Speech emotion recognition in neurological disorders using convolutional neural network
Detecting emotions from the speech is one of the emergent research fields in the area of
human information processing. Expressing emotion is a very difficult task for a person with …
human information processing. Expressing emotion is a very difficult task for a person with …
A deep learning inspired belief rule-based expert system
Recent technological advancements in the area of the Internet of Things (IoT) and cloud
services, enable the generation of large amounts of raw data. However, the accurate …
services, enable the generation of large amounts of raw data. However, the accurate …
An integrated real-time deep learning and belief rule base intelligent system to assess facial expression under uncertainty
Nowadays, the recognition of facial expression draws significant attention in various
domains. In view of this, a realtime facial expression recognition system has been …
domains. In view of this, a realtime facial expression recognition system has been …
BRB prediction with customized attributes weights and tradeoff analysis for concurrent fault diagnosis
L Chang, X Xu, Z Liu, B Qian, X Xu… - IEEE Systems …, 2020 - ieeexplore.ieee.org
Comprised of multiple belief rules that are close to human knowledge representation, the
belief rule base (BRB) has the ability to make full use of both data obtained from historic …
belief rule base (BRB) has the ability to make full use of both data obtained from historic …
Architecture and system design for marine cloud computing assets
The Ocean provides benefits of free cooling for cloud computing platforms. However, the use
of the ocean for hosting cloud platforms needs to consider three challenges. The first …
of the ocean for hosting cloud platforms needs to consider three challenges. The first …
A learning mechanism for brbes using enhanced belief rule-based adaptive differential evolution
RU Islam, MS Hossain… - 2020 Joint 9th …, 2020 - ieeexplore.ieee.org
Nowadays, belief rule-based expert systems (BRBESs) are widely used in various domains
which provides a framework to handle qualitative and quantitative data by addressing …
which provides a framework to handle qualitative and quantitative data by addressing …
Machine learning approach for energy consumption prediction in datacenters
Cloud Computing represents the ideal solution for end-users either small medium
enterprises or simple clients. This solution is given as a for clients to go from classic service …
enterprises or simple clients. This solution is given as a for clients to go from classic service …
Technological innovation capability evaluation of high-tech firms using conjunctive and disjunctive belief rule-based expert system: a comparative study
Abstract Technological Innovation Capability (TIC) is an intricate concept which defines the
essence of a firm's influence in the long run. It is associated with multiple quantitative and …
essence of a firm's influence in the long run. It is associated with multiple quantitative and …
Automatic database troubleshooting of Azure SQL Databases
D Dundjerski, M Tomašević - IEEE Transactions on Cloud …, 2020 - ieeexplore.ieee.org
Exponentially growing number of workloads has been transferred from on-premises to the
cloud environment during last decade. It incurs a constantly increasing load on the …
cloud environment during last decade. It incurs a constantly increasing load on the …
Inference and multi-level learning in a belief rule-based expert system to predict flooding
RU Islam, MS Hossain… - 2020 Joint 9th …, 2020 - ieeexplore.ieee.org
Floods are one of the most dangerous catastrophic events. By the year 2050 flooding due to
rise of ocean level may cost one trillion USD to coastal cities. Since flooding involves multi …
rise of ocean level may cost one trillion USD to coastal cities. Since flooding involves multi …