A new approach for prediction of the wear loss of PTA surface coatings using artificial neural network and basic, kernel-based, and weighted extreme learning machine by Mustafa Ulas, Osman Altay, Turan Gurgenc, Cihan Özel

“…The use of machine learning algorithms for wear loss quantity predictions is a potentially effective means to eliminate the disadvantages of experimental methods such as cost, labor, and time. …”
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OPTIMAL AIRCRAFT CONTROL SYNTHESIS BASED ON THE EQUATIONS OF NON-LINEAR DYNAMICS by V. F. Dil, V. N. Sizykh

“…The authors define method stages of flying level synthesis which include: selection of aircraft reference movements in accordance with three degrees of freedom, structuring the control algorithms and their parameters, defining the proximity of current and reference movements by means of a quadratic functional and further extremum-minimum movement organization by the gradient method. …”
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Sea surface temperature retrieval from MSG/SEVIRI data in the Baltic Sea area by Monika Woźniak, Adam Krężel

“…The aim of the paper was to confirm the proposition that the classical SST algorithms MCSST and NLSST originally prepared for AVHRR data could also be used for Meteosat/SEVIRI data with satisfactory accuracy in the mid-latitude region, where the spatial resolution is about 7x7 km. …”
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Uniting and reigniting critical Wikimedia research by Steve Jankowski, Heather Ford, Andrew Iliadis, Francesca Sidoti

“…Over the past fifteen years, Wikimedia's technical relationships and social meanings have shifted from supporting the creation of an encyclopedia that seeks to store humanity's knowledge to a pivotal component of global technical infrastructure. …”
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Autocompleting inequality by Mike Zajko

“…Fine-tuning becomes a means by which some social hierarchies are reproduced, reshaped, and flattened. …”
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AI-Powered Social Media for Development in Low- and Middle-Income Countries by Borany Penh

“…Social media powered by AI has become a major means for influencing beliefs and behaviors. Its unprecedented analytical, personalization, and scaling capabilities could transform economic, health, and other development outcomes in low- and middle-income countries (LMICs). …”
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Calculation of Voltage-Current Characteristics of Field-Effect Transistors in Integrated Circuits by Analytical Methods by V. A. Bondarev

“…This cannot be usually carried out by means of existing numerical schemes. Algorithms for determination of an electron mobility and quasi-Fermi levels are developed. …”
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Challenging the Selfie: Perfect Skin by Chatonsky by Claire Larsonneur

“…These distorted and serialised images, “organes sans corps” to take up Deleuze’s famous concept, may pertain to a regime of meaning based on affect, as defined by Brian Massoumi, rather than on mimesis.…”
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Multilabel Classification Using Low-Rank Decomposition by Bo Yang, Kunkun Tong, Xueqing Zhao, Shanmin Pang, Jinguang Chen

“…Specifically, the ambiguity of an instance in the input space means that there are multiple corresponding labels in the output space. …”
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Joined Spatial and Spectral Segmentation of Hyperspectral Datasets on Historical Art Objects by Lingxi Liu, Aurore Malmert, Emeline Pouyet, Silvia Mirri, Giovanni Delnevo

“…This facilitates applying various machine learning algorithms, especially the soft clustering algorithms Fuzzy C-Means clustering (FCM) and Gaussian Mixture Models (GMM), to classify spectra into distinct colourant groups, identifying complex mixtures and areas of degradation. …”
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Dostoevsky in Japanese Translations: The Problem of Textual Images by U. P. Strizhak

“…Different linguistic means are used to analyze the perception of the concept “love” as love-affection or love-passion, and concept “strange” as human essential or social characteristic in Russian and Japanese. …”
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A Dynamic Measurement System Based on Adaptive Clustering and Multi-Classifier by Bowen Shi, Hongjian You, Huixian Wang

“…The paper presents a target feature responder based on K-means clustering, used for categorizing samples and training models. …”
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Automated Audiometry as the Screening of Hearing in Schoolchildren: Literature Review and Own Experience by Aleksandr V. Pashkov, Irina V. Naumova, Irina V. Zelenkova, Leila S. Namazova-Baranova, Elena A. Vishneva, Ksenia I. Voevodina

“…Automated audiometry is an example of automated diagnostic procedure based on algorithms and technical means for recording acoustic threshold in order to determine the hearing conditions. …”
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TSCAPE: time series clustering with curve analysis and projection on an Euclidean space by Jeremy Renaud, Raphaël Couturier, Christophe Guyeux, Benoit Courjal

“…The results demonstrate the method's superiority over “only distance comparison clustering techniques”, like dynamic time warping and K-Means, with future prospects aimed at predictive applications and refining the clustering process by exploring alternative, more powerful clustering algorithms.…”
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Unsupervised machine learning-based stratification and immune deconvolution of liver hepatocellular carcinoma by Mae Montserrat Reierson, Animesh Acharjee

“…Methods The unsupervised machine learning methods— agglomerative hierarchical clustering, Multi-Omics Factor Analysis with K-means++, and an autoencoder with K-means++ — stratified patients using microarray data from HCC samples. …”
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Privacy-Preserving Detection of Tampered Radio-Frequency Transmissions Utilizing Federated Learning in LoRa Networks by Nurettin Selcuk Senol, Mohamed Baza, Amar Rasheed, Maazen Alsabaan

“…We evaluated the performance of multiple FL-enabled anomaly-detection algorithms, including Convolutional Autoencoder Federated Learning (CAE-FL), Isolation Forest Federated Learning (IF-FL), One-Class Support Vector Machine Federated Learning (OCSVM-FL), Local Outlier Factor Federated Learning (LOF-FL), and K-Means Federated Learning (K-Means-FL). …”
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E-MONEY FROM THE TECHNOLOGICAL POINT OF VIEW by N. N. Kolosovskaya

“…The civil law of the Russian Federation considers crypto currency as an informal payment means for which it is necessary to develop in the very near future an appropriate legal regime. …”
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Context-Aware Scheduling of Distributed DL-Reasoning Tasks in Wireless Sensor Networks by Stijn Verstichel, Bruno Volckaert, Bart Dhoedt, Piet Demeester, Filip De Turck

“…Wireless sensor networks (WSNs) provide a means to acquire lots of raw data from vast amounts of easy-to-deploy sensors. …”
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Speech emotion recognition using long-term average spectrum by Huerta-Hernández Luis David, Meléndez-Acosta Nayeli Joaquinita, Troncoso-Romero David Ernesto, Ramírez-Pacheco Julio César, León-Borges Jose Antonio

“…The performance of classification algorithms depends on the features extracted from speech. …”
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Use Cases of Machine Learning in Queueing Theory Based on a <i>GI</i>/<i>G</i>/<i>K</i> System by Dmitry Efrosinin, Vladimir Vishnevsky, Natalia Stepanova, Janos Sztrik

“…ML algorithms are used also to solve both parametric and dynamic optimization problems. …”
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