A review on the long short-term memory model

G Van Houdt, C Mosquera, G Nápoles - Artificial Intelligence Review, 2020 - Springer
Long short-term memory (LSTM) has transformed both machine learning and
neurocomputing fields. According to several online sources, this model has improved …

Deep learning in mental health outcome research: a scoping review

C Su, Z Xu, J Pathak, F Wang - Translational Psychiatry, 2020 - nature.com
Mental illnesses, such as depression, are highly prevalent and have been shown to impact
an individual's physical health. Recently, artificial intelligence (AI) methods have been …

Visual place recognition: A survey from deep learning perspective

X Zhang, L Wang, Y Su - Pattern Recognition, 2021 - Elsevier
Visual place recognition has attracted widespread research interest in multiple fields such
as computer vision and robotics. Recently, researchers have employed advanced deep …

Attention, please! A survey of neural attention models in deep learning

A de Santana Correia, EL Colombini - Artificial Intelligence Review, 2022 - Springer
In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …

Exploring global diverse attention via pairwise temporal relation for video summarization

P Li, Q Ye, L Zhang, L Yuan, X Xu, L Shao - Pattern Recognition, 2021 - Elsevier
Video summarization is an effective way to facilitate video searching and browsing. Most of
existing systems employ encoder-decoder based recurrent neural networks, which fail to …

Speech emotion recognition using deep neural network considering verbal and nonverbal speech sounds

KY Huang, CH Wu, QB Hong, MH Su… - ICASSP 2019-2019 …, 2019 - ieeexplore.ieee.org
Speech emotion recognition is becoming increasingly important for many applications. In
real-life communication, non-verbal sounds within an utterance also play an important role …

Speech emotion recognition considering nonverbal vocalization in affective conversations

JH Hsu, MH Su, CH Wu… - IEEE/ACM Transactions on …, 2021 - ieeexplore.ieee.org
In real-life communication, nonverbal vocalization such as laughter, cries or other emotion
interjections, within an utterance play an important role for emotion expression. In previous …

Implementation of various artificial intelligence approach for prediction and recommendation of personality disorder patient

H Sulistiani, K Muludi, A Syarif - Journal of Physics: Conference …, 2021 - iopscience.iop.org
Personality disorder is known as chronic psychological disorders. It is a serious problem of
the individual character and behavior that affect work, family and social life of a person. In …

Long short-term memory recurrent neural network for tidal level forecasting

CH Yang, CH Wu, CM Hsieh - IEEE Access, 2020 - ieeexplore.ieee.org
Tide is a phenomenon of water level change caused by gravity. Tidal level forecasting is not
only a key theoretical topic but also crucial in coastal and ocean engineering applications …

Speech emotion recognition UsingConvolutional neural network and long-short TermMemory

R Dangol, A Alsadoon, PWC Prasad, I Seher… - Multimedia Tools and …, 2020 - Springer
Human-Robot interactions involve human intentions and human emotion. After the
evolvement of positive psychology, the psychological research has a tremendous …