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 IOT based prediction of rainfall forecast in coastal regions using deep reinforcement model Subject The topic of the resource Deep reinforcement model; IoT; Prediction; Rainfall forecast Description An account of the resource This research proposes an IoT based technique for predicting rainfall forecast in coastal regions using a deep reinforcement learning model. The proposed technique utilizes Long Short-Term Memory (LSTM) networks to capture the temporal dependencies between the rainfall data collected from the coastal regions and the prediction model parameters. The proposed technique is evaluated on a dataset of rainfall data collected from the coastal regions of India and compared to traditional methods of rainfall forecasting. The accuracy and reliability of these models are evaluated by comparing them to prior models. Precipitation in coastal locations may be predicted with an average accuracy of 89% using the suggested model, as shown by the results. The suggested framework is computationally efficient and can be trained with little input. The results of this research give strong evidence that the proposed model is an effective tool for coastal precipitation forecasting. 2023 The Authors Creator An entity primarily responsible for making the resource Nithyashri J.; Poluru R.K.; Balakrishnan S.; Ashok Kumar M.; Prabu P.; Nandhini S. Source A related resource from which the described resource is derived Measurement: Sensors, Vol-29 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.measen.2023.100877" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.measen.2023.100877</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167590215&amp;doi=10.1016%2Fj.measen.2023.100877&amp;partnerID=40&amp;md5=ea89e69825fea24d93897bcee9a6fbe8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167590215&amp;doi=10.1016%2fj.measen.2023.100877&amp;partnerID=40&amp;md5=ea89e69825fea24d93897bcee9a6fbe8</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 26659174 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 Nithyashri J., Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, Chengalpet District, Kattankulathur, 603203, India; Poluru R.K., Department of Information Technology, Institute of Aeronautical Engineering, Hyderabad, India; Balakrishnan S., Department of Computer Science and Business Systems, Sri Krishna College of Engineering and Technology, Coimbatore, India; Ashok Kumar M., Faculty of Computer Science, Department of Computer Science and Software Engineering, Skyline University Nigeria, Kano, Nigeria; Prabu P., Department of Computer Science, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Nandhini S., Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Tamilnadu, Coimbatore, India