Lightweight Football Motion Recognition and Intensity Analysis Using Low-Cost Wearable Sensors by Qian Xie, Ning Jin, Shanshan Lu

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Enhancing Wireless Communication Efficiency Using Dynamic Nonlinear Distortion Adaptive Optimization Analysis by Jayarani R, Narmadhai N

“…Simulation results show that DNDAOA significantly increases spectrum efficiency, reduces error rates, and improves signal quality. This method is widely used in areas such as wireless telecommunications, internet of things (IoT), autonomous vehicles, and smart infrastructure, driving advances in connectivity, reliability, and data integrity.…”
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Performance analysis of non-linear constellation precoded NOMA over Rayleigh fading channel by Narasimman Manogaran, Muthuchidambaranathan Palanivel

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Voice as a Health Indicator: The Use of Sound Analysis and AI for Monitoring Respiratory Function by Nicki Lentz-Nielsen, Lars Maaløe, Pascal Madeleine, Stig Nikolaj Blomberg

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Understanding forest insect outbreak dynamics: a comparative analysis of machine learning techniques by Roberto Molowny-Horas, Saeed Harati-Asl, Liliana Perez

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Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning by Zhangjian Guo, Tongling Wang, Shuxun Chi, Li Huang

“…Additionally, by analyzing the relationship between the X, Y, and Z-axis accelerations, overall magnitude, and energy consumption, a multidimensional feature analysis framework is proposed to enhance the model’s comprehensive understanding of motion data. …”
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Safety Evaluation of Perforated String by Simulation Modeling and Mechanics Analysis Under Shock Loading by Dong Yang, Qiao Deng, Meng Yuan, Gang Cui, Dongyang Fan, Bo Jia

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Plastic to apparel: an analysis of sustainable purchasing intention using a machine learning ensemble by Carmella Andrea L. Cabrera, Ardvin Kester S. Ong, John Francis T. Diaz, Maela Madel L. Cahigas, Ma. Janice J. Gumasing

“…Data preprocessing using feature selection and correlation analysis was conducted to validate the available data, performed data cleaning process, and data aggregation. …”
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Comparative Analysis of ARIMA and lSTM Predictive Models: Evidence from Russian Stocks by A. V. Alzheev, R. A. Kochkarov

“…The article aims to find the best time series predictive model, considering the minimization of errors and high accuracy of the prediction. The authors performed the comparative analysis of the most popular “traditional” econometric model ARIMA and the deep learning model LSTM (Long short-term memory) based on a recurrent neural network. …”
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Beyond Immediate Needs: An Analysis of Social Insurance and Its Behavioral Economic Impact in Indonesia by Ucca Bhanuwati Astutiningtyas Palupi

“…The study utilises a vector error correction model (VECM) test as a tool to analyse quarter data from several online source datasets, including household consumption expenditures, gross national income, and capital stock from bps.go.id, social insurance participations from djsn.go.id, inflation and national savings proxy by broad money M2 from bi.go.id in the form of quarterly data, starts from 2016 Q1 until 2023 Q3. …”
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THE SUMMER TEMPERATURES FORECAST BY THE METHOD OF SINGULAR-SPECTRAL ANALYSIS IN THE SOUTH OF RUSSIA IN 2019-2023 by A. A. Tashilova, B. A. Ashabokov, L. A. Kesheva, N. V. Teunova

“…Materials and methods of the research: Based on the meteorological data for the period 1961-2018 provided by the North Caucasus Department of Hydrometeorology and Environmental Monitoring, an analysis and forecast of the series of summer temperatures in the south of the European territory of Russia (ETR) was made. …”
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Multiuser Diversity Over Parallel and Hybrid FSO/RF Links and Its Performance Analysis by Li Chen, Weidong Wang, Chi Zhang

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Advanced QSPR modeling of profens using machine learning and molecular descriptors for NSAID analysis by W. Eltayeb Ahmed, Muhammad Farhan Hanif, Muhammad Kamran Siddiqui, Brima Gegbe

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Application of Principal Component Analysis-Assisted Neural Networks for the Rotor Blade Load Prediction by Jiahong Zheng, Shuaike Jiao, Ding Cui

“…This paper presents a novel approach of principal component analysis- (PCA-) assisted back propagation (BP) neural networks for the problem of rotor blade load prediction. 86.5 hours of real flight data were collected from many steady-state and transient flight maneuvers at different altitudes and airspeeds. …”
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Dynamic Deformation Analysis of Super High-Rise Buildings Based on GNSS and Accelerometer Fusion by Xingxing Xiao, Houzeng Han, Jian Wang, Dong Li, Cai Chen, Lei Wang

“…The NRBO-FMD method preprocesses GNSS and accelerometer data to mitigate GNSS multipath effects, unmodeled errors, and high-frequency noise in accelerometer signals. …”
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Forensic Video Analysis: Passive Tracking System for Automated Person of Interest (POI) Localization by Aftab Khan, Sakhi Rehman, Muhammad Waleed, Ashfaq Khan, Umair Khan, Tariq Kamal, Shehryar Khan Afridi, Safdar Nawaz Khan Marwat

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Comparative Analysis of Neural Network Models for Predicting Battery Pack Safety in Frontal Collisions by Jun Wang, Ouyang Chen, Zhenfei Zhan, Zhiwei Zhao, Huanhuan Bao

“…Initially, a finite element model of the battery pack was developed, and the accuracy of the model was verified by performing modal analysis with various commercial software tools. Then, representative samples were collected using optimal Latin hypercube sampling, followed by collision simulations to gather data under different collision conditions. …”
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Neural network analysis of mortality risk predictors in patients after acute coronary syndrome by D. A. Shvets, A. Yu. Karasev, M. V. Smolyakov, S. V. Povetkin, V. I. Vishnevsky

“…To study the possibilities of neural network analysis of clinical and instrumental data to predict the mortality risk in patients after acute coronary syndrome (ACS).Material and methods. …”
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Analysis of the impact of mobile robots on the efficiency of warehousing and transport processes in modern textile manufacturing by Karabegović Isak

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Prediction of Settlement Due to Shield TBM Tunneling Based on Three-Dimensional Numerical Analysis by Ji-Seok Yun, Han-Kyu Yoo, Sung-Pil Hwang, Woo-Seok Kim, Han-Eol Kim

“…The proposed model was statistically validated using <i>p</i>-value assessment, variance inflation factor (VIF), coefficient of determination (R²), and residual analysis. Furthermore, the prediction model showed high agreement with the field data, yielding a prediction error of 8.25%. …”
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