Abnormal traffic detection method based on LSTM and improved residual neural network optimization by Wengang MA, Yadong ZHANG, Jin GUO

“…Problems such as a difficulty in feature selection and poor generalization ability were prone to occur when traditional method was exploited to detect abnormal network traffic.Therefore, an abnormal traffic detection method based on the long short term memory network (LSTM) and improved residual neural network optimization was proposed.Firstly, the features and attributes of network traffic were analyzed, and the variability of the feature values was reduced by preprocessing of network traffic.Then, a three-layer stacked LSTM network was designed to extract network traffic features of different depths.Moreover, the problem of weak adaptability of feature extraction was solved.Finally, an improved residual neural network with skipping connecting line was designed to optimize the LSTM.The defects of deep neural network such as overfitting and gradient vanishing were optimized.The accuracy of abnormal traffic detection was improved.Experimental results show that the proposed method has higher training accuracy and better visibility of data processing.The classification accuracy rates under two classifications and multiple classifications are 92.3% and 89.3%.It has the lowest false positive rate when the parameters such as precision rate and recall rate are optimal.Moreover, it has strong robustness when the sample is destroyed.Furthermore, better generalization ability can be achieved.…”
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Excel as an electronic method for determining thermal diffusivity from experimental data by Camila Rodrigues Carneiro, Mateus Tomaz Neves, Adamu Muhammad Alhaji, Rita de Cássia Superbi de Sousa

“…Therefore, with this proposed work, the use of electronic spreadsheets, calculated for Excel data processing, from the experimental Microsoft software obtained by the apparatus. …”
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Comparison of physical properties of extemporaneous oral suspension with suspending agent pulvis gummi and xanthan gum using paracetamol as model drug by Widiyastuti Lina, Tsalasani Zulfaidah Nanda, Amani Dinda Wifayatul, Annisa Alifia Nur’

“…This research used an experimental method with descriptive data processing. In the study, six formulas were made to observe the appearance, color, smell and taste, pH value, particle size, and sedimentation volume formed, and the dispersibility of each formula was tested. …”
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Research and Application of the Beijing Road Traffic Prediction System by Ruimin Li, Hongliang Ma, Huapu Lu, Min Guo

“…The logical architecture of the system was presented, including raw data level, data processing and calculation level, and application level. …”
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Peacebuilding education in building religious moderation as a counter radicalism At Ma'had Al-Jami'ah UIN Maulana Malik Ibrahim Malang by Bisri Mustofa, M Amiruddin, Taa’ib Maghfur, Inayatur Rosyidah

“…Anti-corruption education from an Islamic perspective for students is an alternative in eradicating Corruption. integration education anti-Corruption in the Qur'an and Hadith courses is education anti-Corruption merges in Al-Qur'an and Hadith courses through development Theory because of course part the material contain payload score and behavior anti-Corruption, as well as through development learning methods and media. Based on data processing obtained for category moral knowing It was found that the ICP PAI students of UIN Maliki Malang class of 2020 reached 82%. …”
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Denoising Method Based on Spectral Subtraction in Time-Frequency Domain by Lei Hao, Shuai Cao, Pengfei Zhou, Lei Chen, Yi Zhang, Kai Li, Dongdong Xie, Yijun Geng

“…In view of the key problem that a large amount of noise in seismic data can easily induce false anomalies and interpretation errors in seismic exploration, the time-frequency spectrum subtraction (TF-SS) method is adopted into data processing to reduce random noise in seismic data. …”
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STUDY ON LOAD CAPACITY CHARACTERISTICS OF THE FLEXIBLE WHEEL IN RING PRECISION HARMONIC DRIVE by ZHAO ZhiXin, WANG FangCheng, CHEN Chun, LIU ErYue, NIU JianHua, HUANG Lan

“…At last,the deformation and stress distributions law of flexspline in the no-load and load are analyzed by data processing. The results show that the stress distribution of the flexspline has its minor value along the neutral layer of flexspline ring,and the maximum stress is located on the tooth root which mainly is tangential. …”
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Attention Based Energy Demand Forecasting in Smart Grid Environments by Yunus Emre Işıkdemir, Fuat Akal

“…However, the vast amounts of data generated by smart grid technology necessitate the development of advanced data processing and analysis techniques. In this paper, we propose an attention-based time series workflow that combines dilated convolution and attention mechanisms for time series forecasting in smart grid applications. …”
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Enhancing Generalizability of a Machine Learning Model for Infrared Thermographic Defect Detection by Using 3D Numerical Modeling by Vladimir Vavilov, Arsenii Chulkov, Alexey Moskovchenko

“…Third, potentials of some known techniques of thermographic data processing, such as Thermographic Signal Reconstruction, Fast Fourier Transform and Temperature Contrast, are examined. …”
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An Integrated Cumulative Transformation and Feature Fusion Approach for Bearing Degradation Prognostics by Lixiang Duan, Fei Zhao, Jinjiang Wang, Ning Wang, Jiwang Zhang

