Research on Customer Churn Prediction Using Machine Learning Models by Jia Xiaolei

“…With the increasing availability of customer data and advancements in machine learning techniques, accurate churn prediction has become more feasible and impactful. This research compares and analyzes the advantages and disadvantages of three different machine learning algorithms applied to customer churn prediction: random forest, decision tree, and neural network. …”
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Research and application of natural air-cooled traction transformer for EMU by JIN Jun

“…Through systematic research on key technologies, such as the complex flow field distribution of natural air, matching mechanisms for natural air cooling, designs for high impedance and low loss, and algorithms for multi-dimensional line transient temperature rise, a natural air-cooled traction transformer for EMUs was designed and implemented as the first of its kind in China. …”
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Research progress and prospects of grating linear displacement measurement technology by ZHAO Zhicai, YU Hai, WAN Qiuhua, ZHAO Changhai, LI Yongjie

“…Linear displacement measurement technology plays an essential role in the precision manufacturing sector, ensuring the accuracy of machining processes. Compared with other linear displacement measurement technologies, grating-based linear displacement measurement techniques offer high measurement precision, strong resistance to interference, and the ease of implementing large-scale measurements, making it a current research focus. …”
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Research and application of mining AI video edge computing technology by ZHANG Liya, HAO Bonan, MA Zheng, YANG Zhifang

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Development and Use of Biotechnological System Models in Applied Scientific Research by M. A. Kerimov

“…It was determined that the operation of such a system is influenced by a significantly greater number of factors compared to the «man-machine» system. The biotechnical system as a whole remains stochastic, while its control algorithms maintain a probabilistic nature. …”
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Integrating an artificial neural network with genetic, particle swarm optimization algorithms, and fuzzy rule to optimize the surface roughness in dry turning AISI 1045 steel by Abdulmajeed Dabwan, Mohammed K Almatani, Mohammed Alqahtani, Husam Kaid, Khaled N Alqahtani, Mustafa M Nasr, Adham E Ragab

“…Consequently, the machine learning technique is one of the major techniques to meet these requirements. This research aims to propose optimization methods including a hybrid artificial neural network (ANN) with genetic algorithms (GA) particle swarm optimization (PSO), and Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict and optimize surface roughness during dry machining of AISI 1045 steel. …”
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Repetitive Expressions in Chatbots and Consumer Psychology by Kosho Sen

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METHODS FOR SEARCHING AND COMPARING OBJECTS WHEN APPLYING THE SUBJECT-SUBJECT APPROACH TO MANAGEMENT REVIEW by N.Yu. Zaitseva, T.V. Moiseeva

Neural approach for rhyming word recommendations by Natalia Kosakowska, Aleksandra Borowska, Samuel Szurman

“… The research paper deals with the problem of rhyme generation. …”
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RETRACTED: Computerized Detection of Calcium Oxalate Crystal Progression by Hanan A. Hosni Mahmoud

“…The simulation results of the new temporal algorithm show an enhancement of the speed by 70% compared to well-known temporal algorithms, and increased accuracy when computing PRSN against other algorithms.…”
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Hadoop Processing Methods for Large Scale Video Data by Guangzhi Wu

“…To address this issue, research is conducted to improve the artificial fish swarm algorithm using particle swarm optimization algorithm, and the improved algorithm is applied to the distributed system architecture Hadoop to enhance Hadoop’s computation speed and accuracy of data. …”
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Precision forecasting for hybrid energy systems using five deep learning algorithms for meteorological parameter prediction by Ceren Ceylan, Zehra Yumurtacı

“…In addition, most of the research uses the same algorithmic solution to all the meteorological parameters without identifying parameter-specific optimization potential, and recent research is verified on actual future time steps instead of historical train-test split. …”
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Feature selection and aggregation for antibiotic resistance GWAS in Mycobacterium tuberculosis: a comparative study by Kirill Reshetnikov, Daria Bykova, Daria Bykova, Konstantin Kuleshov, Konstantin Kuleshov, Konstantin Chukreev, Egor Guguchkin, Alexey Neverov, Gennady Fedonin

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Research on collaborative scheduling strategies of multi-agent agricultural machinery groups by Ziyi Wang, Fan Zhang, Shiji Ma, Hailong Wang, Shunyao Zhang, Xiaozhong Gao

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THE DYNAMICS RESEARCH AND TEST VERIFICATION BASED ON THE MISALIGNMENT OF THE HIGH-SPEED SHAFT by HU Yu Nong, ZHANG YueChun, WANG Wen, LI Min, ZHANG Yong

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Intelligent path planning algorithms for UAVs: Classification, complexity analysis, hybrid ablation insights, and future directions by Dradoum Alaa, Khelassi Abdelmadjid, Lachekhab Fadhila

“…This paper offers an overview of UAV path planning research founded on intelligent algorithms, which are divided into three categories: computational intelligence (CI), machine learning (ML), and hybrid methods. …”
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A comparative framework to develop transferable species distribution models for animal telemetry data by Joshua A. Cullen, Camila Domit, Margaret M. Lamont, Christopher D. Marshall, Armando J. B. Santos, Christopher R. Sasso, Mehsin Al Ansi, Kristen M. Hart, Mariana M. P. B. Fuentes

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Machine Learning Approach to Identifying Empathy Using the Vocals of Mental Health Helpline Counselors: Algorithm Development and Validation by Ruvini Sanjeewa, Ravi Iyer, Pragalathan Apputhurai, Nilmini Wickramasinghe, Denny Meyer

“…The DeLong test further validated these results, showing a significant difference in the binary logistic model compared to the random forest (D=6.443, dfPP ConclusionsThis study suggests that the identification of empathy from vocal features alone is challenging, and further research involving multimodal models (eg, models incorporating facial expression, words used, and vocal features) are encouraged for detecting empathy in the future. …”
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Remote Photoplethysmography Technology for Blood Pressure and Hemoglobin Level Assessment in the Preoperative Assessment Setting: Algorithm Development Study by Selene Y L Tan, Jia Xin Chai, Minwoo Choi, Umair Javaid, Brenda Pei Yi Tan, Belinda Si Ying Chow, Hairil Rizal Abdullah

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NIRS and machine learning algorithms as a non-invasive technique to discriminate and classify cooked broiler and duck meat by Kamrunnahar Khan Bristy, Dip Ghosh, Md. Abul Hashem

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