VNA in MF, HF and VHF bands by Brian Maximiliano Gluzman, Ramiro Avalos Ribas, Alejandro José Uriz, Juan Alberto Etcheverry, Leonardo David Vazquez, Jorge Castiñeira Moreira

“…This paper proposes the design and implementation of a vector network analyzer for frequencies up to 300 MHz. …”
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Study on Height Measurement for Polyethylene Terephthalate (PET) Materials Based on Residual Networks by Chongwei Liao, Weixin Zhang, Yujie Peng, Changjun Liu

“…In industrial production, high-power microwaves are commonly used for heating and drying processes; however, their application in measurement is relatively limited. …”
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Calculation of Transient Stability Limit Based on Convolutional Neural Network by Qihe LOU, Rongsheng LI, Jie TAN, Tiejiang YUAN

“…Then certain key features of the transmission interface are selected as the input layer vector of the neural network. And next the nonlinear mapping relationship between the key features of the system and the transient stability limit of interface power transmission is constructed after multiple rounds of training processes. …”
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Fatigue Detection of Air Traffic Controllers Through Their Eye Movements by Yi Hu, Haoran Shen, Hui Pan, Wenbin Wei

“…By observing eye movements among various individuals and environments, researchers have discovered correlations with multiple physiological metrics and cognitive processing abilities. This study involved human-in-the-loop simulations to collect eye movement and fatigue data from air traffic controllers and students. …”
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Venation Skeleton-Based Modeling Plant Leaf Wilting by Shenglian Lu, Chunjiang Zhao, Xinyu Guo

“…The proposed method includes five principal processes. Firstly, a three-dimensional leaf skeleton is constructed from a leaf image, and the leaf skeleton is further used to generate a detailed mesh for the leaf surface. …”
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RESEARCH ON THE FITTING CLEARANCE BETWEEN FLANGE BORE AND SHAFT CONSIDERING MULTI-ERRORS COUPLING by NI WeiHua, JIANG XiaoHui

“…The mating state between a flange bore and a shaft and the position error for a flange shaft in a bore has an important influence on the assembly accuracy of precision products.In view of the fact that three-dimensional cylindricity was usually ignored in existing researches,a contact method was developed,which was based on equal vector judgment criterion and measured profile data of the parts.It can effectively determine the actual fitting clearance between bore and shaft taking threedimensional cylindricity errors into account.The effects of the cylindricity error and the number of lobes on the fitting clearance were analyzed in detail.The results indicate that the cylindricity error has significant influence on the actual fitting clearance.By the principal of error composition and neutralization,the actual fitting clearance between a flange bore and shaft was obtained considering the coupling of dimension errors,three-dimensional cylindricity errors and perpendicular errors.It is effective to preanalyze the position accuracy for a flange shaft in a flange bore.Then it can provide guidance for subsequent assembly processes to increase assembly efficiency and improve assembly accuracy of precision products before they are assembled.…”
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Technological priorities for the development of Russia’s industrial sector in the context of deep digital penetration by O. E. Pudovkina

“…Industry 4.0 dictates certain requirements for the modernisation of processes and production facilities. This is especially true for industry, which has a relatively high share of the country’s gross domestic product The outline of the future strategic development of the industry sector in an environment of external change is therefore of particular relevance. …”
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Recombinant cyclin B-Cdk1-Suc1 capable of multi-site mitotic phosphorylation in vitro. by Keishi Shintomi, Yuki Masahara-Negishi, Masami Shima, Shoji Tane, Tatsuya Hirano

“…Here we develop an easy-to-use protocol to express recombinant vertebrate cyclin B and Cdk1 in insect cells from a single baculovirus vector and to purify their complexes with excellent homogeneity. …”
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A comparative study of wavelet families for schizophrenia detection by E. Sathiya, T. D. Rao, T. Sunil Kumar

“…The computed feature vector is then fed into a classifier to distinguish between SZ and healthy controls (HC). …”
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A Machine Learning Approach to Credit Card Transaction Fraud Prediction by Liu Zixuan

