Machine learning algorithms for social media analysis: A survey

TK Balaji, CSR Annavarapu, A Bablani - Computer Science Review, 2021 - Elsevier
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 …

Integrated blockchain and edge computing systems: A survey, some research issues and challenges

R Yang, FR Yu, P Si, Z Yang… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
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 …

Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big …

K Chen, H Chen, C Zhou, Y Huang, X Qi, R Shen, F Liu… - Water research, 2020 - Elsevier
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 …

A survey on multi-objective hyperparameter optimization algorithms for machine learning

A Morales-Hernández, I Van Nieuwenhuyse… - Artificial Intelligence …, 2023 - Springer
Hyperparameter optimization (HPO) is a necessary step to ensure the best possible
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

SM Rashid, A Zare-Ghaleh-Seyyedi… - Journal of Energy …, 2023 - Elsevier
Simultaneous consumption of electrical and thermal energy management, together with
economic and technical advantages of close-to-consumption feeding of consumers, has …

Decoding tissue biomechanics using conformable electronic devices

H Yoon, JH Kim, D Sadat, A Barrett, SH Ko… - Nature Reviews …, 2024 - nature.com
Understanding the human body's tissue biomechanics—the physical deformation and
variations in intrinsic mechanical properties—has considerable potential in health …

Multiple convolutional neural networks for multivariate time series prediction

K Wang, K Li, L Zhou, Y Hu, Z Cheng, J Liu, C Chen - Neurocomputing, 2019 - Elsevier
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 …

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 …