Assessing the diagnostic accuracy of machine learning algorithms for identification of asthma in United States adults based on NHANES dataset by Omid Kohandel Gargari, Mobina Fathi, Shahryar Rajai Firouzabadi, Ida Mohammadi, Mohammad Hossein Mahmoudi, Mehran Sarmadi, Arman Shafiee

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The Measurement of different mechanical components using Machine Vision and digital image processing by Ram Prakash T, M.Rishidev, N. Vignesh, S.A Vishnu Bahavath

“…This study underscores the importance of continued research and development in machine vision systems to fully realize their potential in industrial applications.   …”
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Design Optimization of a 3-PUU Parallel Machine for Friction Stir Welding Robots by Eka Marliana, Latifah Nurahmi, Arif Wahjudi, I. Made Londen Batan, Guowu Wei

“…A prototype of the optimal design was built, and a series of experiments were conducted to verify and validate the kinematic and dynamic models within the defined cuboid workspace, which provides foundations for further industrial applications of the proposed machine in FSW.…”
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Assessing the Effect of Hand Crushed, Machine Crushed and River Coarse Aggregates on Concrete Properties. by Agaba, Derick

“…This research delved into the comparative analysis of concrete production by utilizing three distinct types of coarse aggregates: machine-crushed, hand-crushed, and river-sourced. …”
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Predict the Maximum Dry Density of Soil Based on Individual and Hybrid Methods of Machine Learning by Ghanshyam Tejani, Behnam Sadaghat, Sumit Kumar

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Addressing temperature challenges in machining: Deep-eutectic metalworking fluids and their influence on surface integrity by Erik Abbá, Alistair Speidel, Zhirong Liao, Donka Novovic, Dragos Axinte

“…This was substantiated by micromechanical testing, revealing a coherent failure mechanism at the machined edges for both DEF and wet-cutting media, significantly mitigating the adverse effects of dry machining. …”
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Empirical model for estimating the surface roughness of machined components under various cutting speed by JO Osarenmwinda

“… The increasing importance of turning operations is gaining new dimensions in the present industrial age, in which the growing competition calls for all the efforts to be directed towards the economical manufacture of machined parts as well as surface finish is one of the most critical quality measure in mechanical products. …”
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The development trend of China’s marine economy: a predictive analysis based on industry level by Yu Chen, Huahan Zhang, Lingling Pei

“…Those economic indicators at the industry level are characterized by small sample sizes, sectoral heterogeneity, and irregular fluctuations, which require a specialized methodology to handle data features and provide predictions for each industry. …”
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Estimation of Ultimate Bearing Capacity in Rock-Socketed Piles Using Optimized Machine Learning Approaches by Ali Hassan, Hamza Rashid

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Quantitative evaluation method of stroke association based on multidimensional gait parameters by using machine learning by Cheng Wang, Cheng Wang, Cheng Wang, Zhou Long, Zhou Long, Xiang-Dong Wang, Xiang-Dong Wang, You-Qi Kong, Li-Chun Zhou, Wei-Hua Jia, Pei Li, Jing Wang, Xiao-Juan Wang, Tian Tian

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SHASI-ML: a machine learning-based approach for immunogenicity prediction in Salmonella vaccine development by Ottavia Spiga, Ottavia Spiga, Ottavia Spiga, Anna Visibelli, Francesco Pettini, Bianca Roncaglia, Annalisa Santucci, Annalisa Santucci, Annalisa Santucci

“…The methodology can be applied to guide and optimize both research and industrial-scale production of Salmonella vaccines, potentially accelerating the development of more effective immunization strategies.…”
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Correlation of rivaroxaban solubility in mixed solvents for optimization of solubility using machine learning analysis and validation by Muteb Alanazi, Jowaher Alanazi, Tareq Nafea Alharby, Bader Huwaimel

“…To complement experimental insights, machine learning models were employed to predict rivaroxaban solubility based on temperature, solvent type, and mass fraction of dichloromethane. …”
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Estimation of PM10 and PM2.5 Using Backscatter Coefficient of Ceilometer and Machine Learning by Bu-Yo Kim, Joo Wan Cha, Yong Hee Lee

“…Abstract Air quality issues, including health and environmental challenges, have recently become more relevant in urban areas with large populations and active industries. Therefore, particulate matter (PM) estimation with high accuracy using various methods is required. …”
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Cetacean feeding modelling using machine learning: A case study of the Central-Eastern Mediterranean Sea by Carla Cherubini, Giulia Cipriano, Leonardo Saccotelli, Giovanni Dimauro, Giovanni Coppini, Roberto Carlucci, Carmelo Fanizza, Rosalia Maglietta

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Progress in prediction of photocatalytic CO2 reduction using machine learning approach: A mini review by Md Mohshin Ali, Md. Arif Hossen, Azrina Abd Aziz

“…The rapid progression of industrial revolution has contributed to an increase in greenhouse gases (GHGs) emission, particularly carbon dioxide (CO2), exacerbating global warming and placing unwanted pressure on limited energy resources, ultimately causing energy scarcity. …”
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Machine learning algorithm for estimating and optimizing the phytochemical content and physicochemical properties of okra slices in an infrared heating system by Hany S. El-Mesery, Ahmed H. ElMesiry, Evans K. Quaye, Zicheng Hu, Ali Salem

“…The model was developed using machine learning, and Okra's physicochemical properties were optimized using a self-organizing map (SOM). …”
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Utilizing Machine Learning-based Classification Models for Tracking Air Pollution Sources: A Case Study in Korea by Yelim Choi, Bogyeong Kang, Daekeun Kim

“…Abstract Urbanization and industrialization pose significant challenges in promptly identifying and managing air pollution sources. …”
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Innovative Transformations of Science-Intensive Industries in the National Economy of Azerbaijan: from Engineering to a Developed ICT Sector by Samira Abasova

“…If until 1990 the science-intensive industries of Azerbaijan were oil engineering, machine tool building, shipbuilding, instrument making, electrical engineering, then since 2013 Azerbaijan has become a space power and science-intensive and high-tech industries have become telecommunications and the ICT sector. …”
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RESEARCH IN THE FIELD OF TECHNICAL EXPERTISE AND TRACK REHABILITATION FOR A COAL MINING MACHINE TYPE M4A T2052-78 by Liviu Marius CÎRȚÎNĂ, Constanța RĂDULESCU

“…Thus, between the University "Constantin Brâncuși" of Târgu Jiu and the Company Complexul Energetic Oltenia S.A. there are data contained in Contract no.2490 /CEOSE/15.11.2016, entitled: Elaboration of documentation for the "Rehabilitation and modernization of the M4A Coal Mining Machine - including the track" - Rovinari S.E.. …”
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Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations by Bartosz Czernecki, Michał Marosz, Joanna Jędruszkiewicz

“…This research aimed to assess the feasibility of short-term PMx forecasting via machine learning (ML) and the subsequent identification of the primary meteorological covariates. …”
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