New trends in emotion recognition using image analysis by neural networks, a systematic review

AL Cîrneanu, D Popescu, D Iordache - Sensors, 2023 - mdpi.com
Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …

A text mining-based approach for understanding Chinese railway incidents caused by electromagnetic interference

C Liu, S Yang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The high-speed railway is a deeply coupled system with strong and weak electrical
equipment, while complex electromagnetic interference (EMI) consequently brings potential …

Real-Time Emotion Recognition Using Deep Learning Methods: Systematic Review

M ALISAWI, N YALÇIN - Intelligent Methods in Engineering Sciences, 2023 - imiens.org
The seven basic facial expressions are the most important indicator of a person's
psychological state, regardless of gender, age, culture, or nationality. These expressions are …

Logarithmic Learning Differential Convolutional Neural Network

M Yasin, M Sarıgül, M Avci - Neural Networks, 2024 - Elsevier
Abstract Convolutional Neural Networks (CNNs) have revolutionized image classification
through their innovative design and training methodologies in computer vision. Differential …

Attitude deviation prediction of shield tunneling machine using Time-Aware LSTM networks

L Chen, Z Tian, S Zhou, Q Gong, H Di - Transportation Geotechnics, 2024 - Elsevier
In shield tunneling projects, the precise prediction and control of the shield machine's
attitude is critical for quality assurance. Existing prediction methods utilize historical data to …

[HTML][HTML] Gait acceleration-based diabetes detection using hybrid deep learning

LZ Chee, S Sivakumar, KH Lim, AA Gopalai - Biomedical Signal Processing …, 2024 - Elsevier
Diabetes is a medical condition affecting multiple organs and systems due to high blood
glucose levels in the body which cause diabetic neuropathy and diabetic foot ulcers …

An adaptive early stopping technique for DenseNet169-based knee osteoarthritis detection model

BAS Al-Rimy, F Saeed, M Al-Sarem, AM Albarrak… - Diagnostics, 2023 - mdpi.com
Knee osteoarthritis (OA) detection is an important area of research in health informatics that
aims to improve the accuracy of diagnosing this debilitating condition. In this paper, we …

Unleashing the transferability power of unsupervised pre-training for emotion recognition in masked and unmasked facial images

M D'incà, C Beyan, R Niewiadomski, S Barattin… - IEEE …, 2023 - ieeexplore.ieee.org
Facial expressions are an essential part of nonverbal communication and major indicators of
human emotions. Effective automatic Facial Emotion Recognition (FER) systems can …

Classification of computerized tomography images to diagnose non-small cell lung cancer using a hybrid model

U Demiroğlu, B Şenol, M Yildirim, Y Eroğlu - Multimedia Tools and …, 2023 - Springer
Lung cancer arises from the abnormal and uncontrolled reproduction of parenchymal cells.
Among all cancer cases, lung cancer is one of the prevailing types. Prevalence and death …

ECDX: Energy consumption prediction model based on distance correlation and XGBoost for edge data center

C Li, D Zhu, C Hu, X Li, S Nan, H Huang - Information Sciences, 2023 - Elsevier
The rapid development of artificial intelligence (AI) and edge computing technology has
promoted the rapid growth of the number of data centers, but also caused large energy …