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

Radar-Based Vital Signal Extraction via Morphological Component Analysis

Abstract: Noncontact monitoring of cardiopulmonary activity using radar has been a long-standing challenge, especially in dynamic environments where motion artifacts and environmental clutter ...
IEEE

Guardian Veil: Fortifying IoT Locking Systems with CNN Embedded QR Codes and Signal Sorcery

Abstract: With the rise of IoT-driven locking mechanisms, integrating advanced technologies like steganography, QR codes, and embedded systems presents a promising avenue for strengthening ...
Ars Technica

Anthropic launches Cowork, a Claude Code-like for general computing

Anthropic’s agentic tool Claude Code has been an enormous hit with some software developers and hobbyists, and now the company is bringing that modality to more general office work with a new feature ...
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

Determination of the most significant features for hyperglycemia detection and their extraction from electrocardiogram signal

Abstract: Hyperglycemia, characterized by elevated blood glucose levels, is prevalent among diabetic patients and poses risks of severe complications if left unmanaged. This study investigates the ...
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 ...
IEEE

Reliability Test Optimization of Mixed-Signal ICs Using Few-Shot Characterization and CNN-LSSVM Enhanced Performance Drift Estimation

Abstract: Mixed-signal integrated circuits (ICs) are critical in various electronic systems, requiring precise and cost-effective testing to ensure their functionality under real-world conditions. A ...
IEEE

SCAFNet: A Semantic Compensated Adaptive Fusion Network for Remote Sensing Images Change Detection

Abstract: Current CNN-Transformer hybrid methods for remote sensing change detection aim to address the limitations of CNNs’ constrained receptive fields and Transformers’ local detail insensitivity.