Machine Learning Based Online Handwritten Telugu Letters Recognition for Different Domains

Babu, B. Sankara; Nalajala, Sunanda; Sarada, K.; Naidu, Viswanatha; Yamsani, Nagendar; Saikumar, K.

doi:10.1007/978-3-030-76653-5_12

Cited by 32 publications

(11 citation statements)

References 21 publications

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“…Author [18] presented text classification algorithms for various applications and explores the use of machine learning in detecting phishing attacks. Authors [19] discussed the use of machine learning and neural networks, especially CNN, for recognizing handwriting patterns, with a focus on Telugu film industry names, achieving high accuracy (98.3%). Demonstrated the effectiveness of their method in real-world applications [3] Handling Gaussian blur without deconvolution by using the second-order statistics of an image…”

Section: Existing Methodsmentioning

confidence: 99%

Deep Learning based Automated Image Deblurring

Shruthi,

Ramachandra Anirudh,

Bhargava Rao

et al. 2023

E3S Web Conf.

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Image deblurring is a challenging task that aims to restore a sharp and clear image from a blurred one. This problem is usually caused by camera motion or defocus blur. The objective of this paper is to develop a model that can effectively remove Gaussian blur from an image and improve its quality using deep learning techniques. Automated image deblurring is achieved using deep learning, this approach involves implementing a combination of convolutional neural networks (CNN) and simple auto encoders to train the model on a dataset of blurred and corresponding sharp images. The model is then used to deblur the test images and improve their quality. The paper uses a dataset of blurred and corresponding sharp images to train the model, and the performance of the model is evaluated based on metrics such as PSNR and SSIM. The results and discussions focus on the effectiveness of the model in removing Gaussian blur and improving the quality of the images. In conclusion, the paper demonstrates the effectiveness of using deep learning techniques for image deblurring and provides scope for future enhancements such as incorporating more complex models and exploring other types of blur removal techniques.

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Section: Existing Methodsmentioning

confidence: 99%

Deep Learning based Automated Image Deblurring

Shruthi,

Ramachandra Anirudh,

Bhargava Rao

et al. 2023

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…The present work explores sentiment analysis architecture and tools for user-friendly opinion mining [9]. Authors [10] discussed the use of machine learning and neural networks, especially CNN, for recognizing handwriting patterns, with a focus on Telugu film industry names, achieving high accuracy (98.3%). Authors [11] presented data-driven prediction techniques, namely, ARIMA and LSTM to forecast COVID-19 cases and deaths.…”

Section: Existing Methodsmentioning

confidence: 99%

Automated Cricket Score Prediction

Sanjeeva,

Ajith Varma,

Sathvik

et al. 2023

E3S Web Conf.

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Cricket is a popular sport that involves a high degree of variability in terms of game conditions and player performance. The ability to accurately predict cricket scores could provide valuable insights for coaches, analysts, and fans, as well as offer opportunities for sports betting and fantasy games. This paper explores the use of machine learning techniques to predict cricket scores based on a variety of contextual and historical factors. The publicly available cricket dataset is used to build and evaluate several regression models that predict the total runs scored by a team in a limited-overs cricket match. This analysis includes feature engineering to extract and transform relevant input variables, model selection to compare and choose among different regression algorithms, and performance evaluation to assess the accuracy and robustness of the models. This paper also conducts sensitivity analysis to identify the most influential predictors and explore the potential biases and limitations of the models. The results indicate that machine learning techniques can effectively predict cricket scores and provide valuable insights into the factors that contribute to team performance. Automated cricket prediction is useful for cricket teams, coaches, and analysts who seek to improve their game strategies and player selection, as well as for sports betting and fantasy game platforms that seek to provide more accurate experiences for users.

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“…While each approach has advantages and disadvantages of its own, understanding how well they perform in contrast is crucial when deciding whether to develop infrastructure or embrace EVs. This comparison research aims to evaluate the interoperability, cost, efficiency, and convenience of wireless and wired charging systems [27].…”

Section: Related Workmentioning

confidence: 99%

V2G Nonlinear Connection in EV’s for Wireless and Sustainable Mobility with Support of Machine Learning

Sudeepthi Govathoti

2024

cana

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In order to achieve reliable, rapid, and affordable charging solutions, this study examines the several approaches and strategies used in electric vehicle wireless charging systems. Wireless charging offers an eco-friendly and user-friendly alternative to standard cable systems by doing away with the need for physical connections. In the first section of the review, presented below are the numerous modes of wireless power transfer, with an emphasis on the inductive & capacitive methods. Next, the essay delves into the several kinds of electric vehicle wireless charging systems, including mobile and static alternatives, and how they are categorised. Noteworthy to this research is its examination of dynamic charging systems' standard model and design characteristics, which enable wireless charging in moving vehicles. It also shows how important control system features are for effective power transmission and communication between charging receiver and transmitter parts. In addition to reviewing various battery models and comparing various types of batteries, the article acknowledges the crucial function that batteries play in electric vehicles and highlights how they affect the parameters of the charging system. Finally, the paper delves into a discussion of its findings and makes suggestions for further research in this area.

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Machine Learning Based Online Handwritten Telugu Letters Recognition for Different Domains

Cited by 32 publications

References 21 publications

Deep Learning based Automated Image Deblurring

Deep Learning based Automated Image Deblurring

Automated Cricket Score Prediction

V2G Nonlinear Connection in EV’s for Wireless and Sustainable Mobility with Support of Machine Learning

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