Deep learning models and traditional automated techniques for brain tumor segmentation in MRI: a review

P Jyothi, AR Singh - Artificial intelligence review, 2023 - Springer
Brain is an amazing organ that controls all activities of a human. Any abnormality in the
shape of anatomical regions of the brain needs to be detected as early as possible to reduce …

Facial micro emotion detection and classification using swarm intelligence based modified convolutional network

AN Arun, P Maheswaravenkatesh… - Expert Systems with …, 2023 - Elsevier
Emotions are what makes us humans. Recognizing human emotions from facial micro
expression features help us learn the true emotional state of a person. This technique of …

A framework for facial expression recognition using deep self-attention network

S Indolia, S Nigam, R Singh - Journal of Ambient Intelligence and …, 2023 - Springer
Facial expression recognition (FER) is a widely used technique for emotion recognition. In
recent years, numerous deep convolutional neural network (CNN) models have been …

Using multi-inception CNN for face emotion recognition

A Altaher, Z Salekshahrezaee… - Journal of …, 2020 - journalbe.com
One integral and necessary part of human behavior is emotion, which affects the way people
communicate. Although human beings can recognize and interpret facial expressions, the …

Occlusion-aware facial expression recognition: A deep learning approach

P Naveen - Multimedia Tools and Applications, 2024 - Springer
Facial expression recognition plays a crucial role in computer vision and human–computer
interaction, with applications ranging from emotion analysis to social robotics. However …

FL-CapsNet: facial localization augmented capsule network for human emotion recognition

B Sivaiah, NP Gopalan, C Mala, S Lavanya - Signal, Image and Video …, 2023 - Springer
Emotion is an important aspect of effective human communication, and hence, facial
emotion recognition (FER) has become essential in human–computer interaction systems …

Unsupervised Deep Learning Image Verification Method

E Solomon, A Woubie, ES Emiru - arXiv preprint arXiv:2312.14395, 2023 - arxiv.org
Although deep learning are commonly employed for image recognition, usually huge
amount of labeled training data is required, which may not always be readily available. This …

An adaptive gravitational search optimization (AGSO)‐based convolutional neural network—long short‐term memory (CNN‐LSTM) approach for face recognition and …

M Chengathir Selvi, J Maruthupandi… - Concurrency and …, 2024 - Wiley Online Library
Face recognition and classification have gained increasing attraction in the recent decades
due to their widespread adoption in real time application systems. Most of the conventional …

A novel leaky rectified triangle linear unit based deep convolutional neural network for facial emotion recognition

S Eluri - Multimedia Tools and Applications, 2023 - Springer
Abstract In numerous fields, Facial Expression Recognitions (FER) is employed, which is a
vital topic. The Facial Expressions (FE) is categorized by the FER into human emotions …

Image Clustering using Restricted Boltzman Machine

A Woubie, E Solomon, ES Emiru - arXiv preprint arXiv:2312.13845, 2023 - arxiv.org
In various verification systems, Restricted Boltzmann Machines (RBMs) have demonstrated
their efficacy in both front-end and back-end processes. In this work, we propose the use of …