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Logistic Regression for Merchant Customer Churn Prediction: A Data-Driven Approach 24

Logistic Regression for Merchant Customer Churn Prediction: ...

引用

7th International Conference on Machine Learning and Machine Intelligence, MLMI 2024

作者： Nababan, Anandhini Medianty Purnamasari, Fanindia Elveny, Marischa Fransiska, Chatarina S. Zendrato, Niskarto Nasution, Umaya Ramadhani Putri Rahmat, Romi Fadillah Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia

ISBN: (纸本)9798400717833

Fintech applications are currently one of the developments that make transactions easier for individuals. Therefore, many fintech companies are trying to attract public interest in using the products they provide. The competition to retain clients is significant. Monitoring the frequency of consumer transactions every month can overcome this problem. This research aims to estimate customer attrition at various merchants registered on fintech platforms using logistic regression techniques. Logistic regression techniques use transaction data to make predictions about target values. The research also uses the sigmoid function to differentiate between churn and no-churn target classes. This study extends the initial model by including regularization techniques (L1 and L2) to improve predictive performance. The findings show that applying regularization significantly improves the precision, recall, F1 score, and overall accuracy of the model. © 2024 Copyright held by the owner/author(s).

关键词： Sales

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Spatial Recognition of Citrus Trees, Seedlings, and Gaps: A Deep Learning and Geometric Approach on Satellite-Based RGB Imagery

Spatial Recognition of Citrus Trees, Seedlings, and Gaps: A ...

引用

2024 International Conference on Horizons of information technology and Engineering, HITE 2024

作者： Hussain, Muhammad Hamza Atif Mehdi, Syed Atif, Kanwal University of Central Punjab Faculty of Information Technology and Computer Science Lahore Pakistan

ISBN: (纸本)9798331516055

Global food deprivation is one of the key concerns in recent years leading to the development of several techniques to increase food production. A decisive factor in increasing the overall food production is the optimum use of agricultural land. When planting orchards, proper planning and monitoring is required. Failure to do so can lead to tree gaps or blank spots in the plantation either due to the planting irregularity, or natural reasons like weather, pests, and diseases. Research work has been done on the monitoring of trees and crops using remotely sensed data, but we find limited work on finding gaps in agricultural plantations such as fruit orchards. Contributing to this, we have proposed a deep-learning-based approach that uses satellite data to detect individual tree gaps in citrus orchards in Pakistan. Very High-resolution (VHR) satellite images were collected using the Google Earth application. A custom-trained convolutional neural network is applied to the images. A specialized algorithm based on geometric information computes the location and count of individual trees, seedlings, and tree gaps in the given satellite image. Our proposed technique can detect trees with an F-score of 0.997, seedlings with an F-score of 0.964, and tree gaps with an F-score of 0.951. © 2024 IEEE.

关键词： Satellite imagery

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Comparison of CURE Algorithms Before and After Attribute Deletion Using Forward Selection Method 24

Comparison of CURE Algorithms Before and After Attribute Del...

引用

7th International Conference on Machine Learning and Machine Intelligence, MLMI 2024

作者： Nasution, Umaya Ramadhani Putri Muchtar, Muhammad Anggia Purnamasari, Fanindia Hayatunnufus, Hayatunnufus Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia

ISBN: (纸本)9798400717833

This study compares how well the CURE (Clustering Using Representatives) algorithm works in terms of speed and time efficiency before and after the forward selection method is used to get rid of attributes. Aiming to enhance computational speed without compromising the quality of clustering results, this study applies forward selection to identify and eliminate irrelevant attributes. The experimental results show that the removal of unimportant attributes significantly reduces the computation time of the CURE algorithm while maintaining or even improving the quality of clustering. The test results have shown that the time change of the clustering process reaches a representative point, i.e., before the attribute removal, the resulting time is 0.146 s, while after the attribute removal process, the resulting time is more efficient and reduced to 0.054 s. These findings highlight that forward selection can effectively enhance time efficiency in the clustering process, making it a highly useful method for high-dimensional dataset analysis. © 2024 Copyright held by the owner/author(s).

关键词： CURE

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Visual Programming Concept for Infineon XMC Series Microcontrollers 47

Visual Programming Concept for Infineon XMC Series Microcont...

引用

47th ICT and Electronics Convention, MIPRO 2024

作者： Vulić, Lukrecia Kaučić, Luka Aleksi, Ivan Matić, Tomislav Computer Science And Information Technology Osijek Faculty Of Electrical Engineering Osijek Croatia

ISBN: (纸本)9798350382495

In today's modern world, efficient programming is a necessity. To speed up code generation nowadays, programming code is generated using different graphical tools. Although efficient, this technology is scarcely used in embedded system development. In this paper, we present a procedure for block-based visual programming with applications in embedded systems development. We present several examples of blocks using the Blockly open-source visual programming tool and test the implementation on selected Infineon XMC-based boards. The presented programming solution shows successful implementation of block-based visual programming in embedded systems development. © 2024 IEEE.