“…By conducting data processing techniques such as feature scaling and dataset balancing, the model shows an effective identification of fraudulent transactions that rarely exist in a vast number of legitimate transactions. …”
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The consolidation of fractures of the distal metaepiphysis of the radial bone in patients with diabetes mellitus: problems and solution approaches by Polina A. Tebeneva, Anastasia A. Makulova

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Providing Surround Sound with Loudspeakers: A Synopsis of Current Methods by Jens BLAUERT, Rudolf RABENSTEIN

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Ni-Doped Cu10%/YIG Nanoparticle-Based Metamaterials: Synthesis and Electromagnetic Property Investigation at Terahertz Frequencies by Ali Bahari, Fatemeh Delkhosh, Reza Gholipur

“…UV spectroscopy verified that the electronic structure and optical properties of the samples matched predicted characteristics Measurements of dielectric permittivity and magnetic permeability were conducted at room temperature using scattering parameters from a Vector Network Analyzer (VNA) and processed through MATLAB software. …”
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Predicting per capita expenditure using satellite imagery and transfer learning: A case study of east Java province, Indonesia by Heri Kuswanto, Wahidatul Wardah Al Maulidiyah, Widhianingsih Tintrim Dwi Ary, Yudistira Ashadi

“…The satellite images are processed using a transfer learning approach that employs a pretrained Convolutional Neural Network (CNN) model with VGG-16 architecture as a feature extractor. …”
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DDoS attack detection and defense based on hybrid deep learning model in SDN by Chuanhuang LI, Yan WU, Zhengzhe QIAN, Zhengjun SUN, Weiming WANG

“…Software defined network (SDN) is a new kind of network technology,and the security problems are the hot topics in SDN field,such as SDN control channel security,forged service deployment and external distributed denial of service (DDoS) attacks.Aiming at DDoS attack problem of security in SDN,a DDoS attack detection method called DCNN-DSAE based on deep learning hybrid model in SDN was proposed.In this method,when a deep learning model was constructed,the input feature included 21 different types of fields extracted from the data plane and 5 extra self-designed features of distinguishing flow types.The experimental results show that the method has high accuracy,it’s better than the traditional support vector machine (SVM) and deep neural network (DNN) and other machine learning methods.At the same time,the proposed method can also shorten the processing time of classification detection.The detection model is deployed in SDN controller,and the new security policy is sent to the OpenFlow switch to achieve the defense against specific DDoS attack.…”
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Synoptic-Scale Precursors to Tropical Cyclone Rapid Intensification in the Atlantic Basin by Alexandria Grimes, Andrew E. Mercer

“…Forecasting rapid intensification (hereafter referred to as RI) of tropical cyclones in the Atlantic Basin is still a challenge due to a limited understanding of the meteorological processes that are necessary for predicting RI. To address this challenge, this study considered large-scale processes as RI indicators within tropical cyclone environments. …”
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Research Progress in the Screening of Antimicrobial Substances Based on Machine Learning by HOU Jiangxia, JIANG Jinhui, WANG Chenxin, WANG Lan, SHI Liu, WU Wenjin, GUO Xiaojia, CHEN Sheng, CHEN Lang, CAO Feng, SUN Li, ZHOU Zhi

“…This paper reviews commonly used machine learning models, such as random forests, support vector machines, and deep learning, in antimicrobial activity screening. …”
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Barr-Zee diagrams at a high-energy muon collider by Samuel Homiller, Jackie Lodman, Aditya Parikh, Matthew Reece

“…In this work, we explore this complementarity between colliders and EDM experiments, and note that Barr-Zee diagrams from the aforementioned particles are closely related to vector-boson scattering processes at a muon collider. …”
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Uncovering latent biological function associations through gene set embeddings by Yuhang Huang, Fan Zhong, Lei Liu

“…By embedding both human and mouse data into a shared vector space, we validate our findings cross-species, further strengthening the robustness of our method. …”
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SYNTHESIS OF THE TECHNICAL CONTROL SYSTEMS WITH VARIABLE STRUCTURE by I. V. Prokopyev

“…The conclusion is drawn that in case of preliminary processing of the available prior data it is possible to select reference functions correctly which reflect physical processes more precisely. …”
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