Internet of things data security and privacy protection based on improved federated learning by Wang Gang

“…To ensure the security of IoT data and user privacy in various scenarios, the federated learning (FL) method is optimized based on function encryption and blockchain. …”
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Numerical Analysis of Multiple Factors Affecting Hydraulic Fracturing in Heterogeneous Reservoirs Using a Coupled Hydraulic-Mechanical-Damage Model by Tao Xu, Mingyang Zhai, Bo Huang, Liaoyuan Zhang, Aishan Li, Quansheng Zhang, Zilin Zhang, Lei Wang, Lianchong Li

“…The multifactor analysis and optimization workflow introduced in this work was a practical and effective method to control the HF geometry and improve the SRV. …”
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Long Short Term Memory Using Stochastic Gradient Descent and Adam for Stock Prediction by Muhammad Athanabil Andi Fawazdhia, Zani Anjani Rafsanjani HSM

“…This method is a development of the Recurrent Neural Network (RNN), so this method is more complicated and powerful. …”
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Possible Schemes and Effects in Improving Temperature Uniformity in Indirect Cooling Wine Cabinet by Zeng Xianshun, Zhao Dan, Ding Guoliang, Ding Jianbo, Li Jing

“…A performance test of a 389 L wine cabinet under a set temperature of 8 ℃ shows that the maximum temperature difference can be reduced from 12.6 ℃ to 2.0 ℃ through the optimized scheme at an ambient temperature of 32 ℃. …”
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First-Arrival Constrained Physics-Informed Recurrent Neural Networks for Initial Model-Insensitive Full Waveform Inversion in Vertical Seismic Profiling by Cai Lu, Jijun Liu, Liyuan Qu, Jianbo Gao, Hanpeng Cai, Jiandong Liang

“…Additionally, the spatiotemporal gradient information recorded during the forward propagation of the recurrent neural network was utilized for backpropagation, enabling nonlinear optimization of FWI. This method avoids the local optima caused by waveform mismatches between the observed and synthetic records resulting from inaccurate initial velocity models. …”
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An Interpretable Siamese Attention Res-CNN for Fingerprint Spoofing Detection by Chengsheng Yuan, Zhenyu Xu, Xinting Li, Zhili Zhou, Junhao Huang, Ping Guo

“…Furthermore, to highlight the difference in RCF, a Siamese attention residual network is devised, and the ridge continuity amplification loss function is designed to optimize the training process. …”
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Structure of Spatial Correlation Network and Influencing Factors of Urban-Rural Integration in China by Wang Kai, Liu Meilun, Tan Jiaxin, Gan Chang

“…However, the spatial connection of urban-rural integration did not reach the best level, and there is still much room for improvement. 3) Geospatial proximity, differences in the level of economic development, and urbanization had a significant positive effect on the optimization and evolution of the spatial linkage network of urban-rural integration, while differences in agricultural modernization and differences in advanced industrial structure showed a stage-by-stage effect over time. …”
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Multi-Criteria Decision Analysis in Drug Discovery by Rafał A. Bachorz, Michael S. Lawless, David W. Miller, Jeremy O. Jones

“…For example, Pareto optimizers identify a so-called “Pareto front”, a set of non-dominated solutions. …”
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Monte Carlo Modeling of a High‐Efficiency Tandem Luminescent Solar Concentrator Containing a Polarization Volume Grating Layer by Ramin Zohrabi, Sahar Ehsani‐Tabar, Amir Hosein Esmaeili, Shadi Daghighazar, Kiyanoush Goudarzi

“…In contrast, the second waveguide is equipped with an inner polarization volume grating layer, strategically placed to couple the emitted photons within the escape cone, directing them into the second waveguide and preventing reabsorption. The finite difference time domain method is employed to optimize the performance of this grating. …”
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Evaluation of Transportation Network Reliability under Emergency Based on Reserve Capacity by Xiongfei Zhang, Qi Zhong, Qin Luo

