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2D Polynomial Regression Modeling for Predictive Analysis of Glucose Concentration in NP-Model Fractal Microwave Sensor Using Frequency and Transmission Coefficient Disparities

2D Polynomial Regression Modeling for Predictive Analysis of...

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13th International Electrical engineering Congress, iEECON 2025

作者： Nantapanich, Nutyada Mahatthanajatuphat, Pisit Wongsin, Norakamon Lee, Wilaiporn Rajamangala University of Technology Thanyaburi Faculty of Engineering Department of Electronics and Telecommunication Engineering Pathum Thani Thailand Yothinburana School Regular Program in Mathematics-Science Bangkok Thailand King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangkok Thailand

ISBN: (纸本)9798331543952

The article introduces a two-dimensional polynomial regression model for the predictive analysis of glucose concentration in a fractal microwave sensor NP model, utilizing frequency and transmission coefficient differences to examine their correlation with glucose concentration levels. The sensor employed in this investigation is fabricated on an economical FR-4 substrate to minimize costs. The sensor structure is developed with the fractal structure reduction method established by the NP model to operate at a frequency of roughly 2.97 GHz. The CST Studio software is utilized to analyze the findings from the simulation of the suggested sensor structure. Furthermore, the proposed sensor is integrated into a test apparatus comprising a sensor platform and a liquid tube constructed from PPA material. The liquid under examination is a glucose and water mixture at varying concentrations. It was analyzed using a VNA instrument to evaluate its frequency response and the magnitude of the alteration in the transmission coefficient. The values are utilized to create a two-dimensional polynomial regression model. The experiments demonstrated that the proposed sensor model possesses an Adjusted R² value of 0.99499 and an average error of approximately 3.57% for glucose concentration analysis throughout the range of 5% to 30%, with sensitivities of 0.00879 dB/% for insertion loss and 0.092 MHz/% for frequency variation, facilitating accurate glucose concentration prediction analysis. © 2025 IEEE.

关键词： Polynomial regression

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Techno-economic analysis of advanced ku-band high throughput satellite to fulfill broadband access needs of Indonesian Government

Techno-economic analysis of advanced ku-band high throughput...

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2021 IEEE Technology and engineering Management Conference - Europe, TEMSCON-EUR 2021

作者： Kristiadi, Ignatius Daru Nashiruddin, Muhammad Imam Sudjai, Miftadi Telkom University Graduate Program of Regulation and Management of Telecommunication School of Electrical Engineering Bandung Indonesia School of Electrical Engineering Bandung Indonesia Telkom University Bandung Indonesia

ISBN: (纸本)9781665440912

Indonesia, a maritime country and one of the biggest archipelagic countries globally, has complex issues regarding the distribution of broadband access throughout their regions. On the other hand, Indonesia's broadband needs are growing rapidly in this digital era, no exception for the Indonesian government. The High Throughput Satellite (HTS) can be the best solution to overcome the inequality of network connectivity distribution across Indonesia. This paper discussed the techno-economic analysis of advanced HTS for Indonesian Government multifunctional services. The objective is to give an overview concerning the potential investment of advanced HTS with specifications in the Ku-Band frequency spectrum from a techno-economic perspective for the Indonesian government. The result shows that the possible capacity generated by Kuband HTS is sizeable, around 35.51 - 319.26 Gbps. Thus, it is good technical potential for fulfilling the Indonesian government's enormous capacity demand for broadband access. Then, from an economic aspect the NPV of the investment is 32.2 million USD, IRR shows 15.71% greater than MARR of 15%. Then, the payback period reached by this project is estimated 8 years 6 months with the profitability index of this project is 1.03. Therefore, the economic analysis result concludes that it can be categorized as a feasible Indonesia project initiative. © 2021 IEEE.

关键词： Investments

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The Scientific Progress and Prospects of Artificial Intelligence for Cancer Detection: A Bibliometric Analysis 24

The Scientific Progress and Prospects of Artificial Intellig...

