Reverse Oil Flow Characterization in Transformer Windings: A Fluid-Thermal Network Approach by Lujia Wang, Jianghao Qi, Yifan Chen, Lebin Zhang, Jianwen Zhang

“…This study provides a theoretical foundation for the identification and mitigation of reverse oil flow in future applications.…”
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A hybrid security protocol based on honey encryption and hyperchaotic systems for improving security in internet of things by Weimeng Wang, Chengliang Liu, Weiqiao Zhu, Chenhui Xie

“…Also, in terms of security, this method has been able to improve the security of information, which has achieved values of 1.041 and 0.49, respectively, using the Mean Squared Error and Bit Error Ratio criteria.…”
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Multi-Dimensional Motion Parameter Estimation of a Rotating Object Based on Orbital Angular Momentum by Bowen He, Kun Tang, Guiping Jin, Yuehui Cui

“…The translational motion exhibits an error of 6.33%, while the error in the inclination angle is 2.6%. …”
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Estimation of Solar Diffuse Radiation in Chongqing Based on Random Forest by Peihan Wan, Yongjian He, Chaoyu Zheng, Jiaxiong Wen, Zhuting Gu

“…The model was validated using 8179 measured data points, demonstrating good predictive capability with a correlation coefficient (R²) of 0.72, a mean absolute error (MAE) of 35.99 W/m², and a root mean square error (RMSE) of 50.46 W/m². …”
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QSAR Models for Predicting the Antioxidant Potential of Chemical Substances by Sofia Ghironi, Edoardo Luca Viganò, Gianluca Selvestrel, Emilio Benfenati

“…Antioxidants are widely studied compounds with significant applications in the nutraceutical and dietary industries. …”
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A Statistical Optimization Method for Sound Speed Profiles Inversion in the South China Sea Based on Acoustic Stability Pre-Clustering by Zixuan Zhang, Ke Qu, Zhanglong Li

“…The acoustic stability pre-clustering technology proposed in this study provides an innovative solution for the statistical modeling of marine environment parameters by effectively decoupling the mixed effect of SSP spatiotemporal disturbance patterns. Its error control level (<1.5 m/s) is 37% higher than that of the single empirical orthogonal function regression method, showing important potential in underwater acoustic applications in complex marine dynamic environments.…”
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Innovative Analog Processing-Based Approach for Power-Efficient Wireless Transceivers by Mir Mahdi Safari, Jafar Pourrostam, Behzad Mozaffari Tazehkand

“…Moreover, our proposed analog demodulation scheme can achieve the same error performance as its digital counterpart with more than <inline-formula> <tex-math notation="LaTeX">$28\times $ </tex-math></inline-formula> power savings.…”
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Enhancing Streamflow Prediction Accuracy: A Comprehensive Analysis of Hybrid Neural Network Models with Runge–Kutta with Aquila Optimizer by Rana Muhammad Adnan, Wang Mo, Ahmed A. Ewees, Salim Heddam, Ozgur Kisi, Mohammad Zounemat-Kermani

“…Results show that the LSTM-RUNAO model outperformed conventional ANN methods, achieving a 28.7% reduction in root mean square error (RMSE) and a 20.3% reduction in mean absolute error (MAE) compared to standard ANN models. …”
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Forecasting High‐Speed Solar Wind Streams From Solar Images by Daniel Collin, Yuri Shprits, Stefan J. Hofmeister, Stefano Bianco, Guillermo Gallego

“…Our forecast achieves a root mean square error (RMSE) of 68.1 km/s for the SWS prediction and an RMSE of 76.8 km/s for the HSS peak velocity prediction for 2010 to 2019. …”
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Controlling the energies of the single-rotor large wind turbine system using a new controller by Habib Benbouhenni, Nicu Bizon, Ilhami Colak, Z. M. S. Elbarbary, Saad F. Al-Gahtani

“…The controller’s outstanding performance makes it a promising solution for broader industrial applications.…”
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Pointer Meter Reading Recognition Based on YOLOv11-OBB Rotated Object Detection by Xing Xu, Liming Wang, Chunhua Deng, Bi He

