Predictive Models for Educational Purposes: A Systematic Review by Ahlam Almalawi, Ben Soh, Alice Li, Halima Samra

“…In addition, reliance on varying data processing methods across studies reduces the generalisability of current models. …”
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A Method for Developing a Digital Terrain Model of the Coastal Zone Based on Topobathymetric Data from Remote Sensors by Mariusz Specht, Marta Wiśniewska

“…It should be emphasised that bathymetric data for the shallow waterbody (less than 1 m deep) were obtained based on high-resolution photos taken by a UAV. They were processed using the “Depth Prediction” plug-in based on the Support Vector Regression (SVR) algorithm, which was implemented in the QGIS software as part of the INNOBAT project. …”
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Subregion-based radiomics analysis for predicting the histological grade of clear cell renal cell carcinoma by Xue Lv, Xiao-Mao Dai, Dai-Quan Zhou, Na Yu, Yu-Qin Hong, Qiao Liu

“…The logistic regression (LR) and support vector machine (SVM) models constructed using 3 candidate RFs selected from subregion 1 demonstrated the best predictive performance, with AUCs of 0.78 and 0.77 for the internal test set and 0.74 and 0.77 for the external validation set, respectively. …”
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Keywords, morpheme parsing and syntactic trees: features for text complexity assessment by Dmitry A. Morozov, Ivan A. Smal, Timur A. Garipov, Anna V. Glazkova

“…The methods for generating a feature vector when automatically assessing the text complexity are quite diverse. …”
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Predicting student next-term performance in degree programs using AI-based approach: a case study from Ghana by John-Bosco Diekuu, M. S. Mekala, Ulric Sena Abonie, John Isaacs, Eyad Elyan

“…Eight semesters of data representing 3,093 undergraduate Health Sciences students was collected from a public university in Ghana, analyzed, pre-processed and transformed into a time-series format. …”
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EVALUATION OF THE FORMATION AND VORTEX TRACE INFLUENCE OF LIGHT UNMANNED MULTICOPTERS by V. P. Asovsky, A. S. Kuzmenko

“…Thus the influence of inductive velocities of these vehicles on the objects and some processes of aerial works is the topical issue. The article considers the problems of evaluation of vortex trace formation and description of inductive velocities field within the flying area of light unmanned multicopters which are the most popular and promising for the performance of the basic aerial works. …”
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The Formation of the Crimean Tatar Li­terary Language Based on the Urban Koine of Bakhchisaray in the seventeenth and eigh­teenth century by Rustemov O.D, Stepanov E.N.

“…They provide the best way to trace the processes of the formation of norms in the general Crimean supra-dialect koine, which based on the capital’s koine. …”
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FREEDOM OF THE INFORMATION SPACE. IS IT A REALITY OR ILLUSION? by Elena V. Korableva

“…The purpose: to define and analyze the limits of freedom and personal fulfillment in the information space in accordance with the change of the vector information and technical characteristics of social development. …”
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An ensemble learning framework for enhanced anomaly and failure detection in IoT systems by Ismail Bibers, Mustafa Abdallah

“…By integrating diverse machine learning models including decision trees, support vector machines, and neural networks through techniques such as bagging, boosting, blending, and stacking, our approach aims to enhance detection accuracy and robustness against evolving threats. …”
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Comparative Analysis of Specular and Diffuse Reflection Near-Infrared Spectra in Wood Species Classification by Cheng-Kun Wang, Peng Zhao, Li-Na Dong, Mao-Ni Zhao

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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

“…Sentiment analysis is a text processing technique aimed at identifying opinions and emotions within a sentence. …”
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A comprehensive review of AI-based brain-computer interface with prefrontal cortex and sensory-motor rhythms systemization for rehabilitation by Anna Latha M, Ramesh R

“…Appropriate works in the field have validated an exhaustive account of the signal processing approaches, like preprocessing, feature extraction, and classification. …”
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Sociolinguistic projects of the "Language Unit of the Year" type: categorization and dynamics of development by T. A. Dolgaya

“…A meaningful change in the interest vector of the public, media actors and researchers towards other semiotic units, like gestures, hieroglyphs, numbers, emoji, and memes, has been revealed.…”
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Ensemble prediction modeling of flotation recovery based on machine learning by Guichun He, Mengfei Liu, Hongyu Zhao, Kaiqi Huang

“…With the rise of artificial intelligence (AI) in mineral processing, predicting the flotation indexes has attracted significant research attention. …”
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Near-Infrared Spectroscopy and Machine Learning for Fast Quality Prediction of Bottle Gourd by Xiao Guo, Hongyu Huang, Haiyan Wang, Chang Cai, Ying Wang, Xiaohua Wu, Jian Wang, Baogen Wang, Biao Zhu, Yun Xiang

“…The processed spectral data were further processed using feature importance selection to select the feature bands that had the highest correlation with protein and FAAs, respectively. …”
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geodl: An R package for geospatial deep learning semantic segmentation using torch and terra. by Aaron E Maxwell, Sarah Farhadpour, Srinjoy Das, Yalin Yang

“…Using geodl, geospatial raster-based data with varying numbers of bands, spatial resolutions, and coordinate reference systems are read and processed using the terra package, which makes use of C++ and allows for processing raster grids that are too large to fit into memory. …”
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Mapping and Spatial Analysis of the Development of the Administrative Borders of Stavropol Region in 1785–2021 by Igor Yurievich Katorgin, Alexander Nikolaevich Roman

“…The construction of geoinformation models was carried out using the calculation of rasters obtained as a result of vector-raster transformations of the boundaries of ATD units. …”
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Optimization of Sampling Cell Size for Fingerprint Positioning by Wei Liu, Yongle Chen, Yongping Xiong, Limin Sun, Hongsong Zhu

“…We adopted the Gaussian process model to estimate the received signal strength based on some samples and used the inherent maximum Euclidean error of fingerprint vectors to compute the optimal cell size. …”
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Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification by Andrea González-Ramírez, Clement Atzberger, Deni Torres-Roman, Josué López

“…This averaged reconstruction difference vector is the base for the representations and the subsequent classification. …”
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The Classification of Metastatic Spine Cancer and Spinal Compression Fractures by Using CNN and SVM Techniques by Woosik Jeong, Chang-Heon Baek, Dong-Yeong Lee, Sang-Youn Song, Jae-Boem Na, Mohamad Soleh Hidayat, Geonwoo Kim, Dong-Hee Kim

“…Using these preprocessed datasets, convolutional neural network (CNN) and support vector machine (SVM) models were built. The T1-weighted image-based CNN model demonstrated high sensitivity (1.00) and accuracy (0.98) in identifying metastatic spine cancer, particularly with data processed by Otsu’s binarization and Canny edge detection, achieving exceptional performance in detecting cancerous cases. …”
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