The Use of Machine Learning Algorithms for Water Quality Index Prediction in the Sai Gon River, Vietnam by Thuy Nguyen Thi Diem, Mai Nguyen Thi Huynh, Tra Tran Quang

“…Recent and accelerated advances in machine learning have led to various promising applications in water quality assessment. …”
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Predicting intensive care need in women with preeclampsia using machine learning – a pilot study by Camilla Edvinsson, Ola Björnsson, Lena Erlandsson, Stefan R. Hansson

“…In this study we aimed to develop a prediction model for severe outcomes using routine biomarkers and clinical characteristics.Methods We used machine learning models based on data from an intensive care cohort with severe preeclampsia (n=41) and a cohort of preeclampsia controls (n=40) with the objective to find patterns for severe disease not detectable with traditional logistic regression models.Results The best model was generated by including the laboratory parameters aspartate aminotransferase (ASAT), uric acid and body mass index (BMI) with a cross-validation accuracy of 0.88 and an area under the curve (AUC) of 0.91. …”
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Pulse Diagnosis Signals Analysis of Fatty Liver Disease and Cirrhosis Patients by Using Machine Learning by Wang Nanyue, Yu Youhua, Huang Dawei, Xu Bin, Liu Jia, Li Tongda, Xue Liyuan, Shan Zengyu, Chen Yanping, Wang Jia

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Experimental Investigation on the Material Removal of the Ultrasonic Vibration Assisted Abrasive Water Jet Machining Ceramics by Tao Wang, Rongguo Hou, Zhe Lv

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Research of Financial Early-Warning Model on Evolutionary Support Vector Machines Based on Genetic Algorithms by Zuoquan Zhang, Fan Lang, Qin Zhao

“…The SVMs-based method has been compared with other statistical methods and has shown good results. But the parameters of the kernel function which influence the result and performance of support vector machines have not been decided. …”
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ONBOARD FUEL PUMP FAULT DIAGNOSIS BASED ON IMPROVED SUPPORT VECTOR MACHINE AND EXPERIMENTAL RESEARCH by LIANG Wei, JING Bo, JIAO XiaoXuan, QIANG XiaoQing, LIU XiaoDong

“…Aiming at solving lacking of failure data and inefficiency,high-cost of now available fault diagnosis methods,a experimental platform of fuel transfer system is developed and a fault diagnosis method based on wavelet packet analysis and improved support vector machine（ ISVM） is presented. Based on the vibration signal and the outlet pressure signal obtained from the airborne fuel oil system,the energy of different frequency bands of vibration signal extracted by wavelet packet decomposition can be regarded as characteristic parameters to structure fault feature vector as well as the mean outlet pressure. …”
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Miniaturized NIRS Coupled with Machine Learning Algorithm for Noninvasively Quantifying Gluten Quality in Wheat Flour by Yuling Wang, Chen Zhang, Xinhua Li, Longzhu Xing, Mengchao Lv, Hongju He, Leiqing Pan, Xingqi Ou

“…Five different algorithms were employed to mine the relationship between the full-range spectra (900–1700 nm) and three parameters, with support vector regression (SVR) demonstrating the best prediction performance for all gluten parameters (R_P = 0.9370–0.9430, RMSEP = 0.3450–0.4043%, and RPD = 3.1348–3.4998). …”
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Role of DECT-Based Imaging Biomarkers and Machine Learning to Predict Renal Cell Carcinoma Subtypes by Neha Baijal, Amit Gupta, Sanil Garg, Neel Yadav, Rohan R. Dhanakshirur, Kshitiz Jain, Chandan J. Das

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A comprehensive review on smart manufacturing using machine learning applicable to fused deposition modeling by Swapnil Deokar, Narendra Kumar, Ravi Pratap Singh