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24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023

作者： Maulana, Fairuz Iqbal Adi, Puput Dani Prasetyo Lestari, Dian Ariyanto, Sandy Vikki Purnomo, Agung Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia National Research and Innovation Agency Telecommunication Research Center Jakarta11480 Indonesia Universitas Airlangga Faculty of Medicine Surabaya60132 Indonesia University of Madura Informatics Engineering Study Program Pamekasan Indonesia Bina Nusantara University BINUS Business School Undergraduate Program Entrepreneurship Department Jakarta11480 Indonesia

ISBN: (纸本)9798350313956

Using the Scopus database, this study aims to investigate the use of artificial intelligence for cancer detection in the last ten years from 2013 to 2022. The researchers used bibliometric analysis combined with VosViewer and Rstudio software quantification method for literature analysis. The results of the flushed articles show data such as publication year, journal, country, keywords, and authors, to the highest number of citations. Common keywords used by researchers are artificial intelligence, medical, and human. Researchers limited the findings through keywords such as in the last ten years, documents are journals, and English only so that 1868 articles were obtained. The results found that Harvard Medical School affiliation had the highest number of articles, with 101 articles, by subject area, Medicine had a proportion of 41.9% (n=1320). This bibliometric study will be useful for other researchers to examine the development of research on Artificial Intelligence for Cancer Detection in the last ten years. © 2023 IEEE.

关键词： Diseases

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Development of a Phase-Locked Loop Circuit in Running Frequency Mode for Capacitance-to-Voltage Conversion

Development of a Phase-Locked Loop Circuit in Running Freque...

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13th International Electrical engineering Congress, iEECON 2025

作者： On-Khong, Tada Sisuk, Noppadon Wardkein, Paramote Katman, Ratchanoo Prompak, Kriangsak Naresuan University Faculty of Science Department of Physics Phitsanulok Thailand Phibunsongkhram Rajabhat University Program in Computer Engineering Faculty of Industrial Technology Phitsanulok Thailand King Mongkut's Institute of Technology Ladkrabang School of Engineering Department of Telecommunication Bangkok Thailand Phibunsongkhram Rajabhat University Program of Physics Faculty of Science and Technology Phitsanulok Thailand

ISBN: (纸本)9798331543952

Capacitance-to-voltage conversion is essential for capacitive sensors in various industries, including touch interfaces, medical devices, and moisture measurement. However, circuit design faces challenges like non-linearity, noise, and small capacitance variations affecting voltage signals. This article proposes a phase-locked loop in free-running oscillator mode with a frequency-to-voltage converter to enhance accuracy and stability. Test results show a 97.9% measurement accuracy, demonstrating reduced noise and improved stability. The proposed circuit is ideal for high-precision applications in diverse environments, overcoming limitations of traditional methods. © 2025 IEEE.

关键词： Phase locked loops

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Hybrid Model Approaches Toward Movie Recommendation Systems and Their Comparisons

Hybrid Model Approaches Toward Movie Recommendation Systems ...

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International Conference on Data Analytics and Management, ICDAM 2023

作者： Parikh, Jolly Antony, Saji M. Jain, Rachna Chawla, Naman Mishra, Ashish de Albuquerque, Victor Hugo C. Neto, Aloísio Vieira Lira Department of Computer Science and Engineering Bharati Vidyapeeth’s College of Engineering New Delhi India Department of Electronics and Communication Engineering Bharati Vidyapeeth’s College of Engineering New Delhi India Department of Information Technology Bhagwan Parshuram Institute of Technology New Delhi India Department of Computer Science and Engineering Bhagwan Parshuram Institute of Technology New Delhi India Department of CSE Gyan Ganga Institute of Technology and Sciences Madhya Pradesh Jabalpur India Federal Institute of Education Science and Technology of Ceara Fortaleza Brazil Federal University of Ceará Fortaleza Ceará Fortaleza Brazil Graduation Program in Telecommunication Engineering Federal University of Ceará Fortaleza Ceará Fortaleza Brazil

ISBN: (纸本)9789819965465

In the contemporary digital era, individuals face an overwhelming challenge of searching for personalized content from a seemingly infinite pool of available options such as books, videos, articles, and movies. Simultaneously, digital content providers strive to attract and retain as many users on their platforms as possible for extended periods. This has led to the evolution of recommender systems, which aim to enhance user engagement and satisfaction by recommending content based on their preferences and interests. These systems employ sophisticated algorithms and data mining techniques to analyze user behavior and feedback, enabling them to make personalized recommendations to users, thereby improving their overall experience. In this paper, an investigation is conducted in which different models in machine learning with their combinations are evaluated to evaluate which model could give the best accuracy with actual ratings given by users. The models used are Lasso regression, XGBoost, K-nearest neighbor, surprise baseline only, SVD, SVDpp, and their combinations. The proposed ensembled model of XGBoost + surprise baseline + surprise KNN baseline + SVD + SVDpp, with the minimum value of RMSE as 1.111410 and MAPE value as 39.261054, is our best model and can serve as a reference for any future recommender system. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Singular value decomposition

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Development of a Phase-Locked Loop Circuit in Running Frequency Mode for Capacitance-to-Voltage Conversion

Development of a Phase-Locked Loop Circuit in Running Freque...

