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Open source ML framework algorithms for biophysical models

The European Physical Journal Special Topics 2025年 1-13页

作者： Andrikov, Denis A. Informatics and Control System Faculty Bauman Moscow State Technical University Moscow Russia

Biophysical models for processing multimodal data are mathematical computer program code and algorithms that integrate and process information from various sources (modalities), such as time series (e.g., biochemical indicators, electrocardiograms or electroencephalograms), genetic information, medical images, and other types of data to describe and understand complex biological processes. This article focuses on the application of open source AutoML framework algorithms for analyzing biophysical models. There are a lot of complex AutoML reviews out there. But none of them do not take into account biomedical/biophysical special fine-tuning and functional “out-of-the-box” procedures and code functionalities. It is the import areas such as processing cardiac signals, functional brain response, computer tomography, electronic medical/healthcare record’s textual data, and genetic information. By bridging the gap between machine learning automation and biophysical modeling, biophysical AutoML enables researchers to tackle complex biological problems with greater efficiency and accuracy. Research results confirm that Open source AutoML framework algorithms for biomed/biophysical models could improve diagnostic accuracy, reduce analysis time, and promote the development of personalized medicine, although further improvement of regulatory frameworks and validation methods is required.

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Features for Read Reference Voltage Estimation in NAND Flash Memory 13

Features for Read Reference Voltage Estimation in NAND Flash...

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13th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2023

作者： Bailon, Daniel Nicolas Shavgulidze, Sergo Freudenberger, Jurgen Institute for System Dynamics Htwg Konstanz University of Applied Sciences Germany Georgian Technical University Faculty of Informatics and Control Systems Georgia 06108 Germany

ISBN: (纸本)9798350324150

Reliability is a crucial aspect of non-volatile NAND flash memories, and it is essential to thoroughly analyze the channel to prevent errors and ensure accurate readout. Es-timating the read reference voltages (RRV s) is a significant challenge due to the multitude of physical effects involved. The question arises which features are useful and necessary for the RRV estimation. Various possible features require specialized hardware or specific readout techniques to be usable. In contrast we consider sparse histograms based on the decision thresholds for hard-input and soft-input decoding. These offer a distinct advantage as they are derived directly from the raw readout data without the need for decoding. This paper focuses on the information-theoretic study of different features, especially on the exploration of the mutual information (MI) between feature vector and RRV. In particular, we investigate the dependency of the MI on the resolution of the histograms. With respect to the RRV estimation, sparse histograms provide sufficient information for near-optimum estimation. © 2023 IEEE.

关键词： Decoding

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Cell-wise encoding and decoding for TLC flash memories 12

Cell-wise encoding and decoding for TLC flash memories

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12th IEEE International Conference on Consumer Electronics, ICCE-Berlin 2022

作者： Bailon, Daniel Nicolas Shavgulidze, Sergo Freudenberger, Jurgen University of Applied Sciences Institute for System Dynamics HTWG Konstanz Germany Georgian Technical University Faculty of Informatics and Control Systems Georgia

ISBN: (数字)9781665456760

ISBN: (纸本)9781665456760

Automotive computing applications like AI databases, ADAS, and advanced infotainment systems have a huge need for persistent memory. This trend requires NAND flash memories designed for extreme automotive environments. However, the error probability of NAND flash memories has increased in recent years due to higher memory density and production tolerances. Hence, strong error correction coding is needed to meet automotive storage requirements. Many errors can be corrected by soft decoding algorithms. However, soft decoding is very resource-intensive and should be avoided when possible. NAND flash memories are organized in pages, and the error correction codes are usually encoded page-wise to reduce the latency of random reads. This page-wise encoding does not reach the maximum achievable capacity. Reading soft information increases the channel capacity but at the cost of higher latency and power consumption. In this work, we consider cell-wise encoding, which also increases the capacity compared to page-wise encoding. We analyze the cell-wise processing of data in triple-level cell (TLC) NAND flash and show the performance gain when using Low-Density Parity-Check (LDPC) codes. In addition, we investigate a coding approach with page-wise encoding and cell-wise reading. © 2022 IEEE.

关键词： Cells

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Estimating Mutual Information for Link Adaptation in Generalized Spatial Modulation systems with Neural Networks 26

Estimating Mutual Information for Link Adaptation in General...

