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Federated TD Learning in Heterogeneous Environments with Average Rewards: A Two-timescale Approach with Polyak-Ruppert Averaging 63

Federated TD Learning in Heterogeneous Environments with Ave...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Naskar, Ankur Thoppe, Gugan Koochakzadeh, Abbasali Gupta, Vijay Indian Institute of Science Dept. of Computer Science and Automation Bengaluru India Purdue University Dept. of Electrical and Computer Engineering IN United States

ISBN: (纸本)9798350316339

Federated Reinforcement Learning (FRL) provides a promising way to speedup training in reinforcement learning using multiple edge devices that can operate in parallel. Recently, it has been shown that even when these edge devices have access to different dynamic models, an optimal convergence rate that has a linear speedup proportional to the number of devices is achievable. However, this result requires that the stepsize in the algorithm be chosen in a manner dependent on the unknown model parameters. Also, it applies only to a discounted setting, which has been argued to fit episodic tasks better than continuing control tasks. In this paper, we obtain finite-time bounds for heterogeneous FRL with average rewards. We show that the optimal convergence rate with a linear speedup is possible even with a universal stepsize choice, independent of the underlying dynamics. To achieve our result, we modify the existing one-timescale FRL method to a novel two-timescale variant that additionally incorporates iterate averaging. © 2024 IEEE.

关键词： Federated learning

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A Deep Learning Model for More Descriptive Image Captioning

A Deep Learning Model for More Descriptive Image Captioning

引用

2024 International Conference on Decision Aid Sciences and Applications, DASA 2024

作者： Doner, Tunahan Kaya, Buket Firat University Dept. of Computer Engineering Elazig Turkey Firat University Dept. of Electronics and Automation Elazig Turkey

ISBN: (纸本)9798350369106

Describing images with natural and fluent sentences is recognized as a challenging problem in computer vision and natural language processing. The limited number of studies in this area, especially in the Turkish language, and the fact that the existing datasets usually contain generalized descriptions made this research necessary. In this study, a rich dataset in Turkish language was created and this dataset was developed by optimizing both the natural structure of the language and the sentence lengths. An accuracy rate of 36% was achieved in the training process and 31% in the testing process. As a result, the generated dataset aims to contribute to Turkish image recognition models to produce more natural and detailed sentences. © 2024 IEEE.

关键词： Modeling languages

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Contrastive Self-Supervised Learning for Cocoa Disease Classification 10

Contrastive Self-Supervised Learning for Cocoa Disease Class...

引用

10th International Conference on Smart Computing and Communication, ICSCC 2024

作者： Khalid, Usman Kaya, Buket Kaya, Mehmet Firat University Dept. of Computer Engineering Elaziǧ Turkey Firat University Dept. of Electronics and Automation Elaziǧ Turkey

ISBN: (纸本)9798350363104

Self-supervised learning has shown significant improvement within several disciplines including the health sectors and areas where acquisition of annotated data is difficult. This study focuses on the application of self-supervised learning in tackling cocoa disease detection and classification challenges by taking cocoa swollen shoot virus disease (CSSVD) and anthracnose. Self-supervised learning has proven to offer resilience against both OOD and adversarial attacks and as an alternative to the cost involved in the annotation process of the vast amount of data. This work leverages a contrastive self-supervised learning pretext model trained on cocoa leaves and pods, a remarkable performance was shown when we fine-tuned and pre-trained on a downstream task. Several works are being done on the subject of self-supervised learning and fully-supervised learning. In order to get the best out of these two techniques, we propose a hybrid approach which will combine both SLL and fully supervised learning. Thus in any deep learning project regardless of the amount of annotated dataset around, a pretext model should be developed from the dataset which can then be fined-tuned using the entire dataset at hand. Three models were developed and the best come in as a result of fine-tuning the learnt features using the entire dataset. After performing the downstream task (classification of cocoa diseases) a validation accuracy of 87%, 72% and 69% for the fine-tune, fully-supervised and pre-trained respectively were obtained. This approach holds promise for enhancing the productivity in crop management, particularly in regions like Ghana and Ivory Coast where their GDP relies on cocoa production © 2024 IEEE.

