Laser-induced Breakdown Spectroscopy Based on Pre-classification Strategy for Quantitative Analysis of Rock Samples by Weiheng KONG, Lingwei ZENG, Yu RAO, Sha CHEN, Xu WANG, Yanting YANG, Yixiang DUAN, Qingwen FAN

“…The kNN algorithm was selected using cross-validation to determine the optimal k value, and the key punishment parameter C and RBF width parameter γ of the SVM algorithm were determined using a grid search method. …”
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Predicting Irrigation Water Quality Indices Based on Data-Driven Algorithms: Case Study in Semiarid Environment by Dimple Dimple, Jitendra Rajput, Nadhir Al-Ansari, Ahmed Elbeltagi

“…Ascertaining water quality for irrigational use by employing conventional methods is often time taking and expensive due to the determination of multiple parameters needed, especially in developing countries. …”
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A Novel Tool for Biodiversity Studies: Earthworm Classification via NGS and Neural Networks by Tadeusz Malewski, Ewa Ropelewska, Andrzej Skwiercz, Anastasiia Lutsiuk, Anita Zapałowska

“…The objective of this study was to distinguish earthworms belonging to different genera, Eisenia, Dendrobaena, and Lumbricus, using an innovative approach involving machine learning models built based on image texture parameters from individual color channels R, G, B, L, a, b, X, Y, Z, U, V, and S. …”
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适用于模具法加工的弧齿锥齿轮精确建模 by 张华, 张占立, 魏冰阳, 李天兴

“…To build the accuracy three-dimensional model of spiral bevel gear is of great significance for spiral bevel gear machining with mold processing method,such as precision forging,injection molding,powder forming and so on.Setting up machining coordinates,machining parameter is designed with local synthesis,and the machining parameters are verified by using TCA /LTCA technology.With facing cutter cone equation,machining parameters,and tooth surface boundary conditions,the key data points on tooth surface are obtained.Using three-dimensional modeling software,tooth surface patches are created firstly,and then,three-dimensional model of spiral bevel gear is built.As an example,the above procedure is introduced with a pair of spiral bevel gear.…”
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Dynamics of operation of a load-railing crane in conditions of violation of the support circuit by Potakhov D.A.

“…The article presents a developed analytical mathematical model for balancing a railway crane on outriggers as a result of subsidence of the soil under one outrigger, which allows to determine the main parameters and patterns of operation of the hoisting machine in conditions of violation of the support contour. …”
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Leveraging Sustainable Household Energy and Environment Resources Management with Time-Series by José Cecílio, Tiago Rodrigues, Márcia Barros, Alan Oliveira de Sá

“…Furthermore, as usage notes, we offer additional results by applying machine-learning approaches to the provided data. …”
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Analytical and Graphical Profiling of Thread-Milling Cutters for Forming Internal Threads by Nikolay Stankov, Aleksandar Ivanov

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Application of virtual reality technology based on artificial intelligence in 3D animated film storyboard by Zhou Hong, Xiaoting Xu, Xiaoyu Liu

“…According to the user’s specific requirements and parameters, the personalization was realized by combining machine learning technology. …”
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Quantum Circuit Learning for Uncertainty Quantification of RELAP5 Code Analysis of ROSA/LSTF Small Break LOCA Tests by Kinoshita Ikuo

“…One of the problems associated with the application of a machine learning is overlearning. Quantum circuit learning is the quantum analogue of classical deep learning, which is expected to be less prone to overlearning because the optimized parameters are bound by unitary transformations in the quantum circuit. …”
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Optimizing Performance of AdaBoost Algorithm through Undersampling and Hyperparameter Tuning on CICIoT 2023 Dataset by Sahrul Fahrezi Fahrezi, Adhitya Nugraha, Ardytha Luthfiarta, Nauval Dwi Primadya

“…This optimization underscores the significance of finetuning parameters in machine learning algorithms to enhance the effectiveness of cybersecurity measures for IoT devices. …”
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ANALYSIS ON THE INFLUENCE OF THE LOAD THE END PLATE OF THE DRUM SHEAER by HAO ZhiYong, ZHANG Pei, YAN Chuang, SONG ZhenDuo

