Research on the Macrocell Wireless Channel Model Based on Physic-Inspired Support Vector Regression Algorithm Wireless Channel Model in Macrocell Environment by Qi Yao, Zhongyu Liu, Lixin Guo, Jiang Guo, Zuoyong Nan, Wei Liu, Jiangting Li

“…The method embeds the building transmission model (BTM) into a machine learning framework based on support vector regression. …”
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A deep neural network framework for estimating coastal salinity from SMAP brightness temperature data by Yidi Wei, Qing Xu, Qing Xu, Xiaobin Yin, Xiaobin Yin, Yan Li, Yan Li, Kaiguo Fan

“…Despite advancements in satellite-based radiometry such as NASA’s Soil Moisture Active Passive (SMAP), significant challenges persist in coastal SSS retrieval due to radio frequency interference (RFI), land-sea contamination, and complex interactions of nearshore dynamic processes.MethodThis study proposes a deep neural network (DNN) framework that integrates SMAP L-band brightness temperature data with ancillary oceanographic and geographic parameters such as sea surface temperature, the shortest distance to the coastline (dis) to enhance SSS estimation accuracy in the Yellow and East China Seas. …”
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Processing ambient noise using wavelet analysis tools: the Iraqi Seismological broadband Network Data at Iraqi Meteorological Organization and seismology (IMOS) by Hasanain Jasim Mohammed, Ali M. Al-Rahim

“…The outcomes seem that ways compared with other denoising methods, using the Continuous Wavelet Transform has many natural translation-invariant and time-frequency properties and improve considerably the results compared to those using traditional filters. …”
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A Study on Tool Breakage Detection Technology Based on Current Sensing and Non-Contact Signal Analysis by Chia-Hung Lai, Sih-Hao Huang, Ting-En Wu, Chia-Chun Lai

“…Tool breakage in CNC machining often leads to reduced productivity and increased maintenance costs. …”
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Tool wear prediction based on XGBoost feature selection combined with PSO-BP network by Zhangwen Lin, Yankun Fan, Jinling Tan, Zhen Li, Peng Yang, Hua Wang, Weiwei Duan

“…These findings suggest that the proposed method can effectively predict tool wear in real-world CNC machining, contributing to improved production efficiency, reduced tool replacement frequency, and lower maintenance costs, thereby providing valuable insights for industrial applications.…”
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Non-invasive acoustic classification of adult asthma using an XGBoost model with vocal biomarkers by Yi Lyu, Quan-Cheng Jiang, Shuai Yuan, Jing Hong, Chun-Feng Chen, Hai-Mei Wu, Yi-Qin Wang, Yu-Jing Shi, Hai-Xia Yan, Jin Xu

“…Abstract Traditional diagnostic methods for asthma, a widespread chronic respiratory illness, are often limited by factors such as patient cooperation with spirometry. …”
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Stability and process control of single-diamond grinding based on clustering of processing morphology data by Xinyu XU, Xiansong HE, Zhaojie CHEN, Jingying ZHANG, Linfeng YANG, Jin XIE

“…The working mode analysis is performed to solve the natural frequency and the damping ratio of the machining system. …”
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Dual-feature speech emotion recognition fusion algorithm based on wavelet scattering transform and MFCC by YING Na, WU Shunpeng, YANG Meng, ZOU Yujian

“…Then, the wavelet scattering features were expanded in the scale dimension and applied support vector machines to obtain posterior probabilities for emotion recognition. …”
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On the connection between least squares, regularization, and classical shadows by Zhihui Zhu, Joseph M. Lukens, Brian T. Kirby

“…Here, we clarify and explore the connection between CS techniques and least squares (LS) and regularized least squares (RLS) methods commonly used in machine learning and data analysis. …”
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English Vocabulary Learning Aid System Using Digital Twin Wasserstein Generative Adversarial Network Optimized With Jelly Fish Optimization Algorithm by Fei Wu

“…The main goal of NLP is typically word segmentation. Since the machine learning techniques cannot be directly applied to the practical issue of significant structural disparities between various data modalities in a multi-modal context. …”
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Development and Test of Pomelo Fruit Inventory Grading Management System Based on RFID Technology by Haijun QI, Jintao ZHANG, Bofeng ZENG, Yizhi LUO, Xingxing ZHOU

