Improved genome editing in human cell lines using the CRISPR method. by Ivan M Munoz, Piotr Szyniarowski, Rachel Toth, John Rouse, Christophe Lachaud

“…In this study we describe a range of refinements of the method, including stable cell lines expressing Cas9, and a PCR based protocol for the generation of the sgRNA. …”
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Design and Realization of a Modeling Method in Security Analysis of Signal System by WU Weiping, HU Jian, LI Pengdong

“…Since the existing finite automaton could not solve above problems, a hybrid modeling method for signal system security analysis was designed. …”
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TDQE：a quality evaluation method for text data in deep learning by LUO Chunxu, XIONG Haixu, YE Yazhen, DING Yan, ZONG Shize, XIONG Yun, ZHU Yangyong

“…Text data quality is an important factor affecting the performance of language models. and its evaluation methodology is considered decisive for model training effectiveness. To address the issues of high computational costs and incomplete evaluation metrics in existing text data quality assessment methods, a deep learning-oriented text data quality evaluation (TDQE) method was proposed. …”
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Network traffic anomaly detection method based on multi-scale characteristic by Xueyuan DUAN, Yu FU, Kun WANG, Taotao LIU, Bin LI

“…Aiming at the problem that most of the traditional network traffic anomaly detection methods only pay attention to the fine-grained features of traffic data, and make insufficient use of multi-scale feature information, which may lead to low accuracy of anomaly detection results, a network traffic anomaly detection method based on multi-scale features was proposed.The original traffic was divided into sub-sequences with multiple observation spans by using multiple sliding windows of different scales, and the multi-level sequences of each sub-sequence were reconstructed by wavelet transform technology.Multi-level reconstructed sequences were generated by Chain SAE through feature space mapping, and a preliminary judgment of abnormality was made by the classifiers of each level according to the errors of the reconstructed sequences.The weighted voting strategy was adopted to summarize the preliminary judgment results of each level to form the final result judgment.Experimental results show that the proposed method can effectively mine the multi-scale feature information of network traffic, and the detection performance of abnormal traffic is obviously improved compared with traditional methods.…”
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Data-Driven Method for Probabilistic Response Prediction of Cable-Stayed Bridges by Minsun Kim, Jaebeom Lee, Kyoung-Chan Lee, Jeong Hwan Jang, Young-Joo Lee

“…This study proposes a data-driven method for predicting the probabilistic response of cable-stayed bridges. …”
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Adaptive access-point and channel selection method using Markov approximation by Tomotaka Kimura, Kouji Hirata, Masahiro Muraguchi

“…Simulation experiments demonstrate the effectiveness of the proposed method.…”
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ROLLING BEARING WEAK FAULT FEATURE EXTRACTION METHOD WITH ALIF⁃NLM by WANG Ying, SONG YuBo, ZHU DaPeng

“…Aiming at the problem that the early weak fault feature was difficult to extract of rolling bearing under the strong noise background,combined with the advantages of adaptive local iterative filter(ALIF)and non⁃local means(NLM)method,an ALIF⁃NLM bearing weak fault feature extraction method was proposed.Firstly,a weighted kurtosis⁃energy ratio criterion was constructed to filter the intrinsic mode function(IMF)components of the ALIF decomposition and reconstruct the signal.Secondly,the minimum energy entropy⁃kurtosis ratio index was constructed by combining the sensitivity of kurtosis to the impact signal with the evaluation performance of energy entropy to the uniformity and complexity of signal energy distribution,and using this index as the fitness function,the adaptive selection of parameter combinations in NLM method was realized by particle swarm optimization(PSO)algorithm.Finally,the fault feature of the reconstructed signal was extracted with the adaptive NLM.The simulation and experimental results show that this method can effectively extract the weak fault feature information of rolling bearing under the strong noise background.…”
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A Nonlinear Self-recognition Self-calibration Kalman Filtering Method by FU Huimin, YANG Haifeng, WEN Xinlei

“…Firstly, the proposed method can automatically identify unknown inputs in nonlinear state equations, and then estimate and compensate their influence when there are unknown inputs, which can not only effectively eliminate the influence of systematic errors in state equations, but also reduce the random errors through the fusion of state equations and measurement equations, improving the filtering accuracy. …”
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COMPARISON OF CENTROID METHOD AND TREE STANDARD FORMULA FOR ESTIMATION LOG VOLUME by Mohammed Al-allaf

“…Centroid method with three of the traditional methods used to estimate the volume of logs (Newton`s, Smalien`s, Huber`s) and four species Eucalyptus, Platanus, Cypress and Pine. …”
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Homotopy Analysis Method for Three Types of Fractional Partial Differential Equations by Haidong Qu, Zihang She, Xuan Liu

“…Finally, we draw the computer graphics of the exact solutions, the approximate solutions (truncation of finite terms), and absolute errors in the limited area, which show that the effectiveness of the homotopy analysis method for solving fractional order partial differential equations.…”
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An improved combined method of creating control forces and moments for an unmanned aerialvehicle by A. V. Lopuhov