“…However, FDM components often face challenges in achieving consistency, reliability, and accuracy which can be overcome using process parameters monitoring. The process parameters may be monitored using high end computational tools. …”
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Advanced machine learning artificial neural network classifier for lithology identification using Bayesian optimization by Saâd Soulaimani, Saâd Soulaimani, Ayoub Soulaimani, Kamal Abdelrahman, Abdelhalim Miftah, Mohammed S. Fnais, Biraj Kanti Mondal

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Machine vision system combined with multiple regression for damage and quality detection of bananas during storage by Mai Al-Dairi, Pankaj B. Pathare, Rashid Al-Yahyai, Nasser Al-Habsi, Hemanatha Jayasuriya, Zahir Al-Attabi

“…The study used a machine vision system and applied image process analysis to assess the bruise parameters of the damage zone and external quality attributes of 18 treatments generated from bruised (30 cm and 60 cm drop heights) and non-bruised (control) ‘Fard’ and ‘Somali’ banana cultivars stored at 5, 13, and 22 °C for 21 d Experiments include digital image analysis of fractal dimension (FD), grayscale (Igray), bruise susceptibility (BS), color, surface area (AS), and some other physical attributes like weight loss %, peel thickness reduction %, and firmness. …”
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Predictive Analysis of Mechanical Properties in Cu-Ti Alloys: A Comprehensive Machine Learning Approach by Mihail Kolev

“…A machine learning-based approach is presented for predicting the mechanical properties of Cu-Ti alloys utilizing a dataset of various features, including compositional elements and processing parameters. …”
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Optimization method of obstacle avoidance path for dual-arm cooperative robot based on machine vision by Jing Li

“…Machine vision technology is applied to enhance the obstacle avoidance path planning of the dual-arm cooperative robot. …”
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The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports. by Guomei Cui, Chuanjun Wang

“…In the process of model training, cross-validation and grid search optimization methods are adopted to ensure the reasonable selection of super parameters. Moreover, the superiority of the model is verified by comparing with the commonly used algorithms such as Support Vector Machine (SVM) and Convolutional Neural Network (CNN). …”
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INVESTIGATION OF MODIFICATION PROCESSES IN RESPECT OF WEAR-RESISTANT PLASMA COATINGS USING PULSE-PLASMA MACHINING by V. A. Okovity, F. I. Panteleenko, А. F. Panteleenko, V. V. Okovity, A. I. Shevtsov, A. F. Iliouschenko, V. M. Astashinsky

“…The paper contains information on the investigated processes and optimized technological parameters  of  highly-energy  machining of plasma  coatings  made  of  cladding  composite  powders obtained as a result of self-spreading high-temperature synthesis. …”
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Design and Testing of an Extruded Shaking Vibration-Type Peanut Digging and Harvesting Machine for Saline Soil by Zengcun Chang, Bin Sun, Dongjie Li, Xiaoshuai Zheng, Haipeng Yan, Dongwei Wang, Jialin Hou

“…Aiming to address the problems of poor separation of peanuts and soil and severe damage of pods during peanut harvesting in saline soil, a peanut digging and harvesting machine was designed using extrusion shaking vibration and roller extrusion. …”
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Through-mask electrochemical machining of micro-dimple arrays with synchronization of power switching and cathode movements by Feng Wang, Xinke Yuan, Tao Wang, Yiqing Wan, Yafeng He, Min Kang

“…Moreover, the influences of sponge characteristics and processing parameters on micro-dimple machining were investigated. …”
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Aspect-Based Sentiment Analysis for Afaan Oromoo Movie Reviews Using Machine Learning Techniques by Obsa Gelchu Horsa, Kula Kekeba Tune

“…To improve the optimal performance evaluation parameters, different hyperparameter tuning settings were applied. …”
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Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study by Marina Galanina, Anna Rekiel, Anna BaCzyk, Bozena Kostek

“…Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. …”
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XGBoost-based prediction of heat and mass transfer in phase change systems: Insights from ISPH simulation and parameter sensitivity analysis by Kuiyu Cheng, Abdelraheem M. Aly, Munirah Alotaibi, Sang-Wook Lee

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