关键词： Embedded systems

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Improved FBVANET Based on Hierarchical Stability Rate 6

Improved FBVANET Based on Hierarchical Stability Rate

引用

6th IEEE International Conference on Artificial Intelligence in Engineering and technology, IICAIET 2024

作者： Melvin, Ahmad Firdaus Muhammad Ahmedy, Ismail Azzuhri, Saaidal Razalli University Malaya Faculty of Computer Science and Information Technology Kuala Lumpur Malaysia

ISBN: (纸本)9798350389692

A mobile wireless sensor network works such as those used in vehicle ad hoc networks differs from a static wireless sensor network in that the nodes are not affix to one singular location but can traverse within the set range within the network. This dynamically changing network topology poses a challenge where the connections between network nodes are not constant and thus require a more sophisticated approach in ensuring constant communication uptime within the network. Fuzzy Logic Based Vehicle Ad Hoc Network (FBVANET) proposes using fuzzy logic to measure arbitrary values instead of Boolean values to determine the best route for data packet transmission based on link stability rate between nodes. This approach however creates a bottleneck problem in the network as the ideal routes will be the ones with the highest stability rate. The preliminary study on the Improved FBVANET Based on Hierarchical Stability Rate proposes routing data traffic through these stable links based on hierarchical stability rate, where if a network congestion occurs on the link with the highest stability rate, the network will open an alternate path based on the second highest, then third, and so on until the network congestion recedes, where it will then close off the alternate routing paths from least stable to most stable link. Comparison studies conducted shows a positive improvement to the overall throughput of a network when introduced with a network congestion system, in turn supporting the hypothesis. In conclusion, a network congestion system based on hierarchical stability rate can provide a major boost to the FBVANET's overall throughput and performance with reduced packet loss incidences. © 2024 IEEE.

关键词： Traffic congestion

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Advanced Construction Materials Based on Concrete to Protect the Living Space from Non-Ionizing Radiation 1

引用

32nd International Conference on Organization and technology of Maintenance, OTO 2023

作者： Mandrić, Vanja Rupčić, Slavko Vinko, Davor Dominković, Ivica Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia

ISBN: (数字)9783031514944

ISBN: (纸本)9783031514937

This paper presents measurements of the reflection and transmission coefficient of electromagnetic waves through concrete and two concrete-based composites: concrete with steel fibers and concrete with carbon fibers with the aim of enhancing the attenuation of electromagnetic waves passing through concrete and concrete composites. The frequency range for which the measurements were carried out extends from 30 MHz to 18 GHz and includes most of the existing stationary (and mobile) radiation EM sources in the environment in which the general population moves (FM, DVBT2, 2G - 5G mobile radio systems, stationary radar border area control systems). The measurement results show that as the thickness of the concrete increases, the transmission through concrete and concrete composites decreases (parameter S12 decreases). Furthermore, composites with carbon fibers partially reduce, while those with steel fibers significantly reduce, the transmission of EM waves through such composites. The reduction of parameter S12 by composites with steel is up to 52 dB (at a frequency of 2.9 GHz) for a block thickness of 100 mm. It is important to emphasize that in the case of composites with steel fibers, the influence of the fibers on the transmission parameters is more significant than the thickness of the sample. The reason for this is the increase in electrical conductivity of composites with steel fibers due to the increased proportion of conductive components in the concrete. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Steel fibers

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Lightweight Deep Learning-Based Network Traffic Classification Using Explainable Artificial Intelligence

Lightweight Deep Learning-Based Network Traffic Classificati...

引用

2024 IEEE International Conference on Computing, ICOCO 2024

作者： Haris, Afif Haziq Ariffin, Azizi Zaki, Faiz Anuar, Nor Badrul Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur Malaysia

ISBN: (纸本)9798331530303

To address the growing demand for internet usage and connected devices, it is essential to implement robust Network Traffic Classification (NTC) methods that guarantee network security and optimised resource utilisation. Deep learning approaches are continuously gaining traction due to their capabilities in learning complex network traffic patterns and effective classification. However, the performance of deep learning (DL) approaches comes with the cost of huge computational resources that struggle to perform under a resource-constrained environment. Therefore, this study proposes enhancing DL-based NTC by integrating an Explainable Artificial Intelligence (XAI) technique, the Shapley Additive exPlanations (SHAP), to identify and select the most important features. This study leverages the explainability of XAI to enhance model performance and optimise resource utilisation through feature selection. To evaluate the selected features, this paper compares three algorithms, which are Convolutional Neural Networks (CNN), Multi-Layer Perceptron (MLP), and Gated Recurrent Units (GRU), using the ISCXVPN2016 dataset on an NVIDIA Tesla T4. The result shows a 12.42%, 10.72%, and 10.23% decrease in RAM usage for MLP, CNN, and GRU, respectively, while reducing the GPU memory usage by 6% and an improvement up to 4.99% F1-score compared to the state-of-the-art. ©2024 IEEE.

