The study seeks to determine the effect of blending the eradicate CNN-SVM model on accurately identifying tennis serve shot movements. The model utilizes a large dataset of high-definition video ...

Analysis of facial expressions for emotion detection is relevant to many areas of interest in computer science and engineering among them being, human-computer interaction (HCI), security, and health.

When observed on an X-ray or computed tomography (CT) scan, a nodule is a "spot on the lung." Actually, around one out of every 500 chest X-rays reveals a nodule. This little round or oval solid ...

A project by Icelandic firm s.ap arkitektar envisions the year 2150, when buildings and cities made from lava could be a reality.

Accurate facial expression recognition (FER) systems are critical for many applications, including human- computer interaction, emotion analysis, and healthcare. This study uses the CK+ dataset, which ...

We propose EmotionNet-X, a lightweight CNN architecture with 19.9M parameters and 18 ms/image inference time. Key innovations include a streamlined design (four convolutional layers, seven dropout ...

To solve the above crucial problems, a hierarchical fault diagnosis (HFD) method based on Gramian angular fields (GAFs) and convolutional neural networks constructed with support vector machine ...

Traditional Convolutional Neural Network (CNN) architectures face challenges in deployment on resource-constrained devices such as Internet of Things (IoT) platforms, mobile applications, and drones ...

CapsuleThermNet is designed by integrating CNN with Capsule Networks (CapsNet). In this architecture, CNNs are responsible for extracting spatial features from thermal facial images, while CapsNet ...

Satellite image classification holds significant importance across various applications, including agriculture, urban planning, and disaster management, due to the necessity for effective data ...