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 Conference Papers 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/. Title A name given to the resource Genetic Algorithm-Based Optimization ofUNet forBreast Cancer Classification: A Lightweight andEfficient Approach forIoT Devices Subject The topic of the resource Compression &amp; Acceleration; Deep Learning; Genetic Algorithm; Semantic Segmentation; UNet Description An account of the resource IoT devices are widely used in medical domain for detection of high blood sugar and life threatening disease such as cancer. Breast cancer is one of the most challenging type of cancer which not only affects women but in some cases men also. Deep learning is one of the widely used technology which provides efficient classification of cancerous lumps but it is not useful for IoT devices as the devices lack resources such as storage and computation. For the suitability in IoT devices, in this work, we are compressing UNet, the popular semantic segmentation technique, for the pixel-wise classification of breast cancer. For compressing the deep learning model, we use genetic algorithm which removes the unwanted layers and hidden units in the existing UNet model. We have evaluated the proposed model and compared with the existing model(s) and found that the proposed compression technique suppresses the storage requirement to 77.1%. Additionally, it also improves the inference time by 3.82without compromising the accuracy. We conclude that the primary reason of inference time improvement is the requirement of less number of weight and bias by the proposed model. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Agarwal M.; Dwivedi A.K.; Gupta S.K.; Najafzadeh M.; Jindal M. Source A related resource from which the described resource is derived Communications in Computer and Information Science, Vol-2054 CCIS, pp. 386-396. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-3-031-56703-2_31" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-56703-2_31</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190406689&amp;doi=10.1007%2F978-3-031-56703-2_31&amp;partnerID=40&amp;md5=54f0a2b69450a60ed799a6e9aced10f1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190406689&amp;doi=10.1007%2f978-3-031-56703-2_31&amp;partnerID=40&amp;md5=54f0a2b69450a60ed799a6e9aced10f1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18650929; ISBN: 978-303156702-5 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Agarwal M., Bennett University, Greater Noida, India; Dwivedi A.K., Bennett University, Greater Noida, India; Gupta S.K., Bennett University, Greater Noida, India; Najafzadeh M., Department of Water Engineering, Graduate University of Advanced Technology, Kerman, Iran; Jindal M., CHRIST (Deemed to be University), Bangalore, India