Optimal Driving Torque Control Strategy for Front and Rear Independently Driven Electric Vehicles Based on Online Real-Time Model Predictive Control by Hang Yin, Chao Ma, Haifeng Wang, Zhihao Sun, Kun Yang

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Mathematics in the streets and in schools by Pouya Karimi, Abolfazl Rafiepour

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Early stage prediction of bone regeneration using FEA and cell differentiation algorithms with 3D-printed PLA and PCL scaffolds: modeling and application to dorsal double-plating in distal radius fractures by Hsuan Chih Liu, Ya-Han Chan, Shao-Fu Huang, Wei-Che Tsai, Yen Cheng, Chun-Li Lin

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Suppression of Ferroresonance in Switch Gears with Voltage Transformer and Reduction of Cumulative Overvoltages by Y. V. Dmitriyev, A. M. Hashimov, I. R. Pivchik, S. I. Hasanova

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Comparative Study on Total Organic Carbon Content Logging Prediction Method Based on Machine Learning by TANG Shengshou, YANG Bin, JIN Jiulong, LIU Hongrui, DAI Xingyu, PU Jincheng

“…There are many influencing factors and difficulty in the prediction of total organic carbon content, so it is particularly important to explore the most suitable high-precision prediction method for the prediction of total organic carbon content in this area. …”
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Research on the prediction of blasting fragmentation in open-pit coal mines based on KPCA-BAS-BP by Shuang Liu, Enxiang Qu, Chun LV, Xueyuan Zhang

“…Compared with the unoptimized BP neural network and the BP neural network optimized by the artificial bee colony algorithm (ABC) model, this model has higher prediction accuracy and is more suitable for predicting the blasting block size of open-pit coal mines, it provides a new method for predicting the fragmentation of blasting under the influence of multiple factors, filling the gap in related theoretical research, and has certain practical application value.…”
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Reflection Reduction on DDR3 High-Speed Bus by Improved PSO by Huiyong Li, Hongxu Jiang, Bo Li, Miyi Duan

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T‐depth reduction method for efficient SHA‐256 quantum circuit construction by Jongheon Lee, Sokjoon Lee, You‐Seok Lee, Dooho Choi

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A Comparative Evaluation of Machine Learning Methods for Predicting Student Outcomes in Coding Courses by Zakaria Soufiane Hafdi, Said El Kafhali

“…Our results highlight the long short-term memory (LSTM) algorithm’s robustness achieving the highest accuracy of 94% and an F1-score of 0.87 along with a support vector machine (SVM), indicating high efficacy in predicting student success at the onset of learning coding. …”
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Dimensionality reduction in kernel-based identification of Wiener system by cyclostationary excitations by Gabriel Maik, Grzegorz Mzyk

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Noise reduction application of indoor substation based on improved acoustic BEM by Tianwen Peng, Siyu Liu, Hairuo Jin

“…Abstract Accurate calculation of noise field distribution of indoor substation is the key to noise reduction application. In this paper, the accuracy of the improved acoustic BEM numerical algorithm is verified by comparing the noise field data measured in the experiment of 110 kV indoor substation in Changsha, Hunan Province with the calculated data obtained by the improved acoustic BEM solution. …”
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Multifeatures Fusion and Nonlinear Dimension Reduction for Intelligent Bearing Condition Monitoring by Liang Guo, Hongli Gao, Haifeng Huang, Xiang He, ShiChao Li

“…Then the nonlinear dimension reduction algorithm based on deep learning is proposed to reduce the redundancy information. …”
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AI enhanced diagnostic accuracy and workload reduction in hepatocellular carcinoma screening by Rui-Fang Lu, Chao-Yin She, Dan-Ni He, Mei-Qing Cheng, Ying Wang, Hui Huang, Ya-Dan Lin, Jia-Yi Lv, Si Qin, Ze-Zhi Liu, Zhi-Rong Lu, Wei-Ping Ke, Chao-Qun Li, Han Xiao, Zuo-Feng Xu, Guang-Jian Liu, Hong Yang, Jie Ren, Hai-Bo Wang, Ming-De Lu, Qing-Hua Huang, Li-Da Chen, Wei Wang, Ming Kuang

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A Survey on Reduction of Energy Consumption in Fog Networks—Communications and Computations by Bartosz Kopras, Filip Idzikowski, Hanna Bogucka

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Efficient side lobe level reduction technique for planar antenna arrays by Shimaa M Amer, Ahmed M. Elkhawaga, Ashraf A.M. Khalaf, Amr H. Hussein

“…This paper presents a novel array synthesis technique based on the virtual antenna array (VAA) concept for side lobe level (SLL) reduction of uniform planar antenna arrays (UPAA). …”
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Dimensionality Reduction Optimization of High Subsonic Unmanned Aerial Vehicles Intake by Zeqi QI, Zheng GUO, Suqi CHEN, Ke YU

“…To address the issue of excessive optimization dimensions caused by simultaneously altering both shapes, sensitivity analysis and principal component analysis (PCA) were applied, followed by dimensionality reduction using the Hicks-Henne function. A Kriging model was then used for fitting, and a genetic algorithm was employed to search for optimal solutions with total pressure recovery coefficient and steady-state outlet distortion index as the objectives. …”
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OFDM-NOMA Error Rate Reduction Using Direct Data Detection by Tasneem Assaf, Arafat Al-Dweik, Anshul Pandey, Jean-Pierre Giacalone

“…The computational complexity of <inline-formula> <tex-math notation="LaTeX">$D^{3}$ </tex-math></inline-formula> depends on the sequence length, and a significant complexity reduction is achievable using the Viterbi algorithm.…”
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Hybrid statistical-algorithmic approach using the frog algorithm to optimize blast patterns for reducing blast vibrations by Abbas Khajouei Sirjani, Farhang Sereshki, Mohammad Ataei, Manoj Khandelwal, Hojatollah Mohammadi Anayi, Seyed Mohammad Mehdi Mousavi Nasab, Mohammad Amiri Hosseini

“…This study introduces an innovative approach to predict and mitigate blast-induced vibrations by optimizing blast patterns. …”
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Decision-Making Model for Life Cycle Management of Aircraft Components by Igor Kabashkin, Vitaly Susanin

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A composite photovoltaic power prediction optimization model based on nonlinear meteorological factors analysis and hybrid deep learning framework by Mengji Yang, Haiqing Zhang, Xi Yu, Aicha Sekhari Seklouli, Abdelaziz Bouras, Yacine Ouzrout

Subjects: “…Photovoltaic power prediction…”
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