Development of an Algorithm and Module for Automatic Evaluation of Student Papers Based on Semantic Analysis of Text by A. A. Poguda, Jean Max Habib Tape

“…Various methods can be used to develop a module for automatic assessment of students’ work, such as:Machine learning techniques: these techniques allow the module to learn from a set of examples where lecturers have already assessed students’ papers and automatically grade new papers.Natural Language Processing (NLP) methods: these methods allow the module to understand the meaning of text and evaluate it against given criteria.Expert systems methods: these methods allow the module to utilize the knowledge of experts in assessing students’ papers. …”
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Underwater Modulation Classification Using Discrete Wavelet Transform and Genetic Algorithm by Ali Çimen, Erdoğan Aldemir, Timur Düzenli

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SVM-Based Optical Detection of Retinal Ganglion Cell Apoptosis by Mukhit Kulmaganbetov, Ryan Bevan, Andrew Want, Nantheera Anantrasirichai, Alin Achim, Julie Albon, James Morgan

“…A grey-level co-occurrence-based texture analysis was performed on the inner plexiform layer (IPL) to monitor changes in the optical speckles using a principal component analysis (PCA) and a support vector machine (SVM). In parallel tests, retinal transparency was confirmed by a comparison of the modulation transfer functions (MTFs) at 0 and 120 min. …”
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Exploration and practice of human-machine trustworthy mechanism in XAI by LUO Zhongyan, XIA Zhengxun, TANG Jianfei, YANG Yifan, YANG Hongshan, LI Haohua, ZHANG Yan

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Traffic congestion forecasting using machine learning methods by Ramil R. Zagidullin, Almaz N. Khaybullin

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Production Quality Evaluation of Electronic Control Modules Based on Deep Belief Network by Hua Gong, Wanning Xu, Congang Chen, Wenjuan Sun

“…The electronic control module is an important part of a digital electronic detonator, which undergoes a complex production process that includes three electrical performance tests and three visual inspection procedures. …”
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Control of 3x7 matrix converter with PWM three intervals modulation by Mohamed Mounir Rezaoui, Noureddine Bessous, Imad Merzouk

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Application of Machine Learning for Real-Time Phishing Attack Detection by Akshay Shankar Agrawal, Sanketi Raut, Andrina Dsouza, Jimit Mehta, Prajwal Naik

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TARKAM: The Advanced Robotic Kicker and Automation Machine for Goalkeeper Training by Hendi Purnata, Supriyono, Sugeng Dwi Riyanto, Dwi Aji Nugroho, Wahidun Sholih

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Exploring the Global and Regional Factors Influencing the Density of <i>Trachurus japonicus</i> in the South China Sea by Mingshuai Sun, Yaquan Li, Zuozhi Chen, Youwei Xu, Yutao Yang, Yan Zhang, Yalan Peng, Haoda Zhou

“…A robust experimental design identified nine key factors significantly influencing this density: mean sea-level pressure (msl-0, msl-4), surface pressure (sp-0, sp-4), Summit ozone concentration (Ozone_sum), F10.7 solar flux index (F10.7_index), nitrate concentration at 20 m depth (N3M20), sonar-detected effective vertical range beneath the surface (Height), and survey month (Month). …”
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A Structured Data Model for Asset Health Index Integration in Digital Twins of Energy Converters by Juan F. Gómez Fernández, Eduardo Candón Fernández, Adolfo Crespo Márquez

“…A persistent challenge in digital asset management is the lack of standardized models for integrating health assessment—such as the Asset Health Index (AHI)—into Digital Twins, limiting their extended implementation beyond individual projects. …”
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Teaching Data Analysis and Machine Learning at University: Generalization of Experience and Perspectives by Victoria Dorofeeva, Sergey Stroev, Dmitrii Dorofeev

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EMG-based body–machine interface for targeted trunk muscle activation by Carolina Correia, Andrea Bandini, Silvestro Micera, Sara Moccia

“…The system utilizes machine learning to generate personalized trunk motion trajectories based on predefined EMG profiles. …”
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MODEL REGULASI PADA PROSES BIODEGRADASI POLYETHYLENE TEREPHTHALATE (PET) by Taufan Talib

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Temperature-VPD-evapotranspiration interactions modulated asynchronous dynamics of vegetation photosynthesis and net ecosystem production in Eurasia by Rui Yang, Hao Yuan, Ruohua Du, Litao Zhou, Jianjun Wu, Liang Gao, Ting Mao

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OncoImmune machine-learning model predicts immune response and prognosis in leiomyosarcoma by Jingrong Deng, Changfa Shu, Dong Wang, Richard Nimbona, Xingping Zhao, Dabao Xu

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Outdoor location scheme with fingerprinting based on machine learning of mobile cellular network by Zhichao ZHOU, Yi FENG, Xiaohan XIA, Yuyao FENG, Chao CAI, Jiahui QIU, Lihui YANG, Yunxiao WU

“…The positioning scheme based on mobile cellular network technology is one of the important technical approaches to provide network optimization, emergency rescue, police patrol and location services.The traditional positioning scheme based on cell base station location information has low positioning accuracy and large positioning error, so it cannot meet the requirements of some positioning applications.The scheme based on fingerprint location can greatly improve the location accuracy, save computational cost and enhance the usability based on the coarse location scheme of the cell and become the hotspot of the research.Rasterization and non-rasterization of outdoor fingerprint location scheme based on machine learning were studied and analyzed to meet the business requirements of outdoor fingerprint location.By means of parameter weighting, data fitting and other methods, large-scale fingerprint data were cleaned to improve the effectiveness of data sources.Through the realization of sub-modules such as demarcating research area, rasterizing, constructing fingerprint database, training model, correcting model, non-rasterizing, rough positioning coupling, matching parameter and training parameter, the operation efficiency and positioning accuracy of the algorithm were analyzed and optimized, and the key indexes affecting the algorithm performance were determined.Then, the performance of two fingerprint-based localization schemewas analyzed based on the simulation results.Finally, the typical scenarios of the fingerprint location scheme based on machine learning in practical application were presented.…”
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A METHOD FOR INVESTIGATING MACHINE LEARNING ATTACKS ON ARBITER-TYPE PHYSICALLY UNCLONABLE FUNCTIONS by Yuri A. Korotaev

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Prototype of Swiftlet Nest Moisture Content Measurement Using Resistance Sensor and Machine Learning by Ratu Anggriani Tangke Parung, Hanna Arini Parhusip, Suryasatriya Trihandaru

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Robust algorithm for electric fault diagnosis in the three phase induction machine based on spectral and wavelet tools. by Francisco Javier Villalobos Piña, Ricardo Álvarez Salas

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