Optimisation and interpretation of machine and deep learning models for improved water quality management in Lake Loktak

S Talukdar, S Bera, MW Naikoo, GV Ramana… - Journal of …, 2024 - Elsevier
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 …

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 …

Machine learning for smart water distribution systems: exploring applications, challenges and future perspectives

RJL Taloma, F Cuomo, D Comminiello… - Artificial Intelligence …, 2025 - Springer
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 …

Deep Learning for Combined Water Quality Testing and Crop Recommendation

T Alkhudaydi, MQ Albalawi, JS Alanazi… - International …, 2023 - search.proquest.com
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 …

Computational Methods For Water Quality Index Calculation Using Real-Time Measurement System

R Koleva, E Zaev, D Babunski… - 2024 13th …, 2024 - ieeexplore.ieee.org
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 …

Dimensionality Reduction by Machine Learning for Cost-Effective Data Analysis

A Asaduzzaman, MR Uddin, FN Sibai - Authorea Preprints, 2024 - techrxiv.org
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 …

On object detection based on similarity measures from digital maps

A Marzinkowski, S Benferhat, A Paparrizou… - Intelligent Systems …, 2023 - Springer
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 …