关键词： Self-supervised learning

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E-Mail Spam Detection Using BERT and LSTM

E-Mail Spam Detection Using BERT and LSTM

引用

2024 International Conference on Decision Aid Sciences and Applications, DASA 2024

作者： Erkus, Celal Kaya, Buket Firat University Dept. of Computer Engineering Elaziǧ Turkey Firat University Dept. of Electronics and Automation Elazig Turkey

ISBN: (纸本)9798350369106

The quick advancement of today's digital world and our daily reliance on the internet have a big impact on our lives. Especially in these days when automation is very easy, fraud and fraudulent activities against users have become quite common. One of the most common examples of these activities is fraud attempts through spam e-mails. Spam e-mails aim to hijack people's information, spread malware and defraud people by playing with their perceptions. Various spam detection methods and algorithms have been developed to prevent these problems. In this study, two models are proposed to detect spam e-mails using natural language processing (NLP) and deep learning methods: LSTM (Long Short Term Memory) and BERT (Bidirectional Encoder Representations from Transformers). As a result of the studies on the Enron e-mail dataset, the BERT model showed 98.93% accuracy and 98.87% f-score performance. The LSTM model showed 97.47% accuracy and f-score performance. With these results, it is seen that the BERT model detects spam with higher accuracy despite the complexity in language structures. © 2024 IEEE.

关键词： Deep learning

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Classification of brain ischemia and hemorrhagic stroke using a hybrid method 4

Classification of brain ischemia and hemorrhagic stroke usin...

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4th International Conference on Data Analytics for Business and Industry, ICDABI 2023

作者： Cinar, Necip Kaya, Buket Kaya, Mehmet Dicle University Dept. of Computer Engineering Diyabakir Turkey Firat University Dept. of Electronics and Automation Elaziǧ Turkey Firat University Dept. of Computer Engineering Elaziǧ Turkey

ISBN: (纸本)9798350369786

The availability of artificial intelligence applications has expanded with the development of extremely powerful computers. This speeds up the diagnosis of many ailments and allows for the application of effective treatments. This facilitates the work of numerous experts in the field of health, and more trustworthy outcomes are attained. Many researchers have started working in this topic as a result of how swiftly artificial intelligence has entered human life and the promising outcomes that have been obtained. The detection of brain strokes from CT images, which are the most prevalent in the world and a major threat to human life, is a field that is currently seeing a flurry of deep learning and machine learning-based approaches. This study attempted to distinguish between ischemic and hemorrhagic brain stroke types using CT images. Utilizing a hybrid methodology, multi-classification was carried out utilizing EfficientNetB0 and SVM model from ischemic, hemorrhagic, and normal brain CT images in our dataset. The purpose of this study is to demonstrate a higher classification performance by combining the feature extraction skills of deep learning networks with the classification capability of machine learning models. The ischemic, hemorrhagic, and normal CT images in our dataset were used to train the EfficientNet-B0 + SVM, EfficientNet-B0 + KNN, ResNet50 + SVM, ResNet50 + KNN, ResNet50, VGG19 + SVM, VGG19 + KNN, and VGG19 models. There was a triple classification. According to the study, the hybrid EfficientNet-B0 + SVM architecture had the highest load success rate. The model had 95.13%, 94.93, 95.06, and 94.94% accuracy, recall, precision, and F1 values, respectively. These findings demonstrated that the EfficientNet-B0 + SVM architecture is a highly effective method for classifying different types of brain strokes from CT images. © 2023 IEEE.

关键词： computerized tomography

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A New Method for One-Pedal Driving With Fuzzy-Based Efficiency-Optimization Algorithm

A New Method for One-Pedal Driving With Fuzzy-Based Efficien...

引用

2025 IEEE International Conference on Mechatronics, ICM 2025

作者： Heydrich, Marius Hammer, Tim Mitsching, Thomas Ivanov, Valentin Technische Universitä t Ilmenau Dept. of Computer Science and Automation Ilmenau Germany Technische Universitä t Ilmenau Dept. of Mechanical Engineering Ilmenau Germany

ISBN: (纸本)9798331533892

This paper presents a case study on adaptive one pedal driving for a battery electric sport utility vehicle with in wheel based rear-wheel drive that is able to adjust the drive pedal curve automatically. In addition, a fuzzy logic observes the state of the electric machines to adapt the motor torque to the most efficient region. The control method was tested in a co-simulation using a validated vehicle model and a driver-in-the-loop strategy. Within the experiments, an improvement in energy recovery of up to 4.8 % was achieved compared to the classic brake blending. In addition, the total number of brake pedal applications is ten times lower, which translates into less driving stress and greater driving comfort, especially on long distance trips, proving the effectiveness of the controller. © 2025 IEEE.

关键词： Vehicle wheels

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Using Mixed Reality for Development of Instruction for Industrial Unit Maintenance 24

Using Mixed Reality for Development of Instruction for Indus...

