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.

Bibliografiset tiedot
Päätekijät:	Rahman, Naveed, Nir, Riaz Uddin Ahmed, Tithi, Saila Hasan, Shupti, Baishakhi Rani Das
Muut tekijät:	Mohsin, Abu S.M.
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2021
Aiheet:	Water quality monitoring(WQM) Water pollution pH TDS Turbidity Machine learning and future prediction Machine learning Internet of things
Linkit:	http://hdl.handle.net/10361/14935

Samankaltaisia teoksia

Smart measurement of water quality parameters and monitoring fish health
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Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
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Fault detection and predictive maintenance in IoT-based building management system using machine learning
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Bio-sorption studies of chromium (VI) ions with modified chicken feathers
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Julkaistu: (2022)

Botnet detection In IoT devices using machine learning
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Julkaistu: (2020)

Machine learning as an indicator for breast cancer prediction
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Julkaistu: (2019)

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

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

IoT based automated entry system with integration of Covid-19 symptom detection
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Julkaistu: (2024)

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

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

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

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

Predicting climate induced floods using machine learning
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Julkaistu: (2022)

Explainable artificial intelligence and model calibration for water quality prediction
Tekijä: Hellen, Nakayiza
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Investigation assistant with suspect anticipating intelligence
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Julkaistu: (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
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Health monitoring IoT device with risk prediction using cloud computing and machine learning
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Identification of multi drug resistant bacteria from local fresh juice and industrially processed juice
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Julkaistu: (2023)

Weather Pattern Extraction using Statistical Methods & Machine Learning Techniques
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An implementation and analysis of deep learning models for the detection of wheat diseases
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Julkaistu: (2024)

Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
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Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
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Forecasting Dhaka stock exchange prices using machine learning models: a Performance analysis
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Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
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A classification and prediction based approach for real-time ETP outlet monitoring through E-IoT and remote sensing using machine learning and deep learning
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N.P.K. based crop suggesting model
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Application of CNN based architectures in detection of distracted drivers
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Exploration of yeast candida zeylonoides with special references to probiotic activity isolated from mozzarella cheese
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Emotion analysis using machine learning model and deep learning model on DEAP dataset
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Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
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Machine learning based data processing and latency reduction in the internet of things for agriculture
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Julkaistu: (2019)

A study on coastal water pollution of Bangladesh in the Bay of Bengal
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Julkaistu: (2010)

A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
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A counseling system to predict the study path for freshmen
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Julkaistu: (2019)

Share market forecasting with LSTM neural network and sentimental trend prediction
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Julkaistu: (2020)

Heart disease prediction using machine learning algorithms
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Julkaistu: (2019)

Enhancing underwater object detection through water artifact removal and using ensemble transfer learning
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Machine learning for stress prediction
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Chronic kidney disease detection using ensemble classi ers and feature set reduction
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