Efficient Fault Diagnosis of Elevator Cabin Door Drives Using Machine Learning with Data Reduction for Reliable Transmission by Jakub Gęca, Dariusz Czerwiński, Bartosz Drzymała, Krzysztof Kolano

“…This article addresses the issue of the elevator cabin door drive system failure diagnosis. …”
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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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Organizational culture study as the system element of internal business communication by Liudmyla Kompaniiets

“…The issue is devoted to the study of modern processes in the sphere of decision-making and organizational communicational systems building. …”
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A novel system for automated continuous on-farm assessment of digital dermatitis using artificial intelligence by Ajmal Shahbaz, Wenhao Zhang, Melvyn Smith

“…By addressing the critical issue of lameness within the dairy industry, this combined cleaning and inspection system not only demonstrates pioneering precision in hoof identification and lesion classification but also offers a promising solution for early intervention and prevention of hoof diseases in dairy cattle. …”
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Identification of Marine Fish Taxa by Linear Discriminant Analysis of Reflection Spectra in the Near-Infrared Region by Novikov V., Baryshnikov A., Rysakova K., Shumskaya N., Uzbekova O.

“…The method for analyzing the NIR spectra of diffuse reflection was successfully used to identify plant and animal species, drugs, etc. The issue of identifying objects of marine fishery is currently extremely important for modern fisheries, environmental monitoring, and identifying counterfeit products. …”
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Klasifikasi Program Bantuan Sosial Menggunakan Algoritma K-Nearest Neighbor (K-NN)(Studi Kasus Kecamatan Malangbong Kabupaten Garut) by Hamzah Nurrifqi Fakhri Fikrillah

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Classification of Apples (<i>Malus × domestica</i> <span style="font-variant: small-caps">borkh.</span>) According to Geographical Origin, Variety and Production Method Using Liqui... by Jule Hansen, Iris Fransson, Robbin Schrieck, Christof Kunert, Stephan Seifert

“…Since the classification models largely use different parts of the data, which is shown by variable selection, this method is very well suited to answer different authentication issues with one analytical approach.…”
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LUCID: A Framework for Reducing False Positives and Inconsistencies Among Container Scanning Tools by Md Sadun Haq, Ali Saman Tosun, Turgay Korkmaz

“…To address the security issues, scanning tools that scan containers for preexisting vulnerabilities have been developed, but they suffer from false positives. …”
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Public sentiment and engagement on cybersecurity: Insights from Reddit discussions by Krishnashree Achuthan, Sugandh Khobragade, Robin Kowalski

“…We employ sentiment analysis, topic modeling, and zero-shot text classification to analyze 33,893 news and user posts, along with the corresponding 194,591 news and user comments, across five subreddit discussion forums between 2012 and 2022. …”
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Leveraging Machine Learning for Enhanced Bug Triaging in Open-Source Software Projects by Nitanta Adhikari, Rabindra Bista, Joao Carlos Ferreira

“…Bug triaging&#x2013;the process of classifying and assigning software issues to appropriate developers&#x2013;is a critical yet challenging task in large-scale software development. …”
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XIX world congress of psychiatry – an important stage in the development of general medical care for people suffering from mental diseases by N. A. Kornetov

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Multi-label feature selection based on dynamic graph Laplacian by Yonghao LI, Liang HU, Ping ZHANG, Wanfu GAO

“…In view of the problems that graph-based multi-label feature selection methods ignore the dynamic change of graph Laplacian matrix, as well as such methods employ logical-value labels to guide feature selection process and loses label information, a multi-label feature selection method based on both dynamic graph Laplacian matrix and real-value labels was proposed.The robust low-dimensional space of feature matrix was used to construct a dynamic graph Laplacian matrix, and the robust low-dimensional space was used as the real-value label space.Furthermore, manifold and non-negative constraints were adopted to transform logical labels into real-valued labels to address the issues mentioned above.The proposed method was compared to three multi-label feature selection methods on nine multi-label benchmark data sets in experiments.The experimental results demonstrate that the proposed multi-label feature selection method can obtain the higher quality feature subset and achieve good classification performance.…”
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A Ship Detector Design Based on Deep Convolutional Neural Networks for Satellite Images by Ferhat Ucar, Deniz Korkmaz

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Multi-label feature selection based on dynamic graph Laplacian by Yonghao LI, Liang HU, Ping ZHANG, Wanfu GAO

“…In view of the problems that graph-based multi-label feature selection methods ignore the dynamic change of graph Laplacian matrix, as well as such methods employ logical-value labels to guide feature selection process and loses label information, a multi-label feature selection method based on both dynamic graph Laplacian matrix and real-value labels was proposed.The robust low-dimensional space of feature matrix was used to construct a dynamic graph Laplacian matrix, and the robust low-dimensional space was used as the real-value label space.Furthermore, manifold and non-negative constraints were adopted to transform logical labels into real-valued labels to address the issues mentioned above.The proposed method was compared to three multi-label feature selection methods on nine multi-label benchmark data sets in experiments.The experimental results demonstrate that the proposed multi-label feature selection method can obtain the higher quality feature subset and achieve good classification performance.…”
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Artificial Neural Network and Latent Semantic Analysis for Adverse Drug Reaction Detection by Ahmed Adil Nafea, Nazlia Omar, Zohaa Mubarak Al-qfail

“…These methods train the classification model using annotated medical review data. …”
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Enhancing Software Sustainability: Leveraging Large Language Models to Evaluate Security Requirements Fulfillment in Requirements Engineering by Ahmad F. Subahi

“…The findings demonstrate the effectiveness of advanced ML models in automating NFR classification, improving software security, and supporting social sustainability. …”
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Artificial intelligence at the service of digital archives: reconstituting archival aggregations and enriching metadata schemas by Stefano Allegrezza

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Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices by Tess Watt, Christos Chrysoulas, Peter J. Barclay, Brahim El Boudani, Grigorios Kalliatakis

“…Image classification usually requires connectivity and access to the cloud, which is often limited in many parts of the world, including hard-to-reach rural areas. …”
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Facial Expression Recognition using Convolutional Neural Networks with Transfer Learning Resnet-50 by Annisa Ayu Istiqomah, Christy Atika Sari, Ajib Susanto, Eko Hari Rachmawanto

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Method for recycling waste generated in the production of fiberglass-reinforced plastic by Evgeniy G. Fedarovich, Alexander E. Levdanski, Anastasiya A. Kovaleva

“…A significant associated with large-scale production and application of these materials is the inevitable generation of waste, exerting a negative environmental impact. To address this issue, mechanical recycling of fiberglass waste is proposed, involving selective grinding in an impact-centrifugal mill followed by mechanical classification of the ground products. …”
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