Crystallization kinetics of GdYScAlCo high-entropy bulk metallic glass by V. A. Bykov, D. A. Kovalenko, E. V. Sterkhov, T. V. Kulikova

“…The kinetic parameters (activation energy (Eα)), the pre-exponential factor (logA) and glass-forming ability indicators (kinetic fragility index, characteristic temperatures) for the GdYScAlCo alloy were obtained. …”
Get full text

Spectral solutions for QS with distribution laws in the form of probabilistic mixtures by Veniamin N. Tarasov, Nadezhda F. Bakhareva

Get full text

AHP in nonlinear scaling: from two-envelope problem to modeling by predictors by Stan Lipovetsky

“…Abstract Paper aims Extending the AHP abilities to new areas from explaining the famous Two-Envelope paradox to finding priorities as functions of auxiliary variables is suggested. …”
Get full text

An EfficientNetv2-based method for coal conveyor belt foreign object detection by Tao Hu, Deyu Zhuang, Jinbo Qiu

“…Since MBConv and Fused-MBConv structures in EfficientNetv2 employ information compression and fusion strategies, which may lead to the loss of important information and affect the integrity of feature extraction, a hard shuffle attention (Hard-SA) mechanism is utilized to enhance the focus on important features and improve the representation ability of coal conveyor belts image features. To address the potential gradient disappearance issue during the backpropagation process of the network, an elastic exponential linear unit (EELU) activation function is introduced. …”
Get full text

Computational insights into silver oxide nanoparticles on flow and Cattaneo-Christov heat flux through a Koo and Kleinstreuer model: A heat transfer application by Huda Alfannakh, Basma Souayeh, Suvanjan Bhattacharyya, Devendra Kumar Vishwakarma

“…Abstract The special features of silver-capped iron nanoparticles, like their excellent ability to conduct heat, adjustable magnetism, and resistance to rust, make them highly sought after for industrial heat transfer uses. …”
Get full text

Control chart-integrated machine learning models for incipient fault detection in wind turbine main bearing by Samuel M. Gbashi, Obafemi O. Olatunji, Paul A. Adedeji, Nkosinathi Madushele

“…Furthermore, EWMA-IF achieved a higher True Positive Rate of 79.8% compared to 59.94% for EWMA-OCSVM, indicating a better ability to correctly identify abnormal observations. …”
Get full text

Improving deep convolutional neural networks with mixed maxout units by Hui-zhen ZHAO, Fu-xian LIU, Long-yue LI, Chang LUO

“…The maxout units have the problem of not delivering non-max features， resulting in the insufficient of pooling operation over a subspace that is composed of several linear feature mappings,when they are applied in deep convolutional neural networks.The mixed maxout (mixout) units were proposed to deal with this constrain.Firstly,the exponential probability of the feature mappings getting from different linear transformations was computed.Then,the averaging of a subspace of different feature mappings by the exponential probability was computed.Finally,the output was randomly sampled from the max feature and the mean value by the Bernoulli distribution,leading to the better utilizing of model averaging ability of dropout.The simple models and network in network models was built to evaluate the performance of mixout units.The results show that mixout units based models have better performance.…”
Get full text

An accurate semi-empirical model for PMT pulse signal analysis. by Shuo Li, Xudong Lyu, Fei Wang, Chao Sun

“…This study analyzes a substantial dataset of pulse signals, comparing the performance of the newly designed mathematical model with that of the double exponential function in terms of their ability to fit pulse signals. …”
Get full text

Effect of Friction Model and Tire Maneuvering on Tire-Pavement Contact Stress by Haichao Zhou, Guolin Wang, Yangmin Ding, Jian Yang, Chen Liang, Jing Fu

“…The result shows that the exponential decay friction model used for evaluating braking ability meets design requirements of antilock braking system (ABS). …”
Get full text

Limits on the computational expressivity of non-equilibrium biophysical processes by Carlos Floyd, Aaron R. Dinner, Arvind Murugan, Suriyanarayanan Vaikuntanathan

“…Analogous to how increasing depth enhances the expressivity and classification ability of neural networks, our work demonstrates how tuning input multiplicity can potentially enable an exponential increase in a biological system’s ability to classify and process information.…”
Get full text

