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 enabled lung cancer detection and routing algorithm using CBSOA-based ShCNN Subject The topic of the resource cancer detection; Internet of Things; routing; shepherd convolutional neural network; social optimization algorithm Description An account of the resource The Internet of Things (IoT) has tremendously spread worldwide, and it influenced the world through easy connectivity, interoperability, and interconnectivity using IoT devices. Numerous techniques have been developed using IoT-enabled health care systems for cancer detection, but some limitations exist in transmitting the health data to the cloud. The limitations can be accomplished using the proposed chronological-based social optimization algorithm (CBSOA) that effectively transmits the patient's health data using IoT network, thereby detecting lung cancer in an effective way. Initially, nodes in the IoT network are simulated such that patient's health data are collected, and for transmission of such data, routing is performed in order to transmit the health data from source to destination through a gateway based on cloud service using CBSOA. The fitness is newly modeled by assuming the factors like energy, distance, trust, delay, and link quality. Finally, lung cancer detection is carried out at the destination point. At the destination point, the acquired input data is fed to preprocessing phase to make the data acceptable for further mechanism using data normalization. Once the feature selection is done using Canberra distance, then the lung cancer detection is performed using shepard convolutional neural network (ShCNN). The process of routing as well as training of ShCNN is performed using the CBSOA algorithm, which is devised by the inclusion of the chronological concept into the social optimization algorithm. The proposed approach has achieved a maximum accuracy of 0.940, maximum sensitivity of 0.941, maximum specificity of 0.928, and minimum energy of 0.452. 2022 John Wiley &amp; Sons Ltd. Creator An entity primarily responsible for making the resource Gnanasigamani Samuel Raj E.S.; Diana Jeba Jingle I.; Maram B.; Ananth J.P. Source A related resource from which the described resource is derived International Journal of Adaptive Control and Signal Processing, Vol-37, No. 1, pp. 224-243. Publisher An entity responsible for making the resource available John Wiley and Sons 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/10.1002/acs.3518" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/acs.3518</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142271210&amp;doi=10.1002%2Facs.3518&amp;partnerID=40&amp;md5=836bc98d730fdaad1d4d8d387d52e80e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142271210&amp;doi=10.1002%2facs.3518&amp;partnerID=40&amp;md5=836bc98d730fdaad1d4d8d387d52e80e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 8906327; CODEN: IACPE 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 Gnanasigamani Samuel Raj E.S., Department of Computer Science and Engineering, Thiagarajar College of Engineering, Tamil Nadu, Madurai, India; Diana Jeba Jingle I., Department of Computer Science and Engineering, Christ University, Karnataka, Bengaluru, India; Maram B., Department of Computer Science and Engineering, Chitkara University School of Engineering and Technology, Chitkara University, Himachal Pradesh, Baddi, India; Ananth J.P., Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Tamil Nadu, Coimbatore, India