Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction
The two-layer fuzzy multiple random forest (TLFMRF) is proposed for speech emotion
recognition. When recognizing speech emotion, there are usually some problems. One is …
recognition. When recognizing speech emotion, there are usually some problems. One is …
Developing a trust model for pervasive computing based on Apriori association rules learning and Bayesian classification
Pervasive computing is one of the latest and more advanced paradigms currently available
in the computers arena. Its ability to provide the distribution of computational services within …
in the computers arena. Its ability to provide the distribution of computational services within …
A model for providing emotion awareness and feedback using fuzzy logic in online learning
Monitoring users' emotive states and using that information for providing feedback and
scaffolding is crucial. In the learning context, emotions can be used to increase students' …
scaffolding is crucial. In the learning context, emotions can be used to increase students' …
Using fuzzy logic to reduce ping-pong handover effects in LTE networks
KL Tsai, HY Liu, YW Liu - Soft Computing, 2016 - Springer
Recently, mobile communications have been widely used in people's everyday lives. Their
handover process facilitates people to transfer an ongoing call or a data session from one …
handover process facilitates people to transfer an ongoing call or a data session from one …
Long-term location privacy protection for location-based services in mobile cloud computing
The popularity of mobile devices, especially intelligent mobile phones, significantly prompt
various location-based services (LBSs) in cloud systems. These services not only greatly …
various location-based services (LBSs) in cloud systems. These services not only greatly …
Enhanced Emotion Recognition from Spoken Assamese Dialect: A Machine Learning Approach with Language-Independent Features.
N Choudhury, U Sharma - Traitement du Signal, 2023 - search.ebscohost.com
This study explores the uncharted territory of automated emotion recognition in the
Assamese language, a broadly spoken but under-researched dialect in Northeast India …
Assamese language, a broadly spoken but under-researched dialect in Northeast India …
[PDF][PDF] Emotional Simulation of Artificial Intelligence and Its Ethical Reflection
Y Wang, W Liu - Academic Journal of Humanities & Social …, 2023 - francis-press.com
Based on the proposal and development of artificial emotion theory, and driven by practical
needs, artificial intelligence emotion simulation technology attempts to impart emotion to …
needs, artificial intelligence emotion simulation technology attempts to impart emotion to …
Soft computing for security services in smart and ubiquitous environments
The recent advances in new generation information systems and global communication are
due to the development of many complex technical solutions and sophisticated methods for …
due to the development of many complex technical solutions and sophisticated methods for …
Two-layer fuzzy multiple random forest for speech emotion recognition
The two-layer fuzzy multiple random forest (TLFMRF) is proposed for speech emotion
recognition. When recognizing speech emotion, there are some problems. One is that …
recognition. When recognizing speech emotion, there are some problems. One is that …
Takagi–Sugeno fuzzy system and MTF-based panchromatic sharpening
The panchromatic sharpening or pansharpening refers to the fusion process of high-
resolution panchromatic image and low-resolution multi-spectral images. Modulation …
resolution panchromatic image and low-resolution multi-spectral images. Modulation …