Opinion Mining in Persian Language by Saeedeh Alimardani, Abdollah Aghaie

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Study on risk assessment of tunnel construction across mined-out region based on combined weight-two-dimensional cloud model by Haibin Liang, Xiong-gang Xie, Xuexi Chen, Qingsong Li, Wenjie He, Zhicheng Yang, Meirong Ren

“…The subjective weights of the indicators are determined by the G1 method, the objective weights are determined by the improved CRITIC method combined with the Random Forest (RF) machine learning method, and the combined weights are calculated using the game-theoretic combination assignment method. …”
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Measuring Amazon Rainfall Intensity With Sound Recorders by R. S. Xavier, M. Gosset, T. F. Maciel, T. Bicudo, L. A. do Nascimento, E. Ramalho, A. Fleischmann

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Enhanced Global Ionospheric Mapping Using Deep Ensemble Neural Networks With Uncertainty Quantification by Shuyin Mao, Yuanxin Pan, Grzegorz Kłopotek, Matthias Schartner, Hana Krásná, Aletha deWitt, Benedikt Soja

“…To develop the machine learning model, we first determined the VTEC time series based on the carrier‐to‐code leveling method using multi‐GNSS observations from global IGS stations. …”
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Recognizing Special Art Pieces Through EEG: A Journey in Neuroaesthetics Classification by Maurizio Palmieri, Marco Avvenuti, Francesco Marcelloni, Alessio Vecchio

“…The first two methods exploit classical machine learning approaches based on various sets of features extracted using different techniques for EEG analysis. …”
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Analysis of Nonlinear Dynamics of a Gear Transmission System Considering Effects of the Extended Tooth Contact by Fulin Liao, Xingyuan Zheng, Jianliang Huang, Weidong Zhu

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QLAW: An Improved Quantization-Based Local Audio Watermarking Scheme Using Inter-Frame Correlation by Qiutong Li, Zheng Xing, Ju Wang, Guoheng Huang, Xiaochen Yuan

“…To address this problem, this paper proposes a quantization-based local audio watermarking scheme using inter-frame correlation, integrating machine learning techniques and traditional methods. …”
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Intelligent Recognition Method of Turning Tool Wear State Based on Information Fusion Technology and BP Neural Network by Yanwei Xu, Lin Gui, Tancheng Xie

“…The optimum characteristic frequency band of acoustic emission and vibration acceleration signals was extracted by the wavelet envelope decomposition method so as to recognize tool wear condition as the characteristic parameters. …”
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A computational framework to characterize and compare the tonal repertoires of toothed whales by Maia Austin, Julie N. Oswald, Manali Rege‐Colt, Emma Gagne, Eric Angel Ramos, Joëlle De Weerdt, Nicola Ransome, Laura J. May‐Collado

“…This study reviews six bioacoustics software packages (Luscinia, Beluga, ARTwarp, DeepSqueak, PAMGuard and SASLab) using machine learning for toothed whale whistle detection, extraction of whistle fundamental frequency contours and categorization. …”
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Predicting Noise and User Distances from Spectrum Sensing Signals Using Transformer and Regression Models by Myke Valadão, Diego Amoedo, André Costa, Celso Carvalho, Waldir Sabino

“…This paper proposes a method for predicting noise levels and distances based on spectrum sensing signals using regression machine learning models. …”
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A fault diagnosis method for rolling bearing based on gram matrix and multiscale convolutional neural network by Xinyan Zhang, Shaobin Cai, Wanchen Cai, Yuchang Mo, Liansuo Wei

“…In this method, first, GM is used to reduce the noise of the collected vibration signals; Secondly, MSCNN is used for feature extraction, and the characteristics of vibration signals at different frequencies and time scales can be captured by the convolutional kernels of different scales; thirdly, two feature enhancement branches are added, utilizing the undenoised vibration signal as input, to enrich and diversify features while enhancing the model’s expressive and generalization capabilities; Finally, the experimental analysis was conducted on two bearing datasets to indicates that the noise robustness of GMSCNN is strong.…”
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Can a Smartphone Diagnose Parkinson Disease? A Deep Neural Network Method and Telediagnosis System Implementation by Y. N. Zhang

“…In this paper, we propose a machine learning based PD telediagnosis method for smartphone. …”
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Design of a Conveyer Trough Bolt Signal Acquisition System and Bayesian Ensemble Identification Method for Working State by Yi Lian, Bangzhui Wang, Meiyan Sun, Kexin Que, Sijia Xu, Zhong Tang, Zhilong Huang

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Recent Advances in WSN-Based Indoor Localization: A Systematic Review of Emerging Technologies, Methods, Challenges, and Trends by Nur Ahmad

“…It delves into both radio frequency (RF) and non-RF technologies, critically evaluating a spectrum of localization methods including fingerprinting, geometric mapping, proximity, and dead-reckoning. …”
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Advanced ECG feature extraction and SVM classification for predicting defibrillation success in OHCA by Haqi Zhang, Haqi Zhang, Xiaotian Pan, Xiaotian Pan, Shan Zhou, Weiwei Zhang, Jing Chen, Limin Pan

“…These features were derived using standard temporal and frequency domain methods. Subsequent analysis focused on selecting the most predictive features, with QRS complex amplitude, total power, and low-frequency power showing the highest discriminative ability based on their Area Under the Curve (AUC) values. …”
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A Hybrid Data-Driven Method for Main Circuit Gound Faults Diagnosis in Electrical Traction Drive Systems by Xinyao Hou, Juntong Liu, Jinxin Zhang, Qiang Ni

“…After comparative experiments using various machine learning methods, it was found that the RF used in the proposed method has a better diagnostic effect, and the correct isolation rate exceeds 99%.…”
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Structural optimisation of planetary gearbox components by Marinkovic Aleksandar, Sedak Miloš, Lazović Tatjana, Rosić Maja

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Short-term wind power forecasting method for extreme cold wave conditions based on small sample segmentation by Lin Lin, Jinhao Xu, Jianfei Liu, Hao Zhang, Pengchen Gao

“…On this basis, the Light Gradient Boosting Machine (LightGBM) method is used to predict power during normal weather periods, while a LightGBM-Transformer method is proposed for predicting power losses during such periods. …”
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Evaluation of Finger Movement Impairment Level Recognition Method Based on Fugl-Meyer Assessment Using Surface EMG by Adhe Rahmatullah Sugiharto Suwito P, Ayumi Ohnishi, Yudith Dian Prawitri, Riries Rulaningtyas, Tsutomu Terada, Masahiko Tsukamoto

“…This study employed two data processing mechanisms, inter-subject cross-validation (ISCV) and data-scaled inter-subject cross-validation (DS-ISCV), resulting in two evaluation methods. The machine learning algorithms employed in this study were SVM, random forest (RF), and multi-layer perceptron (MLP). …”
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Measurement Instruments and Software Used in Biotribology Research Laboratory by Tyurin Andrei, Ganus German, Stepanov Mikhail, Ismailov Gafurzhan

“…There are some difficulties for their full implementation today, especially when it regards the accuracy and frequency of measurements. The motion-measuring method in real-time system is considered in this article, paying special attention to increased accuracy. …”
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