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Facial expression recognition using machine learning and deep learning techniques: A systematic review
In the contemporary era, Facial Expression Recognition (FER) plays a pivotal role in
numerous fields due to its vast application areas, such as e-learning, healthcare, marketing …
numerous fields due to its vast application areas, such as e-learning, healthcare, marketing …
[HTML][HTML] Detection of human emotions through facial expressions using hybrid convolutional neural network-recurrent neural network algorithm
Cognitive science plays a pivotal role in deciphering human behavior by understanding and
interpreting emotions prevalent in everyday life. These emotions manifest through various …
interpreting emotions prevalent in everyday life. These emotions manifest through various …
Active Speaker Detection using Audio, Visual and Depth Modalities: A Survey
The rapid progress of multimodal signal processing in recent years has cleared the way for
novel applications in human-computer interaction, surveillance, and telecommunication …
novel applications in human-computer interaction, surveillance, and telecommunication …
Review of automated depression detection: Social posts, audio and video, open challenges and future direction
Depression is the primary cause of illness and injury in the country, with over 280 million
people suffering from it as per the 2021 survey. Depression is one of the most common …
people suffering from it as per the 2021 survey. Depression is one of the most common …
Performance comparison of facial emotion recognition: a transfer learning-based driver assistance framework for in-vehicle applications
This research proposes facial emotion recognition (FER) using a transfer learning-based
approach for a safe drive. To deal with the increasing road accidents, it is important to keep …
approach for a safe drive. To deal with the increasing road accidents, it is important to keep …
A fast and light fingerprint-matching model based on deep learning approaches
Nowadays, biometric identification has become very important due to the need to identify
people in different places and devices. Among these features, the fingerprint has received …
people in different places and devices. Among these features, the fingerprint has received …
Non-intrusive load monitoring method with inception structured CNN
D Ding, J Li, K Zhang, H Wang, K Wang, T Cao - Applied Intelligence, 2022 - Springer
Non-intrusive load monitoring (NILM) is an important part of smart grid, which can recognize
home electrical appliances. Compared to traditional statistical manners, deep learning can …
home electrical appliances. Compared to traditional statistical manners, deep learning can …
Emotion Recognition Based on Streaming Real-Time Video with Deep Learning Approach
Emotion recognition has gained a lot of traction lately. It is also a very fast growing field with
a huge amount of investment and research going into it. In this paper, we discuss video …
a huge amount of investment and research going into it. In this paper, we discuss video …
Realtime Feature Engineering for Anomaly Detection in IoT Based MQTT Networks
The MQTTset dataset has been extensively investigated for enhancing anomaly detection in
IoT-based systems, with a focus on identifying Denial of Service (DoS) attacks. The research …
IoT-based systems, with a focus on identifying Denial of Service (DoS) attacks. The research …
Machine Learning and Supply Chain Management
Scholars have turned to highly capable machine learning (ML) approaches for analyzing
and interpreting huge amounts of data due to the limitations of older methodologies. There …
and interpreting huge amounts of data due to the limitations of older methodologies. There …