Machine learning in environmental sustainability factor analysis in the agricultural sector by Kukartsev Vladislav, Kozlova Anastasia, Kukarceva Svetlana

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A machine learning approach to identifying climate change drivers in Africa’s bioenergy sector by Adusei Bofa, Temesgen Zewotir

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REVOLUTIONIZING LUXURY: THE ROLE OF AI AND MACHINE LEARNING IN ENHANCING MARKETING STRATEGIES WITHIN THE TOURISM AND HOSPITALITY LUXURY SECTORS by Maria Nascimento CUNHA, Manuel PEREIRA, António CARDOSO, Jorge FIGUEIREDO, Isabel OLIVEIRA

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Sustainable development in the tourism sector: The impact of environmental, social, and governance performance on operational efficiency—A multilevel analytical approach by Yu Zhang, Hon Tat Huam, Zi Rui Zhang

“…The industry heterogeneity analysis based on random forest and clustering models reveals differences in ESG-employment dynamics across sub-sectors. The pure tourism segment shows the strongest linkage between ESG performance and employment, outperforming accommodation and aviation sectors—likely due to its labor-intensive structure and direct consumer engagement. …”
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Physics-based parameters selection and machine learning driven prediction of pool boiling bubble departure diameter by Uzair Sajjad, Yu-Hao Chu, Haseeb Yaqoob, Akash Sengupta, Hafiz Muhammad Ali, Khalid Hamid, Wei-Mon Yan

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Ensemble Learning for Network Intrusion Detection Based on Correlation and Embedded Feature Selection Techniques by Ghalia Nassreddine, Mohamad Nassereddine, Obada Al-Khatib

“…Recent advancements across various sectors have resulted in a significant increase in the utilization of smart gadgets. …”
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A Systematic Analysis of Meteorological Parameters in Predicting Rainfall Events by Muhammad Salman Pathan, Pardhu Nadella, Yasin Ul Haq, Soumini Chaudhury, Jiantao Wu, Avishek Nag, Soumyabrata Dev

“…Accurate rainfall prediction is of paramount significance across diverse sectors, particularly in agriculture, where accurate predictions play a pivotal role in effective resource management and decision-making. …”
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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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Regional antimicrobial resistance gene flow among the One Health sectors in China by Yuqing Feng, Xin Lu, Jiayong Zhao, Hongmin Li, Jialiang Xu, Zhenpeng Li, Mengyu Wang, Yao Peng, Tian Tian, Gailing Yuan, Yuan Zhang, Jiaqi Liu, Meihong Zhang, A La Teng Zhu La, Geruo Qu, Yujiao Mu, Wanshen Guo, Yongning Wu, Yuyu Zhang, Dexiang Wang, Yongfei Hu, Biao Kan

“…Abstract Background Antimicrobial resistance poses a significant threat to global health, with its spread intricately linked across human, animal, and environmental sectors. Revealing the antimicrobial resistance gene (ARG) flow among the One Health sectors is essential for better control of antimicrobial resistance. …”
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Human-machine in the vortex of digital synergy by Vaclav Moravec, Beata Gavurova, Nik Hynek, Martin Rigelsky

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Predicting Scientific Research Impacts in Biotechnology by Machine Learning Algorithms by Ghasem Azadi Ahmadabadi

“…In this research, Pearson's correlation coefficient and the R software package were used to examine the relationships between the studied indicators. …”
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Determinants Factors in Predicting Life Expectancy Using Machine Learning by B. Kouame Amos, I. V. Smirnov

“…The results of this analysis can be used by the World Health Organization and the health sectors to improve society.…”
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Development of Machine Learning Models for Sandface Pressure Prediction in Oil Well by Lorraine P. Oliveira, Raul M. Foronda, Alexandre V. Grillo, Brunno F. dos Santos

“…The Oil & Gas (O&G) industry is increasingly leveraging Machine Learning (ML) techniques to predict well performance indicators, estimate missing operational metrics, and mitigate unexpected operational failures. …”
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Machine Learning Approaches to Predict Patient’s Length of Stay in Emergency Department by Mohammad A. Shbool, Omar S. Arabeyyat, Ammar Al-Bazi, Abeer Al-Hyari, Arwa Salem, Thana’ Abu-Hmaid, Malak Ali

“…This pandemic has impacted many sectors, including health in the Kingdom of Jordan. …”
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Financial Performance Index (FPIMS): a proposal to measure the performance and project execution capacity in manufacturing companies in Santander (COL) by Alfredo Enrique Sanabria-Ospino, Sandra Marcela Delgado-Ortiz, Nelson Antonio Moreno-Monsalve, William Stive Fajardo-Moreno

“…The manufacturing sector can be considered the main driver of economic growth in countries, as demonstrated by the macroeconomic variable GDP. …”
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TRENDS IN THE FORMATION AND CORRELATION OF CURRENT AND NON-CURRENT ASSETS OF AGRICULTURAL ENTERPRISES: A CASE STUDY OF UKRAINE by Oksana GRYTSYNA, Olha SHOLUDKO, Lyubov SYNYAVSKA, Oksana RUBAI, Myroslava ZABEDYUK, Yuliya STRIELKOVA

“…In preparation of work the complex methods of economic research used in this study were: monographic, critical analysis, structural and trend analysis, correlation-regression analysis, etc. The study found that in the current economic conditions, the technical potential and repair and maintenance base of the agricultural sector of Ukraine does not meet the requirements of scientifically sound needs of agricultural production. …”
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Predicting biomass transportation costs: A machine learning approach for enhanced biofuel competitiveness by Ali Omidkar, Razieh Es’haghian, Hua Song

“…Consequently, this study explores the predictive capabilities of two alternative machine learning algorithms: random forests and artificial neural networks. …”
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Machine Learning-Based Modeling with Optimization Algorithm for Predicting Mechanical Properties of Sustainable Concrete by Muhammad Izhar Shah, Shazim Ali Memon, Muhammad Sohaib Khan Niazi, Muhammad Nasir Amin, Fahid Aslam, Muhammad Faisal Javed

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Perceived Working Conditions and Intention to Adopt Digital Safety Training in High-Risk Productive Sectors: An Exploratory Study in Manufacturing and Agriculture in Northwest Ital... by Francesco Sguaizer, Lucia Vigoroso, Margherita Micheletti Cremasco, Federica Caffaro

“…These findings suggest that digital safety training requires customized content to effectively adapt to different productive sectors.…”
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Enhanced Heart Disease Diagnosis Using Machine Learning Algorithms: A Comparison of Feature Selection by Hirmayanti, Ema Utami

“…Meanwhile, for feature selection, several feature selection techniques are used, including information gain (IG), Chi-square (Chi2) and correlation feature selection (CFS). The use of these three techniques aims to obtain the main features so that they can minimize irrelevant features that can slow down the machine process. …”
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