Abstract
COVID-19 has been posing unprecedented challenges to people, process, and product. Deadly COVID-19 is randomly depleting human emotions and leads stark to low mental health in daily routines, financial traits, jobs, and business. A wide zoom process is required to ensure a proper ecosystem for the pandemic disease. COVID-19 researches compare the functional and nonfunctional sectors to support quality assured and accurate products with supportive technologies to avoid further losses. The current research work proposes a deep learning mapping model for finding functional sector with different age group of people (p), and it reflects in the development of process (p) and product (p). Metaheuristic deep learning algorithm (MHDL) develops a model between functional and nonfunctional sectors by comparing the usage of information and communication technology to support process and product. MHDL model proves information communication technology (ICT) redeems communication between sectors and leads to less economic losses.
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Ganesan, V., Rajarajeswari, P., Govindaraj, V., Prakash, K.B., Naren, J. (2021). Post-COVID-19 Emerging Challenges and Predictions on People, Process, and Product by Metaheuristic Deep Learning Algorithm. In: Bhattacharyya, D., Thirupathi Rao, N. (eds) Machine Intelligence and Soft Computing. Advances in Intelligent Systems and Computing, vol 1280. Springer, Singapore. https://doi.org/10.1007/978-981-15-9516-5_24
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