Defect Detection of Pandrol Track Fastener Based on Local Depth Feature Fusion Network by Zhaomin Lv, Anqi Ma, Xingjie Chen, Shubin Zheng

“…There are three main problems in track fastener defect detection based on image: (1) The number of abnormal fastener pictures is scarce, and supervised learning detection model is difficult to establish. (2) The potential data features obtained by different feature extraction methods are different. …”
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JOB DESIGN IN THE FUNCTION OF IMPROVING THE JOB PERFORMANCE OF THE EMPLOYEES IN BOSNIA AND HERZEGOVINIAN COMPANIES by Alma Kovačević, Adisa Delić

“…New ways are sought to build and preserve competitive advantages, thus recognising that knowledge and learning are the key factors of success in the new economy. …”
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Stock Price Change Rate Prediction by Utilizing Social Network Activities by Shangkun Deng, Takashi Mitsubuchi, Akito Sakurai

“…In this paper, we propose a hybrid model that combines multiple kernel learning (MKL) and genetic algorithm (GA). MKL is adopted to optimize the stock price change rate prediction models that are expressed in a multiple kernel linear function of different types of features extracted from different sources. …”
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Augmented reality technology and possibilities of its use in teaching computer science to junior schoolchildren by Yulia E. Zenkina

“…The author of the article argues, that augmented reality technology makes it possible to introduce elements of entertainment and interactivity into the learning process, as well as gamify the process of transmitting knowledge that has a positive impact on the development of cognitive interest of younger schoolchildren in mastering both computer science and mathematics, with which the study of computer capabilities is successfully integrated. …”
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A Review Article: Mitigation Strategies for Seismic Damage in Structures by Raihana M. Ejam, Hatem Hadi Obeid

“…Additionally, the review discusses the potential of machine learning techniques in predicting seismicity rates and improving risk management in seismic-prone areas. …”
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Basic educational competences of stomatology professors: their improvement by Clotilde de la Caridad Mora Pérez, Maria Elena Cobas Rodriguez, Jorge Rodríguez López, Pedro Alvarez Rodríguez, Maricela Seijo Machado, Sahily Espino Otero

“…<strong>Background</strong>: Stomatology professors should master the appropriate educational competences to make the students learn and build their own learning according to contemporary pedagogical trends in Medical Education. …”
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Assessment of the Difficulty Level of Science Questions Using the TIMSS Question Semantic Evaluation for Grade IV Elementary School Students by Muhammad Romli, Ida Bagus Putu Arnyana, I Wayan Suastra

“…Based on this understanding, test results can be evaluated more comprehensively, thus improving the quality of learning. Educators can identify students' difficulties and needs in understanding the tested concepts and design appropriate interventions to enhance their understanding …”
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Investigation of ANN Architecture for Predicting Load-Carrying Capacity of Castellated Steel Beams by Thuy-Anh Nguyen, Hai-Bang Ly, Van Quan Tran

“…The ANN model seems to be the best algorithm of machine learning for predicting the CSB load-carrying capacity.…”
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Risk in management decisions of the modern organization and methods of management of this risk by Veronika Holomozenko, Yuliia Stasiuk

“…Key risk management techniques such as quantitative and qualitative risk assessment tools, scenario analysis, and the use of advanced technologies such as artificial intelligence and machine learning are discussed. The study also discusses the role of risk management committees and the importance of establishing a risk-aware culture in an organization. …”
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Examining authorship in publications in selected health professions education journals by Anusmriti Guragain, Pathiyil Ravi Shankar, Ian G. Wilson

“…The Scopus quartile one (Q1) journals Academic Medicine, BMC Medical Education, Medical Education, Medical Education Online, Medical Teacher, and Teaching and Learning in Medicine were examined. The year of publication, the type of article, and the income status of the country of the first author were noted. …”
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Histopathology and proteomics are synergistic for high-grade serous ovarian cancer platinum response prediction by Oz Kilim, Alex Olar, András Biricz, Lilla Madaras, Péter Pollner, Zoltán Szállási, Zsofia Sztupinszki, István Csabai

“…Our study demonstrates that combining H&E-stained whole slide images (WSIs) with proteomic signatures using a multimodal deep learning framework significantly improves the prediction of platinum response in both discovery and validation cohorts. …”
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Design and modeling of a nanocomposite system for demineralization of sweet whey by Mina Rezapour, Mohsen Esmaiili, Mehdi Mahmoudian, Alireza Behrooz Sarand

“…The dynamic flux behavior of whey output and salt rejection from whey was modeled using convolutional neural network (CNN) machine learning tools. Linear and non-linear correlations demonstrated that the CNN model correlates well with experimental data on dynamic flux (R2–1.00). …”
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Digital Twins: Strategic Guide to Utilize Digital Twins to Improve Operational Efficiency in Industry 4.0 by Italo Cesidio Fantozzi, Annalisa Santolamazza, Giancarlo Loy, Massimiliano Maria Schiraldi

“…The proposed methodology integrates key enabling technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning to create accurate digital replicas of manufacturing systems. …”
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Quantum-inspired K-nearest neighbors classifier for enhanced printer source identification in forensic document analysis by Saad M. Darwish, Raad A. Ali, Adel A. Elzoghabi

“…However, identifying consistent patterns across different printers remains challenging, especially when perpetrators attempt to obscure these artifacts. Machine learning models in this field must identify discriminative features that differentiate printers while minimizing noise. …”
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Fractal-Based Robotic Trading Strategies Using Detrended Fluctuation Analysis and Fractional Derivatives: A Case Study in the Energy Market by Ekaterina Popovska, Galya Georgieva-Tsaneva

“…Findings from this research show how the combination of fractals with statistical and machine learning models can improve complex trading strategies implementation for the energy markets.…”
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Evaluating a task-based lesson plan: A case study of Turkish EFL learners by Vildan İnci Kavak

“…These results validate the potential of TBL for language learning. Thus, it should be considered an indelible part of EFL syllabi and courses.…”
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The Design of Academic Programs Using Rough Set Association Rule Mining by Mofreh A. Hogo

“…One of the required documents is the program’s self-study report (SSR), which includes the PEO-SO map (which allocates the program’s educational objectives (PEOs) to student learning outcomes (SOs)). It influences program structure design, performance monitoring, assessment, and continuous improvement. …”
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Covariate-adjusted construction of gene regulatory networks using a combination of generalized linear model and penalized maximum likelihood. by Omid Chatrabgoun, Alireza Daneshkhah, Parisa Torkaman, Mark Johnston, Nader Sohrabi Safa, Ali Kashif Bashir

“…Many machine learning techniques have been used to construct gene regulatory networks (GRNs) through precision matrix that considers conditional independence among genes, and finally produces sparse version of GRNs. …”
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Dynamics and triggers of misinformation on vaccines. by Emanuele Brugnoli, Marco Delmastro

“…Then, leveraging deep learning models capable to accurately classify vaccine-related content based on the conveyed stance and discussed topic, respectively, we evaluate the focus on various topics by news sources promoting opposing views and compare the resulting user engagement. …”
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Major trends in human capital development in modern information technology market by A. R. Babayants, A. V. Zakharov

“…The main trends in human capital development in the modern IT market include a shift in emphasis towards soft skills, digital literacy as a universal competence, the active role of personnel in self-development, expansion of opportunities to acquire competencies (e-learning and digital universities), development of competencies within companies, and involvement of Generation Z representatives in labor relations. …”
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