Role of Steering Inequality in Quantum Key Distribution Protocol by Kaushiki Mukherjee, Tapaswini Patro, Nirman Ganguly

“…The characterization is based on the quantum bit error rate and violation of the CJWR inequality. …”
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Simulation Research on Position Sensorless Control and High-speed Restart of Permanent Magnet Synchronous Motor by CHEN Zhibo, GAO Jian, MEI Wenqing, SHANG Jing, HUANG Shoudao

“…Permanent magnet motors restart at high speeds is an essential and important function in applications in many key fields. Due to the unknown initial position of rotor and the observation error in this condition, improper control may cause current inrush or overcurrent fault. …”
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A high-accuracy exponential time integration scheme for the Darcy–Forchheimer Williamson fluid flow with temperature-dependent conductivity by Arif Muhammad Shoaib

“…Quantitative validation demonstrates that the scheme achieves second-order accuracy in time and sixth-order convergence in space, with a reduction in error norm of up to 18% compared to the classical second-order Runge–Kutta method. …”
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Future Precipitation Projection Based on Multiple Statistical Downscaling Methods — A Case Study of Tibetan Plateau by DONG Qianjin, YUAN Xin

“…Although the Coupled Model Intercomparison Project 6 (CMIP6) can well predict large-scale climatic factors,its effect on projecting watershed scales is still different from the measured data.The error of climate models is even bigger over the Tibetan Plateau,which is a high-altitude region with complicated terrain.Based on the historical scenario of the latest generation of high-resolution CMIP6 model and a variety of future climate emission scenarios such as SSP126,SSP245,SSP370,and SSP585,this paper conducts downscaling analysis and evaluates the projection performance of various statistical downscaling methods such as bias correction,KNN,and SDSM.On this basis,the best statistical downscaling method is used to project future precipitation over the Tibetan Plateau, and the spatial-temporal evolution characteristics of the projected precipitation are analyzed and compared with the historical precipitation over the Tibetan Plateau.The results reveal that the applicability amongst the three statistical downscaling methods in the Tibetan Plateau is large,with the linear regression downscaling method performing the best,followed by the bias correction method and the KNN analogy method.According to the analysis of future precipitation projections,the average precipitation and extreme precipitation over the Tibetan Plateau in the next 80 years will exhibit an overall upward trend,although the rise will be slight,and the spatial distribution will not change much.The results can provide a scientific foundation for the evaluation,planning,and management of water resources on the Tibetan Plateau.…”
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New insight into viscosity prediction of imidazolium-based ionic liquids and their mixtures with machine learning models by Amir Hossein Sheikhshoaei, Ali Sanati

“…Graphical and statistical analyses revealed that the RF model offered the lowest error for viscosity prediction of pure ILs, while CatBoost performed the best for IL mixtures. …”
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TRI-POSE-Net: Adaptive 3D human pose estimation through selective kernel networks and self-supervision with trifocal tensors. by Nabeel Ahmed Khan, Aisha Ahmed Alarfaj, Ebtisam Abdullah Alabdulqader, Nuha Zamzami, Muhammad Umer, Nisreen Innab, Tai-Hoon Kim

“…Moreover, the proposed approach was evaluated on the HumanEva-I dataset yielding a Mean-Per-Joint-Position-Error (MPJPE) of 47.6 under self-supervision and an MPJPE of 29.9 under full supervision. …”
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An Energy-Function-Based Approach for Power System Inertia Assessment by Shizheng Wang, Zhenglong Sun

“…This research deepens the understanding of inertial dynamics and contributes to practical applications in grid stability analysis and control strategy optimalization.…”
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Biased expectations about future choice options predict sequential economic decisions by Didrika S. van de Wouw, Ryan T. McKay, Nicholas Furl

“…Understanding the causes of decision error could enhance how we conduct real world sequential searches for options, for example how online shopping or dating applications present options to users.…”
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Real-Time Data-Driven Method for Bolt Defect Detection and Size Measurement in Industrial Production by Jinlong Yang, Chul-Hee Lee