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International Electrical engineering Congress (iEECON)

作者： Tada On-khong Noppadon Sisuk Paramote Wardkein Ratchanoo Katman Kriangsak Prompak Department of Physics Faculty of Science Naresuan University Phitsanulok Thailand Program in Computer Engineering Faculty of Industrial Technology Phibunsongkhram Rajabhat University Phitsanulok Thailand Department of Telecommunication School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Program of Physics Faculty of Science and Technology Phibunsongkhram Rajabhat University Phitsanulok Thailand

ISBN: (数字)9798331543952

ISBN: (纸本)9798331543969

关键词： Accuracy Sensitivity Moisture measurement Noise Moisture Capacitance Frequency conversion Circuit stability Phase locked loops Standards

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Enhanching Data Rate and Coverage in Private 5G Network: A Comparative Study of 4×4 MIMO and 8×8 MIMO Antennas

Enhanching Data Rate and Coverage in Private 5G Network: A C...

引用

IEEE International Conference on Communication, Networks and Satellite (ComNetSat)

作者： Asri Wulandari Marfani Hasan Alfin Hikmaturokhman Electrical Engineering Departement Politeknik Negeri Jakarta Depok Indonesia Integrated Infrastucture Program and Budget Management PT. Telekomunikasi Indonesia Jakarta Indonesia Telecommunication Engineering Institut Teknologi Telkom Purwokerto Purwokerto Indonesia

Private 5 G is a promising wireless network technology providing wide ranging of new opportunities for mobile operators to allow customers to have enhanced capacities and end-user experiences in order to deal with the growing data demands. Nonetheless, prior to the installation of Private 5G, it is necessary to properly prepare the base, especially in selecting the most appropriate antenna and Radio Frequency (RF) band. This study aims to analyze the implementation of $4 \times 4$ MIMO and $8 \times 8$ MIMO antennas on the Private 5G Network in the industrial area of Greater Jakarta, covering an area of 35 km2, at a frequency of 2300 MHz and a bandwidth of 40 MHz. The research was conducted using data rate measurement scenarios and the number of sites was calculated based on the variations of modulations used. The results showed that using an $8 \times 8$ MIMO antenna obtained a higher data rate that was 2 times of the $4 \times 4$ MIMO antenna and only needed fewer sites of 0.25 times the $4 \times 4$ MIMO antenna. The coverage planning simulation also showed that the $8 \times 8$ MIMO Antenna had better SS-RSRP and SS-SINR values than the $4 \times 4$ MIMO Antenna with -93.27 dBm and 18,560 dB.

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Co-channel Interference in GSO High Throughput Multi-beam Satellite in Indonesia: Study Link Budget and Capacity Analysis

Co-channel Interference in GSO High Throughput Multi-beam Sa...

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IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)

作者： Vi Bauty Riska Utami Heroe Wijanto Miftadi Sudjai Graduate Program of Regulation and Management of Telecommunication School of Electrical Engineering Telkom University Bandung Indonesia The University Center of Excellence for Intelligent Sensing-IoT School of Electrical Engineering Telkom University Bandung Indonesia Center of Excellence in Biomedical and Healthcare Technology School of Electrical Engineering Telkom University Bandung Indonesia

ISBN: (数字)9798331543105

ISBN: (纸本)9798331543112

Current satellite technology has developed rapidly from traditional satellites to High Throughput Satellite (HTS) because it offers the advantages of multibeam antennas and reuse frequencies. Nevertheless, intersystem interference exists. This study discusses Co-Channel Interference (CCI) in the 4-reuse color scheme on an 8-beam GSO HTS with Ku-band frequencies in Indonesia. The analysis was conducted by analyzing the link budget and capacity before and after interference on the user communication side, forward downlink, and return uplink. The results of the link budget before CCI, Carrier to Noise ratio or C/N on Beam 1 to 8 ranging from 23.34 dB to 23.50 dB. And C/N on the return uplink is 18.74 dB to 19.07 dB. Then after interference, the Carrier to Noise plus Interference Ratio or C/(N+I) on the forward downlink produces 11.96 dB to 12.15 dB. While the return uplink produces C/(N+I) of 13.91 to 14.05 dB for Beam 1 to Beam 8. Because CCI decreases signal quality, the total capacity decreases where the forward downlink before interference produces 8.99 Gbps to 4.74 Gbps. The return uplink capacity of 7.09 Gbps due to interference becomes 5.27 Gbps. The purpose of further research recommendations is to analyze CCI on other reuse color schemes with a more significant number of beams and analyze appropriate mitigation techniques.