Novel Condition Monitoring Method for Wind Turbines Based on the Adaptive Multivariate Control Charts and SCADA Data by Qinkai Han, Zhentang Wang, Tao Hu

“…Two types of control charts are adopted: one is the adaptive exponential weighted moving average (AEWMA) control chart for abnormal state detection, and the other is the multivariate exponential weighted moving average (MEWMA) control chart for anomaly location determination. …”
Get full text

Research on Railway Passenger Volume Forecast Based on the Spline Interpolation and IPSO-Gradient Difference Acceleration Rule by Dingyuan Fan, Fei Yang, Jinghao Ji, Zexi Zhang

“…Finally, taking Beijing as the research object, the Holt exponential smoothing method and the BP neural network are selected to verify the effect of spline interpolation and IPSO-gradient difference acceleration law on prediction accuracy. …”
Get full text

Adaptive Fractional-Order Nonsingular Fast Terminal Sliding Mode Control for Manipulators by Xin Zhang, Ran Shi

“…Secondly, in view of the problems of large chattering and slow convergence speed in the reaching stage, this paper designs a variable exponential power-reaching law (VEPRL), which has the ability to change the exponential coefficients according to the system state adaptively. …”
Get full text

Statistical modelling and forecasting of HIV and anti-retroviral therapy cases by time-series and machine learning models by Abdullah M. Almarashi

“…Abstract HIV (Human Immunodeficiency Virus) is a virus that causes the immune system to be damaged, thereby reducing the body’s ability to defend against infections and illnesses. …”
Get full text

Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data by Farhan Amir Fardush Sham, Ahmed El-Shafie, Wan Zurina Binti Wan Jaafar, S. Adarsh, Mohsen Sherif, Ali Najah Ahmed

“…For the 3-day forecasting interval, Exponential Gaussian Process Regression (Exponential GPR) marginally outperformed Long Short-Term Memory (LSTM), with Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE) values of 15.84, 547.04, and 23.39, respectively. …”
Get full text

Perturbation-induced nonreciprocal transmission in nonlinear parity-time-symmetric silicon micromechanical resonators by Rui Wang, Lei Han, Man-Na Zhang, Li-Feng Wang, Qing-An Huang

“…In our approach, PT-symmetry breaking due to external perturbations to the loss resonator results in exponential growth and decay modes. The presence of the nonlinear gain suppresses the exponential growth mode. …”
Get full text

Transference kinetics of radioactive nuclide zirconium-95 in broadbean-soil system by ZHAO xi-yue, SHI jian-jun, WANG shou-xiang, CHEN chuan-qun

“…The concentrations of ⁹⁵Zr in different parts of broadbean plant arranged in order was root > straw > husk > seed. ②Most of ⁹⁵Zr detained in 6cm upon layer of the soil, and its concentration was single term exponential negative relation with depth of soil. ③The dynamics of ⁹⁵Zr in broadbean-soil system could be described using multinomial exponential. ④Broadbean plant has the ability of enriching with ⁹⁵Zr from soil to some extend.…”
Get full text

Application of Improved Sage-Husa Algorithm in SINS/GPS Integrated Navigation by WEN Sheng, LIU Caiyun, LUAN Tiantian, SUN Mingxiao

“…Firstly, on the basis of the Sage-Husa adaptive filtering algorithm, the statistical characteristics of noise are estimated by the weighted estimation method of exponential fading memory to improve the adaptive ability of the algorithm. …”
Get full text

Strong Stability of the Thermoelastic Bresse System with Second Sound and Fractional Delay by Khaled Zennir, Loay Alkhalifa

“…Additionally, we derive an exponential decay estimate for the associated semi-group utilizing suitable multiplier techniques.…”
Get full text

Improving authenticity and provenance in digital biomarkers: the case for digital watermarking by Arjun Mahajan, Dylan Powell

“…Enabled by the rapid rise in data collected by technologies, Digital Biomarkers (DBx) have emerged as a novel mechanism for assessment, diagnosis, and monitoring. However, the exponential growth and ability to generate new data has also raised questions about ways of ensuring the authenticity and accuracy of digital data. …”
Get full text