Water quality monitoring using machine learning and Internet Of Things (IoT)

Water quality monitoring using machine learning and Internet Of Things (IoT)

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

Xehetasun bibliografikoak
Egile Nagusiak:	Rahman, Naveed, Nir, Riaz Uddin Ahmed, Tithi, Saila Hasan, Shupti, Baishakhi Rani Das
Beste egile batzuk:	Mohsin, Abu S.M.
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2021
Gaiak:	Water quality monitoring(WQM) Water pollution pH TDS Turbidity Machine learning and future prediction Machine learning Internet of things
Sarrera elektronikoa:	http://hdl.handle.net/10361/14935

Antzeko izenburuak

Smart measurement of water quality parameters and monitoring fish health
nork: Talukder, Ali Ahmed Rezvee, et al.
Argitaratua: (2021)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
nork: Tasnim, Anika, et al.
Argitaratua: (2022)

Fault detection and predictive maintenance in IoT-based building management system using machine learning
nork: Sabuj, Khaja Sheikh Imran, et al.
Argitaratua: (2022)

Bio-sorption studies of chromium (VI) ions with modified chicken feathers
nork: Shaima, Nabila Afrin
Argitaratua: (2022)

Botnet detection In IoT devices using machine learning
nork: Rouf, Shakir, et al.
Argitaratua: (2020)

Machine learning as an indicator for breast cancer prediction
nork: Shadman, Tahsin Mohammed, et al.
Argitaratua: (2019)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
nork: Toufique, S.M, et al.
Argitaratua: (2024)

An effective real-time flood disaster management with automated GSM warning system
nork: Faruk, Omar, et al.
Argitaratua: (2024)

IoT based automated entry system with integration of Covid-19 symptom detection
nork: Ruhin, Rubaiyat Alam, et al.
Argitaratua: (2024)

Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops
nork: Hasan, Raad, et al.
Argitaratua: (2021)

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
nork: Alhossen, Md., et al.
Argitaratua: (2021)

IoT based air components collection for machine learning reinforcement
nork: Islam, Tanjima, et al.
Argitaratua: (2024)

Anomaly detection In IoT using machine learning algorithms
nork: Arko, Aritro Roy, et al.
Argitaratua: (2019)

Predicting climate induced floods using machine learning
nork: Saleh, Chowdhury Nafis, et al.
Argitaratua: (2022)

Explainable artificial intelligence and model calibration for water quality prediction
nork: Hellen, Nakayiza
Argitaratua: (2022)

Investigation assistant with suspect anticipating intelligence
nork: Abdullah, Saqueeb, et al.
Argitaratua: (2019)

Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease
nork: Amin, M.M. Shahriar, et al.
Argitaratua: (2021)

Health monitoring IoT device with risk prediction using cloud computing and machine learning
nork: Das, Anindya, et al.
Argitaratua: (2021)

Identification of multi drug resistant bacteria from local fresh juice and industrially processed juice
nork: Abanti, Rifah Tasnia, et al.
Argitaratua: (2023)

Weather Pattern Extraction using Statistical Methods & Machine Learning Techniques
nork: Habib, Adria Binte
Argitaratua: (2021)

An implementation and analysis of deep learning models for the detection of wheat diseases
nork: Zubair, Ahmad, et al.
Argitaratua: (2024)

Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
nork: Islam, Zahedul, et al.
Argitaratua: (2023)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
nork: Islam, Roman, et al.
Argitaratua: (2024)

Forecasting Dhaka stock exchange prices using machine learning models: a Performance analysis
nork: Alam, Md. Iftekharul, et al.
Argitaratua: (2024)

Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
nork: Al Amin, Istiak, et al.
Argitaratua: (2022)

A classification and prediction based approach for real-time ETP outlet monitoring through E-IoT and remote sensing using machine learning and deep learning
nork: Hossain, Md. Mehedi, et al.
Argitaratua: (2021)

N.P.K. based crop suggesting model
nork: Iftekher, Asif, et al.
Argitaratua: (2020)

Application of CNN based architectures in detection of distracted drivers
nork: Arafin, Irfana, et al.
Argitaratua: (2023)

Exploration of yeast candida zeylonoides with special references to probiotic activity isolated from mozzarella cheese
nork: Shamshad, Ritwika
Argitaratua: (2021)

Emotion analysis using machine learning model and deep learning model on DEAP dataset
nork: Hasan, Anita, et al.
Argitaratua: (2022)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
nork: Ahmed, Md. Sabbir, et al.
Argitaratua: (2021)

Machine learning based data processing and latency reduction in the internet of things for agriculture
nork: Rahman, Sajeed Ur, et al.
Argitaratua: (2019)

A study on coastal water pollution of Bangladesh in the Bay of Bengal
nork: Rahman, Mohammad Mizanur
Argitaratua: (2010)

A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
nork: Maliha, Miftahul Zannat, et al.
Argitaratua: (2023)

A counseling system to predict the study path for freshmen
nork: Usha, Rowshni Tasneem, et al.
Argitaratua: (2019)

Share market forecasting with LSTM neural network and sentimental trend prediction
nork: Rony, Ismail Hossain, et al.
Argitaratua: (2020)

Heart disease prediction using machine learning algorithms
nork: Ali, Musfiq, et al.
Argitaratua: (2019)

Enhancing underwater object detection through water artifact removal and using ensemble transfer learning
nork: Saikat, Nayem Hossain, et al.
Argitaratua: (2024)

Machine learning for stress prediction
nork: Salehin, Sherajus, et al.
Argitaratua: (2023)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
nork: Shawan, Naveed Rahman, et al.
Argitaratua: (2019)