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Earlier classification of 2019 novel coronavirus disease (COVID-19) is needed to cure and control the disease. It results in a requirement of secondary diagnosis models, since no precise automated toolkits exist. The latest finding attained using radiological imaging techniques highlighted that the images hold noticeable details regarding the COVID-19 virus. The application of recent artificial intelligence (AI) and deep learning (DL) approaches integrated to radiological images finds useful to accurately detect the disease. This article introduces a new synergic deep learning (SDL)-based smart health diagnosis of COVID-19 using Chest X-Ray Images. The SDL makes use of dual deep convolutional neural networks (DCNNs) and involves a mutual learning process from one another. Particularly, the representation of images learned by both DCNNs is provided as the input of a synergic network, which has a fully connected structure and predicts whether the pair of input images come under the identical class. Besides, the proposed SDL model involves a fuzzy bilateral filtering (FBF) model to pre-process the input image. The integration of FBL and SDL resulted in the effective classification of COVID-19. To investigate the classifier outcome of the SDL model, a detailed set of simulations takes place and ensures the effective performance of the FBF-SDL model over the compared methods.<\/jats:p>","DOI":"10.1145\/3453168","type":"journal-article","created":{"date-parts":[[2021,11,29]],"date-time":"2021-11-29T23:40:36Z","timestamp":1638229236000},"page":"1-14","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":52,"title":["Synergic Deep Learning for Smart Health Diagnosis of COVID-19 for Connected Living and Smart Cities"],"prefix":"10.1145","volume":"22","author":[{"given":"K.","family":"Shankar","sequence":"first","affiliation":[{"name":"Department of Computer Applications, Alagappa University, Karaikudi, Tamil Nadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eswaran","family":"Perumal","sequence":"additional","affiliation":[{"name":"Department of Computer Applications, Alagappa University, Karaikudi, Tamil Nadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed","family":"Elhoseny","sequence":"additional","affiliation":[{"name":"College of Computer Information Technology, American University in the Emirates, Dubai, UAE"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fatma","family":"Taher","sequence":"additional","affiliation":[{"name":"Department of Computing and Applied Technology, Zayed University, Dubai, Academic City, UAE"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4929-4698","authenticated-orcid":false,"given":"B. 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