On the benefits of using metaheuristics in the hyperparameter tuning of deep learning models for energy load forecasting
An effective energy oversight represents a major concern throughout the world, and the
problem has become even more stringent recently. The prediction of energy load and …
problem has become even more stringent recently. The prediction of energy load and …
Digital technology-based telemedicine for the COVID-19 pandemic
YT Shen, L Chen, WW Yue, HX Xu - Frontiers in medicine, 2021 - frontiersin.org
In the year 2020, the coronavirus disease 2019 (COVID-19) crisis intersected with the
development and maturation of several digital technologies including the internet of things …
development and maturation of several digital technologies including the internet of things …
Modified firefly algorithm for workflow scheduling in cloud-edge environment
Edge computing is a novel technology, which is closely related to the concept of Internet of
Things. This technology brings computing resources closer to the location where they are …
Things. This technology brings computing resources closer to the location where they are …
Hybrid CNN and XGBoost model tuned by modified arithmetic optimization algorithm for COVID-19 early diagnostics from X-ray images
Developing countries have had numerous obstacles in diagnosing the COVID-19 worldwide
pandemic since its emergence. One of the most important ways to control the spread of this …
pandemic since its emergence. One of the most important ways to control the spread of this …
A measurement approach using smart-IoT based architecture for detecting the COVID-19
M Poongodi, TN Nguyen, M Hamdi, K Cengiz - Neural Processing Letters, 2021 - Springer
The corona virus has infected the entire world in the most severe ways. Many countries
found the situation is very difficult to deal with and their health support infrastructure is not …
found the situation is very difficult to deal with and their health support infrastructure is not …
Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application
Deep learning has recently been utilized with great success in a large number of diverse
application domains, such as visual and face recognition, natural language processing …
application domains, such as visual and face recognition, natural language processing …
Performance of a novel chaotic firefly algorithm with enhanced exploration for tackling global optimization problems: Application for dropout regularization
Swarm intelligence techniques have been created to respond to theoretical and practical
global optimization problems. This paper puts forward an enhanced version of the firefly …
global optimization problems. This paper puts forward an enhanced version of the firefly …
Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
Tuning machine learning models using a group search firefly algorithm for credit card fraud detection
Recent advances in online payment technologies combined with the impact of the COVID-
19 global pandemic has led to a significant escalation in the number of online transactions …
19 global pandemic has led to a significant escalation in the number of online transactions …
What determines urban resilience against COVID-19: City size or governance capacity?
Z Chu, M Cheng, M Song - Sustainable cities and society, 2021 - Elsevier
This study analyzed the effects of urban governance and city size on COVID-19 prevention
and control measures. Based on real-time data in 276 prefecture-level Chinese cities, we …
and control measures. Based on real-time data in 276 prefecture-level Chinese cities, we …