IEEE

Single-Channel Time-Frequency Overlapping Signal Modulation Recognition Network Based on Multi-Domain Adaptive Feature Fusion

Abstract: With the application of massive wireless devices, the receiver often receives mixed signals with time-frequency overlapping. Automatic modulation classification (AMC) of such mixed signals ...
IEEE

SCFNet:A Swin-CNN Synergistic Fusion Network For Urban and Rural Water Extraction In Remote Sensing Images

Accurate monitoring of water resources is essential for disaster risk reduction and sustainable development amid global climate change. At present, various methods based on convolutional neural ...
IEEE

Explainability of CNN Based Classification Models for Acoustic Signal

Abstract: Explainable Artificial Intelligence (XAI) has emerged as a critical tool for interpreting the predictions of complex deep learning models. While XAI has been increasingly applied in various ...
IEEE

FCTFANet: A Fused CNN-Transformer Feature Aggregator Network for Image Restoration

Abstract: Convolutional neural networks (CNNs) have been foundational in deep learning architectures for image processing, and recently, Transformer networks have emerged, bringing further ...
IEEE

Ensemble Data Extraction from Image Documents: A Comparison of Heuristic, CNN-Based, and Transformer Architecture

Abstract: Enterprises often maintain large volumes of scanned documents and images that contain critical data vital for driving organizational growth and success. In the finance sector, for example, ...
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

Mixed Intrusion Vibration Signal Recognition Based on Fiber Bragg Grating and RL-KAN-CNN

Abstract: Fiber Bragg Grating (FBG) sensing systems have demonstrated strong potential for distributed vibration monitoring, yet recognizing mixed intrusion events remains challenging due to the ...
IEEE

1D-DCNN: 1D Dilated CNN for Efficient Depression Diagnosis Based on Audio Signal

Abstract: Depression is a prevalent mental disorder that involves prolonged feelings of sadness or loss of interest in activities for a long time, even self-harm and suicidal. However, due to low ...
CNN

Trump announces ‘Patriot Games,’ a youth athletic competition celebrating United States’ 250th birthday

President Donald Trump announced Thursday the White House will host the “Patriot Games,” a competition with young athletes from across the county, as part of the celebration of the United States’ ...
IEEE

MST-ResFLNet: Multi-Scale Temporal-Spectral Feature Fusion for Heart Sound Signal Analysis

Abstract: Cardiac auscultation is a key non-invasive heart disease diagnostic method, but traditional heart sound diagnosis depends highly on physicians' experience, with subjective bias. Deep ...
IEEE

CNN-LSTM for Dynamic Gesture Recognition in Hand Electrostatic Signal Processing

Abstract: As a ubiquitous interaction modality in daily life, hand gestures convey rich interactive information. Particularly under the evolving paradigm of Natural User Interface (NUI), gesture ...
CNN

What Trump can learn from Vance ahead of his national address

President Donald Trump could do worse than stick to JD Vance’s script in his primetime national address on Wednesday night. The vice president is just back from Allentown, Pennsylvania, where he ...