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26th International ITG Workshop on Smart Antennas, WSA 2023 and 13th Conference on systems, Communications, and Coding, SCC 2023

作者： Bailon, Daniel Nicolas Kühn, Volker Shavgulidze, Sergo Freudenberger, Jürgen Institute for System Dynamics HTWG Konstanz University of Applied Sciences Germany Institute of Communications Engineering Faculty of Computer Science and Electrical Engineering University of Rostock Germany Faculty of Informatics and Control Systems Georgian Technical University Georgia Germany

ISBN: (纸本)9783800760510

Spatial modulation (SM) is a low-complexity multiple-input/multiple-output transmission technique that combines index modulation and quadrature amplitude modulation for wireless communications. In this work, we consider the problem of link adaption for generalized spatial modulation (GSM) systems that use multiple active transmit antennas simultaneously. Link adaption algorithms require a real-time estimation of the link quality of the time-variant communication channels, e.g., by means of estimating the mutual information. However, determining the mutual information of SM is challenging because no closed-form expressions have been found so far. Recently, multilayer feedforward neural networks were applied to compute the achievable rate of an index modulation link. However, only a small SM system with two transmit and two receive antennas was considered. In this work, we consider a similar approach but investigate larger GSM systems with multiple active antennas. We analyze the portions of mutual information related to antenna selection and the IQ modulation processes, which depend on the GSM variant and the signal constellation. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Complex networks

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Finding patterns in employee attrition rates using self-organizing Kohonen maps and decision trees

Finding patterns in employee attrition rates using self-orga...

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2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical systems, ICSES 2023

作者： Degtyareva, Ksenia Ageev, Daniel Alikhanovich Kukartsev, Vladislav Viktorovich Reshetnev Siberian State University of Science and Technology Department of Information Economic System Krasnoyarsk Russia Moscow State Technical University Informatics Artificial Intelligence and Control Systems Faculty Bauman Moscow Russia

ISBN: (纸本)9798350319200

This text presents a study of the causes of employee termination in organizations. Using employee data such as age, gender, marital status, monthly income, education, and others, an analysis was conducted using neural network algorithms (Kohonen maps) and Decision Trees. The results showed that both methods were suitable for analysis, but the neural network method showed the lowest error (7.4%). The analysis allowed to identify the most significant factors such as monthly income, age of employees, marital status and years of employment with the company. The analysis will help to optimize the process of predicting employee dismissal and save resources on unnecessary analyses. © 2023 IEEE.

关键词： data analysis data set economy finance Kohonen map

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Neural network aided reference voltage adaptation for NAND flash memory 12

Neural network aided reference voltage adaptation for NAND f...

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12th IEEE International Conference on Consumer Electronics, ICCE-Berlin 2022

作者： Bailon, Daniel Nicolas Taburet, Guillaume Shavgulidze, Sergo Freudenberger, Jurgen HTWG Konstanz University of Applied Sciences Institute for System Dynamics Germany ENSICAEN Engineering School France Georgian Technical University Faculty of Informatics and Control Systems Georgia

ISBN: (数字)9781665456760

ISBN: (纸本)9781665456760

Large persistent memory is crucial for many applications in embedded systems and automotive computing like AI databases, ADAS, and cutting-edge infotainment systems. Such applications require reliable NAND flash memories made for harsh automotive conditions. However, due to high memory densities and production tolerances, the error probability of NAND flash memories has risen. As the number of program/erase cycles and the data retention times increase, non-volatile NAND flash memories' performance and dependability suffer. The read reference voltages of the flash cells vary due to these aging processes. In this work, we consider the issue of reference voltage adaption. The considered estimation procedure uses shallow neural networks to estimate the read reference voltages for different life-cycle conditions with the help of histogram measurements. We demonstrate that the training data for the neural networks can be enhanced by using shifted histograms, i.e., a training of the neural networks is possible based on a few measurements of some extreme points used as training data. The trained neural networks generalize well for other life-cycle conditions. © 2022 IEEE.

关键词： Life cycle

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Finding patterns in employee attrition rates using self-organizing Kohonen maps and decision trees

Finding patterns in employee attrition rates using self-orga...

