Development of an artificial intelligence model for wire electrical discharge machining of Inconel 625 in biomedical applications by Pasupuleti Thejasree, Natarajan Manikandan, Neeraj Sunheriya, Jayant Giri, Rajkumar Chadge, T. Sathish, Ajay Kumar, Muhammad Imam Ammarullah

“…However, traditional machining methods often struggle with these materials due to their high strength and thermal conductivity. …”
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Analysis of machine learning approaches for the interpretation of acoustic fields obtained by well noise data modelling by N. V. Mutovkin

“…In order to build the best model, machine learning approaches such as linear regression with different variants of regularisation, Bayesian regression, neural net, methods of supporting vectors, decision tree, random forest and gradient boosting are considered. …”
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Machine learning approaches for predicting the structural number of flexible pavements based on subgrade soil properties by Asadullah Ziar

“…This study highlights the potential of machine learning models in enhancing pavement design by accurately predicting structural performance parameters based on soil and environmental factors.…”
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Improving the performance of damage repair in thin-walled structures with analytical data and machine learning algorithms by Abdul Aabid, Md Abdul Raheman, Meftah Hrairi, Muneer Baig

“…In the last four decades, bonded composite repair has proven to be an effective method for addressing crack damage propagation. On the other hand, machine learning (ML) has made it possible to employ a variety of approaches for mechanical and aerospace problems and such significant approach is the repair mechanism and hence ML algorithms used to enhance in the present work. …”
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Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering by Thommas K. S. Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva

“…TinyML enables the deployment of Machine Learning (ML) models on resource-constrained devices, addressing a growing need for efficient, low-power AI solutions. …”
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Optimization of machining process route for internal joint parts using artificial fish swarm algorithm by Jun HAN, Junwei ZHU, Yang ZHANG, Zhenyao ZHAO, Zexi AN

“…The objective function is to determine the minimum number of machine tool, cutting tool, and clamping type changes. …”
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Determination of Operating Characteristics of 540 and 540E PTO Applications in Disc Type Silage Machines by Osman Özbek, Mustafa Ahmed Jalal Al-Sammarraie

“…When an evaluation is made considering all the parameters, it is concluded that the 540E PTO application will provide certain advantages in terms of fuel consumption compared to the 540 PTO application for the silage machine operating by taking the motion from PTO. 540E PTO application can be used as an important alternative to 540 PTO application for machines of similar capacity and features.…”
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Control of tool wear during turning of parts of construction and road machines in conditions of repair production by Ovsyannikov V.E., Vasiliev V.I.

“…At the same time, repair production uses mainly obsolete equipment and the qualification of machine-tools is often lower than in the manufacture of new products. …”
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New insight into viscosity prediction of imidazolium-based ionic liquids and their mixtures with machine learning models by Amir Hossein Sheikhshoaei, Ali Sanati

“…This study aims to predict the viscosity of imidazolium-based ILs and their mixtures using critical properties as input parameters. Machine learning (ML) models have been implemented, and their performance in viscosity prediction for IL mixtures was compared with a molecular-based model, ePC-SAFT-FVT (ePC-FVT-MB), and an ion-based model, ePC-SAFT-FVT (ePC-FVT-MB). …”
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Research on cultivating students’ creative thinking ability in art design teaching based on machine learning by Ke Xue

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Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms by Gustavo Frigieri, Sérgio Brasil, Danilo Cardim, Marek Czosnyka, Matheus Ferreira, Wellingson S. Paiva, Xiao Hu

“…This observational study developed and tested a machine learning (ML) model to estimate ICP using waveforms from a cranial extensometer device (brain4care [B4C] System). …”
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Real-Time Sea State Estimation for Wave Energy Converter Control via Machine Learning by Tanvir Alam Shifat, Ryan Coe, Gioegio Bacelli, Ted Brekken

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Machine Learning and IoT-Based Solutions in Industrial Applications for Smart Manufacturing: A Critical Review by Paolo Visconti, Giuseppe Rausa, Carolina Del-Valle-Soto, Ramiro Velázquez, Donato Cafagna, Roberto De Fazio

“…This review article provides an up-to-date overview of IoT systems and machine learning (ML) algorithms applied to smart manufacturing (SM), analyzing four main application fields: security, predictive maintenance, process control, and additive manufacturing. …”
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Machine Learning-Based Image Pattern Recognition Using Histogram of Oriented Gradient for Islanding Detection by Kumaresh Pal, Kumari Namrata, Ashok Kumar Akella, Manoj Gupta, Pannee Suanpang, Aziz Nanthaamornphong

“…In this paper, a novel machine learning islanding detection method (IDM) based on image classification utilizing the histogram of oriented gradient (HOG) feature is proposed. …”
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Application of Machine Learning for Methanolysis of Waste Cooking Oil Using Kaolinite Geopolymer Heterogeneous Catalyst by Pascal Mwenge, Hilary Rutto, Tumisang Seodigeng

“…This work uses three machine learning techniques, response surface methodology (RSM), artificial neural network (ANN), and adaptive neuro-fuzzy inference system (ANFIS) to optimise and model biodiesel production from waste cooking oil using process parameters such as methanol-to-oil ratio, catalyst loading, reaction temperature, and reaction time. …”
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Detection of flap malperfusion after microsurgical tissue reconstruction using hyperspectral imaging and machine learning by Marianne Maktabi, Benjamin Huber, Toni Pfeiffer, Torsten Schulz

“…The purpose of this study was to combine machine learning and neural networks with HSI to develop a method for detecting flap malperfusion after microsurgical tissue reconstruction. …”
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Machinability investigation on CNC milling of recycled short carbon fiber reinforced magnesium matrix composites by Şahin Atasoy, Sinan Kandemir

“…Overall, the study affirmed the machinability of the composites and identified suitable cutting parameters for further investigations.…”
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Effect of the Man-Weapon System on the Trajectory of a Projectile Fired from a Machine Pistol by Zbigniew DZIOPA, Krzysztof ZDEB

“…The process of burst-firing two projectiles from a Skorpion vz. 61 7.65 mm calibre machine pistol was recorded during a test at a firing range operated by the Polish Police. …”
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Bridging Neuroscience and Machine Learning: A Gender-Based Electroencephalogram Framework for Guilt Emotion Identification by Saima Raza Zaidi, Najeed Ahmed Khan, Muhammad Abul Hasan

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Classification prediction of load losses in power stations using machine learning multilayer stack ensemble by Bathandekile M. Boshoma, Oluwole S. Akinola, Peter Olukanmi, Peter Olukanmi

“…To support the decision-making of improving plant reliability, we experimented with six machine learning classifiers to find the model combination that produces the best prediction performance, called the Explainable Multilayer Stack Ensemble. …”
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