Computational intelligence and neuroscience
Jul 29, 2021
At present, machine learning artificial neural network technology, as one of the core technologies of enterprises, has received unprecedented attention. This technology is widely used in automatic driving, pattern recognition, teaching aid, product m...
Computational intelligence and neuroscience
Jul 29, 2021
Sensors, satellites, mobile devices, social media, e-commerce, and the Internet, among others, saturate us with data. The Internet of Things, in particular, enables massive amounts of data to be generated more quickly. The Internet of Things is a ter...
The Science of the total environment
Jul 27, 2021
Machine learning (ML) expands traditional data analysis and presents a range of opportunities in ecosystem service (ES) research, offering rapid processing of 'big data' and enabling significant advances in data description and predictive modelling. ...
Sensors (Basel, Switzerland)
Jul 25, 2021
The article presents a research in the field of complex sensing, detection, and recovery of communications networks applications and hardware, in case of failures, maloperations, or unauthorized intrusions. A case study, based on Davis AI engine oper...
Molecular diversity
Jul 19, 2021
Neurological disorders affect various aspects of life. Finding drugs for the central nervous system is a very challenging and complex task due to the involvement of the blood-brain barrier, P-glycoprotein, and the drug's high attrition rates. The ava...
Computational intelligence and neuroscience
Jul 14, 2021
In high-paced and efficient life and work, fatigue is one of the important factors that cause accidents such as traffic and medical accidents. This study designs a feature map-based pruning strategy (PFM), which effectively reduces redundant paramete...
Computational intelligence and neuroscience
Jul 5, 2021
In recent years, artificial intelligence supported by big data has gradually become more dependent on deep reinforcement learning. However, the application of deep reinforcement learning in artificial intelligence is limited by prior knowledge and mo...
Sensors (Basel, Switzerland)
Jun 30, 2021
Fine-grained change detection in sensor data is very challenging for artificial intelligence though it is critically important in practice. It is the process of identifying differences in the state of an object or phenomenon where the differences are...
Omics : a journal of integrative biology
Jun 25, 2021
Digital technologies such as the Internet of Things and artificial intelligence are changing how we live and do research, for example, the ways in which patient-reported outcomes and phenomics big data are curated and analyzed. Digital transformation...
Molecular diversity
Jun 23, 2021
The accumulation of massive data in the plethora of Cheminformatics databases has made the role of big data and artificial intelligence (AI) indispensable in drug design. This has necessitated the development of newer algorithms and architectures to ...