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Innovative Computing, Intelligent Communication and Smart Electrical systems (ICSES), International Conference on

作者： Ksenia Degtyareva Daniel Alikhanovich Ageev Vladislav Viktorovich Kukartsev Department of Information Economic System Reshetnev Siberian State University of Science and Technology Krasnoyarsk Russia Informatics Artificial Intelligence and Control Systems Faculty Bauman Moscow State Technical University Moscow Russia

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Data analysis using neural networks and Kohonen maps in a comparative perspective

Data analysis using neural networks and Kohonen maps in a co...

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2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical systems, ICSES 2023

作者： Degtyareva, Ksenia Borodulin, Aleksey Soloveva, Tatiana Nelyub, Vladimir Kukartsev, Vladislav Reshetnev Siberian State University of Science and Technology Department of Systems Analysis and Operations Research Krasnoyarsk Russia Moscow State Technical University Artificial Intelligence Technology Scientific and Education Center Bauman Moscow Russia Reshetnev Siberian State University of Science and Technology Department of Information Economic System Krasnoyarsk Russia Moscow State Technical University Informatics Artificial Intelligence and Control Systems Faculty Bauman Moscow Russia

ISBN: (纸本)9798350319200

This paper discusses two powerful methods of data analysis, neural networks and self-organising Kohonen maps. The main emphasis is on the importance of correct data preparation before analysis. Their impact on the accuracy and quality of research results is analysed. The paper provides deep insight into the effective application of these techniques in various data analysis scenarios. © 2023 IEEE.

关键词： accuracy of analysis data analysis data clustering data preparation neural networks relationships in data self-organising Kohonen maps

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Features for Read Reference Voltage Estimation in NAND Flash Memory

Features for Read Reference Voltage Estimation in NAND Flash...

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IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

作者： Daniel Nicolas Bailon Sergo Shavgulidze Jürgen Freudenberger Institute for System Dynamics HTWG Konstanz University of Applied Sciences Germany Faculty of Informatics and Control Systems Georgian Technical University Georgia Agentur fur Innovation in der Cybersicherheit GmbH (Cyberagentur) Halle (Saale) Germany

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Optical Evanescent Field for Direct Observation of Sub-100nm Particle Motion on Glass Surface 1

Optical Evanescent Field for Direct Observation of Sub-100nm...

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1st International Conference on Robotics, Engineering, Science, and Technology, RESTCON 2024

作者： Khajornrungruang, Panart Permpatdechakul, Thitipat Suzuki, Keisuke Blattler, Aran Terayama, Yutaka Goto, Daiki Phaisalpanumas, Pipat Bun-Athuek, Natthaphon Phunopas, Amornphun Kyushu Institute of Technology Iizuka-Shi Mechanical Science and Technology Division Dept. of Intelligent and Control System Faculty of Computer Science and Systems Engineering Fukuoka Japan Kyushu Institute of Technology Iizuka-Shi Mechanical Information Science and Technology Division Dept. of Interdisciplinary Informatics Graduate School of Computer Science and Systems Engineering Fukuoka Japan King Mongkut's University of Technology North Bangkok Bangsue Faculty of Engineering Dept. of Production and Robotics Engineering Bangkok Thailand Kyushu Institute of Technology Iizuka-Shi Mechanical Science and Technology Course Dept. of Intelligent and Control System Graduate School of Computer Science and Systems Engineering Fukuoka Japan King Mongkut's University of Technology North Bangkok Bangsue Faculty of Engineering Dept. of Industiral Engineering Bangkok Thailand King Mongkut's University of Technology North Bangkok Bangsue College of Industrial Technology Dept. of Mechanical Engineering Technology Bangkok Thailand

ISBN: (纸本)9798350348842

To directly investigate the dynamic nanoscale phenomenon on the surface being processed in wet conditions such as precision polishing, and cleaning in semiconductor industrial, an optical method for visualization and observation of each sub-100 nm sized particle that is moving on an interface such as a silica glass surface by applying an evanescent field have been proposing. Subsequently, we developed an experimental apparatus equipped with an optical microscopy system for verifying the moving particle observation method in a laboratory scale. This article introduces some experimentally direct observation results of duplicated wet processes. © 2024 IEEE.

关键词： Visualization

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