[HTML][HTML] Machine learning and prediction of infectious diseases: a systematic review
OE Santangelo, V Gentile, S Pizzo, D Giordano… - Machine Learning and …, 2023 - mdpi.com
The aim of the study is to show whether it is possible to predict infectious disease outbreaks
early, by using machine learning. This study was carried out following the guidelines of the …
early, by using machine learning. This study was carried out following the guidelines of the …
Deep learning for Covid-19 forecasting: State-of-the-art review.
The Covid-19 pandemic has galvanized scientists to apply machine learning methods to
help combat the crisis. Despite the significant amount of research there exists no …
help combat the crisis. Despite the significant amount of research there exists no …
Intrusion detection in industrial internet of things network‐based on deep learning model with rule‐based feature selection
JB Awotunde, C Chakraborty… - … and mobile computing, 2021 - Wiley Online Library
The Industrial Internet of Things (IIoT) is a recent research area that links digital equipment
and services to physical systems. The IIoT has been used to generate large quantities of …
and services to physical systems. The IIoT has been used to generate large quantities of …
[HTML][HTML] XGBoost for imbalanced multiclass classification-based industrial internet of things intrusion detection systems
The Industrial Internet of Things (IIoT) has advanced digital technology and the fastest
interconnection, which creates opportunities to substantially grow industrial businesses …
interconnection, which creates opportunities to substantially grow industrial businesses …
Intelligent computing on time-series data analysis and prediction of COVID-19 pandemics
Covid-19 disease caused by novel coronavirus (SARS-CoV-2) is a highly contagious
epidemic that originated in Wuhan, Hubei Province of China in late December 2019. World …
epidemic that originated in Wuhan, Hubei Province of China in late December 2019. World …
Optimized multimedia data through computationally intelligent algorithms
In the field of data exchange, the security of information is the critical aspect. This void in the
security helped the evolution of steganography to address the problem of security …
security helped the evolution of steganography to address the problem of security …
[HTML][HTML] Impact of diversity management on organizational performance in hotel organizations: a conceptual framework
Reason of the study is to highlight the impact of diversity management on organizational
performance diversity management practice bring new and favorable opportunity in the …
performance diversity management practice bring new and favorable opportunity in the …
[HTML][HTML] Big data covid-19 systematic literature review: Pandemic crisis
The COVID-19 pandemic has frightened people worldwide, and coronavirus has become
the most commonly used phrase in recent years. Therefore, there is a need for a systematic …
the most commonly used phrase in recent years. Therefore, there is a need for a systematic …
Medium-long-term prediction of water level based on an improved spatio-temporal attention mechanism for long short-term memory networks
Y Wang, Y Huang, M Xiao, S Zhou, B Xiong, Z Jin - Journal of Hydrology, 2023 - Elsevier
River water level usually given by nonlinear and nonstationary time series and affected by
numerous complex spatial and temporal factors. But not all input factors are positively …
numerous complex spatial and temporal factors. But not all input factors are positively …
Internet of medical things (IoMT): applications, challenges, and prospects in a data-driven technology
Abstract Internet of Things technology (IoT) is a fast-growing area of computing, and it is
applicable to almost all human endeavor. The introduction of IoT into medicine brought …
applicable to almost all human endeavor. The introduction of IoT into medicine brought …