Transforming Complex Water Quality Monitoring Data into Water Quality Indices

Water Resources Management, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Language: Английский

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Telecom data analytics: Informed decision-making: A review across Africa and the USA

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 21(1), P. 1272 - 1287

Published: Jan. 19, 2024

Telecom data analytics has emerged as a pivotal tool for transforming raw into actionable insights, empowering telecom operators to make informed decisions and enhance the overall efficiency of their networks. This abstract provides an overview comprehensive review that explores landscape in both Africa USA. The delves diverse strategies, challenges, opportunities associated with these regions. It examines how advanced techniques, including machine learning artificial intelligence, are being leveraged extract valuable insights from vast datasets. comparative analysis highlights contextual differences regulatory environments, infrastructure development, technological landscapes influence adoption implementation analytics. In Africa, where is dynamic diverse, playing crucial role addressing connectivity optimizing network performance, expanding telecommunications services. also considers impact frameworks investment climates on deployment solutions. USA, mature market high adoption, investigates shaping decision-making processes, improving customer experiences, contributing development innovative landscape, dynamics, maintaining competitive edge. Throughout review, focus identifying best practices, lessons learned, cross-regional can inform future trajectory encapsulates broader themes offering glimpse critical played by industry across

Language: Английский

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Forecasting biochemical oxygen demand (BOD) in River Ganga: a case study employing supervised machine learning and ANN techniques

Sustainable Water Resources Management, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 16, 2025

Language: Английский

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The Use of Attention-Enhanced CNN-LSTM Models for Multi-Indicator and Time-Series Predictions of Surface Water Quality

Water Resources Management, Journal Year: 2024, Volume and Issue: 38(15), P. 6103 - 6119

Published: Aug. 9, 2024

Language: Английский

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Water Quality Monitoring and Assessment for Efficient Water Resource Management through Internet of Things and Machine Learning Approaches for Agricultural Irrigation

Water Resources Management, Journal Year: 2024, Volume and Issue: unknown

Published: June 3, 2024

Language: Английский

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Groundwater quality prediction and risk assessment in Kerala, India: A machine-learning approach

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122616 - 122616

Published: Sept. 25, 2024

Language: Английский

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Unlocking the Potential of Artificial Intelligence for Sustainable Water Management Focusing Operational Applications

Water, Journal Year: 2024, Volume and Issue: 16(22), P. 3328 - 3328

Published: Nov. 19, 2024

Assessing diverse parameters like water quality, quantity, and occurrence of hydrological extremes their management is crucial to perform efficient resource (WRM). A successful WRM strategy requires a three-pronged approach: monitoring historical data, predicting future trends, taking controlling measures manage risks ensure sustainability. Artificial intelligence (AI) techniques leverage these knowledge fields single theme. This review article focuses on the potential AI in two specific areas: supply-side demand-side measures. It includes investigation applications leak detection infrastructure maintenance, demand forecasting supply optimization, treatment desalination, quality pollution control, parameter calibration optimization applications, flood drought predictions, decision support systems. Finally, an overview selection appropriate suggested. The nature adoption investigated using Gartner hype cycle curve indicated that learning application has advanced different stages maturity, big data reach plateau productivity. also delineates pathways expedite integration AI-driven solutions harness transformative capabilities for protection global resources.

Language: Английский

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High-Resolution Flow and Phosphorus Forecasting Using ANN Models, Catering for Extremes in the Case of the River Swale (UK)

Hydrology, Journal Year: 2025, Volume and Issue: 12(2), P. 20 - 20

Published: Jan. 21, 2025

The forecasting of river flows and pollutant concentrations is essential in supporting mitigation measures for anthropogenic climate change effects on rivers their environment. This paper addresses two aspects receiving little attention the literature: high-resolution (sub-daily) data-driven modeling prediction phosphorus compounds. It presents a series artificial neural networks (ANNs) to forecast soluble reactive (SRP) total (TP) under wide range conditions, including low storm events (0.74 484 m3/s). Results show correct along stretch River Swale (UK) with an anticipation up 15 h, at resolutions 3 h. concentration improved compared previous application advection–dispersion model.

Language: Английский

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GA-ML: enhancing the prediction of water electrical conductivity through genetic algorithm-based end-to-end hyperparameter tuning

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(2)

Published: Jan. 18, 2025

Language: Английский

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A Water Quality Prediction Model Based on Neural Network at Data-Scarce Sites

Water-Energy Nexus, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Language: Английский

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