IEEE

A Hybrid Framework for Acute Lymphoblastic Leukemia Identification Utilizing VIT-CNN Fusion and Immunologically Inspired Deep Feature Selection

Abstract: Acute Lymphoblastic Leukemia (ALL) is a serious blood cancer characterized by the abnormal growth of progenitor white blood cells, which interferes with normal blood cell production. Early ...
IEEE

A Novel De-Mirroring Approach for Capacitance and Resistance Extraction in Complementary FET: A Quasi-Static Small Signal Model

Abstract: A quasi-static small signal model is vitally important to bridge the gap in device circuit co-design. To the best of our knowledge, for the first time in this paper, we proposed the ...
IEEE

A Dual-Branch Global-Local Feature Learning Network by Integrating CNN and Transformer for Remote Sensing Image Super-Resolution

Abstract: In the task of remote sensing image super-resolution reconstruction, both CNN and Transformer have demonstrated remarkable performance. However, many existing two-branch models only fuse the ...
IEEE

Data Analytics for Automated Feature Extraction and Anomaly Detection in a Class of Industrial Manufacturing Processes

Abstract: Industry 4.0/Smart Manufacturing is transforming the manufacturing industry through the integration of technologies such as the Internet of Things (IoT), big data, and cloud computing. These ...