A review on the long short-term memory model
Long short-term memory (LSTM) has transformed both machine learning and
neurocomputing fields. According to several online sources, this model has improved …
neurocomputing fields. According to several online sources, this model has improved …
Deep learning in mental health outcome research: a scoping review
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 …
an individual's physical health. Recently, artificial intelligence (AI) methods have been …
Visual place recognition: A survey from deep learning perspective
Visual place recognition has attracted widespread research interest in multiple fields such
as computer vision and robotics. Recently, researchers have employed advanced deep …
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 …
limited ability to process competing sources, attention mechanisms select, modulate, and …
Exploring global diverse attention via pairwise temporal relation for video summarization
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 …
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
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 …
real-life communication, non-verbal sounds within an utterance also play an important role …
Speech emotion recognition considering nonverbal vocalization in affective conversations
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 …
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
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 …
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 …
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 …
evolvement of positive psychology, the psychological research has a tremendous …