Ghostly Encounters on Google by Samuel Collins

“…In so doing, spirit photography anticipates the challenges digitization, manipulation and algorithmically generated images raise to the indexical truth-value of the image. …”
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A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Samar Hussni Anbarkhan, Laith Abualigah

“…The effectiveness of the proposed QUATRE-EMS algorithm is also checked through statistical analysis and the QUATRE-EMS variant is compared with other variants of DE optimization algorithms which are recently proposed in the state-of-the-art literature such as LSHADE, MadDE, CS-DE, LPalmDE, EDEV, jSO, SHADE, ISDE, and JADE. …”
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High-resolution surface wave dispersion spectrum computation based on iterative threshold shrinkage algorithm and its application to irregularly sampled data by Luo Li, Luo Li, Xuri Huang, Xuri Huang, Weiping Cao, Hai Yao, Hai Yao, Yungui Xu, Yungui Xu, Huatao Zhao, Huatao Zhao, Bin Wu

“…Also, the resultant shear-velocity inversion result matches better with the collocated micrologging result than the result associated with the conventional Tau-P trans-form algorithm, indicating a higher-precision inversion result.…”
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AI-Based Classification Model for Low-Energy Buildings: Promoting Sustainable Economic Development of Smart Cities With Spherical Fuzzy Decision Algorithm by Lin Yang

“…For this purpose, we modified the theory of criteria importance through intercriteria correlation (CRITIC) and combined compromise solution (COCOSO) methods to assess suitable optimal options for the multi-attribute group decision-making (MAGDM) problem. Moreover, we also propose a novel decision algorithm of the CRITIC-COCOSO method under consideration of spherical fuzzy situations. …”
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A Model Reference Adaptive Controller based Flamingo Search Algorithm for Liquid Level Control in Non-Linear Conical Tank System by Selvaraj S. P., Thiyagarajan R., Rajavenkatesan T

“…The complexity in CTs is also increased by the limitation to manipulated variables, interactions in measurements, and frequent disturbances. …”
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A novel wheeled mobile robots control based on robust hybrid controller: Mixed H2/H∞ and predictive algorithm approach by Sibang Liu, Kuili Liu, Zhen Zhong, Jinghan Yi, Hamdulah Aliev

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A Novel DV-Hop Localization Method Based on Hybrid Improved Weighted Hyperbolic Strategy and Proportional Integral Derivative Search Algorithm by Dejing Zhang, Pengfei Li, Benyin Hou

“…However, this algorithm also has some defects, such as poor localization accuracy and vulnerability to network topology. …”
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Optimization of a reinforced concrete structure subjected to dynamic wind action by Jherbyson Williams Silva Brito, Let�cia Fleck Fadel Miguel

“…For this, the Whale Optimization Algorithm (WOA) algorithm was used, an algorithm from the group of metaheuristic algorithms, which presents an easy computational implementation. …”
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MATHEMATICAL MODEL OF COMPLEX PROTECTION OF AN INFOCOMMUNICATION OBJECT BASED ON "PLAYING WITH NATURE" by I. S. Klimenko

“…From a practical point of view, the algorithms proposed by the author for calculating possible winnings in the game are of interest. …”
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Streamlining referrals by establishing a UAE-specific referral algorithm for CVD patients with overlapping COPD: a collaborative effort by cardiologists and pulmonologists by Abdulla Shehab, Ashraf Alzaabi, Abdulmajeed Al Zubaidi, Bassam Mahboub, Hadi Skouri, Hamad Alhameli, Hassan El-Tamimi, Mohammed Nizam Iqbal

“…The task force has proposed an algorithm to expedite the referral of CVD patients suspected of COPD from cardiology to pulmonology.ConclusionImplementing this referral algorithm across all cardiology departments in the UAE can facilitate the diagnosis of COPD in CVD patients, allow timely treatment of COPD, and improve patient outcomes.…”
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KDDC: a new framework that integrates kmers, dataset filtering, dimension reduction and classification algorithms to achieve immune cell heterogeneity classification by Nan Zhang, Nan Zhang, Shishun Zhao, Runze Wu, Xizi Luo, Ming Yang, Zecheng Chang, Jianting Xu