“…In the dynamic and variable context of industrial applications, the system can be optimized and adjusted according to specific production environments and requirements, further enhancing the accuracy of defect detection and size measurement tasks.…”
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Research on performance analysis methods of pitch bearings based on nonlinear springs by SHEN Huipeng, LI Hangyu, ZHANG Tianyu, QIU Jun, FAN Jiashuang

“…ObjectiveIn engineering applications, pitch bearings contain hundreds of pairs of nonlinear contact between rolling elements and raceways, the force condition is complicated, and the complete solid model analysis is difficult. …”
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Fuzzy C-Means and Explainable AI for Quantum Entanglement Classification and Noise Analysis by Gabriel Marín Díaz

“…The results have practical implications in quantum error correction, quantum cryptography, and the optimization of quantum technologies under realistic conditions.…”
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Fine-Tuned Visual Transformer Masked Autoencoder Applied for Anomaly Detection in Satellite Images by Jakub Gajda, Joanna Kwiecień

“…However, this is not sufficient for the model to be employed in real-life applications. With a given level of precision, the model requires additional knowledge about the subject to correctly classify the sample. …”
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Testing an optimally weighted combination of common and/or rare variants with multiple traits. by Zhenchuan Wang, Qiuying Sha, Shurong Fang, Kui Zhang, Shuanglin Zhang

“…Our results showed that, in all of the simulation scenarios, TOWmuT has correct type I error rates and is consistently more powerful than the other five tests. …”
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Comparison of Fully Convolutional Networks and U-Net for Optic Disc and Optic Cup Segmentation by Jin Zixiao

“…However, FCNs have a shorter inference time of 0. 0043 seconds against U-net’s 0. 0062 seconds making FCNs more suitable for real-time applications. The restrictions related to this study include biases from using only one dataset acquired from particular imaging devices, dependency on mask-based cropping techniques, and comparison being restricted to two fundamental architectures. …”
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Urban ecosystem quality assessment based on the improved remote sensing ecological index by Guolin Zhang, Honghai Kuang

“…It exhibited three advantages: stronger correlation with the ecological index (EI), standard deviation values closer to EI’s baseline, and lower root mean square error. The applicability of the DRSEI and RSEI varied across different regions: the DRSEI proved to be more suitable for highly urbanized areas, whereas the RSEI performed better in suburban regions. …”
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Research on Multi-peak MPPT of Photovoltaic Array Based on Improved ICA Algorithm by ZANG Xiaodi, LIU Lu

“…To solve the problem that the global extreme value tracking of photovoltaic array under multi-peak is easy to fall into local optimization, this paper proposes a multi-peak maximum power point tracking (MPPT) scheme of photovoltaic array based on an improved imperialist competitive algorithm (ICA) by exploring the applicability of standard ICA in the MPPT of photovoltaic array under local shadow. …”
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Approximate Dilogarithm Representation of One Variational Boundary Value Problem Solution for Circle under the Neumann Boundary Condition by I. N. Meleshko, P. G. Lasy

“…The approximate formula is effective in the sense that it is quite simple in numerical implementation, stable, and the error estimation, which is  uniform over a circle, allows calculations with the given accuracy. …”
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Experimental Study on the Boiling Heat Transfer Characteristics in Micro-channel with Two Different Working Medium by Chen Yumin, Liu Dongyao

“…It proves that the heat transfer correlation has good applicability of predicting the boiling heat transfer coefficient in micro-channels.…”
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Deep Neural Network for Supervised Single-Channel Speech Enhancement by Nasir SALEEM, Muhammad IRFAN KHATTAK, Muhammad Yousaf ALI, Muhammad SHAFI

“…Speech enhancement is fundamental for various real time speech applications and it is a challenging task in the case of a single channel because practically only one data channel is available. …”
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Optimal Combination of Currency Assets and Algorithm Simulation under Exchange Rate Risk by Jun Wei

“…Through cointegration analysis and the vector error correction model (VECM model), the correctness and applicability of the established money demand model are verified, and money demand, total social wealth, spreads between expected stock returns and interest rates, and real estate expectations are found. …”
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