of useless solutions.Secondly,QoS factors were summarized into three classes:time,cost and quality classes.Based on the three classes,the fitness function of the PSO was improved by using weighted factors to adjust the QoS preference.The simulation results release that PSO is not fit for the overall scheduling when the task distributions of different degrees are unevenness because the QoS demand of wide distribution tasks may cover the QoS demand of other tasks.So a hierarchical scheduling based on degree is necessary.The simulation results show that the improved hierarchical PSO scheduling algorithm can aware the QoS preference relevantly.…”
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A Survey of Sampling Methods for Hyperspectral Remote Sensing: Addressing Bias Induced by Random Sampling by Kevin T. Decker, Brett J. Borghetti

“…In this work, we introduce a set of desirable characteristics to evaluate sampling algorithms, with a primary focus on their tendency to induce correlation between training and test data, while also accounting for other relevant factors. …”
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Sensitivity analysis of activity scheduling parameters with a parameter optimization framework by Matheus Moro Zamprogno, Domokos Esztergár-Kiss

“…The aim of the analysis is to reveal how changes in the attribute values modify the final outcomes. The relevant parameters, activity chains, transport modes, optimization algorithms, and fitness functions, are identified and considered. …”
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Specificity of the Analysis of Syrian Arabic Words and Expressions by Aida D. Haddad, Natalia V. Novospasskaya

“…The result of this work is an algorithm developed by the authors, aimed at improving natural language processing, for analyzing dialectal lexical units and expressions in the Syrian dialect of the Arabic, allowing for the acquisition of the most complete information about their origins, phonetic and grammatical features.…”
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Extracting Knowledge From Scientific Texts on Patient-Derived Cancer Models Using Large Language Models: Algorithm Development and Validation Study by Jiarui Yao, Zinaida Perova, Tushar Mandloi, Elizabeth Lewis, Helen Parkinson, Guergana Savova

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Development of a Cloud Service for Comprehensive Research of Polymer Synthesis Processes by Eldar Miftakhov, Sofya Mustafina, Anastasiya Kashnikova, Andrey Akimov

“…This problem is particularly relevant for polymer synthesis processes, where standard empirical evaluations require enormous computational resources, and existing methods and algorithms prove ineffective when organizing multiple computational trials to select optimal production scenarios. …”
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Semiparametric Transformation Models with a Change Point for Interval-Censored Failure Time Data by Junyao Ren, Shishun Zhao, Dianliang Deng, Tianshu You, Hui Huang

“…Model parameters are estimated via the EM algorithm, with the change point identified through a profile likelihood approach using grid search. …”
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Optimization method for educational resource recommendation combining LSTM and feature weighting by Meixia Yang

“…Finally, the bidirectional long short-term memory network algorithm is used for encoding iteration to minimize data omission and improve data interactivity, achieving accurate recommendation of educational resources. …”
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Advanced genetic algorithm (GA)-independent component analysis (ICA) ensemble model for predicting trapped humans through hybrid dimensionality reduction by Enoch Adama Jiya, Ilesanmi B. Oluwafemi

“…The curse of dimensionality has been addressed in a variety of ways, but issues with accuracy, dependability, and scalability still exist. To choose relevant subset features from the data and for better generalization in various contexts, this work uses an adaptive human presence detector algorithm that hybridizes dimensionality reduction techniques genetic algorithm (GA), which maximizes feature selection, and independent component analysis (ICA), which lowers the dimensionality of the chosen features. …”
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