Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing rainwater harvesting and groundwater recharge efficiency with multi-dimensional LSTM and clonal selection algorithm Subject The topic of the resource Clonal selection algorithm; Multi-dimensional LSTM; Rainwater harvesting; Resource optimization; Sustainability; Water management; Water scarcity mitigation Description An account of the resource Rainwater harvesting stands out as a promising solution to alleviate water scarcity and alleviate pressure on conventional water reservoirs. This work introduces a pioneering strategy to elevate the efficiency of rainwater harvesting systems through the fusion of Multi-Dimensional Long Short-Term Memory (LSTM) networks and the Clonal Selection Algorithm (CSA). The Multi-Dimensional LSTM networks serve to model intricate temporal and spatial rainfall patterns, enabling precise predictions regarding the optimal times and locations for rainwater abundance. This insight is pivotal in refining the design and operation of rainwater harvesting setups. Drawing inspiration from the immune system, the Clonal Selection Algorithm is employed to optimize site selection and resource allocation, ensuring the maximal utilization of harvested rainwater. The adaptability and robustness of CSA prove invaluable in tackling the dynamic nature of rainfall patterns. This research endeavor is dedicated to enhancing groundwater levels and optimizing its sources through the implementation of efficient harvesting techniques. By delving into innovative methodologies, it aims to contribute significantly to sustainable water management practices and ensure a reliable supply of groundwater for various societal needs. The experiments are conducted to study the effectiveness of rainwater harvesting systems, where the proposed method achieves increased efficiency, thereby reducing dependence on conventional water sources and contributing to sustainable water management practices. The proposed CSA-LSTM model demonstrates superior performance compared to ACO-ANN and PSO-BPNN, achieving higher training, testing, and validation accuracies while exhibiting lower training, testing, and validation losses. Additionally, CSA-LSTM showcases excellent site suitability, high resource utilization, and robustness to changes, with a fast response time, emphasizing its potential for efficient and effective applications. 2024 Elsevier B.V. Creator An entity primarily responsible for making the resource Raghava Rao N.; Pokkuluri Kiran S.; Amena I T.; Senthilkumar A.; Sivakumar R.; Ashok Kumar M.; Velusamy S. Source A related resource from which the described resource is derived Groundwater for Sustainable Development, Vol-25 Publisher An entity responsible for making the resource available Elsevier B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.gsd.2024.101167" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.gsd.2024.101167</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189021911&amp;doi=10.1016%2Fj.gsd.2024.101167&amp;partnerID=40&amp;md5=6d346877ff14cf448e7e80b8efab687d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189021911&amp;doi=10.1016%2fj.gsd.2024.101167&amp;partnerID=40&amp;md5=6d346877ff14cf448e7e80b8efab687d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2352801X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Raghava Rao N., Department of Information Technology, Institute of Aeronautical Engineering, Dundigal, Hyderabad, 500043, India; Pokkuluri Kiran S., Department of Computer Science and Engineering, Shri Vishnu Engineering College for Women, Vishnupur, AP, Bhimavaram, India; Amena I T., Department of Civil Engineering, Deogiri College of Engineering and Management (DIETMS), Maharashtra, Aurangabad, India; Senthilkumar A., School of Science and Information Technology, Skyline University Nigeria, Kano State, Nigeria; Sivakumar R., Department of Statistics and Data Science, CHRIST(Deemed to be University), Bangalore, India; Ashok Kumar M., Department of Computer Science and Software Engineering, Skyline University Nigeria, Kano, Nigeria; Velusamy S., Department of Civil Engineering, Kongu Engineering College, Perundurai, 638060, India