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

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 ...

10 things I learned from burning myself out with AI coding agents

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...
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

Hybrid Feature Extraction and Deep Learning Framework for Power Transformer Fault Classification: A Real-World Case Study

Abstract: Reliable fault diagnosis in power transformers is paramount for ensuring grid stability and safeguarding critical assets. This paper proposes a novel deep learning-based diagnostic framework ...
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

Graph-Based Radiomics Feature Extraction From 2D Retina Images

Abstract: Medical image analysis offers valuable visual support for clinical decision-making, yet the incorporation of quantitative data is essential for deeper diagnostic insight. The radiomics ...
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

Automatic Extraction of Open-Pit Mining Areas Based on Multilevel Feature Fusion and Vegetation Feature Enhancement

Abstract: Accurately extracting open-pit mining areas (OMAs) from high-resolution remote sensing imagery is of great significance for ecological restoration and sustainable resource management.
Barron's

Fed Officials Signal More Cuts Could Come in 2026: Minutes

Federal Reserve officials were more divided over December’s rate cut than the tally of votes from the meeting suggested. The minutes showed that several policymakers who supported the move said they ...
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 ...