Model calculation of a radio communication line based on remote sensing data by Andrey T. Albuzov, Pavel E. Shakhov, Vladimir I. Filatov

“…The article presents the developed algorithms and screenshots of the implementation of the program for calculating the interference effect of the relief, taking into account the underlying surface in the radio communication interval. …”
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Identification of mitophagy-related biomarkers and immune infiltration in polycystic ovarian syndrome by bioinformatic study by Hongjuan Ye, Xicheng Wang, Zhiying He

“…The potential biomarkers of mitophagy-related and immune infiltration in PCOS were screened by protein-protein interaction network using different algorithms, and the area under the curve was calculated to analyze their diagnostic value. …”
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The Role of ChatGPT and AI Chatbots in Optimizing Antibiotic Therapy: A Comprehensive Narrative Review by Ninel Iacobus Antonie, Gina Gheorghe, Vlad Alexandru Ionescu, Loredana-Crista Tiucă, Camelia Cristina Diaconu

“…Realizing this potential will require rigorous clinical trials, interdisciplinary collaboration, regulatory clarity, and tailored algorithmic improvements to ensure their safe and effective integration into clinical practice.…”
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Utilizing deterministic smart tools to predict recovery factor performance of smart water injection in carbonate reservoirs by Ali Maghsoudian, Amin Izadpanahi, Zahra Bahmani, Amir Hossein Avvali, Ali Esfandiarian

“…In this paper, three predictive algorithms including adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN), and multigene genetic programming (MGGP) are developed to predict the RF of smart water flooding in carbonate reservoirs. …”
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Fighting Evaluation Inflation: Concentrated Datasets for Grammatical Error Correction Task by Vladimir Starchenko, Darya Kharlamova, Elizaveta Klykova, Anastasia Shavrina, Aleksey Starchenko, Olga Vinogradova, Olga Lyashevskaya

“…Thus, reaching the resolution limit, evaluation algorithms and datasets do not allow for further enhancement of GEC systems. …”
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Prevalence, comorbidities, and disease-related complications of rheumatoid arthritis in Colombia: a national cross-sectional study based on administrative claims data by Kevin Maldonado-Cañón, Giancarlo Buitrago, Gerardo Quintana-López

“…We used a set of sensitive and specific electronic algorithms (i.e., a set of rules) applied to linked data based on ICD-10 codes and unique medication use codes. …”
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The method of increasing the efficiency of the man-machine system functioning by improving the quality of decision support system software by О.В. Турінський, М.А. Павленко, Г.В. Пєвцов, С.В. Осієвський

“…The time complexity of the algorithms implementing the relevance tree tasks was evaluated. …”
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Application of the Lasso regularisation technique in mitigating overfitting in air quality prediction models by Abbas Pak, Abdullah Kaviani Rad, Mohammad Javad Nematollahi, Mohammadreza Mahmoudi

“…Meanwhile, overfitting is a prevalent issue with ML algorithms that decreases their efficacy and generalizability. …”
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Improved Binary Grey Wolf Optimization Approaches for Feature Selection Optimization by Jomana Yousef Khaseeb, Arabi Keshk, Anas Youssef

“…A set of comparisons were made against the original binary versions of both GWO and PSO algorithms and against eight state-of-the-art feature selection binary optimizers in addition to one of the recent binary optimizers that combines PSO with GWO. …”
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A Seed-Expanding Method Based on TOPSIS for Community Detection in Complex Networks by Jianjun Cheng, Wenbo Zhang, Haijuan Yang, Xing Su, Tao Ma, Xiaoyun Chen

“…The centrality plays an important role in many community-detection algorithms, which depend on various kinds of centralities to identify seed vertices of communities first and then expand each of communities based on the seeds to get the resulting community structure. …”
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Exploring determinant factors influencing muscle quality and sarcopenia in Bilbao's older adult population through machine learning: A comprehensive analysis approach. by Naiara Virto, Danielle Marie Dequin, Xabier Río, Amaia Méndez-Zorrilla, Begoña García-Zapirain

“…Three machine learning classification algorithms classified sarcopenia and MQI in each dataset, and the performance of classification models was compared.…”
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Identifying the NEAT1/miR-26b-5p/S100A2 axis as a regulator in Parkinson's disease based on the ferroptosis-related genes. by Taole Li, Jifeng Guo

“…According to the five machine algorithms, 4 features (S100A2, GNGT1, NEUROD4, FCN2) were screened and used to create a PD diagnostic model. …”
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Identifying Incident Causal Factors to Improve Aviation Transportation Safety: Proposing a Deep Learning Approach by Tianxi Dong, Qiwei Yang, Nima Ebadi, Xin Robert Luo, Paul Rad

“…Consequently, advanced text mining algorithms should be applied to help aviation safety experts facilitate the process of incident data extraction. …”
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A Generic Approach towards Amharic Sign Language Recognition by Netsanet Yigzaw, Million Meshesha, Chala Diriba

“…The dataset used to train the algorithms was gathered in video format from Addis Ababa University. …”
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Analysis of ADR reports of cetuximab based on the FDA adverse event reporting system database by Shuai Zhao, Yan Wang, Xiaoli Deng, Xi Chen, Zhaoyi Lu

“…Disproportionality analyses, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN), and the empirical Bayesian geometric mean (EBGM) algorithms, were employed to quantify the signals of cetuximab-associated AEs. …”
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Predictions of Multilevel Linguistic Features to Readability of Hong Kong Primary School Textbooks: A Machine Learning Based Exploration by Zhengye Xu, Yixun Li, Duo Liu

“…Purpose: To develop advanced readability formulas for Chinese texts using machine-learning algorithms that can handle hundreds of predictors. It is also the first readability formula developed in Hong Kong. …”
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Probing the Pitfalls: Understanding SVD’s Shortcomings in Language Model Compression by Сергей Александрович Плетенев

“…Then, we applied low-rank factorization to its transformer layers using various singular value decomposition algorithms at different compression rates. After that, we used probing tasks to analyze the changes in the internal representations and linguistic knowledge of the compressed models. …”
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Lesion classification and diabetic retinopathy grading by integrating softmax and pooling operators into vision transformer by Chong Liu, Weiguang Wang, Jian Lian, Wanzhen Jiao

“…Note that the proxy tokens can fully utilize both the advantages of softmax and linear attention.ResultsTo evaluate the performance of the presented approach, the comparison experiments between state-of-the-art algorithms and the proposed approach are conducted. …”
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Spatial differences in predicted Phalaris arundinacea (reed canarygrass) occurrence in floodplain forest understories by John T. Delaney, M. Van Appledorn, N. R. De Jager, K. L. Bouska, J. J. Rohweder

“…We used an ensemble of species distribution models including Bayesian additive regression trees, boosted trees, and random forest algorithms to predict habitat suitability for reed canarygrass in forest understories across the Upper Mississippi River floodplain (~41,000 ha). …”
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The chromatic sum of a graph: history and recent developments by Ewa Kubicka

“…The focus is on polynomial algorithms for some families of graphs and NP-completeness issues.…”
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