From School to Industry : The Relevance of Vocational School Competencies in Machining Technology to Manufacturing Industry Needs by Zhahrotul Zhahara, Agus Solehudin, Ega Taqwali Berman

“…This study aims to analyze the relevance of technical machining skills competencies at SMK Negeri 1 Karawang to labor needs in the manufacturing industry sector. …”
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THE IMPACT OF THE COMMON AGRICULTURAL POLICY ON THE EUROPEAN AGRICULTURAL SECTOR SUSTAINABILITY BY USING A MACHINE-LEARNING APPROACH by Ștefan-Mihai PETREA, Alina MOGODAN, Ira-Adeline SIMIONOV, Aurelia NICA, Dragoș Sebastian CRISTEA, Mihaela NECULIȚĂ

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Assessing the Level of Employment in the Informal Sector of the Economy of Russian Regions Using Modern Machine Learning Methods by Aleksey Nikolaevich Borisov, Aleksandr Ivanovich Borodin, Roman Vladimirovich Gubarev, Evgeny Ivanovich Dzuyba, Oksana Mikhaylovna Kulikova

“…Therefore, the improvement of the mechanism of state social protection of those employed in the informal sector of the economy remains an urgent relevant issue for our country, which, in turn, implies monitoring of the situation. …”
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Digitalization of Agriculture Sector in Japan by K. S. Kostyukova

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Features of the use of big data in the financial sector by F. O. Chernenkov

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Machine Learning Based Localization of LoRa Mobile Wireless Nodes Using a Novel Sectorization Method by Madiyar Nurgaliyev, Askhat Bolatbek, Batyrbek Zholamanov, Ahmet Saymbetov, Kymbat Kopbay, Evan Yershov, Sayat Orynbassar, Gulbakhar Dosymbetova, Ainur Kapparova, Nurzhigit Kuttybay, Nursultan Koshkarbay

“…A novel approach is proposed, based on the preliminary division of the room into sectors using a Received Signal Strength Indicator (RSSI) fingerprinting technique combined with machine learning (ML). …”
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A Systematic Mapping Study on Machine Learning Techniques Applied for Condition Monitoring and Predictive Maintenance in the Manufacturing Sector by Thuy Linh Jenny Phan, Ingolf Gehrhardt, David Heik, Fouad Bahrpeyma, Dirk Reichelt

“…Relevant literature was considered between January 2011 and May 2021. …”
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BEYOND TRADITIONAL METRICS: ESG AND FINANCIAL PERFORMANCE IN INNOVATION-DRIVEN SECTORS by ANNALISA FERRARI, FEDERICO CINI, ROSELLA CASTELLANO

“…This study explores the relationship between Environmental, Social, and Governance (ESG) ratings and financial performance within technology-intensive sectors. Although the link between ESG factors and financial performance is widely recognized, its specific relevance to the Technology and Telecommunications sector, which is innovation-driven and has unique characteristics compared to traditional industries, remains largely unexplored. …”
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Advanced Planning Systems in Production Planning Control: An Ethical and Sustainable Perspective in Fashion Sector by Martina De Giovanni, Mariangela Lazoi, Romeo Bandinelli, Virginia Fani

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Automated System for OEE Management in the Industrial Sector by Diego Gomez, Sofia Pantoja, Enoc Acosta, David Arrieta, Sebastián Gutiérrez

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RESEARCH OF TRENDS IN DEMAND FOR STEM SKILLS IN THE ECONOMIC SECTOR by Wen Zhang

“…Therefore, analyzing trends in demand for STEM skills in the economic sector becomes relevant. Materials and methods. …”
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Obstetrical ultrasound training of and practise by general practitioners in the private sector, Free State by S. Foulkes, G. Joubert, B.L. Faber, L.A. Hiemstra

“…Background: The aim of the study was to determine the level of obstetrical ultrasound training and practice of general practitioners in the Free State private sector. Methods: In this descriptive study, questionnaires were mailed to all general practitioners in the Free State private sector. …”
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Leasing impact on transformation processes in the Russian agricultural sector under sanctions pressure by A. A. Kiritsa, Yu. V. Chutcheva

“…At   the present stage, the issues of   sustainable development of  the Russian agricultural sector and strengthening its technical potential in  the context of   sanctions pressure are becoming especially relevant. …”
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Comprehending the theoretical knowledge and practice around AI-enabled innovations in the finance sector by Omar Ali, Peter A. Murray, Ahmad Al-Ahmad, Il Jeon, Yogesh K. Dwivedi

“…This study adopts a comprehending theory (CT) approach towards understanding machine learning (ML) for theory and practice within the finance sector. …”
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Evaluation of predictive maintenance efficiency with the comparison of machine learning models in machining production process in brake industry by Can Aydın, Burak Evrentuğ

“…Background The utilization of technologies such as artificial intelligence (AI) and machine learning (ML) in industrial sectors has become a crucial requirement to enhance the efficiency and stability of production processes. …”
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Detection of fraud in public procurement using data-driven methods: a systematic mapping study by Everton Schneider dos Santos, Matheus Machado dos Santos, Márcio Castro, Jônata Tyska Carvalho

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Digital Requirements for Systems Analysts in Europe: A Sectoral Analysis of Online Job Advertisements and ESCO Skills by Konstantinos Charmanas, Konstantinos Georgiou, Nikolaos Mittas, Lefteris Angelis

“…In this context, the objectives of this study are to investigate the sets of digital skills from the European Skills, Competences, Qualifications, and Occupations (ESCO) taxonomy required by systems analysts in Europe and examine the key characteristics of various relevant sectors. For this purpose, a tool combining topic extraction, machine learning, and statistical analysis is utilized. …”
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Prediction of induction motor faults using machine learning by Ademola Abdulkareem, Tochukwu Anyim, Olawale Popoola, John Abubakar, Agbetuyi Ayoade

“…The study involved the acquisition of a dataset comprising healthy and faulty conditions of four 3-phase induction motors, along with relevant features for fault prediction. Multiple machine learning algorithms were trained using this dataset, exhibiting promising performance. …”
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Envisioning Human–Machine Relationship Towards Mining of the Future: An Overview by Peter Kolapo, Nafiu Olanrewaju Ogunsola, Kayode Komolafe, Dare Daniel Omole

“…Despite the substantial benefits and promising potential of automation in the mining sector, its adoption faces challenges due to concerns about human–machine interaction. …”
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AI in Context: Harnessing Domain Knowledge for Smarter Machine Learning by Tymoteusz Miller, Irmina Durlik, Adrianna Łobodzińska, Lech Dorobczyński, Robert Jasionowski

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