Impact of GdOx insertion on magnetic anisotropy and damping in double-barrier magnetic stacks by Junyeon Kim, Takayuki Nozaki, Jun Uzuhashi, Shingo Tamaru, Tomohiro Ichinose, Takao Ochiai, Tatsuya Yamamoto, Tadakatsu Ohkubo, Kay Yakushiji, Shinji Yuasa

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Toward an Accurate Liver Disease Prediction Based on Two-Level Ensemble Stacking Model by Marghany Hassan Mohamed, Botheina Hussein Ali, Ahmed Ibrahim Taloba, Ahmad O. Aseeri, Mohamed Abd Elaziz, Shaker El-Sappagah, Nora Mahmoud El-Rashidy

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Emergence of sliding ferroelectricity in naturally parallel-stacked multilayer ReSe2 semiconductor by Wuhong Xue, Peng Wang, Wenjuan Ci, Ying Guo, Jingyuan Qu, Zeting Zeng, Tianqi Liu, Ri He, Shaobo Cheng, Xiaohong Xu

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Dynamic Surrogate Optimization of Vertically Stacked Nanosheet FET Based on Gaussian Process Regression by Christofer N. Yalung, Doldet Tantraviwat

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Development of a flight software framework for student CubeSat missions by Olman D. Quiros-Jimenez, Duncan d’Hemecourt

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THERMOACOUSTIC REFRIGERATOR SYSTEM PERFORMANCE USING THE PVC (POLYVINYL CHLORIDE) STACK BY POWER INPUT VARIATION by Indah Kharismawati

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DSEM-NIDS: Enhanced Network Intrusion Detection System Using Deep Stacking Ensemble Model by Loreen Mahmoud, Madhusanka Liyanage, Jitin Singla, Sugata Gangopadhyay

“…Since the amount of data transfer over the Internet increases every year, using a single model as an IDS to secure the network cannot be considered enough as it may have many problems like high bias or high variance, which lead to high rates of false negatives and false positives. In this article, we propose an ensemble learning-based NIDS (DSEM-NIDS); this system is a deep-stacking model with a nested structure that has the ability to score a high performance with low false positive and low false negative rates. …”
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阻塞Stack-3随机多用户接入算法及其性能研究 by 王健成, 姚庆栋, 戴文琪

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HIGH-TECHNOLOGICAL MODERN EQUIPMENT FOR PRODUCTION OF VERTICAL-STACK MODES IN PRODUCTION OF THE PISTON RINGS CASTINGS by A. P. Melnikov, D. M. Golub, V. V. Fonov, V. D. Bolotski

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AVO analysis for high amplitude anomalies using 2D pre-stack seismic data by Lamees Abdulkareem

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Modeling and simulation for V-shaped stacked graphene nanosheet FETs (GNFETs) for high frequency applications by S. Raj Kumar

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Design and experimental characterization of a 350 W High Temperature PEM fuel cell stack by N. Zuliani

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A stacked ensemble method for forecasting influenza-like illness visit volumes at emergency departments. by Arthur Novaes de Amorim, Rob Deardon, Vineet Saini

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Numerical and Experimental Analysis of Stacking Sequences Effects in Composite Mechanical Joints under Impact Loadings by Pourya Fathi, Alireza Naddaf Oskouei, Khodadad Vahedi, Amin Moslemi Petrudi

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Efficiency maximization of fuel cell electric bus using asymmetric multi-stack fuel cells by The Nam Ngo, Minjae Kim

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Financial News Effect Analysis on Stock Price Prediction Using a Stacked LSTM Model by Alexandre Heidein, Rafael Stubs Parpinelli

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DESIGN AND ANALYSIS OF AN AXIAL FLUX PERMANENT MAGNET GENERATORS WIND TURBINE FOR AUTOMATIC STACKING CRANES by Aisyah Aira Putri Maharani, Muhamad Rizalul Wahid, Mahmudah Salwa Gianti, Tri Seda Mulya, Ari Rahayuningtyas

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Enhancing medical image segmentation through stacked u-net architectures with interconnected convolution layers by Abeer Aljohani

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Enhancing solar irradiance prediction precision: A stacked ensemble learning-based correction paradigm by Bo Tian, Ningbo Wang, Yuanxin Lin, Shuangquan Shao

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A stacked ensemble approach with resampling techniques for highly effective fraud detection in imbalanced datasets by Idongesit E. Eteng, Udeze L. Chinedu, Ayei E. Ibor

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