关键词： Adversarial machine learning

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Underwater Image Enhancement Based on Color Compensation and White Balance

Underwater Image Enhancement Based on Color Compensation and...

引用

2024 International of Seminar on Application for technology of information and Communication, iSemantic 2024

作者： Kurniawan, Mirza Yogy Soeleman, M. Arief Andono, Pulung Nurtantio Shidik, Guruh Fajar Fanani, Ahmad Zainul Department of Computer Science Semarang Indonesia Faculty of Information Technology Banjarmasin Indonesia

ISBN: (纸本)9798350366648

Ensuring color accuracy is essential when processing underwater images of coral reefs. These images often suffer from color distortion and blurring due to absorption and scattering. Current trends in underwater color correction focus on mitigating these distortions, as well as addressing non-uniform illumination that leads to artifacts and reduced visibility and contrast. Effective techniques include color compensation for the red channel alone or both the red and blue channels simultaneously. On the color compensated image, the Grayworld and CLAHE methods were applied to compare the results. Evaluations using PSNR, UCIQE, and UIQM metrics confirm that such color compensation techniques significantly enhance the quality of underwater images. It was found that grayworld is able to restore the original color for greenish and yellowish images, while CLAHE can improve dull images. © 2024 IEEE.

关键词： Underwater imaging

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Transmission of Electromagnetic Waves Through a Clay Material 1

引用

32nd International Conference on Organization and technology of Maintenance, OTO 2023

作者： Mandrić, Vanja Rupčić, Slavko Vinko, Davor Bilandžija, Domagoj Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia

ISBN: (数字)9783031514944

ISBN: (纸本)9783031514937

This paper deals with the simulation calculation of transmission (S21) and reflection (S22) parameters in a material parametrically based on clay (brick). The electromagnetic parameters of the clay that are the subject of the study are: relative permittivity Εr, loss tangent tan δ and electrical conductivity σ, while the only structural parameter is the thickness d of the sample. The values of all considered parameters are within the range of data from available literature and values that could occur due to external causes (e. g. an increase in clay moisture leads to an increase in electrical conductivity). The simulation model was carried out with the software tool ANSYS HFSS and validated with a laboratory measurement model. The laboratory model consists of a circular waveguide with an inner diameter of 150 mm and a total length of 700 mm, which is excited by 52 mm long probes placed 50 mm from the last wall of the waveguide. The lower cut-off frequency of this measurement system is 1.173 GHz, so all results (simulation and measurement) are limited by this lower cut-off frequency of the waveguide. All simulation calculations were performed for three clay sample thicknesses: 18 mm, 36 mm and 54 mm. These calculations were made with the aim of determining brick composites that have high attenuation of electromagnetic EM waves (low transmission parameter and high reflection parameter) in order to reduce the strength of EM fields inside the object made of such bricks. The measured results were used to verify the simulation model. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Circular waveguides

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Hybrid Approach for Procedural Level Generation for 2D Platformer Game

Hybrid Approach for Procedural Level Generation for 2D Platf...

引用

2024 Beyond technology Summit on Informatics International Conference, BTS-I2C 2024

作者： Tarigan, Jos Timanta Sukku, Erick Yudha Pratama Hardi, Sri Melvani Universitas Sumatera Utara Faculty of Computer Science and Information Technology Medan Indonesia

ISBN: (纸本)9798331508579

This research proposes a hybrid approach for a procedural level generation for our 2D platformer game. The method integrates manual level creation and procedural algorithm to generate a complete level for 2D rouge-like platformer game including the overall structure of the level, corridors, enemies, obstacles, and items. The proposed method also allowed user-input parameters that define requirement for the level such as difficulty, room numbers, enemy and item spawn probability. We developed the proposed method and implemented the system in our game, Lost Labyrinth Rouge's Odyssey. We implemented the system specifically to fit the mechanic and rules of our game. To test the performance of the system to develop a level, we performed a usability test by inviting users to play the game multiple times. The result and feedback from the respondents show that most the system was able to generate a good playability for a 2D platformer dungeon game. © 2024 IEEE.

关键词： Game design

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