“…The lower level model adopts the combined traffic distribution/assignment model with capacity limits, to describe evacuees’ path and shelter choice behavior under emergency conditions and take into account the traits of crowded traffic. An iterative optimization method is proposed to solve the upper level model, and the lower level model is transformed into a UE assignment problem with capacity limits over a network of multiple origins and single destination, by adding a dummy node and several dummy links in the network. …”
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Android malware detection based on improved random forest by Hong-yu YANG, Jin XU

“…Aiming at the defect of vote principle in random forest algorithm which is incapable of distinguishing the differences between strong classifier and weak classifier,a weighted voting improved method was proposed,and an improved random forest classification (IRFCM) was proposed to detect Android malware on the basis of this method.The IRFCM chose Permission information and Intent information as attribute features from AndroidManifest.xml files and optimized them,then applied the model to classify the final feature vectors.The experimental results in Weka environment show that IRFCM has better classification accuracy and classification efficiency.…”
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A Reporter Gene Assay for Measuring the Biological Activity of PEGylated Recombinant Human Growth Hormone by Shaowang Hu, Xiaoming Zhang, Yi Li, Jing Li, Yingwu Wang, Chenggang Liang

“…Furthermore, we developed an ion exchange chromatography (IEC) method to separate five positional isomers of PEG-rhGH, revealing significant differences in bioactivity depending on the PEG modification site. …”
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Temperature Field of Concrete-Filled Steel Tubular Arch Bridges and Its Application by Qian Zhou, Pengcheng Feng, Jian-Ting Zhou, Shihong Jing, Guohui Zheng, Wuzhao Zhou

“…The optimization method on transverse perfusion sequence and perfusion-time interval considering temperature effect was proposed based on stress influence line, equivalent age theory, and energy method. …”
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渐开线零齿差内齿轮副变位系数确定方法 by 黄恺, 张艳冬

“…The principal and steps are presented about the determination of the modification coefficients of an involutes zero-tooth-difference internal gear mechanism.First of all,the optimization method is applied to determine the values of the modification coefficients;secondly,they are modified according to the machining operation;and then,the results should be checked with a view to their feasibility;finally,some software is used to verify the correctness.The whole design procedures are already used in practice successfully.…”
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A simulation study on strength and fatigue analysis of hydraulic excavator buckets by Wenbin Pan

“…The method provides a new technical means for the design and optimization of hydraulic excavator bucket, which has high application value.…”
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Panel defect detection algorithm based on improved Faster R-CNN by Chen Wanqin, Tang Qingshan, Huang Tao

“…In view of the low precision and low efficiency of panel surface defect detection, this paper proposes an optimized defect detection algorithm based on Faster R-CNN. …”
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Machine learning approach for studying the neural underpinnings of dyslexia on a phonological awareness task by Christoforos Christoforou, Timothy C. Papadopoulos, Maria Theodorou

“…We proposed a novel machine-learning-based approach to extract neural activity from EEG to identify neural differences at the group level. Specifically, we formulated an optimization problem to first extract informative EEG components (termed phoneme-related neural-congruency components) by maximizing the congruency in neural activity among typically developing children during phoneme elision. …”
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Knot staining resistance of wood coatings by Matjaž Pavlič, Jure Vrbec, Jure Žigon, Marko Petrič

“…In doing so, we adapted the method SIST EN 927-7:2020 according to our capabilities, optimized it and critically evaluated whether there is room for improvement of the standardized method. …”
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Research on Adaptive Identification Technology for Rolling Bearing Performance Degradation Based on Vibration–Temperature Fusion by Zhenghui Li, Lixia Ying, Liwei Zhan, Shi Zhuo, Hui Li, Xiaofeng Bai

“…Furthermore, the entropy weight method was employed to quantify the information entropy differences between the vibration and temperature signals, enabling dynamic weight allocation to construct a comprehensive HI. …”
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Robustness Maximization of Parallel Multichannel Systems by Jean-Yves Baudais, Fahad Syed Muhammad, Jean-François Hélard

“…Under peak power constraint the solutions differ and this paper gives bit-loading solutions of both robustness optimization problems over independent parallel channels. …”
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