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Dr. Ikvinderpal Singh,
Sapandeep Kaur Dhillon,
- Assistant Professor, PG Department of Computer Science and Applications, Trai Shatabdi GGS Khalsa College, Amritsar, Punjab, India
- Assistant Professor, Department of Computer Science, Guru Nanak Dev University, Amritsar, Punjab, India
Abstract
In recent years, the realm of smart water meters has undergone a transformative evolution driven by the integration of computational intelligent techniques. This research paper embarks on an exploration of the multifaceted applications of these techniques, delving into their profound impact on enhancing the functionality and efficiency of smart water meters. The convergence of artificial intelligence (AI) and machine learning (ML) algorithms with smart water meters presents a paradigm-shifting opportunity to revolutionize the conventional landscape of water management, conservation, and distribution. The synergy of these advanced technologies endows water meters with a newfound capability to transcend their traditional roles, becoming instrumental in addressing the pressing challenges of modern water resource management. Through the analysis of real-time data, these techniques enable efficient leak detection, anomaly detection, predictive maintenance, demand forecasting, usage analytics, and more. This paper reviews the state-of-the-art computational intelligent techniques used in smart water meters, their advantages, challenges, and potential future developments in the field.
Keywords: Smart water meters; computational intelligent techniques; artificial intelligence; machine learning; water management; water conservation
Dr. Ikvinderpal Singh, Sapandeep Kaur Dhillon. Computational Intelligent Techniques for Enhancing the Capabilities and Efficiency of Smart Water Meters. Journal of Artificial Intelligence Research & Advances. 2025; 12(02):-.
Dr. Ikvinderpal Singh, Sapandeep Kaur Dhillon. Computational Intelligent Techniques for Enhancing the Capabilities and Efficiency of Smart Water Meters. Journal of Artificial Intelligence Research & Advances. 2025; 12(02):-. Available from: https://journals.stmjournals.com/joaira/article=2025/view=0
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Journal of Artificial Intelligence Research & Advances
| Volume | 12 |
| 02 | |
| Received | 31/07/2025 |
| Accepted | 05/08/2025 |
| Published | 08/08/2025 |
| Publication Time | 8 Days |
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