KLASIFIKASI TINGKAT KEBERHASILAN SURVIVAL RATE (SR) PADA PRODUKSI UDANG VANAME MENGGUNAKAN ALGORITMA NAÏVE BAYES by Ar Razi, Desvina Yulisda

“… Data mining is the process of collecting and processing data with the aim of extracting important information from the data. …”
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Investigation of Heat and Mass Transfer in the Processes of Heat Treatment and Drying of Thermal Insulation Materials by A. I. Ol’shanskii, S. V. Zhernosek, A. M. Gusarov

“…As a result of solving the criterion heat transfer equation, the values of the heat transfer coefficients for the period of the decreasing drying rate are obtained. The values of the Biot criterion in the processes of drying porous ceramics and asbestos are determined, too. …”
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MATHEMATICAL MODELING OF HEATING RATE PRODUCT AT HIGH HEAT TREATMENT by M. M. Akhmedova, M. E. Akhmedov, A. F. Demirova, V. V. Pinyaskin

“…Methods of computing and mathematical modeling are all widely used in the study of various heat exchange processes that provide the ability to study the dynamics of the processes, as well as to conduct a reasonable search for the optimal technological parameters of heat treatment.This work is devoted to the identification of correlations among the factors that have the greatest effect on the rate of heating of the product at hightemperature heat sterilization in a stream of hot air, which are chosen as the temperature difference (between the most and least warming up points) and speed cans during heat sterilization.As a result of the experimental data warming of the central and peripheral layers compote of apples in a 3 liter pot at high-temperature heat treatment in a stream of hot air obtained by the regression equation in the form of a seconddegree polynomial, taking into account the effects of pair interaction of these parameters.…”
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Adaptive data‐transition decision feedback equaliser with edge emphasis by Yue Li, Fei Yuan

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Research on Information Security Transmission of Port Multi-Thread Equipment Based on Advanced Encryption Standard and Preprocessing Optimization by Zhixin Xia, Xiaolei Yang, Afei Li, Yongshan Liu, Siyuan He

“…Based on the C/S multithreaded control framework, this article used AES encryption technology, and by customizing the S-boxes therein and differential diffusion of the S-boxes, it improved the randomness of the ciphertexts and the resistance to differential attacks, and reduced the likelihood of leakage in the process of data computation. On this basis, in order to reduce the cost overhead generated by AES encryption, this paper used the pre-computed method of optimizing S-boxes and Mixcolumn matrices to be applied to the multithreaded control framework, which improved the computation rate of AES, and then it improved the efficiency of the information transmission in the multithreaded control process. …”
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Examining the Efficiency of Learning-Based Algorithms in the Process of Declaring Customs by Mustafa Günerkan, Ender Şahinaslan, Önder Şahınaslan

“…This study evaluates the efficiency performances of learning-based algorithms regarding the customs declaration process over 4,005,343 pieces of declaration data. …”
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Accelerated Bayesian optimization for CNN+LSTM learning rate tuning via precomputed Gaussian process subspaces in soil analysis by Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong, Zhengchun Song

“…PurposeWe propose an accelerated Bayesian optimization framework for tuning the learning rate of CNN+LSTM models in soil analysis, addressing the computational inefficiency of traditional Gaussian Process (GP)-based methods. …”
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Neuro-fuzzy techniques for modeling process parameters in pulsed electrochemical machining of steel by Irvin Uriel Nopalera Angeles, Everardo Efrén Granda Gutiérrez, Roberto Alejo Eleuterio, René Arnulfo García Hernández, Ángel Hernández Castañeda, María Guadalupe Pineda Arizmendi

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Enhancing Epilepsy Seizure Detection Through Advanced EEG Preprocessing Techniques and Peak-to-Peak Amplitude Fluctuation Analysis by Muawiyah A. Bahhah, Eyad Talal Attar

“…This approach was applied to data from patients experiencing 3–5 seizures, categorized into three distinct groups. …”
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Prior contextual information and autistic traits influence eye gaze behaviour and emotional valence ratings for facial expressions by Özge Karakale, Nicole Nelson, Amina Gredelj, Kelly Jayne Ryan, Anil Bayindir

“…Participants rated the valence of facial expressions depicting different intensities of emotions across three contexts while an eye-tracker recorded their gaze behaviour. …”
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Trimester Specific Effect of Pregnancy on Maternal Cognitive Function using Critical Flicker Fusion Frequency: A Cross-sectional Study by J Roshni, S Anu, M Ramji

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Assessing the suitability of the Langevin equation for analyzing measured data through downsampling by Pyei Phyo Lin, Matthias Wächter, Joachim Peinke, M Reza Rahimi Tabar

“…By introducing downsampling techniques, where we artificially lower the sample rate, we derive a set of measures and criteria to analyze the data and differentiate between diffusive and non-diffusive behaviors. …”
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SHOULD LIKERT DATA BE TRANSFORMED USING SUMMATED RATING SCALE? A CONFIRMATORY FACTOR ANALYSIS STUDY ON THE CONTINUOUS LEARNING by Islamiani Safitri

“…Additionally, it offers insight into how processing Likert data on the Continuous Learning instrument is very straightforward and does not require data conversion through a summated rating scale.…”
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Observed impact of the GNSS clock data rate on radio occultation bending angles for Sentinel-6A and COSMIC-2 by S. Padovan, A. von Engeln, S. Paolella, Y. Andres, C. R. Galley, R. Notarpietro, V. Rivas Boscan, F. Sancho, F. Martin Alemany, N. Morew, C. Marquardt

“…Given that GNSS orbits are relatively smooth, this study focused on the effect of different transmitter clock data rates, and we tested the range from 1 to 30 s (specifically, the rates of 1, 2, 5, 10 and 30 s). …”
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Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses by İsmail Baydili, Burak Tasci, Gülay Tasci

“…Artificial intelligence (AI) has emerged as a transformative force in psychiatry, improving diagnostic precision, treatment personalization, and early intervention through advanced data analysis techniques. This review explores recent advancements in AI applications within psychiatry, focusing on EEG and ECG data analysis, speech analysis, natural language processing (NLP), blood biomarker integration, and social media data utilization. …”
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Implementation of Decision Support System with Data Mining Methods in the Quality Control Process of the Automotive Sector by Hikmet Canlı, Sinan Toklu

“…The measurementdata in this area is very large and as the volume of data increases, the rate that people understand is reduced.Variations are the enemy of quality. …”
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Algorithm for Processing Measurements of External Respiration Parameters Using Motion Capture Systems by A. V. Drozdova, A. N. Tkachenko, E. M. Skrebova, I. A. Sakun

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Evaluation of Alternative Models for Respiration Rate of Ready-to-Eat Strawberry (cv. ‘Ágata’) by Magdalena Irazoqui, Sofía Barrios, Patricia Lema

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Efficient Feature Selection and Hyperparameter Tuning for Improved Speech Signal-Based Parkinson’s Disease Diagnosis via Machine Learning Techniques by Deepak Painuli, Suyash Bhardwaj, Utku Kose

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A selection mechanism using multi-criteria evaluation and hierarhical classifying tree for resume data processing by O. V. German, J. O. German, S. Nasr

“…The paper considers a problem of optimal feature selection for resume data processing by means of combining multicriteria evaluation technique and hierarhical classifying trees technology what makes it possible to build a selection mechanism without necessity to collect data for the learning purposes of real applicants. …”
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