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 ...
IEEE

Multi-Task 3D Model for Lung Nodule Feature Extraction and Classification Using CNN and Transformer

Abstract: Lung cancer early detection and therapy rely on an accurate diagnosis of lung nodules. Traditional computeraided diagnosis systems(CAD) typically treat nodule malignancy classification as a ...
IEEE

Signal Bandwidth Estimation for Jamming Detection: Skip Connection and LARS Augmented Mask R-CNN

Abstract: Accurate bandwidth estimation is crucial for achieving effective jamming localization and suppression in the domain of jamming detection. Traditional methods exhibit low accuracy and a ...
IEEE

Polyp Segmentation with Transformer-CNN Integration and Multi-Scale Feature Fusion

Abstract: Polyp segmentation is, thus far, an essential task in the medical domain, especially in diagnosing and treating colorectal diseases. Polyps are abnormal tissue developments, which emerge on ...
Military.com

What Signal Is, and Why It Was Never Built for War Rooms

The Pentagon’s latest report makes one thing clear: Signal protects conversations, but it was never designed to safeguard U.S. war plans — and using it that way carried real risk for American forces.
IEEE

CNN-Based Robust Harmonic Feature Extraction for Open-Circuit Fault Detection and Localization in Modular Multilevel Converters

Abstract: This letter presents a novel convolutional neural network (CNN)-based methodology for robust and accurate open-circuit fault detection and submodule (SM) localization in modular multilevel ...
The New York Times

CNN, Unwanted by Netflix, Is Excluded From a Sale, for Now

The prospect of Paramount’s buying Warner Bros. Discovery had led CNN journalists to wonder if the channel may be combined with CBS News. Instead, CNN will remain in a separate corporate entity. By ...
IEEE

CTLE: A Hybrid CNN-Transformer-LSTM Equalizer with Multi-Head Attention for Low-BER Signal Recovery in Multipath Fading Channel

Abstract: Traditional channel equalizers, such as linear FIR filters and decision feedback equalizers (DFE), face limitations including noise amplification at ...
IEEE

Synergistic Deep Learning Pipeline for Dermatological Image Classification: Cascaded U-Net Denoising and Feature-Selective CNN with Fused Feature Extraction

Abstract: The utilization of skin disease images in diagnosis is increasingly necessitating high-quality visuals to ensure precise identification and treatment. Nevertheless, the presence of noise in ...