Classification of arsenic contamination in water using Machine learning

Classification of arsenic contamination in water using Machine learning

Cataloged from PDF version of thesis report.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Leon, Yeasir Hossain, Mosharrof, Adib
مؤلفون آخرون:	Rahman, Mohammad Zahidur
التنسيق:	أطروحة
اللغة:	English
منشور في:	BRAC University 2014
الموضوعات:	Computer science and engineering
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/2940

مواد مشابهة

Arsenic contamination : Bangladesh perspective /
منشور في: (2003)

Arsenic contamination of groundwater in Bangladesh /
منشور في: (2001)

Arsenic contamination of groundwater in Bangladesh /
منشور في: (2001)

Arsenic contamination of groundwater in Bangladesh /
منشور في: (2001)

Arsenic contamination of groundwater in Bangladesh /
منشور في: (2001)

Text classification using machine learning algorithms
بواسطة: Hasnat, Fahim, وآخرون
منشور في: (2018)

Status of arsenic test and exposure to arsenic-contaminated tubewell water: a population-based study in Southern Bangladesh
بواسطة: Dey, Nepal C, وآخرون
منشور في: (2019)

A study on development of an arsenic test kit and some arsenic contamination issues /
بواسطة: Khair, Abul
منشور في: (2003)

Lung cancer detection and classification using machine learning
بواسطة: Arefin, Mahbubul, وآخرون
منشور في: (2023)

Geogenic arsenic and Microbial contamination in drinking water sources: Exposure risks to the coastal population in Bangladesh
بواسطة: Saha, Ratnajit, وآخرون
منشور في: (2022)

Bangla text classification using machine learning and deep learning techniques
بواسطة: Salehin, Kamrus, وآخرون
منشور في: (2021)

Using sentiment analysis & machine learning for security price forecasting
بواسطة: Roy, Jyotirmoy, وآخرون
منشور في: (2016)

Heart disease prediction using techniques of classification in machine learning
بواسطة: Afrose, Sadia, وآخرون
منشور في: (2021)

Interpretable Bangla fake news classification using BERT and traditional machine learning approaches
بواسطة: Anan, Ramisa, وآخرون
منشور في: (2023)

Diabetic retinopathy detection and classification by using deep learning
بواسطة: Hossain, Shahriar, وآخرون
منشور في: (2022)

Daily arsenic contamination associated with Gestational diabetes mellitus and neonatal outcome
بواسطة: Sinthi, Nudrat Ansari
منشور في: (2016)

Machine learning engineering /
بواسطة: Burkov, Andriy
منشور في: (2020)

Comparative study of toxic comments classification using machine learning algorithms
بواسطة: Razzak, Razia, وآخرون
منشور في: (2021)

Learning computer programming using e-learning as a tool
بواسطة: Alam, Asharf, وآخرون
منشور في: (2010)

Gene classification and pattern analysis using data mining and machine learning techniques
بواسطة: Ramisa, Aiman Jabeen, وآخرون
منشور في: (2021)

Sound classification using deep learning for hard of hearing and deaf people
بواسطة: Habib, Md.Adnan, وآخرون
منشور في: (2022)

Performance analysis of machine learning algorithms for Malware classification
بواسطة: Bushra, Raisa Hasan, وآخرون
منشور في: (2023)

The use of alternative safe water option to mitigate the arsenic problem in Bangladesh : community perspective /
بواسطة: Jakariya, Md
منشور في: (2003)

The use of alternative safe water option to mitigate the arsenic problem in Bangladesh : community perspective /
بواسطة: Jakariya, Md
منشور في: (2003)

Using machine learning on a diverse class of problems : from rainfall to criminal actions
بواسطة: Munira, Sirajum, وآخرون
منشور في: (2016)

A Review of groundwater arsenic contamination in Bangladesh: the millennium development goal era and beyond
بواسطة: Md. Yunus, Fakir, وآخرون
منشور في: (2016)

A study of malware classification using deep learning
بواسطة: Rahman, Mohammad Muhibur, وآخرون
منشور في: (2024)

Analysis and manipulation of the data set obtained from the study of pre-primary education development using machine learning
بواسطة: Khan, Sushmita Laila, وآخرون
منشور في: (2014)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
بواسطة: Tasnim, Anika, وآخرون
منشور في: (2022)

Depression classification with MDD (Major Depressive Disorder) using signal processing and machine learning
بواسطة: Saleque, Shahriar, وآخرون
منشور في: (2021)

Arsenic in tubewell water and health consequences: mitigation component
بواسطة: Jakariya, Md.
منشور في: (2019)

Awareness and choice of options of Arsenic-free drinking water
بواسطة: Hadi, Abdullahel
منشور في: (2019)

Classification of retinal diseases from OCT images using deep learning models
بواسطة: Mokarrom, Md Saif, وآخرون
منشور في: (2024)

Cancer classification using deep learning from medical image data
بواسطة: Monir, Raiyan Janik, وآخرون
منشور في: (2022)

Foundations of machine learning /
بواسطة: Mohri, Mehryar, وآخرون
منشور في: (2018)

Remote monitoring and detection of water contamination in effluent treatment plants
بواسطة: Hossain, Akib, وآخرون
منشور في: (2024)

An analytical assessment of GPL kit for field level detection of arsenic in water
بواسطة: Hossain, Md. Zabed
منشور في: (2020)

Classification of peripheral blood cell images using deep learning
بواسطة: Aadi, Oyshik Ahmed, وآخرون
منشور في: (2024)

Bang-lish sentiment classification using deep learning
بواسطة: Saleheen, Abrar, وآخرون
منشور في: (2023)

Skin disease detection and classification using deep learning
بواسطة: Shuvon, Mehedi Hasan, وآخرون
منشور في: (2022)