“…improved combined (aerodynamic and gas-dynamic) method of creating control forces and moments.The objectives of the study are to analyze the basic model of the combined control method and the possibility of using an improved model of the combined control method, at which the invariability of the mass and dimensional characteristics of the upgraded control object will be achieved with a simultaneous increase in the target quality (reduction of the final miss).Research is based on the use of an improved method for creating control forces and moments, where the optimization of mass characteristics is made, for using of a smaller number of micropulse motors (only at the stages of acceleration and braking), and when setting the balancing position (maintaining a steady angle of attack), instead of impulse engines, a steering drive is used standard onboard stabilization system of an unmanned aerial vehicle aerodynamic control channel. …”
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An intrusion detection method based on depthwise separable convolution and attention mechanism by Zhifei ZHANG, Feng LIU, Yiyang GE, Shuo LI, Yu ZHANG, Ke XIONG

“…In order to improve the accuracy of multi-classification in network intrusion detection, an intrusion detection method was proposed based on depthwise separable convolution and attention mechanism.By constructing a cascade structure combining depthwise separable convolution and long-term and short-term memory networks, the spatial and temporal features of network traffic data can be better extracted.A mixed-domain attention mechanism was introduced to enhance the detection performance.To solve the problem of low detection rate in some samples, a data balance strategy based on the combination of the variational auto-encoder (VAE) the generative adversarial network (GAN) and was designed, which can effectively cope with imbalanced datasets and improve the adaptability of the proposed detection method.The experimental results show that the proposed method is able to achieve 99.80%, 99.32%, and 83.87% accuracy on the CICIDS-2017, NSL-KDD and UNSW-NB15 datasets, which is improved by 0.6%, 0.5%, and 2.3%, respectively.…”
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A Hybrid Lightning Search Algorithm-Simplex Method for Global Optimization by Yuting Lu, Yongquan Zhou, Xiuli Wu

“…In this paper, a novel hybrid lightning search algorithm-simplex method (LSA-SM) is proposed to solve the shortcomings of lightning search algorithm (LSA) premature convergence and low computational accuracy and it is applied to function optimization and constrained engineering design optimization problems. …”
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A non-line-of-sight error mitigation method for location estimation by Chien-Sheng Chen

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Unveiling the Efficiency of the Moment Distribution Method: A Geometric Series Perspective by Mahdi Nouri

“…Ultimately, our objective is to present concise, closed-form mathematical solutions that showcase the practical effectiveness of this method in various applications within the field of structural engineering.…”
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Multi-camera video collaborative analysis method based on edge computing by Zhibo QI, Lei DU, Ru HUO, Fan YANG, Tao HUANG

“…In order to reduce the processing volume of multi-camera real-time video data in smart city scenarios, a video collaborative analysis method based on machine learning algorithms at the edge was proposed.Firstly, for the important objects detected by each camera, different key windows were designed to filter the region of interest (RoI) in the video, reduce the video data volume and extract its features.Then, based on the extracted data features, the same objects in the videos from different cameras were annotated, and a strategy for calculating the association degree value between cameras was designed for further reducing the video data volume.Finally, the GC-ReID algorithm based on graph convolutional network (GCN) and re-identification (ReID) was proposed, aiming at achieving the collaborative analysis of multi-camera videos.The experimental results show that proposed method can effectively reduce the system latency and improve the video compression rate while ensuring the high accuracy, compared with the existing video analysis methods.…”
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A Novel Efficient Method for Extraction and Purification of Recombinant Phenylalanine Dehydrogenase

“…Growing applications of phenylalanine dehydrogenase (PheDH) enzyme in the medical and pharmaceutical industries encourages researchers to seek simple, fast and economical alternative purification methods. With goal of finding a new technique, the extraction and purification of recombinant Bacillus badius PheDH in polyethylene glycol 6000 (PEG-6000) and ammonium sulfate aqueous two-phase systems (ATPS) was studied. …”
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Constructing segmentation method for wheat powdery mildew using deep learning by Hecang Zang, Hecang Zang, Congsheng Wang, Qing Zhao, Qing Zhao, Jie Zhang, Jie Zhang, Junmei Wang, Guoqing Zheng, Guoqing Zheng, Guoqiang Li, Guoqiang Li

“…Compared with other mainstream deep learning methods U-Net, PSPNet, DeepLabV3+, and Swin-Unet, the proposed RSE Swin-Unet method can detect wheat powdery mildew and stripe rust image in a challenging situation and has good computer vision processing and performance evaluation effects. …”
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Truncated separation method for characterizing and reconstructing bi-Gaussian stratified surfaces by Songtao Hu, Weifeng Huang, Noel Brunetiere, Xiangfeng Liu, Yuming Wang

“…In the present study, because of the significant effect of the plateau component on tribological behavior such as asperity contact, wear and friction, a truncated separation method is proposed based on the truncation of the upper Gaussian component defined by zero skewness. …”
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A Method of Online Shopping Risk Assessment Based on RNN-DBN by QU Yuan-yuan, GONG Li-ying, HE Wei

“…The simulation results show that the proposed method can effectively solve the problem of transaction risk assessment, and at the same time, it has higher accuracy compared with the traditional method, and the evaluation result is more scientific.…”
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