Cognitive prerequisites for implementation of foreign verbal communication by Magdalyna V. Lyla

“…It is cognitive activity that is considered relevant for students to understand and use the language, despite their knowledge space and cognitive algorithms conditioned by the properties of the human psyche and the specific situation. …”
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Machine Learning-Driven D-Glucose Prediction Using a Novel Biosensor for Non-Invasive Diabetes Management by Pardis Sadeghi, Shahriar Noroozizadeh, Rania Alshawabkeh, Nian Xiang Sun

“…This framework aims to classify clinically relevant glucose levels accurately, enabling non-invasive diabetes monitoring.…”
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Adaptation of Mathematical Tools for Scenario Modeling in a Digital Environment of Multilevel Strategic Management by O. M. Pisareva

“…The obtained results will allow forming the basis of the algorithmization of functions for an intelligent system of scenario modeling with the support of solving tasks of strategic goal-setting and programming.…”
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Bean leaf image dataset annotated with leaf dimensions, segmentation masks, and camera calibrationMendeley Data by Karla Gabriele Florentino da Silva, Paulo Victor de Magalhães Rozatto, Kaio de Oliveira e Sousa, Lucas Dias Hudson, Artur Welerson Sott Meyer, Alemilson Fabiano Silva, Igor Tibiriçá Mendes, Alex Rodrigues Borges, Leandro Elias Morais, Luiz Maurílio da Silva Maciel, Saulo Moraes Villela, Helio Pedrini, Marcelo Bernardes Vieira

“…This dataset can be useful for developing deep learning algorithms for leaf dimensioning and related problems. …”
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Transforming point cloud data into 3D BIM models: a case study on slabs by Slávek Zbirovský, Václav Nežerka

“…The research elaborates on the process of segregating and segmenting floor slabs from point clouds and the developed algorithms categorize point cloud subsets based on different height parameters (z-coordinates). …”
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Creation of a collection of different biological sample types from elderly patients to study the relationship of clinical, systemic, tissue and cellular biomarkers of accumulation... by A. G. Sorokina, Ya. A. Orlova, O. A. Grigorieva, E. S. Novoseletskaya, N. A. Basalova, N. A. Alexandrushkina, M. A. Vigovsky, K. I. Kirillova, A. V. Balatsky, L. M. Samokhodskaya, N. V. Danilova, U. D. Dyachkova, D. А. Fedotov, A. A. Akopyan, V. V. Kakotkin, D. A. Asratyan, Zh. A. Akopyan, A. Yu. Efimenko

“…To develop and describe action algorithms for creating a biobank of samples obtained from patients aged >65 years in order to study biomarkers of SC cell accumulation.Material and methods. …”
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Parameters of Cross-linguistic Variation in Expectation-based Minimalist Grammars (e-MGs) by Cristiano Chesi

“…The fact that Parsing and Generation share the same grammatical knowledge is often considered the null hypothesis (Momma and Phillips 2018) but very few algorithms can take advantage of a cognitively plausible incremental procedure that operates roughly in the way words are produced and understood in real time. …”
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Using the Case Study Technology in Developing the Students’ Environmental Competence by S. B. Ignatov

“…The «case-study» term, its structure and working algorithms are defined. The application examples relating to environmental education at different levels are given.…”
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Professional Evolution of School Teacher on Basis of Advanced Pedagogical Experience by N. L. Sokolova

“…The study of the problems associated with the introduction of the relevant innovations in the educational process determines the main indicators and evaluation criteria of the reviewed work.…”
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Finding large independent sets in networks using competitive dynamics by M. N. Mooij, I. Kryven

“…Abstract Many decision-making algorithms draw inspiration from the inner workings of individual biological systems. …”
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Asymmetries of thermal processes in open quantum systems by Álvaro Tejero, Rafael Sánchez, Laiachi El Kaoutit, Daniel Manzano, Antonio Lasanta

“…Relaxation to thermal equilibrium is the most important dissipative process, being a key concept for the design of heat engines and refrigerators, contributing to the study of foundational questions of thermodynamics, and being relevant for quantum computing through the process of algorithmic cooling. …”
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A review of dynamic scene reconstruction based on neural representation by LU Ping, SUN Junjie, LI Wan, LIN Jiaxin, LIU Hong, LIU Hong, FENG Daquan

“…Furthermore, representative datasets were highlighted and common evaluation metrics for algorithms were summarized. Finally, the persistent challenges in current methodologies were discussed and potential directions for future development trends were proposed.…”
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Early Detection of Parkinson's Disease: Ensemble Learning for Improved Diagnosis by Raut Komal, Balpande Vijaya

“…This paper proposed several machine learning algorithms such as Decision Tree, Random Forest, Logistic Regression and Support Vector Machine and design an ensemble of these models to detect and classify Parkinson's disease. …”
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Comparative Assessment of Data Quality Dimensions in Scientific Multimedia Indexing Process by Hamid Hassani, Azadeh Mohebi, Mohammad Javad Ershadi

“…Appropriate methods and algorithms are those that lead to the improvement of various aspects of quality in the process of organizing and retrieving information. …”
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Sysmon event logs for machine learning-based malware detection by Riki Mi’roj Achmad, Dyah Putri Nariswari, Baskoro Adi Pratomo, Hudan Studiawan

“…An extensive set of experiment were conducted to look for the best approach and the most relevant features. Principal Component Analysis (PCA) was applied to select the most relevant features for both supervised and unsupervised learning models. …”
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An AI-Based Approach for Developing a Recommendation System for Underground Mining Methods Pre-Selection by Elsa Pansilvania Andre Manjate, Natsuo Okada, Yoko Ohtomo, Tsuyoshi Adachi, Bernardo Miguel Bene, Takahiko Arima, Youhei Kawamura

“…The study integrates and evaluates the capability of two approaches for mining methods selection (MMS): the memory-based collaborative filtering (CF) approach aided by the UBC-MMS system to predict the top-3 relevant mining methods and supervised machine learning (ML) classification algorithms to enhance the effectiveness and novelty of the AI-MMRS, addressing the limitations of the CF approach. …”
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Leveraging OGTT derived metabolic features to detect Binge-eating disorder in individuals with high weight: a “seek out” machine learning approach by Marianna Rania, Anna Procopio, Paolo Zaffino, Elvira Anna Carbone, Teresa Vanessa Fiorentino, Francesco Andreozzi, Cristina Segura-Garcia, Carlo Cosentino, Franco Arturi

“…Data from the classic (2 h) and the extended (5 h) glucose load were computed by multiple algorithms and two models with the most relevant features were trained to detect BED within the sample. …”
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Deep Fusion of Skeleton Spatial–Temporal and Dynamic Information for Action Recognition by Song Gao, Dingzhuo Zhang, Zhaoming Tang, Hongyan Wang

“…Focusing on the issue of the low recognition rates achieved by traditional deep-information-based action recognition algorithms, an action recognition approach was developed based on skeleton spatial–temporal and dynamic features combined with a two-stream convolutional neural network (TS-CNN). …”
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Open source automated insulin delivery systems: benefits, limitations and challenges in diabetes care by K. S. Shishin, V. V. Klimontov

“…Assembled on a do-it-yourself (DIY) basis, these systems integrate insulin pumps, continuous glucose monitoring devices, and algorithms that control the rate of insulin delivery based on glucose levels. …”
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A Review of Research on Flight Delay Propagation: Current Situation and Prospect by N. Li, H. G. Yao

“…Among the methods for predicting delay propagation, models based on machine learning algorithms account for a large proportion and have shown good prediction performance. …”
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