Multilingual Neural Machine Translation for Low-Resource Languages by Surafel M. Lakew, Marcello Federico, Matteo Negri, Marco Turchi

“…In recent years, Neural Machine Translation (NMT) has been shown to be more effective than phrase-based statistical methods, thus quickly becoming the state of the art in machine translation (MT). …”
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Analysis of Tangential Nonlinear Vibration on Machine Hydrostatic Slide by Zhongkui Zhang, Feng Gao, Yan Li, Han Zhang

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Research Progress on Technology Parameter Optimization of High-speed Dry Gear Hobbing by CHENG Yao-nan, MA Chun-jie, ZHANG Jian-yu, XIN Li-ming, WANG Xin-yu

“…In order to reduce the machining cost and improve the production efficiency, the machining parameters directly affects the optimal balance among the performance indexes of gear machining efficiency, tool life and machine tool error and so on. …”
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Uncertainty quantification for misspecified machine learned interatomic potentials by Danny Perez, Aparna P. A. Subramanyam, Ivan Maliyov, Thomas D. Swinburne

“…Abstract The use of high-dimensional regression techniques from machine learning has significantly improved the quantitative accuracy of interatomic potentials. …”
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Dynamic Modeling and Parameter Optimization of Potato Harvester Under Multi-Source Excitation by Jianguo Meng, Zhipeng Li, Zheng Li, Yanzhou Li, Wenxia Xie

“…Based on the physical parameters of the harvester’s internal structure and the connection parameters between components, a 12-degree-of-freedom (12-DOF) dynamic model of the entire machine was constructed. …”
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Performance Analysis and Operation Parameter Optimization of Shaker-Type Harvesting for Camellia Fruits by Qiaoming Gao, Jianfeng Han, Shan Zeng, Yu Wang, Wei Wei, Dongxue Wang, Hang Ye, Jing Lu, Haoxiang Zeng

“…Meanwhile, under these operational parameters, the harvesting efficiency reached 96.97%, while the flower bud damage rate was only 6%.…”
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Adaptive coordinated control for an under-actuated airplane–tractor system with parameter uncertainties by Pengjie Xu, Weining Huang, Tianrui Zhao, Wei Zhang, Tongwei Lu, Guiyan Qiang, Lin Zhang, Yanzheng Zhao

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Machine learning-based optimization of photogrammetric JRC accuracy by Qinzheng Yang, Ang Li, Yipeng Liu, Hongtian Wang, Zhendong Leng, Fei Deng

“…Using seven machine learning algorithms, optimization models for photogrammetric JRC accuracy were developed, with Linear Multidimensional Regression and Gaussian Process Regression models improving JRC accuracy by an average of 85.73%. …”
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Modeling and Parameter Selection of the Corn Straw–Soil Composite Model Based on the DEM by Tianyue Xu, Yan Gou, Dongyan Huang, Jianqun Yu, Chunrong Li, Jingli Wang

“…During corn harvesting operations, machine–straw–soil contact often occurs, but there is a lack of research related to the role of straw–soil contact. …”
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MLPro 2.0 - Online machine learning in Python by Detlef Arend, Laxmikant Shrikant Baheti, Steve Yuwono, Syamraj Purushamparambil Satheesh Kumar, Andreas Schwung

“…In this paper, we present version 2.0 of the open-source middleware MLPro for applied machine learning in Python. Notably, it introduces the new sub-framework MLPro-OA for online machine learning, focusing on standards and templates for classic and online-adaptive data stream processing (DSP/OADSP). …”
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Machine learning prediction of pKa of organic acids by Juda Baikété, Alhadji Malloum, Jeanet Conradie

“…Here, we present four tree-based machine learning models for pKa prediction of organic molecules. …”
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An interpretable integrated machine learning framework for genomic selection by Jinbu Wang, Jia Zhang, Wenjie Hao, Wencheng Zong, Mang Liang, Fuping Zhao, Longchao Zhang, Lixian Wang, Huijiang Gao, Ligang Wang

“…Although machine learning (ML) methods have shown growing promise for genomic selection (GS), several key challenges hinder their widespread application. …”
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Fault Diagnosis of Oil Pumping Machine Retarder Based on Sound Texture-Vibration Entropy Characteristics and Gray Wolf Optimization-Support Vector Machine by Shutao Zhao, Ke Chang, Erxu Wang, Bo Li, Kedeng Wang, Qingquan Wu

“…In order to diagnose the retarder faults of oil pumping machine accurately in complex environments and improve the generalization of the algorithm, a GWO-SVM fault diagnosis algorithm based on the combination of sound texture and vibration entropy characteristics was proposed. …”
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Bayesian model parameter learning in linear inverse problems: application in EEG focal source imaging by Alexandra Koulouri, Ville Rimpiläinen

“…Unfortunately, unknown model parameters and imperfect forward models can still undermine the signal recovery. …”
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Rapid parameter estimation for merging massive black hole binaries using continuous normalizing flows by Bo Liang, Minghui Du, He Wang, Yuxiang Xu, Chang Liu, Xiaotong Wei, Peng Xu, Li-e Qiang, Ziren Luo

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Determination of Factors Affecting the Quality of Sized Cotton Yarn Using Screening Experimental Method by Andinet Habtamu, Million Ayele

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Development of Self-Powered Energy-Harvesting Electronic Module and Signal-Processing Framework for Wearable Healthcare Applications by Jegan Rajendran, Nimi Wilson Sukumari, P. Subha Hency Jose, Manikandan Rajendran, Manob Jyoti Saikia

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Explainable artificial intelligence to estimate the Sri Lankan (Ceylon) Tea crop yield by Lakindu Mampitiya, Harindu S. Sumanasekara, Namal Rathnayake, Yukinobu Hoshino, Upaka Rathnayake

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Mathematical Modelling and Optimization Methods in Geomechanically Informed Blast Design: A Systematic Literature Review by Fabian Leon, Luis Rojas, Alvaro Peña, Paola Moraga, Pedro Robles, Blanca Gana, Jose García

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PARAMETER OPTIMIZATION OF HYDROSTATIC MOTORIZED SPINDLE SYSTEM BASED ON ANALYSIS OF THERMAL DEFORMATION by YAN ChaoYing, LIU JiangNan, LIU YanPing, NING ZhaoYang

“…The process parameter and structural parameter are significant factors,such as the flow-rate of cooling water,the input pressure of bearing oil,the spindle speed and the bearing’s structural parameter. …”
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