Empirical studies on the impact of filter‐based ranking feature selection on security vulnerability prediction by Xiang Chen, Zhidan Yuan, Zhanqi Cui, Dun Zhang, Xiaolin Ju

“…Abstract Security vulnerability prediction (SVP) can construct models to identify potentially vulnerable program modules via machine learning. …”
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Career path prediction using XGBoost Model and students’ academic results by Hong Quan Nguyen, Duc Dang Khoi Nguyen, Tan Duy Le, An Mai, Kha Tu Huynh

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Career path prediction using XGBoost Model and students’ academic results by Hong Quan Nguyen, Duc Dang Khoi Nguyen, Tan Duy Le, An Mai, Kha Tu Huynh

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Evaluating the feasibility of automating dataset retrieval for biodiversity monitoring by Alexandre Fuster-Calvo, Sarah Valentin, William C. Tamayo, Dominique Gravel

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Intelligent Data Processing Methods for Studying the Influence of the Environment on the Morbidity of the Population in Moscow by T. V. Zolotova, A. S. Marunko

“…A web interface has been developed to automate the analysis of new data using constructed machine learning models used to conduct regression analysis to create a binary logistic model (prediction based on collected data of people with socially significant diseases) and a multiclass classification models (prediction based on collected data, which it is the disease that can be detected in a person). …”
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Identifying common disease trajectories of Alzheimer’s disease with electronic health recordsResearch in context by Mingzhou Fu, Sriram Sankararaman, Bogdan Pasaniuc, Keith Vossel, Timothy S. Chang

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A Neuro-Symbolic Framework for Tree Crown Delineation and Tree Species Classification by Ira Harmon, Ben Weinstein, Stephanie Bohlman, Ethan White, Daisy Zhe Wang

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Optimizing hybrid models for forest leaf and canopy trait mapping from EnMAP hyperspectral data with limited field samples by Nizom Farmonov, Susanne Walden, Eric Martinée, Christian Lampei, Mona Schreiber, Lars Opgenoorth, Anjaharinony Andry Ny Aina Rakotomalala, Tobias Müller, Nina Farwig, Stefan Pinkert, Lucy Saueressig, Annabell Rosemarie Wagner, Robert R. Junker, Jochem Verrelst, Jörg Bendix

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A Novel Data Analytics Methodology for Discovering Behavioral Risk Profiles: The Case of Diners During a Pandemic by Thouraya Gherissi Labben, Gurdal Ertek

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AI based predictive acceptability model for effective vaccine delivery in healthcare systems by Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Urooj Iqrar, Ali Raza, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Ayman Qahmash

“…Using the LightGBM algorithm, the proposed model constructed on the basis of different machine-learning procedures achieved 98% accuracy to accurately predict the acceptability of vaccines included in the immunization program. …”
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Technology for determining non-humanities university students' cognitive-and-psychological characteristics by N. I. Chernova, E. A. Ivanova, N. B. Bogush, N. V. Katakhova

“…The purpose of this work was to create a special entrance test for first-year students starting to learn a new foreign language. To achieve the research objective, the study analyzed data on testing language/linguistic proficiency and motivation for learning a foreign language. …”
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A Novel Efficient Method of Estimating Suspended‐To‐Total Sediment Load Fraction in Natural Rivers by Hyoseob Noh, Yong Sung Park, Il Won Seo

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Scientific and theoretical foundations of teaching systems by Ilić Mile Đ., Jerković Ljiljana S.

“…Through meta-theoretical analysis and comparison, it was established that the theoretical foundations of the system of lecturer-centered and lecturer-expository teaching represent the conservative didactic paradigm, characterized by stimulus-response (S-R) learning theories, epistemological theories of education, associative psychology, classical-didactic starting points, and the instructions of Herbert, Comenius, and their followers. …”
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TIM-FEM-ML synthetic technology for longitudinal optimization of tunnel excavated in the interlayered rock mass by Hui Li, Weizhong Chen, Xiaoyun Shu, Xianjun Tan, Qun Sui

“…Python codes are programmed to realize automatic processing of numerical simulation and results are extracted to the ML algorithm for the prediction model. …”
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Automatic morphology phenotyping of tetra- and hexaploid wheat spike using computer vision methods by A. Yu. Pronozin, A. A. Paulish, E. A. Zavarzin, A. Yu. Prikhodko, N. M. Prokhoshin, Yu. V. Kruchinina, N. P. Goncharov, E. G. Komyshev, M. A. Genaev

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Interpretable Multi-Sensor Fusion of Optical and SAR Data for GEDI-Based Canopy Height Mapping in Southeastern North Carolina by Chao Wang, Conghe Song, Todd A. Schroeder, Curtis E. Woodcock, Tamlin M. Pavelsky, Qianqian Han, Fangfang Yao

“…This study presents an explainable machine learning framework that integrates sparse GEDI LiDAR samples with multi-sensor remote sensing data to improve both the accuracy and interpretability of forest canopy height estimation. …”
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Computer-Modeling System of Agronomist’s Labor Functions by I. E. Bystrenina

“…Among the main objectives of the research is the study of the essence of computer modeling as a teaching method in the works of domestic scientists, as well as the construction of models and their implementation using high-level programming languages in order to obtain an information system for the labor functions of an agronomist.Materials and methods. …”
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Variational autoencoder-based model improves polygenic prediction in blood cell traits by Xiaoqi Li, Elena Kharitonova, Minxing Pang, Jia Wen, Laura Y. Zhou, Laura Raffield, Haibo Zhou, Huaxiu Yao, Can Chen, Yun Li, Quan Sun

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‘She has become Brave:’ the role of menstrual health education in building girls’ agency by Aubryn Allyn Sidle, Asimwe Suedi, Hannah Schwarz, Monica-Zulay Swai, Eugenia Kafanabo, Brenda Oulo

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Competence analysis of artificial intelligence professionals by G. P. Sorokina, E. A. Dolgikh, T. A. Pershina

“…Therefore, many applicants choose occupations in which information technology (IT) and programming knowledge is predominant. Comprehensive measures for preparing graduates in the context of digitalisation cover the formation of appropriate educational programmes. …”
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