Indronil Bhattacharjee | New Mexico State University (original) (raw)
Papers by Indronil Bhattacharjee
Technium, Nov 30, 2023
Handwritten digit recognition is a fundamental problem in the field of computer vision and patter... more Handwritten digit recognition is a fundamental problem in the field of computer vision and pattern recognition. This paper presents a Convolutional Neural Network (CNN) approach for recognizing handwritten Bangla digits. The proposed method utilizes a dataset of handwritten Bangla digit images and trains a CNN model to classify these digits accurately. The dataset is preprocessed to enhance the quality of the images and make them suitable for training the CNN model. The trained model is then tested on a separate test dataset to evaluate its performance in terms of accuracy. With the Ekush: Bangla Handwritten Data-Numerals dataset, we tested our CNN implementation to determine the precision of handwritten characters. According to the test results, 25% of the images using a training set of more than 150,000 images from Ekush dataset had an accuracy of 98.3%.
2019 4th International Conference on Electrical Information and Communication Technology (EICT), 2019
Stock market is one of the most important sectors of a country's economy. Prediction of stock... more Stock market is one of the most important sectors of a country's economy. Prediction of stock prices is not easy since it is not stationary in nature. The objective of this paper is to find the best possible method to predict the closing prices of stocks through a comparative study between different traditional statistical approaches and machine learning techniques. Predictions using statistical methods like Simple Moving Average, Weighted Moving Average, Exponential Smoothing, Naive approach, and machine learning methods like Linear Regression, Lasso, Ridge, K-Nearest Neighbors, Support Vector Machine, Random Forest, Single Layer Perceptron, Multi-layer Perceptron, Long Short Term Memory are performed. Moreover, a comparative study between statistical approaches and machine learning approaches has been done in terms of prediction performances and accuracy. After studying all the methods individually, the machine learning approach, especially the neural network models are found to be the most accurate for stock price prediction.
Technium: Romanian Journal of Applied Sciences and Technology (ISSN: 2668-778X), 2023
Handwritten digit recognition is a fundamental problem in the field of computer vision and patter... more Handwritten digit recognition is a fundamental problem in the field of computer vision and pattern recognition. This paper presents a Convolutional Neural Network (CNN) approach for recognizing handwritten Bangla digits. The proposed method utilizes a dataset of handwritten Bangla digit images and trains a CNN model to classify these digits accurately. The dataset is preprocessed to enhance the quality of the images and make them suitable for training the CNN model. The trained model is then tested on a separate test dataset to evaluate its performance in terms of accuracy. With the Ekush: Bangla Handwritten Data - Numerals dataset, we tested our CNN implementation to determine the precision of handwritten characters. According to the test results, 25% of the images using a training set of more than 150,000 images from Ekush dataset had an accuracy of 98.3%.
An online business platform. Now that's a complicated process to organize. An e-commerce ... more An online business platform. Now that's a complicated process to organize. An e-commerce website provides shoppers with a high-tech interface (the front-office, or front-end) for them to browse the online store seamlessly in order to convert them easily into customers. This includes choosing one or several items, adding them to the cart, choosing their favorite delivery options, paying and so on. It also provides the merchant with the back-office (or back-end) that is going to help them organize their catalog, manage their sales, their stock, accounting, etc.
Diabetic Retinopathy is one of the common eye diseases and is a diabetes complication that affect... more Diabetic Retinopathy is one of the common eye diseases and is a diabetes complication that affects eyes. Diabetic retinopathy may cause no symptoms or only mild vision problems. Eventually, it can cause blindness. So early detection of symptoms could help to avoid blindness. In this thesis, we present some experiments on some features of Diabetic Retinopathy like properties of exudates, properties of blood vessels and properties of microaneurysm. Using the features, we can classify healthy, mild non-proliferative, moderate non-proliferative, severe non-proliferative and proliferative stage of DR. Support Vector Machine, Random Forest and Naive Bayes classifiers are used to classify the stages. Finally, Random Forest is found to be the best for higher accuracy, sensitivity and specificity of 76.5%, 77.2% and 93.3% respectively.
