Integration Research of Pantograph-Catenary Detection System for Intelligent Operation and Maintenance of Heavy-haul Locomotive by Jiejun LYU, Hongjun HE, Congjian JIANG

“…The test showed that the systems can realize on-line detection, fault diagnosis, intelligent prediction,emergency treatment and pantograph health management of pantograph-catenary system, improve the online detection and evaluation effect of pantograph-catenary system, and ensure the safety and reliability of line traction power supply.…”
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IMPLEMENTASI METODE RANDOM FOREST DALAM MEMPREDIKSI SINYAL PERGERAKAN SAHAM by MOCH. ANJAS APRIHARTHA, M. HUSNIYADI, TAUFIK NUR ALAM

“…Random forest is a combination algorithm of several decision trees used to solve prediction or classification problems. …”
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Design and Application of Digital Twin-Based Brain Control System by Yinan Wang, Hongyang Jin, Zongwei Yao, Zhiyong Chang, Deping Wang

“…The limitations in hardware and algorithm performance result in low recognition rates of BCI commands, hindering the system’s ability to perform efficiently and reliably, thus failing to meet the safety requirements. …”
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Research and application of intelligent learning path optimization based on LSTM-Transformer model by Jinling Wang, Wandong Chai

“…Based on this, this study proposes a hypothesis: the intelligent learning path optimization strategy based on the LSTM-Transformer model can achieve accurate prediction and personalized optimization of learners' learning paths with the help of deep learning technology. …”
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The Multiobjective Based Large-Scale Electric Vehicle Charging Behaviours Analysis by Yimin Zhou, Zhifei Li, Xinyu Wu

“…The residential traveling historical data of EVs are analyzed and fitted to predict their probability distribution, so that the models of the traveling patterns can be established. …”
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An Early Warning Method of Unbalanced Power Battery Capacity Attenuation Based on ARIMA Model by KANG Zuchao, XIONG Gang, WANG Wenming, ZHONG Xiongwu, ZHOU Yanhui

“…It is of important significance to study a timely warning algorithm of the unbalance of power battery capacity attenuation. …”
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Research on Soft-Sensing Methods for Measuring Diene Yields Using Deep Belief Networks by Xiangwu Deng, Zhiping Peng, Delong Cui

“…Motivated by this, this article has studied soft-sensing technology for measuring diene yields. A diene yield prediction method based on a deep belief network algorithm network is proposed, and the regularity of historical diene yield data is fully explored by the method. …”
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Aggregation-Based Ensemble Classifier Versus Neural Networks Models for Recognizing Phishing Attacks by Wojciech Galka, Jan G. Bazan, Urszula Bentkowska, Kamil Szwed, Marcin Mrukowicz, Pawel Drygas, Lech Zareba, Marcin Szpyrka, Piotr Suszalski, Sebastian Obara

“…Aggregation functions are employed to integrate the prediction values of classification models applied in the email phishing problem. …”
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Tasmanian devil whale optimization (TDWO) is introduced for secure video transmission in 5G networks. by Fengren Lin, Minrong Lu

“…Thus, a resource allocation algorithm named Tasmanian devil whale optimization (TDWO) is introduced for secure video transmission in 5G networks. …”
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Hybrid Reactive Power Compensator with Adaptation of the Operation of the Control System to the Parameters of the Mains Voltage by Goolak S., Tkachenko V., Kyrychenko M., Kozlov S.

“…The most important result is the development of a block diagram of the control system for the active part of the reactive power compensator based on the implementation of the Levinson-Durbin linear prediction algorithm. The significance of the results obtained lies in the possibility of the proposed control scheme for the active part of the compensator to adapt the operation of the compensator to the voltage parameters of the catenary, that is, to the actual operating conditions of the electric locomotive.…”
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Online monitoring data processing methods for railway slopes and its application: A case study of the Shuohuang Railway by Mu GU

“…Subsequently, the CLEAN algorithm, introduced to the field of deformation monitoring, is utilized to suppress noise, minimizing its impact on subsequent deformation trend predictions. …”
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Мethodology for calculation of phase behavior of a natural hydrocarbon system with account of formation water mineralization by L. T. Abdrazakova, A. Gilmanov, A. P. Shevelev

“…Unlike the traditional algorithm, this methodology involves the Sechenov equation. …”
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Towards Machine Learning-Driven Catalyst Design and Optimization of Operating Conditions for the Production of Jet Fuel Via Fischer-Tropsch Synthesis by Parisa Shafiee, Bogdan Dorneanu, Harvey Arellano-Garcia

“…The random forest ML algorithm was evaluated for predicting CO conversion and C8-C16 selectivity using this dataset. …”
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Challenges of International Trade and Government Governance from the Perspective of Economic Globalization by Dan Ge

“…On the basis of expounding the particle swarm optimization algorithm and GMDH algorithm, the optimization mode, method, and process of GMDH network based on particle swarm optimization are also expounded. …”
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Handling method for GPS outages based on PSO-LSTM and fading adaptive Kalman filtering by Xiaoming Li, Xianchen Wang, Can Pei

“…Considering that the predicted pseudo-position may contain outliers or accumulated errors, a robust algorithm is employed to mitigate its impact on correcting INS errors. …”
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Mutual-Energy Inner Product Optimization Method for Constructing Feature Coordinates and Image Classification in Machine Learning by Yuanxiu Wang

“…Next, by combining the finite element method, a stable and efficient sequential linearization algorithm is constructed to solve the optimization model. …”
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A Bionic Goal-Oriented Path Planning Method Based on an Experience Map by Qiang Zou, Yiwei Chen

“…Our experimental validation demonstrates the method’s effectiveness in experience sequence prediction and goal-oriented global path planning. The comparative results highlight its superior performance over traditional Dijkstra’s algorithm, particularly in terms of adaptability to environmental changes and computational efficiency in optimal global path generation.…”
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A Comparative study of the Envisaged and Definite Stock Prices of BSE SMEs Using RNN during the COVID-19 Pandemic by S. Kaur, A. Munde, A. K. Goyal

“…The stock market is unstable, but the use of machine learning algorithms allows to predict its future dynamics before spending. …”
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Resolving the conformational ensemble of a membrane protein by integrating small-angle scattering with AlphaFold. by Samuel Eriksson Lidbrink, Rebecca J Howard, Nandan Haloi, Erik Lindahl

“…Several strategies have recently been developed to drive the machine learning algorithm AlphaFold2 (AF) to sample multiple conformations, but it is more challenging to a priori predict what states are stabilized in particular conditions and how the transition occurs. …”
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Estimating comprehensive growth index for drip-irrigated spring maize in junggar basin via satellite imagery and machine learning by Mingjie Ma, Jinghua Zhao, Tingrui Yang, Feng Liu, Yingying Yuan, Shijiao Ma, Zikang Chang

“…Based on random forest (RF) and its optimized models (Bayesian-optimized RF and sparrow search algorithm-optimized RF), a CGI estimation model was proposed. …”
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