Amin Kargar

Orcid: 0000-0001-9402-000X

Affiliations:
  • University College Cork, Tyndall National Institute, Ireland
  • Teagasc Ashtown Food Research Centre, Horticulture Development Department, Dublin, Ireland
  • Shahid Bahonar University of Kerman (SBUK), Department of Electrical Engineering, Iran (2016)


According to our database1, Amin Kargar authored at least 15 papers between 2012 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Self-Supervised Incremental Learning for Insect Segmentation and Counting on Resource-Constrained Devices.
IEEE Internet Things J., 2026

2025
Tiny deep learning model for insect segmentation and counting on resource-constrained devices.
Comput. Electron. Agric., 2025

Concept Drift Mitigation on Resource-Constrained IoT Devices via Self-Learning.
Proceedings of the IEEE Sensors Applications Symposium, 2025

2024
Detecting Halyomorpha halys using a low-power edge-based monitoring system.
Comput. Electron. Agric., 2024

An Edge-Based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder.
IEEE Access, 2024

Y-Net: Insect Counting and Segmentation using Deep Learning on Embedded Devices.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023
CAE-CNNLoc: An Edge-based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder.
CoRR, 2023

Technological Innovations in Agriculture for Scouting Halyomorpha Halys in Orchards.
Proceedings of the 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2023

2022
A novel component mixing and mixed redundancy strategy for reliability optimization.
Int. J. Syst. Assur. Eng. Manag., 2022

A Novel Resource-Constrained Insect Monitoring System based on Machine Vision with Edge AI.
Proceedings of the 5th IEEE International Conference on Image Processing Applications and Systems, 2022

2020
H-V scan and diagonal trajectory: accurate and low power localization algorithms in WSNs.
J. Ambient Intell. Humaniz. Comput., 2020

Obstacle-resistant hybrid localisation algorithm.
IET Wirel. Sens. Syst., 2020

2018
Accurate 3D-Tracking System for Wireless Indoor Personal Positioning.
Proceedings of the 11th International Symposium on Communication Systems, 2018

2016
A novel anchor-based localization method.
Proceedings of the 10th International Symposium on Communication Systems, 2016

2012
Non-uniform distribution of multi-hop sensor networks: performance improvement and energy hole mitigation.
IET Wirel. Sens. Syst., 2012


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