Risk prediction in life insurance industry using supervised learning algorithms

N Boodhun, M Jayabalan - Complex & Intelligent Systems, 2018 - Springer
Risk assessment is a crucial element in the life insurance business to classify the applicants.
Companies perform underwriting process to make decisions on applications and to price …

A novel spatio-temporal convolutional neural framework for multimodal emotion recognition

M Sharafi, M Yazdchi, R Rasti, F Nasimi - Biomedical Signal Processing …, 2022 - Elsevier
Proposing a practical method for high-performance emotion recognition could facilitate
human–computer interaction. Among existing methods, deep learning techniques have …

[HTML][HTML] A novel facial emotion recognition scheme based on graph mining

AK Hassan, SN Mohammed - Defence Technology, 2020 - Elsevier
Recent years have seen an explosion in graph data from a variety of scientific, social and
technological fields. From these fields, emotion recognition is an interesting research area …

A multimodal emotion recognition system using facial landmark analysis

F Rahdari, E Rashedi, M Eftekhari - Iranian Journal of Science and …, 2019 - Springer
This paper introduces a multimodal emotion recognition system based on two different
modalities, ie, affective speech and facial expression. For affective speech, the common low …

Audio-visual emotion recognition using FCBF feature selection method and particle swarm optimization for fuzzy ARTMAP neural networks

D Gharavian, M Bejani, M Sheikhan - Multimedia tools and applications, 2017 - Springer
Humans use many modalities such as face, speech and body gesture to express their
feeling. So, to make emotional computers and make the human-computer interaction (HCI) …

Audio-Visual Emotion Recognition Using K-Means Clustering and Spatio-Temporal CNN

M Sharafi, M Yazdchi, J Rasti - 2023 6th International …, 2023 - ieeexplore.ieee.org
Emotion recognition is a challenging task due to the emotional gap between subjective
feeling and low-level audio-visual characteristics. Thus, the development of a feasible …

Audio-Visual Emotion Recognition Using Multilevel Fusion

M Shoaib, SU Haq, MS Shah, I Rasool… - The …, 2024 - journals.qurtuba.edu.pk
In the affective computing domain, many researchers have worked on automatic human
emotion recognition in recent years. Unimodal techniques, ie, audio, visual or physiological …

Searching Audio-Visual Clips for Dual-mode Chinese Emotional Speech Database

X Zhang, G Wu, F Ren - 2018 First Asian Conference on …, 2018 - ieeexplore.ieee.org
A widely accepted Chinese emotional speech database with abundant spontaneous
speeches is essential to Chinese emotional speech recognition and affective computing …

[PDF][PDF] Defence Technology

N Hussain, F Qayyum, RA Pasha, M Shah - 2020 - researchgate.net
abstract In this research, a detailed multi-physics study has been carried out by numerically
simulating a solid fractured gun barrel for 20 thermo-mechanical cycles. The numerical …

StayCentered-Methodenbasis eines Assistenzsystems für Centerlotsen (MACeLot)

G Brunnett, M Eibl, F Hamker, P Ohler, P Protzel - 2018 - monarch.qucosa.de
Abstract (DE) Wir berichten über die Ergebnisse, die im Rahmen des BMBF-Projektes
„StayCentered–Methodenbasis eines Assistenzsystems für Centerlotsen (MACeLot)“erzielt …