“…These findings will not only enhance ourunderstanding of immune system functions but also offer new directions for the development and optimization of immunotherapy.…”
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A requirements model for AI algorithms in functional safety-critical systems with an explainable self-enforcing network from a developer perspective by Klüver Christina, Greisbach Anneliesa, Kindermann Michael, Püttmann Bernd

“…Modern safety-related systems are becoming increasingly complex, making also the safety integrity assessment more complex and time-consuming. …”
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Application of a novel metaheuristic algorithm inspired by connected banking system in truss size and layout optimum design problems and optimization problems by Mehrdad Nemati, Yousef Zandi, Jamshid Sabouri

“…This paper aims to utilize a metaheuristic algorithm which is based on some principals of connected banking systems, which is called the Connected Banking System Optimizer(CBSO) algorithm. …”
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Educational Data Mining: A Foundational Overview by Ilias Papadogiannis, Manolis Wallace, Georgia Karountzou

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Optimizing P-Chart Performance Using a Percentage-Based Framework: Application to Nonconforming Items in the Manufacturing Sector by Zahid Khan, Aamir Saghir, Attila I. Katona, Zsolt T. Kosztyan

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Development and validation of a spontaneous preterm birth risk prediction algorithm based on maternal bioinformatics: A single-center retrospective study by Yu Chen, Xinyan Shi, Zhiyi Wang, Lin Zhang

“…Furthermore, the external testing set also showed superior performance, with an AUC of 0.79. …”
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Predicting low birth weight risks in pregnant women in Brazil using machine learning algorithms: data from the Araraquara cohort study by Audêncio Victor, Francielly Almeida, Sancho Pedro Xavier, Patrícia H.C. Rondó

“…This study aimed to develop and evaluate predictive models for LBW using machine learning algorithms, including Random Forest, XGBoost, Catboost, and LightGBM. …”
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An emotional neural network based approach for wind power prediction by Guoling ZHANG

“…To prevent ENN from stucking in locally optimal solution in the process of training, genetic algorithm was proposed to train ENN. The root-mean-square and the standard deviation of the forecast errors were also adopted to measure the accuracy and reliability of the forecast to test the performance of ENN. …”
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Intrusion detection model based on fuzzy theory and association rules by Jianwu ZHANG, Jiasen HUANG, Di ZHOU

“…An intrusion detection model based on fuzzy theory and improved Apriori algorithm was proposed.The BV-Apriori algorithm was used to generate the matching rule base,and the problem of excessive boundary in the continuous data partitioning process was solved by fuzzy set technology.The real-time analysis of the relationship between features and the update of the rule base were completed,and the intrusion detection model BVA-IDS (Boolean vector Apriori-intrusion detection system) was built.The results show that the mining efficiency of the BV-Apriori algorithm is significantly improved when compared with the existing Apriori-BR algorithm,in addition,the BVA-IDS model also performs well on intrusion detection indicators with high detection accuracy,and low false positive rate and false negative rate.…”
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Intrusion detection model based on fuzzy theory and association rules by Jianwu ZHANG, Jiasen HUANG, Di ZHOU

“…An intrusion detection model based on fuzzy theory and improved Apriori algorithm was proposed.The BV-Apriori algorithm was used to generate the matching rule base,and the problem of excessive boundary in the continuous data partitioning process was solved by fuzzy set technology.The real-time analysis of the relationship between features and the update of the rule base were completed,and the intrusion detection model BVA-IDS (Boolean vector Apriori-intrusion detection system) was built.The results show that the mining efficiency of the BV-Apriori algorithm is significantly improved when compared with the existing Apriori-BR algorithm,in addition,the BVA-IDS model also performs well on intrusion detection indicators with high detection accuracy,and low false positive rate and false negative rate.…”
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