IEEE

A Fully Automated SPICE-Compatible Netlist Extraction From Image Using Deep Learning and Image Preprocessing Techniques

Abstract: This paper presents an automated framework for generating SPICE compatible netlists from both printed and hand-drawn circuit diagrams. The system combines advanced image preprocessing, deep ...
AlphaGalileo

From images to insight: AI builds the first pediatric reference map for meibomian glands

Artificial intelligence (AI) is increasingly reshaping medical imaging, yet its progress depends heavily on the availability of reliable, ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Most RAG systems don’t understand sophisticated documents — they shred them

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...
IEEE

Evaluation of Image Preprocessing Algorithms for Foggy Scene Enhancement

Abstract: Fog significantly degrades image quality by reducing contrast, detail, and color fidelity. This degradation negatively impacts computer vision tasks. This work presents a comparative ...
GitHub

Clarification on Preprocessing for Images of Different Resolutions

Hi. thanks for open-sourcing the amazing Perception Encoder! Could you clarify two points about image preprocessing, especially referencing Table 33's description ("trained with dynamic tiling for ...
GitHub

GitHub - harshrajput4343/Data-Labeling-and-Preprocessing-Pipeline-using-AWS-SageMaker-Ground-Truth-and-Step-Functions: This project implements an end-to-end AWS-based data ...

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