2019 4th International Conference on Electrical Information and Communication Technology (EICT)
Stock market is one of the most important sectors of a country's economy. Prediction of stock... more Stock market is one of the most important sectors of a country's economy. Prediction of stock prices is not easy since it is not stationary in nature. The objective of this paper is to find the best possible method to predict the closing prices of stocks through a comparative study between different traditional statistical approaches and machine learning techniques. Predictions using statistical methods like Simple Moving Average, Weighted Moving Average, Exponential Smoothing, Naive approach, and machine learning methods like Linear Regression, Lasso, Ridge, K-Nearest Neighbors, Support Vector Machine, Random Forest, Single Layer Perceptron, Multi-layer Perceptron, Long Short Term Memory are performed. Moreover, a comparative study between statistical approaches and machine learning approaches has been done in terms of prediction performances and accuracy. After studying all the methods individually, the machine learning approach, especially the neural network models are found to be the most accurate for stock price prediction.
CSE 3200: System Development Project, 2018
An online business platform. Now that's a complicated process to organize. An e-commerce website ... more An online business platform. Now that's a complicated process to organize. An e-commerce website provides shoppers with a high-tech interface (the front-office, or front-end) for them to browse the online store seamlessly in order to convert them easily into customers. This includes choosing one or several items, adding them to the cart, choosing their favorite delivery options, paying and so on. It also provides the merchant with the back-office (or back-end) that is going to help them organize their catalog, manage their sales, their stock, accounting, etc.
International Conference on Advanced Engineering, Technology and Applications (ICAETA-2021), Jul 9, 2021
Diabetic Retinopathy is one of the most familiar diseases and is a diabetes complication that aff... more Diabetic Retinopathy is one of the most familiar diseases and is a diabetes complication that affects eyes. Initially diabetic retinopathy may cause no symptoms or only mild vision problems. Eventually, it can cause blindness. So early detection of symptoms could help to avoid blindness. In this paper, we present some experiments on some features of Diabetic Retinopathy like properties of exudates, properties of blood vessels and properties of microaneurysm. Using the features, we can classify healthy, mild non-proliferative, moderate non-proliferative, severe non-proliferative and proliferative stage of DR. Support Vector Machine, Random Forest and Naive Bayes classifiers are used to classify the stages. Finally, Random Forest is found to be the best for higher accuracy, sensitivity and specificity of 76.5%, 77.2% and 93.3% respectively.
IEEE 4th International Conference on Electrical Information and Communication Technology (EICT), 2019
Stock market is one of the most important sectors of a country's economy. Prediction of stock pri... more Stock market is one of the most important sectors of a country's economy. Prediction of stock prices is not easy since it is not stationary in nature. The objective of this paper is to find the best possible method to predict the closing prices of stocks through a comparative study between different traditional statistical approaches and machine learning techniques. Predictions using statistical methods like Simple Moving Average, Weighted Moving Average, Exponential Smoothing, Naive approach, and machine learning methods like Linear Regression, Lasso, Ridge, K-Nearest Neighbors, Support Vector Machine, Random Forest, Single Layer Perceptron, Multi-layer Perceptron, Long Short Term Memory are performed. Moreover, a comparative study between statistical approaches and machine learning approaches has been done in terms of prediction performances and accuracy. After studying all the methods individually, the machine learning approach, especially the neural network models are found to be the most accurate for stock price prediction.
Thesis Chapters by Indronil Bhattacharjee
Thesis for Bachelor of Science in Computer Science & Engineering, 2020
Diabetic Retinopathy is one of the common eye diseases and is a diabetes complication that affect... more Diabetic Retinopathy is one of the common eye diseases and is a diabetes complication that affects eyes. Diabetic retinopathy may cause no symptoms or only mild vision problems. Eventually, it can cause blindness. So early detection of symptoms could help to avoid blindness. In this thesis, we present some experiments on some features of Diabetic Retinopathy like properties of exudates, properties of blood vessels and properties of microaneurysm. Using the features, we can classify healthy, mild non-proliferative, moderate non-proliferative, severe non-proliferative and proliferative stage of DR. Support Vector Machine, Random Forest and Naive Bayes classifiers are used to classify the stages. Finally, Random Forest is found to be the best for higher accuracy, sensitivity and specificity of 76.5%, 77.2% and 93.3% respectively.
