Discovery of Meaningful Rules by using DTW based on Cubic Spline Interpolation by Luis Alexander Calvo-Valverde, David Elías Alfaro-Barboza

“…The discovery of meaningful rules is achieved through efficient algorithms, equipped with a robust and accurate distance measure. …”
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The applications of CT with artificial intelligence in the prognostic model of idiopathic pulmonary fibrosis by Zeyu Chen, Zheng Lin, Zihan Lin, Qi Zhang, Haoyun Zhang, Haiwen Li, Qing Chang, Jianqi Sun, Feng Li

“…Compared to human visualization, AI algorithms show a higher efficiency in calculating and extracting deep features and a lower inter-observer variation. …”
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Modelling and Output Power Estimation of a Combined Gas Plant and a Combined Cycle Plant Using an Artificial Neural Network Approach by Vasileios Xezonakis, Olusegun David Samuel, Christopher Chintua Enweremadu

“…Researchers, academicians, and stakeholders have been unable to predict, ensure effective operation, and prevent power outages in COGAS due to the nonlinearity. …”
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Effectiveness of machine learning models in diagnosis of heart disease: a comparative study by Waleed Alsabhan, Abdullah Alfadhly

“…An extensive array of preprocessing techniques is thoroughly examined in order to optimize the predictive models’ quality and performance. Our study employs a wide range of ML algorithms, such as Logistic Regression (LR), Naive Bayes (NB), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), K-Nearest Neibors (KNN), AdaBoost (AB), Gradient Boosting Machine (GBM), Light Gradient Boosting Machine (LGBM), CatBoost (CB), Linear Discriminant Analysis (LDA), and Artificial Neural Network (ANN) to assess the predictive performance of these algorithms in the context of heart disease detection. …”
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Network archaeology: uncovering ancient networks from present-day interactions. by Saket Navlakha, Carl Kingsford

“…To overcome this limitation, we propose several novel algorithms to reconstruct the growth history of a present-day network. …”
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Sentiment Analysis Using Stacking Ensemble After the 2024 Indonesian Election Results by Andy Victor Pakpahan, Fahmi Reza Ferdiansyah, Robby Gustian, Muhammad Nur Faiz, Sukma Aji

“…This improvement highlights the effectiveness of ensemble learning in integrating different algorithmic perspectives to enhance predictive performance. …”
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Generalized distribution Sech^k by A. V. Ausiannikau

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Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates by N. Ragu Ramalingam, K. Johnson, M. Pagani, M. Pagani, M. L. V. Martina

“…To address these challenges, it is crucial to develop concepts and algorithms for reducing the number of events simulated and more efficiently approximate the needed simulation results. …”
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THE ESTIMATION TECHNIQUE OF THE ASSOCIATION INFORMATION EFFICIENCY ABOUT AIR OBJECTS ACCORDING TO SEVERAL SOURCES by A. A. Belous, A. V. Khizhniak, D. S. Sharak, A. S. Bely

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Halftone images compression of bitplane using run length encoding with confirmation of repeateation by H. K. Al-Bahadily, V. Yu. Tsviatkou, V. K. Kanapelka

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Artificial Intelligence Empowers Solid-State Batteries for Material Screening and Performance Evaluation by Sheng Wang, Jincheng Liu, Xiaopan Song, Huajian Xu, Yang Gu, Junyu Fan, Bin Sun, Linwei Yu

“…The achievements of various ML algorithms in predicting different performances of the battery management system are discussed. …”
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Prognostic model for log odds of negative lymph node in locally advanced rectal cancer via interpretable machine learning by Ye Wang, Zhen Pan, Huajun Cai, Shoufeng Li, Ying Huang, Jinfu Zhuang, Xing Liu, Guoxian Guan

“…Nine machine learning algorithms were used to create predictive models based on these factors. …”
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Automated CATS system for distance learning by Yu. B. Popova

“…These mathematical methods made it possible to develop adaptability algorithms, their software implementation and testing in the educational process. …”
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Blockchain and Bigdata to Secure Data Using Hash and Salt Techniques by AlSelami Fudhah A.

“…Hashing algorithms like SHA 256 are used to make it more secure. …”
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The block wave region growing of the image based on quadra-grid pixels by O. M. Almiahi, V. YU. Tsviatkou, V. K. Kanapelka

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Monitoring of Thoracopulmonary Compliance During High-Frequency Jet Ventilation: Theoretical and Practical Aspects by M. B. Kontorovich, B. D Zislin, A. V. Chistyakov, A. V. Markov

“…The clinical tests of the developed algorithms permitted a new assessment of the physiological essence of thoracopulmonary compliance during HFJV. …”
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Artificial intelligence: Applications in cardio-oncology and potential impact on racial disparities by Gift Echefu, Rushabh Shah, Zanele Sanchez, John Rickards, Sherry-Ann Brown

“…Additional application opportunities for AI in cardio-oncology involve multimodal cardiovascular imaging, where algorithms can also utilize imaging input to generate predictive risk profiles for cancer patients. …”
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Full-scale simulator to test a control system of an engine-propeller powerplant of a convertible aerial vehicle by D. V. Vereshchikov, I. K. Makarov, I. S. Moiseeva, S. M. Barantsev

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Development of the Model of Diagnostics of Design-Technological Thinking in Secondary School Students in the Subject of Labor (Technology) in the Module “Robotics and Automated Sys... by Yakov M. Mashukov

“…The proposed model can be used to improve the educational process in practice-oriented subject areas.…”
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A review on artificial intelligence-enabled mechanical analysis of 3D printed and FEM-modelled auxetic metamaterials by Aman Garg, Anshu Sharma, Weiguang Zheng, Li Li

“…This review provides a comprehensive analysis of the use of ML algorithms in predicting the properties and performance of auxetic metamaterials. …”
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