“…Experimental findings demonstrate that the proposed method achieves a mean Average Precision (mAP) of 99.1% in a self-compiled pointer instrument dataset. The average relative error of readings is 0.41568%, with a maximum relative error of less than 1.1468%. …”
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High-isolation dual-band MIMO antenna for next-generation 5G wireless networks at 28/38 GHz with machine learning-based gain prediction by Md Ashraful Haque, Redwan A. Ananta, Md. Sharif Ahammed, Jamal Hossain Nirob, Narinderjit Singh Sawaran Singh, Liton Chandra Paul, Reem Ibrahim Alkanhel, Ahmed A. Abd El-Latif, May Almousa, Abdelhamied A. Ateya

“…Among the five different regression machine learning models considered, it was discovered that the Random Forest Regression (RFR) model performed the best in accuracy and achieved the lowest error when predicting gain. This article explores many approaches, including simulation, integration of an RLC-equivalent circuit model, and multiple regression models, to evaluate the suitability of an antenna for its 5G applications.…”
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A hybrid deep learning framework for global irradiance prediction using fuzzy C-Means, CNN-WNN, and Informer models by Walid Mchara, Lazhar Manai, Mohamed Abdellatif Khalfa, Monia Raissi, Wissem Dimassi, Salah Hannachi

“…The proposed CNN-WNN-Informer model achieved average reductions across all cities of 67.7% in t-statistic, 73.9% in Mean Absolute Percentage Error (MAPE), 82.5% in Mean Absolute Bias Error (MABE), and 59.0% in Root Mean Square Error (RMSE), underscoring its significant improvements. …”
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Day-ahead photovoltaic power generation forecasting with the HWGC-WPD-LSTM hybrid model assisted by wavelet packet decomposition and improved similar day method by Ruxue Bai, Jinsong Li, Jinsong Liu, Yuetao Shi, Suoying He, Wei Wei

“…This comparison is based on four performance metrics: Mean Absolute Error (MAE), Root Mean Square Error (RMSE), normalized Root Mean Square Error (NRMSE), and Mean Absolute Deviation (MAD). …”
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Ethical and regulatory challenges in machine learning-based healthcare systems: A review of implementation barriers and future directions by Shehu Mohammed, Neha Malhotra

“…Nonetheless, the increasing proliferation of such ML applications in practice raises potential ethical and regulatory obstacles that may prevent their widespread adoption in healthcare. …”
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Myoelectric Control Techniques for a Rehabilitation Robot by Alan Smith, Edward E. Brown

“…Results showed an average error of 19° for the two joints. This myoelectric control scheme has the potential of being used in the development of exoskeleton and orthotic rehabilitation applications.…”
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Resident Case Series: Blood Flow Restriction as an Adjunct to Strengthening Exercises in Two Patients with Subacromial Impingement and High Irritability by Angel Ceballos, Giorgio Zeppieri Jr., Joel Bialosky

“…Patients with subacromial impingement syndrome (SAIS) can present with pain during and after completion of heavy resistance training limiting the applicability of this recommended treatment approach. …”
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Hybrid signal algorithm detection in NOMA 5G waveform: Transforming smart healthcare connectivity by reducing latency by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…For 16 × 16 and 64 × 64 MIMO-NOMA, the Bit error rate (BER) was evaluated and compared for Long Short-Term Memory (LSTM), ZFE, MMSE, and Maximum likelihood (ML) detection, and the proposed ZFE-MMSE algorithms. …”
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A Vision-Based Method for Detecting the Position of Stacked Goods in Automated Storage and Retrieval Systems by Chuanjun Chen, Junjie Liu, Haonan Yin, Biqing Huang

“…The lightweight variant maintains competitive accuracy while reducing the model size by 34% and increasing the inference speed by 68%. In practical applications, the system achieves pose estimation with a Mean Absolute Error within 4 cm and a Rotation Angle Error below 2°, demonstrating robust performance in complex warehouse environments. …”
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Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid by Emmanuel Ogbodo, David Dorrell, Adnan Abu-Mahfouz

“…Smart grid applications require prompt, reliable, and efficient communication with low latency. …”
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