Detecting Keratoconus by Using SVM and Decision Tree Classifiers with the Aid of Image Processing by Mosa et al.

“…Researchers used different methods such as image processing and machine learning techniques in addition to medical instruments such as Placido disc, Keratoscopy, Pentacam;to help diagnosing variety of diseases that affect the eye. …”
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Natural language processing-based approach for automatically coding ship sensor data by Yunhui Kim, Kwangphil Park, Byeongwoo Yoo

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The Leakage Identification and Location of Ship Pipeline System Based on Vibration Signal Processing by Pan Su, JieChang Wu, Guanghui Chang, Shuyong Liu, Xuejiao Feng

“…Second, the vibration signal is processed based on the variational mode decomposition (VMD) and radial basis function (RBF) neural networks. …”
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Machine Learning Innovations for Improving Mineral Recovery and Processing: A Comprehensive Review* by Korie, Josephmartin Izuchukwu*, Chudi-Ajabor, Ogochukwu Gabriela, Ezeonyema, Chukwudalu Chukwuekezie, Oshim, Francisca Ogechukwu

“…To overcome the limitations of traditional mineral processing and recovery methods, cutting-edge technologies, including Machine learning (ML), emerge as a paradigm shift in this sector, offering predictive insights, data analysis, and real-time monitoring capabilities. …”
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Approach to design of distributed multi-agent system for processing sound information of the environment by U. A. Vishniakou, B. H. Shaya

“…Three different classification methods are investigated: KNearest neighbors, Gaussian mixture model and Support vector machine.Multi-agent system (M)AS characteristics are given, the classification, trends in the use of multi-agent intelligent technologies for information processing are presented. …”
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Adaptive Prediction of a Random Process Using a Sequential Regression Algorithm by Vladimir A. Golovkov

“…Models of random interferences in the form of infinitely and finitely differentiable random processes were considered. The sequential regression algorithm required to estimate the correlation selection matrix, the selection vector of correlation of the forecast and sample units. …”
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Recent Trends and Advances in Utilizing Digital Image Processing for Crop Nitrogen Management by Bhashitha Konara, Manokararajah Krishnapillai, Lakshman Galagedara

“…A total of 95 articles remained after the screening and selection process. Interest in integrating machine learning and deep learning algorithms with DIP has increased, with the frequently used algorithms—Random Forest, Support Vector Machine, Extreme Gradient Boost, and Convolutional Neural Networks—achieving higher prediction accuracy levels. …”
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Comparison of theoretical and experimental investigation of protonation process of some thiones in acid media by Mirjana S. Jankulovska, Vesna Dimova, Ilinka Spirevska, Milena Jankulovska

“…The influence of the strength of the acid and its anion on the protonation process was discussed using three different mineral acids (perchloric, hydrochloric and phosphoric acid) for protonation. …”
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Research Progress on Process Optimization of Metal Materials in Wire Electrical Discharge Machining by Xinfeng Zhao, Binghui Dong, Shengwen Dong, Wuyi Ming

“…Subsequently, this paper reviews AI-based approaches, traditional machine-learning methods (e.g., neural networks, support vector machines, and random forests), and deep-learning models (e.g., convolutional neural networks and deep neural networks) in aspects such as state recognition, process prediction, multi-objective optimization, and intelligent control. …”
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Machine learning-driven design of support structures and process parameters in additive manufacturing by Yang Mo, Jinlong Su, Qinzhi Li, Fulin Jiang, Swee Leong Sing

“…However, the combined effects of support geometry and process parameters on key qualities such as residual stress (RS) and geometric accuracy remain insufficiently explored. …”
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Crow Search Algorithm for MEMS Gyroscope Temperature Drift Signal and Processing for Denoising by Xichen Wang, Huiliang Cao, Xiaomin Duan

“…Finally, the processed signal is reconstructed to achieve the goal of denoising. …”
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Research on digital twin modeling method for combustion process based on model reduction by Yue Zhang, Jiale Li

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Nonlinear characteristics and prediction of gas and temperature in coal spontaneous combustion oxidation process by Ping ZHAN, Changkui LEI, Renhui CHENG

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Machine Learning-Assisted Optimization of Femtosecond Laser-Induced Superhydrophobic Microstructure Processing by Lifei Wang, Yucheng Gu, Xiaoqing Tian, Jun Wang, Yan Jia, Junjie Xu, Zhen Zhang, Shiying Liu, Shuo Liu

“…Three additional dimensional variables, i.e., the number of effective pulses, energy deposition rate, and roughness, were also added to the original dataset vectors as extra dimensions to participate in and guide the model training process. …”
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Detecting ADHD through natural language processing and stylometric analysis of adolescent narratives by Juan Barrios, Elena Poznyak, Jessica Lee Samson, Halima Rafi, Simon Gabay, Florian Cafiero, Martin Debbané, Martin Debbané

“…This study explores, for the first time, the potential of Natural Language Processing (NLP) and stylometry to identify linguistic markers within Self-Defining Memories (SDMs) of adolescents with ADHD and to evaluate their utility in detecting the disorder. …”
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Method for digital processing of a three-phase signal for extraction symmetric components by A. М. Petrov, D. A. Kostyukov

“…The main direction of research in this work is the creation of a simple hardware-oriented method for extracting symmetrical components from an asymmetric three-phase system of vectors. The paper proposes a new algorithm for digital signal processing of a three-phase system of voltages and/or currents, which makes it possible to implement the function of a digital filter of symmetrical components. …”
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Prediction of Temperature Factors in Proteins: Effect of Data Pre-Processing and Experimental Conditions by Jure Pražnikar

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CONFESSIONAL FACTOR IN THE SOCIO-POLITICAL AND PARTY-POLITICAL PROCESS OF THE MODERN RUSSIAN FEDERATION by M. A. Astvatsaturova, A. S. Kshov

“…The article is devoted to identifying the accentuation of the confessional factor in the socio-political process of the Russian Federation against the background of its stabilization and stagnation vectors. …”
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Flexible Green Ammonia Production: Impact of Process Design on the Levelized Cost of Ammonia by Cecilia Pistolesi, Alberto Giaconia, Claudia Bassano, Marcello De Falco

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Predictive diagnostics of computer systems logs using natural language processing techniques by Vladislav A. Kiriachek, Soltan I. Salpagarov

“…The proposed approach is based on semisupervised learning combined with natural language processing techniques. A specialized parser utilizing a semantic graph was developed for data preprocessing. …”
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