Human activity recognition (HAR) using Wi-Fi signals has gained significant attention due to its non-invasive nature, ubiquity, and respect for privacy, in contrast to camera-based systems. This study ...

Recently Convolution Neural Network (CNN) has become very popular in AI applications. CNN requires a lot of computational resources that has significant impact on chip size. In this paper we proposed ...

Addressing the issue of low accuracy in detecting suitable grasping regions for unknown objects through visual information, this paper proposes an Inception Transformer-CNN architecture for robot ...

This paper presents a trade-off study concerning the impact of convolutional neural network (CNN) architectures design on the performance of deep learning (DL) based channel estimation under ...

Breast cancer detection through mammograms is very crucial for early diagnosis, and tumor segmentation is an important step in treatment planning. This paper proposes a novel approach by combining ...