引用

24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023

作者： Denisov, Maxim O. Yakovina, Irina N. Burov, Ilya O. Novosibirsk State Technical University Dept. of Automation and Computer Engineering Novosibirsk Russia

ISBN: (纸本)9798350336870

In modern complex manufacturing always rely on skilled workers. But training new specialists in complex tasks is an actual problem. In virtual simulation training can be done multiple times and without life risk. Nevertheless, training on the computer is not the same as in the physical world. Blend both ways of training can Mixed Reality. In this paper one of the variants of developing application-instruction for industrial unit maintenance in the form of Mixed Reality application is shown in detail. Used instruments and platforms, where key components were created, are presented. Software structure of the application is described as well as implementation of The State Machine design pattern. This pattern was adapted for application needs, code snippets are shown. The application software was written in the C sharp programming language. The instruction is an immersive training for future specialists. Operator is following the steps of the instructions using the user interface - main virtual panel. Virtual panel design prototype, its features and realization in application are demonstrated. To create an interface related design task was solved including functional components. The connection between essential components is described. Operator's work in application is also demonstrated. © 2023 IEEE.

关键词： Machine design

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An Algorithm for Developing a Digital Twin Model of an Industrial Facility Segment 24

An Algorithm for Developing a Digital Twin Model of an Indus...

引用

24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023

作者： Karabanov, Dmitry O. Karabanova, Julia O. Yakovina, Irina N. Osipenko, Ivan V. Burov, Ilya O. Pronushkina, Anna N. Novosibirsk State Technical University Dept. of Automation and Computer Engineering Novosibirsk Russia

ISBN: (纸本)9798350336870

The article describes an algorithm for developing predictive models for a digital twin of a feedstock enrichment plant. The main results are summarized in this paper. The results obtained include: a generalized algorithm for the development of forecasting models, which can be used to create predictive models for digital twins using machine learning methods;the result of applying mathematical methods of preliminary selection of features for predictive models;the main results of the conducted experiments on the creation of predictive models based on linear regression without regularization, Lasso regression and random forest for regression;as well as predictive models obtained on a reduced feature space. The results of the experiments showed that the reducing number of features method taking into account the degree of their contribution to obtaining the predicted indicator, leads to a slight decrease in the quality of the model in accordance with the selected quality metrics;after screening out more than 70% of the initial features, it is possible to obtain interpreted models with a different composition of parameters and high accuracy. © 2023 IEEE.

关键词： E-learning

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Multi-Frequency State-Feedback Current Control for Active Power Filters

Multi-Frequency State-Feedback Current Control for Active Po...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Sánchez, Lidia Reigosa, David Nurminen, Tuure Mourouvin, Rayane Hinkkanen, Marko Briz, Fernando University of Oviedo Dept. of Elect. Computer & System Engineering Gijón33204 Spain Aalto University Dept. of Electrical Engineering and Automation Espoo02150 Finland

ISBN: (纸本)9798350376067

Feedback-based methods combining proportional-integral and/or resonant controllers are the most common option for Active Power Filter (APF) control. Alternatively to classical feedback-based control, state-feedback current control could be used, potentially enabling better dynamic performance. State-feedback current control has been previously proposed for grid-connected converters;however, reference tracking response of multiple harmonic components of the controlled current has not been reported. This is highly relevant to comply with grid codes. This paper analyses the design and implementation of state-feedback current control for harmonic current compensation in APFs. © 2024 IEEE.

关键词： Active filters

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Analysis of the PV Energy Potential in the Bulgarian Danube River Region between Ruse and Silistra 5

Analysis of the PV Energy Potential in the Bulgarian Danube ...

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5th IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2024

作者： Gabrovska-Evstatieva, Katerina Stoyanov, Ivaylo Kaneva, Tsvetelina Valov, Nikolay Tsankov, Vladimir Evstatiev, Boris Mihailov, Nicolay University of Ruse Dept. of Computer Science Ruse Bulgaria University of Ruse Dept. of Electric Power Engineering Ruse Bulgaria University of Ruse Dept. of Computer Systems and Technologies Ruse Bulgaria University of Ruse Dept. of Automation and Electronics Ruse Bulgaria

ISBN: (纸本)9798350352863

The goal of the study is to assess and compare the photovoltaic energy potential in the central-eastern part of the Bulgarian Danube region between the cities of Ruse and Silistra. To achieve this the solar radiation and the temperature of the environment should be obtained and analyzed. The goal of the study is to assess and compare the photovoltaic energy potential in the central-eastern part of the Bulgarian Danube region between the cities of Ruse and Silistra. To achieve this the solar radiation and the temperature of the environment should be obtained and analyzed. The goal of the study is to assess and compare the photovoltaic energy potential in the central-eastern part of the Bulgarian Danube region between the cities of Ruse and Silistra. To achieve this the solar radiation and the temperature of the environment should be obtained and analyzed. © 2024 IEEE.

关键词： Solar irradiance

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