“…【Objective】Aiming at the problems of easy damage of bulk stacking, difficulty in inventory grading management, and low degree of digitization in inventory management of pomelo processing and circulation enterprises, a digital management system for pomelo inventory grading was proposed.【Method】Based on radio frequency identification(RFID) technology, a pomelo inventory grading management system was designed and developed with pomelo sorting equipment and wooden fruit frames. …”
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The impact of passive ultrasonic irrigation on the bond strength of two different self-etch adhesives to human pulp chamber dentine: a laboratory investigation by Mohammed Turky, Jukka Matinlinna, Monika Lukomska-Szymanska, Venkateshbabu Nagendrababu, Paul M. H. Dummer, Ahmad Abdel Hamid Elheeny, Nermin Alsayed Mahmoud

“…Statistical analysis was conducted using one-way ANOVA and Tukey’s post hoc tests to compare irrigation regimens for each adhesive technique independently, while failure modes of each adhesive system were represented as the frequency for each irrigation method. The significance level was set at 5%, with a confidence interval (CI) of 95%. …”
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An investigation into certain Persian Suffixes extracted from Tǎrix-ol-vozarǎ: natural morphology by shiva ahmadi, jalal Rahimian

“…A suggestion for future studies is to conduct a corpus-based analysis of subject suffixes in Persian language teaching coursebooks to determine whether these books teach subject suffixes, considering their ranking of naturalness and unmarkedness.   Materials and methods As this paper is corpus-based, the data were made machine-readable. …”
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Characteristics of five-phase acupoints from data mining of randomized controlled clinical trials followed by multidimensional scaling by Seoyoung Lee, Yeonhee Ryu, Hi-Joon Park, In-Seon Lee, Younbyoung Chae

“…In this study, we used machine-learning methods to examine clinical trial data for diseases treated using prescribed five-phase acupoint patterns. …”
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An interpretable survival model for diffuse large B-cell lymphoma patients using a biologically informed visible neural network by Jie Tan, Jiancong Xie, Jiarong Huang, Weizhen Deng, Hua Chai, Yuedong Yang

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Efficient Design of a Terahertz Metamaterial Dual-Band Absorber Using Multi-Objective Firefly Algorithm Based on a Multi-Cooperative Strategy by Guilin Li, Yan Huang, Yurong Wang, Weiwei Qu, Hu Deng, Liping Shang

“…Traditional design processes are complex and time-consuming. Machine learning-based methods, such as neural networks and deep learning, require a large number of simulations to gather training samples. …”
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SIMULATION AND EXPERIMENTAL RESEARCH ON MILLING SURFACE TOPOGRAPHY BASED ON CUTTING VIBRATION by PAN LiMei, QIAN Wei, LIU Jin, YE Yi, GUO MiaoXian

“…The surface topography of parts serves as a crucial role for machining quality. In order to achieve accurately prediction of the surface topography of precision milling, a surface topography simulation method based on wavelet packet analysis and frequency spectrum analysis of cutting vibration is proposed in this paper. …”
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Training and synchronizing oscillator networks with Equilibrium Propagation by Théophile Rageau, Julie Grollier

“…Scaling up oscillator-based systems requires advanced gradient-based training methods that also ensure robustness against frequency dispersion between individual oscillators. …”
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Digital technology for spectral analysis of oscillation parameters by A. V. Gulaj, V. M. Zajcev

“…Performing the Fourier analysis of the harmonic composition of oscillations is an effective approach to the study of vibration processes in machines and mechanisms. This method of express control remains relevant and highly demanded in the acoustic diagnostics of machines due to its relatively high informativeness. …”
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Dynamic Spectrum Coexistence of NR-V2X and Wi-Fi 6E Using Deep Reinforcement Learning by Kashish D. Shah, Dhaval K. Patel, Brijesh Soni, Siddhartan Govindasamy, Mehul S. Raval, Mukesh Zaveri

“…Most existing works on coexistence rely on rule-based approaches or classical machine learning algorithms. These approaches may fall short in real-time environments where adaptive decision-making is required. …”
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