SciELO

Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach

Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
The Raw Story

‘Bananas!’ CNN analyst stunned as race tightens in deep red state

Nicole Charky-Chami is a senior editor based in Los Angeles, writing and producing breaking news. She teaches journalism courses for UCLA Extension and previously taught at Loyola Marymount University ...
CNN

How far can Democrats ride the affordability argument? A progressive running in deep-red Tennessee is about to find out

Aftyn Behn, the Democratic nominee for next week’s special election in a heavily Republican Tennessee congressional district, has made affordability concerns a centerpiece of her campaign messaging – ...
IEEE

A Novel Transformer-CNN Hybrid Deep Learning Architecture for Robust Broad-Coverage Diagnosis of Eye Diseases on Color Fundus Images

Abstract: We present a novel and robust deep-learning architecture that takes into account the pathological characteristics of eye diseases on color fundus images. The proposed hybrid architecture is ...
Frontiers

Automated predictive framework using AI and deep learning approaches for early detection and classification of liver cancer

1 Department of General Surgery, Shangyu People’s Hospital of Shaoxing, Shaoxing, Zhejiang, China 2 Center of Gallbladder Disease, Shanghai East Hospital, Institute of Gallstone Disease, School of ...
GitHub

Deep Research Agent Tutorial

deep-research-agent-tutorial/ ├── BasicResearchAgency/ │ └── agency.py # 🎯 Single agent research (simplest) ├── DeepResearchAgency/ │ ├── agency.py # 🎯 Multi-agent handoffs pattern │ ├── ...
IEEE

Research Advances in Deep Learning for Image Semantic Segmentation Techniques

Abstract: Image semantic segmentation represents a significant area of research within the field of computer vision. With the advent of deep learning, image semantic segmentation techniques that ...
Frontiers

Comparative study of machine learning and deep learning in predicting the shear strength of marine sand and polymer layer interfaces interface under marine temperature effects

In marine engineering, polymer layers are anti-seepage barrier materials. The mechanical interaction between marine sand and polymer layer significantly affects overall structural stability. In this ...