Anatomical Parameter-driven Volumetric Modulated Arc Therapy Optimization in Left-sided Breast Cancer: A Machine Learning Framework for Lung Dose Prediction by Mukesh Kumar Zope, Deepali Patil, Rishi Raj, Seema Devi, Richa Madhawi

“…We assessed various anatomical parameters, including the central lung distance (CLD), the tangent left lung volume (LLV) within the treatment area, the LLV, and the planning target volume (PTV). …”
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Observer-Based Remote Conductivity Variable-Parameter Sliding Mode Control for Water–Fertilizer Integration Machines Using Recursive Least Squares Adaptive Estimation by Peng Zhang, Zhigang Li, Xue Hu, Lixin Zhang

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Bearing Fault Diagnosis Based on Parameter Optimized VMD and ELM with Improved SSA by Yang Sen, Wang Hengdi, Cui Yongcun, Li Chang, Tang Yuanchao

“…Aiming at the problem that the initial fault signal of rolling bearings is weak and the fault characteristic is difficult to extract, this study proposes a rolling bearing fault diagnosis method based on variational modal decomposition (VMD) for adaptive parameter optimization based on the improved sparrow search algorithm (SSA) and the extreme learning machine (ELM) with multi-layer feature vector fusion. …”
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New Methodologies for the Optimization of Operational Parameters of Bio Gas Power Plants: A Review by Sidahmed Sidi Habib, Shuichi Torri, Kavitha Mol S.

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The influence of titanium alloys phase composition on the surface roughness parameters obtained in the process of wire EDM by A. A. Fedorov, Yu. E. Zhdanova, A. V. Linovsky, N. V. Bobkov, Iu. O. Bredgauer

“…The purpose of the article is to establish the relationship between the electrical parameters of wire EDM with the surface roughness α, α+β and β of titanium alloys, in particular with the group of parameters Rk. …”
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Identification of key factors for malnutrition diagnosis in chronic gastrointestinal diseases using machine learning underscores the importance of GLIM criteria as well as additional parameters by Karen Rischmüller, Vanessa Caton, Markus Wolfien, Markus Wolfien, Markus Wolfien, Luise Ehlers, Matti van Welzen, David Brauer, Lea F. Sautter, Fatuma Meyer, Luzia Valentini, Mats L. Wiese, Ali A. Aghdassi, Robert Jaster, Olaf Wolkenhauer, Olaf Wolkenhauer, Georg Lamprecht, Saptarshi Bej, Saptarshi Bej

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The Effects of Cutting Parameters on Cutting Force and Tribological Properties of Machined Surface Under Dry Turning of AISI304L Austenitic Stainless Steel by Gábor Kónya, Béla Csorba, Norbert Szabó, Zsolt F. Kovács

“…In this study, the effects of cutting speed and feed rate on the roughness parameters <i>R</i>_a, <i>R</i>_z, <i>R</i>_sk, <i>R</i>_ku, <i>R</i>_pk, <i>R</i>_vk, and <i>A</i>₂ were examined during machining with coated carbide tools in a dry environment. …”
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From reactive to proactive: Machine learning models for continuous positive airway pressure adjustments using heart rate variability and oximetry-related parameters by Chih-Fan Kuo, Yi-Chih Lin, Ze-Yu Chen, Jiunn-Horng Kang, Cheng-Chen Chang, Zhihe Chen, Arnab Majumdar, Yen-Ling Chen, Yi-Chun Kuan, Kang-Yun Lee, Po-Hao Feng, Kuan-Yuan Chen, Hsin-Chien Lee, Wun-Hao Cheng, Wen-Te Liu, Cheng-Yu Tsai

“…Therefore, this study developed machine learning models using leading indicators, such as heart rate variability (HRV) and oximetry-related metrics, to proactively predict optimal adjustment timings. …”
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Assessing Huanglongbing Severity and Canopy Parameters of the Huanglongbing-Affected Citrus in Texas Using Unmanned Aerial System-Based Remote Sensing and Machine Learning by Ittipon Khuimphukhieo, Jose Carlos Chavez, Chuanyu Yang, Lakshmi Akhijith Pasupuleti, Ismail Olaniyi, Veronica Ancona, Kranthi K. Mandadi, Jinha Jung, Juan Enciso

“…We also leveraged UAS-based features, along with machine learning, for HLB severity classification. …”
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Turboshaft gas turbine engine thermodynamics calculation method based on blade machine blade to blade description.Part III. Turbine parameters calculation by Lyudmila Boyko, Nataliya Pizhankova

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An interpretable machine learning approach for predicting and grading hip osteoarthritis using gait analysis by Qing Yang, Xinyu Ji, Yuyan Zhang, Shaoyi Du, Bing Ji, Wei Zeng

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A machine learning based prediction model for short term efficacy of nasopharyngeal carcinoma by Qiulu Zhong, Xiangde Li, Qinghua Du, Qianfu Liang, Danjing Luo, Jiaying Wen, Haiying Yue, Wenqi Liu, Xiaodong Zhu, Jian Li

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Identification of Elephant Rumbles in Seismic Infrasonic Signals Using Spectrogram-Based Machine Learning by Janitha Vidunath, Chamath Shamal, Ravindu Hiroshan, Udani Gamlath, Chamira U. S. Edussooriya, Sudath R. Munasinghe

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REVISITED GRAIN HARVESTERS PARAMETERS SUBSTATIATION AND EFFECTIVENESS OF THEM by G. G. Maslov, E. I. Trubilin

“…The required for the operation process harvesters engine power is different depending on schemes of threshing-separating machine with the rotary and beater threshing drums. …”
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Toward Low-Resource Languages Machine Translation: A Language-Specific Fine-Tuning With LoRA for Specialized Large Language Models by Xiao Liang, Yen-Min Jasmina Khaw, Soung-Yue Liew, Tien-Ping Tan, Donghong Qin

Subjects: “…Machine translation…”
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Modeling of the wire electrical discharge machining process using the finite element method by N. V. Bobkov, A. A. Fedorov, N. S. Artemenko

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Short-Term Power Load Forecasting Using Adaptive Mode Decomposition and Improved Least Squares Support Vector Machine by Wenjie Guo, Jie Liu, Jun Ma, Zheng Lan

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Anfis Based Reference Evapotranspiration (ET0) Estimation Using Limited and Different Climate Parameters by Mualla KETEN GÖKKUŞ

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Application Value of an AI-based Imaging Feature Parameter Model 
for Predicting the Malignancy of Part-solid Pulmonary Nodule by Mingzhi LIN, Yiming HUI, Bin LI, Peilin ZHAO, Zhizhong ZHENG, Zhuowen YANG, Zhipeng SU, Yuqi MENG, Tieniu SONG

“…This study aims to construct a model based on image feature parameters automatically extracted by artificial intelligence (AI) to evaluate its effectiveness in predicting the malignancy of part-solid nodule (PSN). …”
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A Machine-Learning Model for the Prediction of Triple-Negative Breast Cancer Based on Multiparameter MRI by Cai Y, Li Y, Wang W, Zhou Y, Wang J, Zhang L, Lu H

“…In the primary cohort, univariate analysis, logistic regression analysis and Boruta algorithm were used to determine the independent predictors for TNBC and non-TNBC. The machine learning classifier XGboost was developed based on the features to predict TNBC. …”
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