The process of detecting sentiments of particular context from human speech emotions is
naturally in-built for humans unlike computers, where it is not possible to process human …

Speech emotion recognition (SER) as a Machine Learning (ML) problem continues to
garner a significant amount of research interest, especially in the affective computing …

Biogeography-based optimization (BBO) is a swarm intelligence optimization algorithm
based on migration and mutation operations, which is usually used to solve the complex …

Early discernment of drivers drowsy state may prevent numerous worldwide road accidents.
Electroencephalogram (EEG) signals provide valuable information about the neurological …

Human emotion analysis is one of the challenging tasks in today's scenario. The success
rate of human emotion recognition has high implication in practical applications such as …

Speech emotion recognition (SER) is an exciting topic in the field of human-machine
interaction. Several handcrafted features are used for SER. However, determining these …

Abstract Automatic Emotion Speech Recognition (ESR) is considered as an active research
field in the Human-Computer Interface (HCI). Typically, the ESR system is consisting of two …

One of the most important issues in human-computer interaction is to create a system that
can hear and respond correctly like a human. This has led to the design of the Automatic …

Human stress is a physical or emotional feeling. It can come from any situation or thought
that makes one feel frustrated or nervous. Different biological manifestations take place in …

In this paper, we introduce an urban delivery problem with trucks and drones. The problem
is to construct truck routings over a subset of parking points and customers, and drone …