“…For the study of coal winning machine end plate load characteristic of cutting pick,with MG500 type coal winning machine roller as the research object,USES the nonlinear dynamics simulation software ls-dyna screw drum of shearer and the finite element model of coal and rock was cut,the model was used to study the working condition of oblique bottom plate and mechanical characteristics of cutting pick load characteristics changing with the installation parameters. …”
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A neural network based approach for thrust prediction in cold gas propulsion systems by Morteza Farhid, Mohammad Reza Ghavidel Aghdam, Moharram Shameli

“…Abstract In this paper, we present a machine learning method to accurately predict thrust in a cold gas thruster using a feedforward neural network (FFNN). …”
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Simulation of distribution of forces in traction circuit tracked chassis under conditions of variability ground resistance by K.A. Goncharov

“…Tracked chassis structurally consists of two or more traction circuits that perceive the evenly or unevenly distributed weight of the machine itself and the load from the ongoing technological operations. …”
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Harnessing AI for Improved Detection and Classification of Pleural Effusion: Insights and Innovations by Geran Maule, Ahmad Alomari, Abdallah Rayyan, Ogbeide Aghahowa, Mohammad Khraisat, Luis Javier

“…Recent advancements in artificial intelligence (AI) and machine learning (ML) techniques hold substantial promise for enhancing the accuracy and efficiency of pleural effusion diagnostics. …”
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Dynamic Modeling and Nonlinear Vibration Research of the Rotary Cutting Mechanism Based on Bond Graphs by Zhao Jiayi, Gao Yiyang, Zhao Changzhen, Rao Xiaobo, Ding Shunliang, Gao Jianshe

“…Therefore, revealing the mechanism of dynamic instability of the pipe cutting machine to avoid the harmful vibration is the key to improve the operation performance and cutting accuracy. …”
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IoT-Enabled Smart Greenhouses: Real-Time Environmental Monitoring and Climate Control by Mondal Sonali, Prashant Patil Manisha

“…The goal of this research is to build smart greenhouse system where the environmental parameters are temperature, humidity, soil moisture and light levels are monitored in real time using IoT. …”
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Enhanced framework for credit card fraud detection using robust feature selection and a stacking ensemble model approach by Rahul Kumar Gupta, Asmaul Hassan, Samir Kumar Majhi, Nikhat Parveen, Abu Taha Zamani, Raju Anitha, Binayak Ojha, Abhinav Kumar Singh, Debendra Muduli

“…A stacking ensemble model is developed with support vector machine (SVM), K-nearest neighbors (KNN), and extreme learning machine (ELM) to enhance forecast accuracy. …”
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Predicting electronic screening for fast Koopmans spectral functional calculations by Yannick Schubert, Sandra Luber, Nicola Marzari, Edward Linscott

“…In this work, we present a machine-learning model that—with minimal training—can predict these screening parameters directly from orbital densities calculated at the DFT level. …”
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An advanced direct torque control for doubly fed induction motor using evolutionary computational techniques by Said Mahfoud, Najib El Ouanjli, Aziz Derouich, Abderrahman El Idrissi, Elmostafa Chetouani, Azeddine Loulijat, Shimaa A. Hussien, Mohamed I. Mosaad

“…Abstract The doubly-fed induction machine is progressively supplanting the cage machine owing to its superior efficiency in variable-speed applications and improved performance in renewable energy systems. …”
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基于运动仿真的变速比齿扇齿廓设计方法 by 党兰焕, 贺敬良, 童亮

“…Based on the principle of gear machining generating method,a modeling method-variable center distance gear modeling method for variable ratio gear sector profile is put forward.With a given rack parameter and required variable ratio transmission,variable ratio gear sector 3D model could be quickly obtained.An example of designing and calculating variable ratio gear sector profile by the method is given.The analysis shows that the method is concise,practical,and it is suitable for noncircular gear tooth profile design and calculation,especially for the variable ratio steering gear tooth profile design and calculation.…”
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