Interleaved Landsman Converter with Class Topper Optimized PI Control in Sensorless BLDC Motor Drive for Electric Vehicle by Suresh V., Jahnavi V.G., Manjula D., Lokesh M.

“…In order to achieve the set goals, the following tasks were accomplished: The scientific novelty of this work lies in the design of a novel interleaved Landsman converter along with Class Topper Optimization (CTO) algorithm. The converter is designed to optimize power conversion from photovoltaic (PV) sources to the energy required for the BLDC motor; the algorithm is implemented to hyper-tune the PI controller for precise and rapid response; a bidirectional converter was employed to manage the charging and discharging of the battery system, ensuring adequate power distribution during peak demands; and a single-phase voltage source inverter (VSI) was utilized for DC-AC conversion to drive the BLDC motor. …”
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Field Development Optimization for Low-Productivity Gas Wells under Intermittent Production by Wei Tian, Yi Liu, Xuri Li, Youliang Jia, Yixuan Wang, Li Li, Zhengyan Zhao, Weihong Ding, Wenxin Zhou, Wenyue Sun

“…Therefore, an optimization method for intermittent gas wells based on particle swarm optimization (PSO) algorithm and deep-learning model is proposed. The PSO algorithm determines the optimal schedule, while the deep-learning model forecasts key cycle parameters for these potential schedules. …”
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QoE-Driven Big Data Management in Pervasive Edge Computing Environment by Qianyu Meng, Kun Wang, Xiaoming He, Minyi Guo

“…Our simulation results reveal that our proposed algorithm can achieve high QoE performance.…”
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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

“…The proposed approach combines a transformer-based encoder trained with a triplet-based contrastive learning objective and the classical density-based clustering algorithm DBSCAN, enabling strong feature extraction, efficient and interpretable feature space organization and simple clustering algorithm. …”
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Cluster analysis of digital competencies among professors in higher education by Karime Chahuán-Jiménez, Eduardo Lara-Yergues, Dominique Garrido-Araya, Elena Salum-Alvarado, Paulina Hurtado-Arenas, Rolando Rubilar-Torrealba

“…Regarding the clustering analysis, specifically using the K-means clustering algorithm, four distinct clusters are identified based on the questionnaire scores, aligning with findings from Silhouette score and Quadratic error by number of clusters.DiscussionThis research reveals that professors in higher education span all four levels of competency as defined by the DigComEdu model, primarily falling within the intermediate levels of digital competencies. …”
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Design of Super Resolution and Fuzzy Deep Learning Architecture for the Classification of Land Cover and Landsliding Using Aerial Remote Sensing Data by Junaid Ali Khan, Muhammad Attique Khan, Mohammed Al-Khalidi, Dina Abdulaziz AlHammadi, Areej Alasiry, Mehrez Marzougui, Yudong Zhang, Faheem Khan

“…The efficacy and stability of convolutional neural networks increase in image classification with the specified use of feature selection algorithm that causes remarkably improved decision making. …”
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Personal air cleaning by a user-tracking robot equipped with a nanofiber air cleaner in a large work space by Chengzhong Deng, Zhuolun Niu, Chun Chen

“…The results show that the user-tracking algorithm of the user-tracking robot was accurate, with an average absolute error in the user-to-robot distance of 4 cm. …”
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Identification of Maize Kernel Varieties Using LF-NMR Combined with Image Data: An Explainable Approach Based on Machine Learning by Chunguang Bi, Xinhua Bi, Jinjing Liu, He Chen, Mohan Wang, Helong Yu, Shaozhong Song

“…Meanwhile, five image morphological features were selected using the recursive feature elimination (RFE) algorithm. Before modeling, principal component analysis (PCA) was used to determine the distribution features of the internal components for each maize variety. …”
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Prediction of High-Pressure Physical Properties of Crude Oil Using Explainable Machine Learning Models by Yawen He, Jianwen Chen, Zhiyu Wu, Yaxin Dun, Guichao Du, Mengsen Feng, Yifan Lu, Wei Dang

“…Optimal parameters, including gas-oil ratio, saturation pressure, volume factor, formation crude oil density, and formation crude oil viscosity, are selected, and the Particle Swarm Optimization (PSO) algorithm is applied to further optimize the model, resulting in the PSO-XGBoost prediction model. …”
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Adaptive polarimetric optimization for ground deformation monitoring using multi-temporal InSAR with dual-polarization sentinel-1 by Leixin Zhang, Feng Zhao, Yunjia Wang, Jordi J. Mallorqui, Teng Wang, Yuxuan Zhang, Zhongbo Hu, Sen Du, José Fernández

