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 Faculty Publications Conference Paper Faculty Publications- Conference Papers 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/. Creator An entity primarily responsible for making the resource Kolluru, Vinothkumar; Helen Parimala, E.; Kokilavani, T.; Sunil Raj, Y.; Jesuraj, Bastin; Aminuddin, Afrig Title A name given to the resource QiMINT: Quantum-Inspired Mobile Intelligence - Advancing Complex Signal Processing with Machine Learning Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings of 8th International Conference on Trends in Electronics and Informatics, ICOEI 2025;pp.1715-1724 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICOEI65986.2025.11013711" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICOEI65986.2025.11013711</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105007660858?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105007660858?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kolluru V., Stevens Institute of Technology, Department of Data Science, NJ, United States; Helen Parimala E., Gitam Deemed to be University, Department of Computer Science, Bangalore, India; Kokilavani T., School of Sciences, Christ (Deemed) University, Department of Computer Science, Bangalore, India; Sunil Raj Y., St. Xavier's College (Autonomous), Department of Data Science, Palayamkottai, India; Jesuraj B., Mother Theresa Arts and Science College, Department of Computer Science, Tamilnadu, Theni, India; Aminuddin A., Universitas Amikom Yogyakarta, Department of Information System, Faculty of Computer Science, Sleman, 55283, Indonesia Description An account of the resource Integrating mobile intelligence with quantum-inspired machine learning (QiML) opens space for challenging mobile signal processing tasks. By utilizing superposition and entanglement, quantum computing principles, QiML boosts the agility of mobile devices by allowing real-time data processing, pattern recognition, and decision making. This work introduces Quantum-Inspired Mobile Intelligence (QiMINT) a new mobile computing framework that integrates quantum-inspired designs with classical machine learning, which increases mobile devices' accuracy, latency, and energy efficiency. Results show that medical QiML based models exceeded traditional machine learning methods in most key performance indicators. The quantum convolutional neural network (QCNN) achieved an accuracy of 92.3% in contrast with the CNNs' 87.5%, but with a processing time of 80 ms as to 120 ms, energy consumption of 10 mJ in comparison to the CNNs' 15mJ. Also, quantum-inspired random forests lowered processing delay by 40%, sustaining superior accuracy than the classical-base system. These results demonstrate that QiML can effectively balance computation complexity while making it suitable for edge computing, IoT, and mobile intelligence systems. 2025 IEEE. Subject The topic of the resource AI Optimization; Edge Computing; Machine Learning; Mobile Intelligence; Quantum Algorithms; Quantum Computing; Real-Time Data; Signal Processing Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833154460-7; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online