关键词： High-temperature superconductors Satellite antennas Satellites Image color analysis Prevention and mitigation Downlink Throughput Ku-band Uplink Interchannel interference

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Churn Prediction in Financial Risk Management using Deep Learning Techniques 2

Churn Prediction in Financial Risk Management using Deep Lea...

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2nd IEEE International Conference on Advanced Technologies in Intelligent Control, Environment, Computing and Communication engineering, ICATIECE 2022

作者： Kumar, V Sunil Sowmyashree, S. Pareek, Piyush Kumar Khanna, Ashish Costa De Albuquerque, Victor Hugo Gupta, Deepak Nitte Meenakshi Institute of Technology Department of Artificial Intelligence & Machine Learning Bengaluru India Computer Science & Engineering East West Institute of Technology Bengaluru India Graduate Program in Telecommunication Engineering Federal Institute of Education Science and Technology of Cearά Fortaleza Brazil Maharaja Agrasen Institute of Technology GGSIPU CSE Dept India Federal University of Cearά Department of Teleinformatics Engineering Brazil

ISBN: (纸本)9781665493963

It is essential to develop an efficient Client Relationship Model in order to make use of the estimations about customer turnover (CRM). Finding and breaking down the facts surrounding the business information understanding is necessary for client produce prediction, which should be made possible effectively by altering the strategies used for business insight. The tools that are provided by company insight allow for the historical, current, and prospective perspectives of business activity to be anticipated and dissected. It is possible to deal with it in an efficient way by providing the information mining approaches that choose the data from the created informative index that is the most helpful. Fundamental leadership should be possible to achieve in a fruitful way if one has this information. The actions that consumers have taken in the recent past are going to be analyzed, and an accurate forecast is going to be formed about those customers who are likely going to get unhappy in the near future based on the results of that prediction. The problem is that deciding on a certain period to investigate the client's activities and also establishing on a specific day and age for each of the clients won't be appropriate6. This is due to the fact that the problem is caused by the fact that deciding on a certain period to investigate the client's activities will take too long. The challenge lies just in this aspect. How to decide on a certain amount of time to spend researching the activities of the customer. For instance, when planning a model, 100 customers are used, 70 of those customers are considered 'active,' which indicates that they are still conducting business with the organisation, and the remaining 30 customers are considered 'agitate,' which indicates that they have severed their ties with the organisation. The primary purpose of the work that has been suggested is to carry out exploratory research and management as a multicriteria basic leadership issue, a

关键词： Forecasting

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ICU Bed Capacity Analysis with Transformer-Based Length of Stay Prediction and Erlang Loss Formula

ICU Bed Capacity Analysis with Transformer-Based Length of S...

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International Conference on Electrical engineering/Electronics, Computer, telecommunications and Information Technology, ECTI-CON

作者： Sahawat Tanutsiriteeradet Wuttipong Kumwiaisak Jisue Youn Kumwilaisak Ratchapon Thammacharo Kanya Kumwilaisak Phornlert Chatkaew Electronics and Telecommunication Engineering King Mongkut's University of Technology Thonburi Bangkok Thailand Gifted Math Program Triam Udom Suksa School Bangkok Thailand Gifted Math Program Mahidol Wittayanusorn School Nakorn Pathom Thailand Department of Anesthesiology King Chulalongkorn Memorial Hospital Bangkok Thailand

ISBN: (数字)9798350381559

ISBN: (纸本)9798350381566

This paper introduces a new method for predicting the length of stay in the ICU using a transformer-based architecture. The predicted results are used for analyzing ICU bed capacity with the Erlang loss formula. The prediction architecture comprises two transformer layers, one global average pooling layer, and two fully connected layers. The proposed model classifies the length of stay into four classes depending on how long patients are admitted to the ICU based on patient data. In addition, the model estimates the length of stay in days of each patient. We then utilize the estimated length of stay to analyze ICU resources with the Erlang loss model. Given ICU blocking probabilities, the required ICU bed numbers are estimated with Erlang-B. Patient data from the MIMIC-III dataset, including various vital signs and patient health conditions, and the actual statistics from the Pediatric ICU at King Chulalongkorn Memorial Hospital are deployed to evaluate the proposed method. Experimental results show that the transformed-based architecture surpasses previous works regarding length of stay prediction accuracy. In addition, our analysis of ICU resources provides close results to those from the actual statistics from the Pediatric ICU at King Chulalongkorn Memorial Hospital.

关键词： Analytical models Accuracy Hospitals Computational modeling MIMICs Predictive models Probability

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