IEEE

A Lightweight Network of CNN and Transformer Feature Fusion for Image Super-Resolution

Abstract: Currently, many super-resolution (SR) methods based on CNNs and Transformers have become increasingly complex, which imposes significant limitations on their application in mobile platforms.
IEEE

A Hybrid Approach Using CNN Feature Extraction and SVM/XGBoost for Lung Nodule Classification

Abstract: Early detection of lung cancer is highly beneficial for patient survival. This paper proposes a hybrid deep learning diagnostic pipeline for pulmonary nodules in chest CT. We constructed a ...

How Google’s Lang Extract Turns Messy Documents into Trustworthy JSON and Interactive HTML

Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.
IEEE

Multilayer Feature Extraction Object Detection Based on Deep Forest

Abstract: With the emergence of various large-scale deep-learning models, in remote sensing images, the object detection effect is also plagued by complex calculations, high costs, and high ...
IEEE

A Cardiac-Gating Method for Human Cerebral Hemodynamic Signal Extraction

Abstract: Cerebral hemodynamic monitoring is crucial for diagnosing neurovascular conditions, but existing imaging modalities that have been used on the clinical side have the limitations of bulky ...
IEEE

Feature Extraction Based On Signal Similarity for Damage Detection with Ultrasonic Guided Waves

Abstract: Structural health monitoring is crucial for safeguarding critical infrastructure and requires the use of traceable methods. Hence, using explainable machine learning (ML) becomes ...
IEEE

Bi-ACTCNet: A Bidirectional Channel Attention and Mutual-Cross-Attention Temporal Feature Extraction Network for Motor-Rest Classification in Motor Imagery

Abstract: Combining brain–computer interface (BCI) technology with the Internet of Things (IoT) for practical motor rehabilitation applications is a critical research direction aimed at enhancing the ...
IEEE

Mask R-CNN-based bushing segmentation with refined feature extraction and precise localization

Abstract: Accurate localization and segmentation of power equipment are critical for automated inspection systems, particularly in detecting structural and thermal anomalies. However, the task remains ...
IEEE

A Hybrid Feature Extraction and Classification Framework for Depression Detection using Deep Learning and Machine Learning Techniques

Abstract: Depression is most common mental disorder that is affecting approximately 280 million individuals in the world. The stigma and lack of acceptance and awareness is still influencing people ...
IEEE

Human Age Group Classification Using CNN and Vision Transformer-Based Feature Extraction

Abstract: The human face reveals significant information about an individual’s identity, age, gender, emotion, and ethnicity. In face-to-face communication, age plays a vital role, influencing ...
IEEE

A Dynamic Feature Caching Mechanism for Accelerating CNN Real-time Inference

Abstract: To address the computational efficiency bottle-neck faced by large-scale convolutional neural networks when deployed on edge devices, this paper proposes a dynamic feature caching mechanism ...
The New York Times

Stephen Miller Asserts U.S. Has Right to Take Greenland

In a CNN interview, the Trump aide also echoed the president’s intent to run Venezuela as he laid out a case for the United States to control weaker states by flexing its military might. By Chris ...