Since the contextual information has an important impact on the speaker's emotional state,
how to use emotion-related context information to conduct feature learning is a key problem …

Task scheduling, which plays a crucial role in cloud computing and is the critical factor
influencing the performance of cloud computing, is an NP-hard problem that can be solved …

Rail corrugation often occurs on the high‐speed railway, which will affect ride comfort and
even the train operation safety in severe condition. Detection of rail corrugation wavelength …

Interest in stress recognition has notably increased over the past few years. In this work, we
focus on recognizing stress from speech. We propose the use of modulation spectral …

Recent trend of research is to hybridize two and more metaheuristics algorithms to obtain
superior solution in the field of optimization problems. This paper proposes a newly …

In multi-modal emotion aware frameworks, it is essential to estimate the emotional features
then fuse them to different degrees. This basically follows either a feature-level or decision …

Stress is defined as a form of psychalgia. Owing to the current day lifestyle of Homo-sapiens,
the most recurring pain is psychogenic; and the most damaging form of psychalgia. Stress in …

Speech Emotion Recognition (SER) is an active research area with wide range of
applications like medical, entertainment, monitoring in the field of Human Computer …

Stress emotion recognition from speech utterances seeks a humongous attention among the
researchers. Stress is one of the serious problems in the current society. Due to this people …

A face recognition system is a computer application proficient of verifying or identifying a
person from a video frame or a digital image from a video source. The human face acts a …