Technium, Nov 30, 2023
Handwritten digit recognition is a fundamental problem in the field of computer vision and patter... more Handwritten digit recognition is a fundamental problem in the field of computer vision and pattern recognition. This paper presents a Convolutional Neural Network (CNN) approach for recognizing handwritten Bangla digits. The proposed method utilizes a dataset of handwritten Bangla digit images and trains a CNN model to classify these digits accurately. The dataset is preprocessed to enhance the quality of the images and make them suitable for training the CNN model. The trained model is then tested on a separate test dataset to evaluate its performance in terms of accuracy. With the Ekush: Bangla Handwritten Data-Numerals dataset, we tested our CNN implementation to determine the precision of handwritten characters. According to the test results, 25% of the images using a training set of more than 150,000 images from Ekush dataset had an accuracy of 98.3%.
2019 4th International Conference on Electrical Information and Communication Technology (EICT), 2019
Stock market is one of the most important sectors of a country's economy. Prediction of stock... more Stock market is one of the most important sectors of a country's economy. Prediction of stock prices is not easy since it is not stationary in nature. The objective of this paper is to find the best possible method to predict the closing prices of stocks through a comparative study between different traditional statistical approaches and machine learning techniques. Predictions using statistical methods like Simple Moving Average, Weighted Moving Average, Exponential Smoothing, Naive approach, and machine learning methods like Linear Regression, Lasso, Ridge, K-Nearest Neighbors, Support Vector Machine, Random Forest, Single Layer Perceptron, Multi-layer Perceptron, Long Short Term Memory are performed. Moreover, a comparative study between statistical approaches and machine learning approaches has been done in terms of prediction performances and accuracy. After studying all the methods individually, the machine learning approach, especially the neural network models are found to be the most accurate for stock price prediction.
Technium: Romanian Journal of Applied Sciences and Technology (ISSN: 2668-778X), 2023
Handwritten digit recognition is a fundamental problem in the field of computer vision and patter... more Handwritten digit recognition is a fundamental problem in the field of computer vision and pattern recognition. This paper presents a Convolutional Neural Network (CNN) approach for recognizing handwritten Bangla digits. The proposed method utilizes a dataset of handwritten Bangla digit images and trains a CNN model to classify these digits accurately. The dataset is preprocessed to enhance the quality of the images and make them suitable for training the CNN model. The trained model is then tested on a separate test dataset to evaluate its performance in terms of accuracy. With the Ekush: Bangla Handwritten Data - Numerals dataset, we tested our CNN implementation to determine the precision of handwritten characters. According to the test results, 25% of the images using a training set of more than 150,000 images from Ekush dataset had an accuracy of 98.3%.
An online business platform. Now that's a complicated process to organize. An e-commerce ... more An online business platform. Now that's a complicated process to organize. An e-commerce website provides shoppers with a high-tech interface (the front-office, or front-end) for them to browse the online store seamlessly in order to convert them easily into customers. This includes choosing one or several items, adding them to the cart, choosing their favorite delivery options, paying and so on. It also provides the merchant with the back-office (or back-end) that is going to help them organize their catalog, manage their sales, their stock, accounting, etc.
Diabetic Retinopathy is one of the common eye diseases and is a diabetes complication that affect... more Diabetic Retinopathy is one of the common eye diseases and is a diabetes complication that affects eyes. Diabetic retinopathy may cause no symptoms or only mild vision problems. Eventually, it can cause blindness. So early detection of symptoms could help to avoid blindness. In this thesis, we present some experiments on some features of Diabetic Retinopathy like properties of exudates, properties of blood vessels and properties of microaneurysm. Using the features, we can classify healthy, mild non-proliferative, moderate non-proliferative, severe non-proliferative and proliferative stage of DR. Support Vector Machine, Random Forest and Naive Bayes classifiers are used to classify the stages. Finally, Random Forest is found to be the best for higher accuracy, sensitivity and specificity of 76.5%, 77.2% and 93.3% respectively.
