Prediction of weighted arithmetic water quality index for urban water quality using ensemble machine learning model
Urban water quality index (WQI) is an important factor for assessment quality of groundwater
in the urban and rural area. In this research, the Weighted Arithmetic Water Quality Index …
in the urban and rural area. In this research, the Weighted Arithmetic Water Quality Index …
Enhancing water quality monitoring through the integration of deep learning neural networks and fuzzy method
M Mokarram, HR Pourghasemi, TM Pham - Marine Pollution Bulletin, 2024 - Elsevier
The escalating growth of the global population has led to degraded water quality,
particularly in seawater environments. Water quality monitoring is crucial to understanding …
particularly in seawater environments. Water quality monitoring is crucial to understanding …
[HTML][HTML] Charting the aquaculture internet of things impact: Key applications, challenges, and future trend
Aquaculture plays a pivotal role in global food production, grappling with distinct hurdles in
water quality, feeding operation, and disease control. Efficient management of these core …
water quality, feeding operation, and disease control. Efficient management of these core …
[HTML][HTML] Recent Progress on Surface Water Quality Models Utilizing Machine Learning Techniques
Surface waterbodies are heavily exposed to pollutants caused by natural disasters and
human activities. Empowering sensor technologies in water quality monitoring, sufficient …
human activities. Empowering sensor technologies in water quality monitoring, sufficient …
IoT and machine learning solutions for monitoring agricultural water quality: a robust framework
All living things, comprising animals, plants, and people require water to survive. The world
is covered in water, just 1 percent of it is fresh and functional. The importance and value of …
is covered in water, just 1 percent of it is fresh and functional. The importance and value of …
[HTML][HTML] Hypertuning-Based Ensemble Machine Learning Approach for Real-Time Water Quality Monitoring and Prediction
In the present day, the health of the populace is significantly jeopardized by the presence of
contaminated water, and the majority of the population is unaware of the distinction between …
contaminated water, and the majority of the population is unaware of the distinction between …
Remote sensing data-based satellite image analysis in water quality detection for public health data modelling
One of the most important aspects of environmental sustainability is water quality monitoring.
The ecology is impacted by poor water quality in addition to aquatic life. With the volume of …
The ecology is impacted by poor water quality in addition to aquatic life. With the volume of …
Water Quality Monitoring and Assessment for Efficient Water Resource Management through Internet of Things and Machine Learning Approaches for Agricultural …
Water quality monitoring and assessment play crucial roles in efficient water resource
management, particularly in the context of agricultural rrigation. Leveraging Internet of …
management, particularly in the context of agricultural rrigation. Leveraging Internet of …
Water Quality Monitoring in Agriculture: Applications, Challenges and Future Prospectus with IoT and Machine Learning
Water is one of the key elements involved in maintaining the quality of life. It is essential in
the field of agriculture for food production and livestock farming. Water quality is …
the field of agriculture for food production and livestock farming. Water quality is …
Innovative machine learning solutions: Investigating algorithms and applications
This comprehensive review paper provides a thorough examination of the ever-evolving
landscape of machine learning (ML), spanning from its historical origins to contemporary …
landscape of machine learning (ML), spanning from its historical origins to contemporary …