Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Biswas, Sunanda, Sarkar, Spandan, Islam, MD. Manazir
مؤلفون آخرون:	Md. Saiful Islam
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2022
الموضوعات:	Deep learning Linear regression Long short term memory Multi-layer perceptron Emission factors Machine learning Cognitive learning theory (Deep learning)
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/16364

مواد مشابهة

A modern technique to detect potholes by Computer Vision and Deep Learning
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Utilizing machine learning to project the nancial outcomes of reconnecting with potential customers of the same industry
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Classification of peripheral blood cell images using deep learning
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Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
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An efficient deep learning approach to detect skin Cancer
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Application of CNN based architectures in detection of distracted drivers
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منشور في: (2023)

Damaged road detection using Image Processing and Deep Learning
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Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
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An interpretable transformer based approach to classify Malaria from blood cell images
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Facial expression recognition: convolutional attentional masking network and ensemble approach
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Corn leaf disease detection using deep convolution neural network
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Predicting crime using deep learning
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Sentiment analysis on Bangladesh airlines review data using machine learning
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Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
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Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
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Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
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DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
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Health trauma and well-being assistant for Bengali seniors in household: a multimodal approach
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Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
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Implementation of real-time learning on homomorphically encrypted visual inputs
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Deep learning-based real-time pothole detection for avoiding road accident
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Empowering mobile network planning through deep learning: a path to democratization
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Visual object classification from fMRI data
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Traffic sign recognition using deep learning
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Shield key: a deep learning process for the generation of public & private keys using hybrid architecture in blockchain
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Document template identification and data extraction using machine learning and deep learning approach
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Prostate cancer detection using deep learning neural network with transfer learning approach
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Yoga posture recognition using the deep learning process
بواسطة: Islam, Abidul, وآخرون
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Skin disease detection and classification using deep learning
بواسطة: Shuvon, Mehedi Hasan, وآخرون
منشور في: (2022)

An active-learning based training-schedule for biomedical image segmentation on deep neural networks
بواسطة: Hassan, Mehadi, وآخرون
منشور في: (2021)

A deep learning approach towards soft biometrics attributes prediction using CNN
بواسطة: Kibria, Maharab, وآخرون
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A deep dive into node-level analysis with fusion RNN model for smart LTE network monitoring
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Comparative analysis and implementation of credit risk prediction through distinct machine learning models
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Fortifying federated learning: security against model poisoning attacks
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Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
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Federated ensemble-learning for transport mode detection in vehicular edge network
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Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
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Deep learning-based waste classification system for efficient waste management
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UI development and functionality testing automation in android application
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An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
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