Academic emotion classification using fer: A systematic review

JXY Lek, J Teo - Human Behavior and Emerging Technologies, 2023 - Wiley Online Library
Facial emotion expressions are among the most potent, natural, and powerful means of
human communication. Due to the COVID‐19 pandemic, educational institutions worldwide …

Applications of convolutional neural networks in education: A systematic literature review

LC e Silva, ÁACC Sobrinho, TD Cordeiro… - Expert Systems with …, 2023 - Elsevier
Applying artificial intelligence in education is relevant to addressing the current educational
crises. Many available solutions apply Convolutional Neural Networks (CNNs) to help …

Towards the Segmentation and Classification of White Blood Cell Cancer Using Hybrid Mask‐Recurrent Neural Network and Transfer Learning

SK Das, KS Islam, TA Neha, MM Khan… - Contrast Media & …, 2021 - Wiley Online Library
Inside the bone marrow, plasma cells are created, and they are a type of white blood cells.
They are made from B lymphocytes. Antigens are produced by plasma cells to combat …

DFNet: A Differential Feature-Incorporated Residual Network for Image Recognition

P Cai, Y Zhang, H He, Z Lei, S Gao - Journal of Bionic Engineering, 2025 - Springer
Residual neural network (ResNet) is a powerful neural network architecture that has proven
to be excellent in extracting spatial and channel-wise information of images. ResNet …

A Study on various Applications of Computer Vision for Teaching Learning in Classroom

A Shenoy, S Santhosh, S Kumar - 2022 6th International …, 2022 - ieeexplore.ieee.org
In several disciplines today, including computer vision, machine learning and deep learning
techniques have seen great success. The teaching and learning process is the most crucial …

Comparative Analysis of Contextual Relation Extraction based on Deep Learning Models

R Priyadharshini, G Jeyakodi, PS Bala - arXiv preprint arXiv:2309.06814, 2023 - arxiv.org
Contextual Relation Extraction (CRE) is mainly used for constructing a knowledge graph
with a help of ontology. It performs various tasks such as semantic search, query answering …

Towards Efficient Segmentation and Classification of White Blood Cell Cancer Using Deep Learning

A Iqbal, MF Ahmed, MNI Suvon… - 2021 Emerging …, 2021 - ieeexplore.ieee.org
White Blood cell cancer is a plasma cell cancer that starts in the bone marrow and leads to
the formation of abnormal plasma cells. Medical examiners must be exceedingly selective …

Rice paddy disease detection and disease affected area segmentation using convolutional neural networks

F Mashroor, IF Ishrak, SM Alvee… - TENCON 2021-2021 …, 2021 - ieeexplore.ieee.org
Bangladesh is the fourth largest rice-producing country in the world. Agriculture plays a vital
role in the country's economy. One of the major obstacles in rice production is rice paddy …

Emotion Detection Using Machine Learning: An Analytical Review

AJ Shawon, A Tabassum, R Mahmud - Malaysian Journal of Science …, 2024 - mjsat.com.my
This paper provides an analytical review of emotion detection using machine learning
techniques. The study focuses on the attempts made in the past and present to develop …

Review of Techniques for Human Facial Expressions Recognizing

N Safdarian, SA Sharifi - Available at SSRN 4975502 - papers.ssrn.com
Human beings communicate with each other through various verbal and non-verbal
methods. Communication among humans serves the purpose of information transfer. In …