A comprehensive survey on tinyml

Y Abadade, A Temouden, H Bamoumen… - IEEE …, 2023 - ieeexplore.ieee.org
Recent spectacular progress in computational technologies has led to an unprecedented
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …

Water quality prediction based on machine learning and comprehensive weighting methods

X Wang, Y Li, Q Qiao, A Tavares, Y Liang - Entropy, 2023 - mdpi.com
In the context of escalating global environmental concerns, the importance of preserving
water resources and upholding ecological equilibrium has become increasingly apparent …

How tinyml can be leveraged to solve environmental problems: A survey

H Bamoumen, A Temouden… - … on Innovation and …, 2022 - ieeexplore.ieee.org
Internet of things (IoT) enables the integration of smart and intelligent systems in our lives,
subsequently creating an AI-powered society, where the latter is a substantial ingredient in …

Water quality predictions for urban streams using machine learning

L Jalagam, N Shepherd, J Qi, N Barclay… - SoutheastCon …, 2023 - ieeexplore.ieee.org
The purpose of this study is to examine the impact of land use and rainfall on water quality in
urban streams. This research includes analysis and prediction of a water quality indicator for …

A Review on Artificial intelligence Algorithms and Machine Learning to Predict the Quality of Groundwater for Irrigation Purposes

P Jayaraman, KK Nagarajan… - … Conference on Data …, 2022 - ieeexplore.ieee.org
Utilising ordinary techniques to predict the irrigation water quality is generally costly and
difficult for Farmers, especially for emerging countries. Moreover, machine learning and …

Prediction of water quality parameters by IoT and machine learning

S Kolli, M Ranjani, P Kavitha… - 2023 International …, 2023 - ieeexplore.ieee.org
Increases in domestical applications and other applications drive the need for better clean
Water Management in India. What makes up the “chemical, physical, and biological” quality …

Drinking Water Quality Analysis and Prediction Using LSTM: Safe Drinking Water for School Children

AA Nayan, MS Khan, J Ferdaous… - … Conference on Big Data …, 2023 - Springer
Ensuring safe drinking water is vital for human health, but it remains a challenging task.
School children are vulnerable to various diseases caused by contaminated water. To …

Comparison of LSTM, RNN, and GRU Methods in Predicting Water Quality in the Totality Integrated Smart Aquaculture System

A Fariza, AI Gunawan… - 2024 International …, 2024 - ieeexplore.ieee.org
Shrimp farming in aquaculture holds significant global market potential. However, shrimp
export growth in Indonesia, especially in West Nusa Tenggara (NTB) Province, declined in …

Application of Machine Learning for Ensuring Water Quality in Aquaculture Ponds

SS Bharathi, PL Sai, PCR Ayyappa… - … and Internet of …, 2024 - ieeexplore.ieee.org
Aquaculture plays a pivotal role in meeting the growing global demand for seafood.
However, ensuring optimal water quality within aquaculture ponds is a pressing challenge …

A Remote Sensing Framework for Automated Monitoring of Roadside Water Quality

A Flores, A Barja, X Shi, X Zhao - … International Conference on …, 2023 - ieeexplore.ieee.org
While air pollution is the most visible environmental impact of transportation systems, water
pollution and water quality issues are also of great importance in the transportation and …