Machine learning algorithms for social media analysis: A survey
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …
Internet increase the study of these data. However, the efficient processing of such massive …
Integrated blockchain and edge computing systems: A survey, some research issues and challenges
Blockchain, as the underlying technology of crypto-currencies, has attracted significant
attention. It has been adopted in numerous applications, such as smart grid and Internet-of …
attention. It has been adopted in numerous applications, such as smart grid and Internet-of …
Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big …
The water quality prediction performance of machine learning models may be not only
dependent on the models, but also dependent on the parameters in data set chosen for …
dependent on the models, but also dependent on the parameters in data set chosen for …
A survey on multi-objective hyperparameter optimization algorithms for machine learning
Hyperparameter optimization (HPO) is a necessary step to ensure the best possible
performance of Machine Learning (ML) algorithms. Several methods have been developed …
performance of Machine Learning (ML) algorithms. Several methods have been developed …
Multi-objective design of the energy storage-based combined heat and power off-grid system to supply of thermal and electricity consumption energies
Simultaneous consumption of electrical and thermal energy management, together with
economic and technical advantages of close-to-consumption feeding of consumers, has …
economic and technical advantages of close-to-consumption feeding of consumers, has …
Decoding tissue biomechanics using conformable electronic devices
Understanding the human body's tissue biomechanics—the physical deformation and
variations in intrinsic mechanical properties—has considerable potential in health …
variations in intrinsic mechanical properties—has considerable potential in health …
Multiple convolutional neural networks for multivariate time series prediction
Multivariate time series prediction, with a profound impact on human social life, has been
attracting growing interest in machine learning research. However, the task of time series …
attracting growing interest in machine learning research. However, the task of time series …
Explainable artificial intelligence for intrusion detection system
S Patil, V Varadarajan, SM Mazhar, A Sahibzada… - Electronics, 2022 - mdpi.com
Intrusion detection systems are widely utilized in the cyber security field, to prevent and
mitigate threats. Intrusion detection systems (IDS) help to keep threats and vulnerabilities out …
mitigate threats. Intrusion detection systems (IDS) help to keep threats and vulnerabilities out …