In this paper, a multi-input convolutional neural network (CNN) based on a uniform experimental design (UED) is proposed for gender classification applications. The proposed multi-input CNN uses ... Read More

Pedestrian detection is a high-profile topic in computer vision, in part because it has great relevance to autonomous driving and intelligent surveillance applications. However, most pedestrian ... Read More

To date, the aerodynamic coefficient of an aircraft has been obtained by computational fluid dynamics (CFD) or wind tunnel experiments, which have a high cost. To reduce the cost and period of a ... Read More

Color information is an important indicator of color matching. It is recommended to use hue (H) and saturation (S) to improve the accuracy of color analysis. The proposed method for dental shad ... Read More

A real-time voice recognition and marking system was developed in this study to automatically identify different voices of speakers. A microphone array was installed for audio reception. Pre-em ... Read More

Advances in computer vision (CV) have led to an increasing market for biometric recognition systems. However, as more users are registered in a system, its expanding dataset will increase the sy ... Read More

Acne is a skin problem that plagues many young people and adults. Even if it is cured, it leaves acne spots or acne scars and many individuals must use skincare products or undertake medical tre ... Read More

It is important to comprehend students’ academic emotions in interactive teaching environments. Academic emotions refer to facial expressions that students display along with their academic pe ... Read More