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Optimisation and interpretation of machine and deep learning models for improved water quality management in Lake Loktak
Loktak Lake, one of the largest freshwater lakes in Manipur, India, is critical for the eco-
hydrology and economy of the region, but faces deteriorating water quality due to …
hydrology and economy of the region, but faces deteriorating water quality due to …
A combined computer vision and convolution neural network approach to classify turbid water samples in accordance with national water quality standards
Z Nazemi Ashani, MF Zainuddin, IS Che Ilias… - Arabian Journal for …, 2024 - Springer
Computer vision (CV) technologies have been applied extensively in turbid water
assessment. However, the accuracies of CV to detect turbidity is limited by several factors …
assessment. However, the accuracies of CV to detect turbidity is limited by several factors …
Machine learning for smart water distribution systems: exploring applications, challenges and future perspectives
The advancements of the Internet of Things and Low-Power Wide-Area Network technology
will accelerate in the next future the adoption of smart meters in water distribution systems …
will accelerate in the next future the adoption of smart meters in water distribution systems …
Deep Learning for Combined Water Quality Testing and Crop Recommendation
The field of agriculture and its specifics has been gaining more attention nowadays due to
the limited present resources and the continuously increasing need for food. In fact …
the limited present resources and the continuously increasing need for food. In fact …
Computational Methods For Water Quality Index Calculation Using Real-Time Measurement System
The main focus point of this research is the analysis of the computational methods used for
Water Quality Index (WQI) calculation using a real-time measurement System. For the …
Water Quality Index (WQI) calculation using a real-time measurement System. For the …
Dimensionality Reduction by Machine Learning for Cost-Effective Data Analysis
Processing large amount of data with many input features is always time consuming and
expensive. In machine learning (ML), the number of input features play a crucial role in …
expensive. In machine learning (ML), the number of input features play a crucial role in …
On object detection based on similarity measures from digital maps
This paper deals with the problem of object detection from digital maps. We are interested in
detecting objects in a map which are defined in the legend. We will explore different …
detecting objects in a map which are defined in the legend. We will explore different …