International Conference on Computer and Knowledge Engineering

Home / 15th International Conference on Computer and Knowledge Engineering

Hardware-Efficient Pruned CNN Optimized by Neural Architecture Search and Genetic Algorithm for Diabetic Retinopathy Detection on STM32F746

Authors :

Omid Askari Haddad¹ Sara Ershadi-Nasab²

1- MSc Student 2- Assistant Professor

Keywords :

Diabetic retinopathy detection،Genetic algorithm،Convolutional neural network،NSGA-II algorithm،Arm microcontroller

Abstract :

Scalable screening for diabetic retinopathy remains difficult to deliver where it is most needed. We present a hardware-efficient convolutional neural network (CNN) designed for reliable, on-device DR detection. Our approach integrates a compact CNN architecture with structured pruning and a Non-dominated Sorting Genetic Algorithm II (NSGA-II) to work under strict memory and compute budgets. We validate the approach on standard DR datasets and demonstrate deployment on an ARM microcontroller, highlighting its practical feasibility for portable screening tools in rural and underserved clinics. This work contributes (1) an end-to-end, resource-aware pipeline that couples architecture search with pruning, (2) a principled optimization strategy that balances diagnostic accuracy and efficiency, and (3) an embedded deployment that illustrates scalable, accessible AI-driven DR screening.

Papers List

List of archived papers

Robust Learning to Learn Graph Topologies

Navid Akhavan Attar - Ali Fahim

Cardiology Disease Diagnosis by Analyzing Histological Microscopic Images Using Deep Learning

Maria Salehpanah - Jafar Tanha - Zahra Jafari - SeyedEhsan Roshan - Sajad Rezaei

Enhancing Persian Word Sense Disambiguation with Large Language Models: Techniques and Applications

Fatemeh Zahra Arshia - Saeedeh Sadat Sadidpour

Paddy Plant Stress Identification Using Few-Shot Learning Framework

Ervin Gubin Moung - Pavindrah Naidu a/l Narayanasamy Naiidu - Maisarah Mohd Sufian - Valentino Liaw - Ali Farzamnia - Lorita Angeline

Pyramid Transformer for Traffic Sign Detection

Omid Nejati manzari - Amin Boudesh - Shahriar B. Shokouhi

Extracting Major Topics of COVID-19 Related Tweets

Faezeh Azizi - Hamed Vahdat-Nejad - Hamideh Hajiabadi - Mohammad Hossein Khosravi

MC-BioCLIPSR: A Mamba-CNN Hybrid Network with BioMedCLIP-Guided Loss for High-Resolution Brain MRI Reconstruction

Amin Kazempour - Jafar Tanha - SeyedEhsan Roshan - Mahdi Zarrin - Haniyeh Nikkhah

Load Frequency Control of Geothermal Power Plant Incorporated Two-Area Hydro-Thermal System with AC-DC Lines

Shanker J Gambhire - Malligunta Kiran Kumar - Hossein Shahinzadeh - Mohammad-hossein Fayaz-dastgerdi - B. Srikanth Goud - Ch.Naga sai Kalyan

Efficient Object Detection using Deep Reinforcement Learning and Capsule Networks

Sobhan Siamak - Eghbal Mansoori

A New Inter-layer Similarity metric for link prediction in multilayer networks

Alireza Abdollahpouri - Samira Rafiee