A Bag-of-Words Approach for Information Extraction from Electricity Invoices by Javier Sánchez, Giovanny A. Cuervo-Londoño

“…It is typical to rely on machine-learning techniques to automate the process, reduce manual labor, and minimize errors. …”
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ALGORITHMIC AND PROGRAM IMPLEMENTATION OF THE PLAGIARISM DEFINITION IN LEARNING MANAGEMENT SYSTEMS by Y. B. Popova, A. V. Goloburda

“…The work deals with the methods of shingles, super-shingles, signature methods, vector models of text representation, as well as cluster analysis of text information. …”
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Quantum chimp-enanced SqueezeNet for precise diabetic retinopathy classification by Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah, Yousef A. Alduraywish, Alishba Tahir, Haixia Long

“…Firstly, SqueezeNet enables efficient feature extraction from segmented fundus images with minimal computational complexity, ensuring that critical retinal features are captured effectively. The classification process, QCOA optimizes the Support Vector Machine (SVM) parameters and performs feature selection. …”
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Advancing risk assessment in renewable power plant construction: an integrated DEA-SVM approach by Reza Rasinojehdehi, Seyyed Najafi

“…Subsequently, a SVM is developed to monitor the process, concluding with tailored risk treatment and monitoring processes specifically designed for the unique context of Iran's solar energy landscape.…”
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Significance of vertical transmission of arboviruses in mosquito-borne disease epidemiology by Oliver Chinonso Mbaoma, Stephanie Margarete Thomas, Carl Beierkuhnlein

“…Vertical transmission (VT) which refers to a process where infected mosquitoes transmit viruses to their offsprings have been often overlooked in MBD epidemiology. …”
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Applications of remote sensing and GIS techniques for identifying of the plastic waste from space: Evidence from Khulna city corporation in Bangladesh by Md Nahid Ferdous, Mohammad Ismail Hossain, Mohammed Manik

“…A total of 60 samples have been taken in this study, out of which 80% (48) have been taken as training samples and the remaining 20% (12) have been taken as testing samples, and the entire process was done using ArcGIS 10.8. This analysis revealed that algorithms used in this study successfully identify plastic waste on land, and between two algorithms, support vector classification achieves the highest accuracy (93%). …”
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Fake News Detection System using Machine Learning with Recurrent Neural Networks by Kuditat O. Jimoh, Lawrence O. Omotosho, Ibrahim K. Ogundoyin, Olajide Y. Adebayo

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Microsporidian infection of mosquito larvae changes the host-associated microbiome towards the synthesis of antimicrobial factors by Artur Trzebny, Abigail D. Taylor, Jeremy K. Herren, Johanna K. Björkroth, Sylwia Jedut, Miroslawa Dabert

“…The host-associated microbiome of the mosquito can play a pivotal role in various physiological processes of this host, including its vector competence for pathogens. …”
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Identifying presence or absence of grizzly and polar bear cubs from the movements of adult females with machine learning by Erik M. Andersen, Justin G. Clapp, Milan A. Vinks, Todd C. Atwood, Daniel D. Bjornlie, Cecily M. Costello, David D. Gustine, Mark A. Haroldson, Lori L. Roberts, Karyn D. Rode, Frank T. van Manen, Ryan R. Wilson

“…Methods We trained support vector machines (SVMs) with eight variables derived from telemetry data of female grizzly (2000–2022) and polar bears (1985–2016) with or without cubs during seven periods with lengths ranging from 5 to 60 days starting at den departure. …”
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Investigation of cell development and tissue structure network based on natural Language processing of scRNA-seq data by Suwen Wei, Yuer Lu, Peng Wang, Qichao Li, Jianwei Shuai, Qi Zhao, Hai Lin, Yuming Peng

“…Using word2vec to embed gene sequences derived from gene networks, we generate vector representations of genes, which are then used to represent cells by summing gene vectors and subsequently tissues by aggregating cell vectors. …”
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Iterative Signal Processing for Blind Code Phase Acquisition of CDMA 1x Signals for Radio Spectrum Monitoring by Ron Kerr, John Lodge

“…The approach models the combination of the long-code generator and the two short-code generators, along with the pair-wise processing, by a single linear system over GF(2), with the initial states of the long- and short-code generators forming the input vector. …”
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Neural network recognition algorithm of breath sounds based on SVM by Gou-dong LIU, Jing XU

“…A SVM neural network (support vector machines) for breath sounds recognition algorithm was advanced,breath sounds feature obtained through wavelet analysis were input into neural networks and carried on the training to the training samples as a feature of SVM method input in order to classify the test samples.Three States (normal,mild and severe lesions) of breath sounds were recognized,and K nearest neighbor (KNN) methods are compared .The results show that SVM method has a higher recognition accuracy and can be used to recognize different breath sounds,which settled the local extremum problem that cannot be avoided in the neural network method and provide an effective algorithm for information processing in body area network technology.…”
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New anisotropic diffusion method to improve radiographic image quality by Mohamed B. Gharsallah, Ezzedine B. Braiek

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Structure and Principles of Operation of a Quaternion VLSI Multiplier by Aleksandr Cariow, Mariusz Naumowicz, Andrzej Handkiewicz

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VIRTUAL MODELS OF LIGHT BACKSCATTERING IN RING LASERS by A. S. Bessonov, E. A. Petrukhin

“…A mathematical description of the backscattering processes based on the determination of the complex coupling parameters of counterpropagating waves is presented. …”
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Improvement of metaphor understanding via a cognitive linguistic model based on hierarchical classification and artificial intelligence SVM by Dongmei Zhu

“…Abstract This study aims to enhance computers’ ability to understand and generate metaphors, offering a novel perspective and technical approach in the field of natural language processing. It proposes a metaphor recognition algorithm that combines a Convolutional Neural Network (CNN) with a Support Vector Machine (SVM). …”
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Citizen Science and Multimedia Didactic Resources: Knowledge of Mosquito-Borne Diseases in an Urban Area of Southwestern Colombia by Francisco Javier Bedoya-Rodríguez, Carlos Eduardo Guevara-Fletcher, Jonathan S. Pelegrin

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Advancing Geotechnical Evaluation of Wellbores: A Robust and Precise Model for Predicting Uniaxial Compressive Strength (UCS) of Rocks in Oil and Gas Wells by Mohammadali Ahmadi

“…The investigation encompasses Linear Regression, ensemble methods (including Random Forest, Gradient Boosting, XGBoost, and LightGBM), support vector machine-based regression (SVM-SVR), and multilayer perceptron artificial neural network (MLP-ANN) models. …”
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Title not available by Bouali, Fakhreddine, Fedala, Semchedine, André, Hugo, Felkaoui, Ahmed

“…These methods require the construction of a Feature Vector (FV) generally composed of indicators calculated from time sampled vibration signals. …”
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Comparative Study of SVM, KNN, and Naïve Bayes for Sentiment Analysis of Religious Application Reviews by Heti Aprilianti, Khothibul Umam, Maya Rini Handayani

“…This study aims to evaluate and compare the performance of three machine learning algorithms—Support Vector Machine (SVM), K-Nearest Neighbors (K-NN), and Naïve Bayes—for sentiment classification of user reviews on the NU Online application in the Google Play Store. …”
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