Toward Intelligent Fading Channel Prediction: A Comprehensive Survey by Ramoni Adeogun

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Effective workflow from multimodal MRI data to model-based prediction by Kyesam Jung, Kevin J. Wischnewski, Simon B. Eickhoff, Oleksandr V. Popovych

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Optimization of Selective Laser Sintering Processing Parameters Based on ISMA-ELM Hybrid Model by LI Jian, NIE Qian, JIANG Chenglei, GUO Yanling, WANG Yangwei

“…Finally, the optimal processing parameters predicted by the ISMA-ELM model are used to guide the machining, and the dimensional accuracy of the obtained molded parts is improved by 29. 62% compared to the ELM model and 18. 02% compared to the SMA-ELM, which shows that the model can provide optimal process parameters for SLS molding processing and guide the machining effectively.…”
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Immunohistochemical Subtype and Parameters of International Prognostic Index in the New Prognostic Model of Diffuse Large B-Cell Lymphoma by SV Samarina, AS Luchinin, NV Minaeva, IV Paramonov, DA D’yakonov, EV Vaneeva, VA Rosin, VA Rosin

“…To develop an integrated prognostic model of diffuse large B-cell lymphoma (DLBCL) on the basis of immunohistochemical tumor subtype and parameters of International Prognostic Index (IPI). …”
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Experimental and theoretical investigation of the influence of tool paths and burnishing parameters on the quality of the burnished surface by magnetic assisted ball burnishing by Zsolt Kovács, Gábor Kónya, Balázs Markó, György Póka

“…Furthermore, by utilizing the oil retention capacity (A2 parameter) of the surface can be estimated. Moreover, the measurement of the Rpk and Rvk parameters, along with their ratio, allow conclusions about the wear process. …”
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The Distribution Pattern of Machining Errors on Woodworking Machine Tools by Pylypchuk M. I., Dziuba L. F., Mayevskyy V. O., Kopynets Z. P., Taras V. I.

“…It allows for determining the main parameters of the error distribution law and evaluating the operating conditions for the machine tool according to the technological accuracy criterion. …”
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3D Printing parameter optimisation combined with heat treatment for achieving high density and enhanced performance in refractory high-entropy alloys by Deyu Jiang, Miao Luo, Changxi Liu, Yashuo Zhang, Lai-Chang Zhang, Kuaishe Wang, Wen Wang, Lechun Xie, Liqiang Wang, Weijie Lu, Di Zhang

“…By integrating 63 sets of parameter trials with machine learning (ML) models, an optimised process window was identified, achieving a density of up to 99.9%. …”
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Probabilistic back analysis method for determining surrounding rock parameters of deep hard rock tunnel by WU Zhong-guang, WU Shun-chuan

“…Second, a multi-output support vector machine (MSVM) was optimized by particle swarm optimization (PSO) algorithm, and an intelligent response surface model was established to reflect the nonlinear mapping relationship between back-analyzed parameters and field monitoring data. …”
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Development and validation of a machine learning model for central compartmental lymph node metastasis in solitary papillary thyroid microcarcinoma via ultrasound imaging features and clinical parameters by Haiyang Han, Heng Sun, Chang Zhou, Li Wei, Liang Xu, Dian Shen, Wenshu Hu

“…The objective of this study was to develop a predictive model for CCLNM in patients with solitary PTMC on the basis of a combination of ultrasound radiomics and clinical parameters. Methods We retrospectively analyzed data from 480 patients diagnosed with PTMC via postoperative pathological examination. …”
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Evaluation of Parameters Affecting Earthquake Damage Using a GIS-based Random Forests Machine Learning Model: The Case of the 6 February 2023 Kahramanmaras Earthquakes in Türkiye by Emre Özşahin, Mikayil Öztürk

“…Despite such a high earthquake risk, the evaluation of parameters affecting earthquake damage is still very inadequate in Türkiye. …”
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Multi-model machine learning framework for lung cancer risk prediction: A comparative analysis of nine classifiers with hybrid and ensemble approaches using behavioral and hematological parameters by Vinod Kumar, Chander prabha, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

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Estimation of Biophysical Parameters of Forage Cactus Under Different Agricultural Systems Through Vegetation Indices and Machine Learning Using RGB Images Acquired with Unmanned Aerial Vehicles by Gabriel Italo Novaes da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim, Wagner Martins dos Santos, Alan Cézar Bezerra, Elisiane Alba, Marcos Vinícius da Silva, Jhon Lennon Bezerra da Silva, Luciana Sandra Bastos de Souza, Gabriel Thales Barboza Marinho, Abelardo Antônio de Assunção Montenegro, Thieres George Freire da Silva

“…The objective of this study was to correlate the biophysical parameters of forage cactus with visible vegetation indices obtained by unmanned aerial vehicles (UAVs) and predict them with machine learning in different agricultural systems. …”
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Investigating the Effects of Spectroscopic Method in Estimating Soluble Solid Content Values and Firmness of Cherries from an Environmental Point of View: Prediction of Environmental Parameters with Machine Learning Method by Shirzad Naim, Shahgholi Gholamhossein, Ardabili Sina, Szymanek Mariusz

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Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods by Ahmet Burak Tatar

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Forecasting of the Geomagnetic Activity for the Next 3 Days Utilizing Neural Networks Based on Parameters Related to Large‐Scale Structures of the Solar Corona by Tingyu Wang, Bingxian Luo, Jingjing Wang, Xianzhi Ao, Liqin Shi, Qiuzhen Zhong, Siqing Liu

“…Abstract With the increasing number of large constellations, it is crucial to accurately predict satellite positions and movements using upper atmosphere models driven by geomagnetic indices. Machine learning (ML) can quickly provide geomagnetic index predictions. …”
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Performance and applicability of low-cost PM sensors to assess global pollution variability through machine learning techniques by Rajat Sharma, Andry Razakamanantsoa, Ashutosh Kumar, Thaseem Thajudeen, Agnès Jullien

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Vibration Characteristics of Double-Shield TBM Cutterhead Under Rock–Machine Interaction Excitation by Guang Zhang, Qing Song, Qiuming Gong, Dongxing Liu, Dongwei Li, Minghao Sun

“…During the tunneling process of a double-shield TBM, vibrations generated by rock–machine interaction can affect its safe, efficient, and stable operation. …”
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Advanced Optimization of Drilling Parameters in Composite Materials: A Topsis-Based Approach for Enhanced Manufacturing Precision by Mustapha Arslane, Mohamed Slamani, Abdelmalek Elhadi, Salah Amroune, Ugur Köklü, Madani Grine, Borhen Louhichi, Sabbah Ataya

“…The key objective of this study is to optimize drilling parameters such as spindle speed, feed rate, and drill type to improve machining performance and reduce common defects. …”
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Principles of Forming Machine and Technology Systems for Integrated Mechanization and Automation of Technological Processes in Crop Production by Ya. P. Lobachevskiy, Yu. S. Tsench

Subjects: “…machine and technology system…”
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The external validity of machine learning-based prediction scores from hematological parameters of COVID-19: A study using hospital records from Brazil, Italy, and Western Europe. by Ali Safdari, Chanda Sai Keshav, Deepanshu Mody, Kshitij Verma, Utsav Kaushal, Vaadeendra Kumar Burra, Sibnath Ray, Debashree Bandyopadhyay

“…Here we report external-validity of machine learning-based prediction scores from haematological parameters recorded in different hospitals of Brazil, Italy, and Western Europe (raw sample size, 195554). …”
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