Minas Dasygenis

Assistant Professor

University of Western Macedonia

Greece

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About

Minas Dasygenis is an Assistant Professor at the University of Western Macedonia, Greece. His research areas include optimization algorithms in smart agriculture, deep learning for medical image analysis, and the integration of blockchain and digital twins in supply chain management. His recent contributions encompass enhancing route planning in agricultural settings, improving lung condition categorization via AI, and advancing safety measures for autonomous vehicles.

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2025

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Collaborators (2)

Michael Dossis

Professor

University of Western Macedonia

GREECE

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Adam Stimoniaris

Assistant Professor

University of Western Macedonia

GREECE

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Minas Dasygenis

Research Interests

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Articles (20)

Enhancing the A Algorithm for Efficient Route Planning in Agricultural Environments with a Hybrid Heuristic Approach and Path Smoothing*

Optimizing Mobile Robot Navigation Based on A-Star Algorithm for Obstacle Avoidance in Smart Agriculture

Blockchain and Digital Twins in Smart Industry 4.0: The Use Case of Supply Chain-A Review of Integration Techniques and Applications

Optimizing Lung Condition Categorization through a Deep Learning Approach to Chest X-ray Image Analysis

Enhancing Pulmonary Diagnosis in Chest X-rays through Generative AI Techniques

An Advanced Deep Learning Framework for Multi-Class Diagnosis from Chest X-ray Images

Enhancing the Safety of Autonomous Vehicles: Semi-Supervised Anomaly Detection With Overhead Fisheye Perspective

Improving Passenger Detection With Overhead Fisheye Imaging

Multimodal Abnormal Event Detection in Public Transportation

A Novel Hardware Architecture for Enhancing the Keccak Hash Function in FPGA Devices

Enhancing the Hardware Pipelining Optimization Technique of the SHA-3 via FPGA

Area Division Using Affinity Propagation for Multi-Robot Coverage Path Planning

UGV Coverage Path Planning: An Energy-Efficient Approach through Turn Reduction

A Robust Hybrid Deep Convolutional Neural Network for COVID-19 Disease Identification from Chest X-ray Images

Effectiveness of the IoT in Regional Energy Transition: The Smart Bin Case Study

An Efficient Hybrid CNN Classification Model for Tomato Crop Disease

Improving the Efficiency of Modern Warehouses Using Smart Battery Placement

A Routing and Task-Allocation Algorithm for Robotic Groups in Warehouse Environments

Lightweight Neural Network for COVID-19 Detection from Chest X-ray Images Implemented on an Embedded System

Intelligent and Real-Time Detection and Classification Algorithm for Recycled Materials Using Convolutional Neural Networks

Collaborators (2)

Michael Dossis

Adam Stimoniaris

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