“…Aimed at degradation prognostics of a rolling bearing, this paper proposed a novel cumulative transformation algorithm for data processing and a feature fusion technique for bearing degradation assessment. …”
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The Influence Of Green Accounting, Financial Performance, And Company Size On Financial Sustainability by Tasha Asprilla Pramastha, Liliek Nur Sulistiyowati

“…This research uses samples taken using a purposive sampling method and obtained 46 companies as samples and multiple linear regression analysis tools with data processing using SPSS version 20. The results of this research show that ROE has a positive and significant effect on financial sustainability, ESG and ROA have a significant negative effect on financial sustainability. …”
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AI-Powered Sustainable Environmental Practices using Laser-Induced Breakdown Spectroscopy (LIBS) by Al-Juboori Haider, Rizvi Syed Zuhaib H., bin Roslan Muhammad S., Liew Josephine Y.

“…The research will focus on designing an innovative system architecture that integrates laser-induced breakdown spectroscopy (LIBS) with a robust machine learning (ML) framework, significantly advancing sustainable environmental practices, especially since LIBS offers rapid and precise multi-elemental analysis, while AI enhances data processing and predictive capabilities. As technological innovations advance, the integration of the suggested LIBS system and advanced AI will be pivotal in addressing environmental challenges and promoting sustainability. …”
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Why IoT Enablement of Agrifood Transportation Disappoints Its Stakeholders: Unravelling Barriers for Enhanced Logistics by Deepika Joshi, Sumit Gupta, Amit Vishwakarma, Sandeep Jagtap

“…They are responsible for creating issues like data processing, vehicle tracking, and data privacy. This study offers a contextual phenomenon of barriers that may assist AgriTech stakeholders in developing appropriate strategies to embrace IoT transformation. …”
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A Static State Estimation Scheme in Microgrid Utilizing μPMU Measurements by Kunal Kumar, Prince Kumar, Susmita Kar, Aashish Kumar Bohre, Samuel Amde Gebereselassie

“…The developed IFSSE scheme is iteration-free due to the implementation LMM that is achieved from placing the microphasor measurement units (μPMUs) and separate bad data processing (BDP) is not required for this proposed scheme. …”
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Research on Wheel-Rail Local Impact Identification Based on Axle Box Acceleration by Yuanjin Ji, Junwei Zeng, Wenjing Sun

“…After weighted reconstruction using denoised high-frequency components and low-frequency information components, data processing was finally optimized via HHT. Taking a tramcar as an example, the Hilbert spectra of the vertical acceleration of axle box were plotted via HHT, and the time-instantaneous, frequency-instantaneous energy 3D relations were obtained for the location of impact points. …”
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ENHANCING STUDENTS PROBLEM SOLVING CAPABILITY WITH ELECTRONIC STUDENT WORKSHEET BASED ON PROBLEM BASED LEARNING by Putu Victoria Maria Risamasu, Jan Pieter

“…Data analysis was carried out using quantitative data analysis. the results of data processing show that the electronic student worksheet based on problem based learning that was developed is suitable for use in physics learning, expert validators provide validation results of 92,64% (very good category), while the average validation results by practitioners is 96.60% (very good category); the percentage increase in n-gain in the problem solving ability of the experimental group that used electronic student worksheet was 0.73 in the high category, while the control group that used conventional lkpd was 0.46 in medium category. it was found that average practicality test result for using electronic student worksheet was 94.87%, classified as very practical.…”
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Darunnajah Vote System Application Design Using PHP Programming Language by Supriadi Panggabean, Wahyu Joko Saputro, Faishal Wafiq Zakiy, Tutik Lestari, Ahmad Rifqi

“…Testing using the black box method, every feature contained in the Darunnajah Vote System application, namely the Admin Login feature, User Login, User Voting, and User Data Processing features runs normally and functions properly.…”
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Sharing and Cooperation of Improved Cross-Entropy Optimization Algorithm in Telemedicine Multimedia Information Processing by Hongjiao Wu

“…The simulation results and comparison results with other systems prove that the system in this paper can realize fast data processing, retrieve and analyze massive data, and meet the demand of remote intelligent diagnosis under the premise of safety and stability. …”
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Human Resource Allocation Based on Fuzzy Data Mining Algorithm by You Wu, Zheng Wang, Shengqi Wang

“…First, the feasibility of realizing performance appraisal data mining is studied; then, the business process needed to realize the information system is analyzed, the business process-related links and the corresponding data input interface are designed, and then the data process to realize the data processing is designed, including data foundation and database model. …”
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Analyzing perception of Over-The-Top (OTT) sports broadcasting focus on social media big data analytics by Wonyong Jang, Jaeyeon Hwang

“…To achieve this, data was collected from various sources between 2018 and 2022 using ‘OTT sports broadcasting’ as the keyword, employing a big data processing solution called ‘Textom.’ The results were as follows: First, text mining was conducted to analyze word frequencies and examine TF-IDF scores. …”
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