“…To address these challenges, we propose an adaptive coherency matrix decomposition method for PolMTI (ADCMD-PolMTI), a novel algorithm that adaptively and effectively optimizes phase of both PS and DS pixels. …”
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DEPEND study protocol: early detection of patients with pancreatic cancer – a pilot study to evaluate the utility of faecal elastase-1 and 13C-mixed triglyceride breath test as scr... by Christopher D Byrne, Sam Wilding, Paul Remi Afolabi, Declan McDonnell, Victoria Goss, Jocelyn Walters, Zaed Z Hamady

“…This study will construct a predictive algorithm for PC, using two tests of pancreatic exocrine function, FE-1 test and the 13C-MTG breath test. …”
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Identifying Top-Performing Students via VKontakte Social Media Communities Using Advanced NLP Techniques by Sergei S. Gorshkov, Dmitry I. Ignatov, Anastasia Yu. Chernysheva, Vyacheslav L. Goiko, Vitaliy V. Kashpur

“…This paper introduces an algorithm designed to identify students with exceptional academic performance by analyzing their subscriptions to communities on the social network VKontakte. …”
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Management of Energy Exchange Process on Metro Rolling Stock with On-Board Capacitive Energy Storage by Sulym A.O., Khozia P.O., Fomin O.V., Bahrov O.M.

“…The third task is to synthesize a control system for energy exchange pro-cesses on metro rolling stock with capacitive energy storage devices and an algorithm for its op-eration. The fourth task is to check the functioning of the synthesized control system and its op-erating algorithm. …”
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Refactoring BZIP2 on the new‐generation sunway supercomputer by Xiaohui Liu, Zekun Yin, Haodong Tian, Wubing Wan, Mengyuan Hua, Wenlai Zhao, Zhenchun Huang, Ping Gao, Fangjin Zhu, Hua Wang, Xiaohui Duan

“…This paper focuses on the design and realization of a parallelized BZIP2 algorithm tailored for deployment on the New‐Generation Sunway supercomputing platform. …”
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Analysis of the Impact of Big Data on E-Commerce in Cloud Computing Environment by Rongrui Yu, Chunqiong Wu, Bingwen Yan, Baoqin Yu, Xiukao Zhou, Yanliang Yu, Na Chen

“…Secondly, considering the large amount of data in the e-commerce system and the complex calculation of the data mining algorithm, this paper uses MapReduce to realize the parallelization of the data mining algorithm and builds a Hadoop-based commodity recommendation subsystem on this basis. …”
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State-of-Charge Estimation of Lithium-Ion Battery Pack Based on Improved RBF Neural Networks by Li Zhang, Min Zheng, Dajun Du, Yihuan Li, Minrui Fei, Yuanjun Guo, Kang Li

“…Then, the particle swarm optimization (PSO) algorithm is used to optimize the kernel parameters. …”
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A Practical Approach for Fault Location in Transmission Lines with Series Compensation Using Artificial Neural Networks: Results with Field Data by Simone Aparecida Rocha, Thiago Gomes de Mattos, Eduardo Gonzaga da Silveira

“…Subsequently, the new algorithm is described and applied to simulated and real fault cases. …”
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The optimization of consensus decision-making for a multi-microwave source system based on composite leader-follower clustering for intelligent agent-based joint heating temperatur... by Biao Yang, Baowei Song, Cheng Cheng, Youpeng Zhao, Haiqin Yang, Yuchen Li, Zhongyi He

“…Consensus decisions between multiple leader decision points were made through a weight allocation algorithm, achieving a dynamic balance between temperature control and temperature field optimization. …”
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High-Resolution High-Squint Large-Scene Spaceborne Sliding Spotlight SAR Processing via Joint 2D Time and Frequency Domain Resampling by Mingshan Ren, Heng Zhang, Weidong Yu

“…A frequency domain imaging algorithm, featured as joint two-dimensional (2D) time and frequency domain resampling, used for high-resolution high-squint large-scene (HHL) spaceborne sliding spotlight synthetic aperture radar (SAR) processing is proposed in this paper. …”
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Optimizing ternary hybrid nanofluids using neural networks, gene expression programming, and multi-objective particle swarm optimization: a computational intelligence strategy by Tao Hai, Ali Basem, As’ad Alizadeh, Pradeep Kumar Singh, Husam Rajab, Chemseddine Maatki, Nidhal Becheikh, Lioua Kolsi, Narinderjit Singh Sawaran Singh, H. Maleki

“…Three machine learning techniques—GMDH-type neural network, gene expression programming, and combinatorial algorithm—are applied to model dynamic viscosity and thermal conductivity as functions of the input variables. …”
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