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 Design control and management of intelligent and autonomous nanorobots with artificial intelligence for Prevention and monitoring of blood related diseases Subject The topic of the resource Blood clot; Gradient descent method; Hypoxemia; Nanorobots; Semi-supervised machine learning model; Swarm intelligence; Thrombus Description An account of the resource The effective management of human bloodstream remains to be the prime focus for the clinicians over years and it impose greater challenges when it comes to real-time solution. In particular managing hypoxemia and detection of blood clots is most pertinent. One major challenge faced is the existence of limited training data generated from real-world scenarios. On the other hand, creating an efficient model is often time consuming and expensive. This paper focusses on effective convergence of artificial intelligence and nanorobotics technologies to design and implement autonomous intelligent nanorobots to deal with blood related diseases. The major contribution of the research is two-fold, first we define an efficient architecture of the nanorobotics system with appropriate design parameter. Next, we develop a novel semi-supervised learning model using stochastic gradient descent method and kernel space that efficiently control and manage the nanorobots and helps in earlier prognosis and treatment of blood related diseases. The proposed model is novel and efficient as it enables working at nanoscale, providing resourceful understanding on physical and chemical properties associated with human body. The use of artificial intelligence techniques further makes the system to work more intelligently and independently. COSMOL with integrated MATLAB environment is used for experimental setup and simulation. MNIST dataset is compared with online RP tree method and other conventional batch related techniques. The performance analysis is compared based on performance, error rates and risk related factors. The proposed approach provides significant improvement in terms of performance with minimal error rate and improved accuracy measures. 2023 Creator An entity primarily responsible for making the resource Balusamy B.; Dhanaraj R.K.; Seetharaman T.; Sharma V.; Shankar A.; Viriyasitavat W. Source A related resource from which the described resource is derived Engineering Applications of Artificial Intelligence, Vol-131 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.engappai.2023.107798" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.engappai.2023.107798</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181825838&amp;doi=10.1016%2Fj.engappai.2023.107798&amp;partnerID=40&amp;md5=d24aecb8fafceffd23e80b6f44c055ca" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181825838&amp;doi=10.1016%2fj.engappai.2023.107798&amp;partnerID=40&amp;md5=d24aecb8fafceffd23e80b6f44c055ca</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9521976; CODEN: EAAIE 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 Balusamy B., Shiv Nadar Institution of Eminence, Delhi-NCR, India; Dhanaraj R.K., Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University), Pune, India; Seetharaman T., Department of CSE, CMR University, Bangalore, India; Sharma V., Computer Science Department, CHRIST(Deemed to be University), Delhi-NCR, India; Shankar A., Department of Cyber Systems Engineering, WMG, University of Warwick, Coventry, CV74AL, United Kingdom, Centre of Research Impact and Outreach, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India, School of Computer Science Engineering, Lovely Professional University, Punjab, Phagwara, 144411, India; Viriyasitavat W., Chulalongkorn Business School, Faculty of commerce and accountancy, Chulalongkorn University, Thailand