2019 4th International Conference on Electrical Information and Communication Technology (EICT)
Stock market is one of the most important sectors of a country's economy. Prediction of stock... more Stock market is one of the most important sectors of a country's economy. Prediction of stock prices is not easy since it is not stationary in nature. The objective of this paper is to find the best possible method to predict the closing prices of stocks through a comparative study between different traditional statistical approaches and machine learning techniques. Predictions using statistical methods like Simple Moving Average, Weighted Moving Average, Exponential Smoothing, Naive approach, and machine learning methods like Linear Regression, Lasso, Ridge, K-Nearest Neighbors, Support Vector Machine, Random Forest, Single Layer Perceptron, Multi-layer Perceptron, Long Short Term Memory are performed. Moreover, a comparative study between statistical approaches and machine learning approaches has been done in terms of prediction performances and accuracy. After studying all the methods individually, the machine learning approach, especially the neural network models are found to be the most accurate for stock price prediction.
CSE 3200: System Development Project, 2018
An online business platform. Now that's a complicated process to organize. An e-commerce website ... more An online business platform. Now that's a complicated process to organize. An e-commerce website provides shoppers with a high-tech interface (the front-office, or front-end) for them to browse the online store seamlessly in order to convert them easily into customers. This includes choosing one or several items, adding them to the cart, choosing their favorite delivery options, paying and so on. It also provides the merchant with the back-office (or back-end) that is going to help them organize their catalog, manage their sales, their stock, accounting, etc.
International Conference on Advanced Engineering, Technology and Applications (ICAETA-2021), Jul 9, 2021
Diabetic Retinopathy is one of the most familiar diseases and is a diabetes complication that aff... more Diabetic Retinopathy is one of the most familiar diseases and is a diabetes complication that affects eyes. Initially diabetic retinopathy may cause no symptoms or only mild vision problems. Eventually, it can cause blindness. So early detection of symptoms could help to avoid blindness. In this paper, we present some experiments on some features of Diabetic Retinopathy like properties of exudates, properties of blood vessels and properties of microaneurysm. Using the features, we can classify healthy, mild non-proliferative, moderate non-proliferative, severe non-proliferative and proliferative stage of DR. Support Vector Machine, Random Forest and Naive Bayes classifiers are used to classify the stages. Finally, Random Forest is found to be the best for higher accuracy, sensitivity and specificity of 76.5%, 77.2% and 93.3% respectively.
IEEE 4th International Conference on Electrical Information and Communication Technology (EICT), 2019
Stock market is one of the most important sectors of a country's economy. Prediction of stock pri... more Stock market is one of the most important sectors of a country's economy. Prediction of stock prices is not easy since it is not stationary in nature. The objective of this paper is to find the best possible method to predict the closing prices of stocks through a comparative study between different traditional statistical approaches and machine learning techniques. Predictions using statistical methods like Simple Moving Average, Weighted Moving Average, Exponential Smoothing, Naive approach, and machine learning methods like Linear Regression, Lasso, Ridge, K-Nearest Neighbors, Support Vector Machine, Random Forest, Single Layer Perceptron, Multi-layer Perceptron, Long Short Term Memory are performed. Moreover, a comparative study between statistical approaches and machine learning approaches has been done in terms of prediction performances and accuracy. After studying all the methods individually, the machine learning approach, especially the neural network models are found to be the most accurate for stock price prediction.
Thesis for Bachelor of Science in Computer Science & Engineering, 2020
Diabetic Retinopathy is one of the common eye diseases and is a diabetes complication that affect... more Diabetic Retinopathy is one of the common eye diseases and is a diabetes complication that affects eyes. Diabetic retinopathy may cause no symptoms or only mild vision problems. Eventually, it can cause blindness. So early detection of symptoms could help to avoid blindness. In this thesis, we present some experiments on some features of Diabetic Retinopathy like properties of exudates, properties of blood vessels and properties of microaneurysm. Using the features, we can classify healthy, mild non-proliferative, moderate non-proliferative, severe non-proliferative and proliferative stage of DR. Support Vector Machine, Random Forest and Naive Bayes classifiers are used to classify the stages. Finally, Random Forest is found to be the best for higher accuracy, sensitivity and specificity of 76.5%, 77.2% and 93.3% respectively.