Khadijeh Alibabaei

According to our database, Khadijeh Alibabaei authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

iMagine: AI-Powered Image Data Analysis in Aquatic Science.

Elnaz Azmi, Khadijeh Alibabaei, Valentin Kozlov, Álvaro López García, Dick Schaap, Gergely Sipos

Proceedings of the Platform for Advanced Scientific Computing Conference, 2025

Exploring Federated Learning for Thermal Urban Feature Segmentation - A Comparison of Centralized and Decentralized Approaches.

Leonhard Duda, Khadijeh Alibabaei, Elena Vollmer, Leon Klug, Valentin Kozlov, Lisana Berberi, Mishal Benz, Rebekka Volk, Juan Pedro Gutiérrez H. Muriedas, Markus Götz, Judith Sáinz-Pardo Díaz, Álvaro López García, Frank Schultmann, Achim Streit

Proceedings of the Computational Science and Its Applications - ICCSA 2025 - 25th International Conference, Istanbul, Turkey, June 30, 2025

2024

Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas.

Judith Sáinz-Pardo Díaz, María Castrillo, Juraj Bartok, Ignacio Heredia Cacha, Irina Malkin Ondík, Ivan Martynovskyi, Khadijeh Alibabaei, Lisana Berberi, Valentin Kozlov, Álvaro López García

Earth Sci. Informatics, December, 2024

Leveraging Machine Learning for Weed Management and Crop Enhancement: Vineyard Flora Classification.

Ana Corceiro, Nuno Pereira, Khadijeh Alibabaei, Pedro Dinis Gaspar

Algorithms, 2024

Making Federated Learning Accessible to Scientists: The AI4EOSC Approach.

Judith Sáinz-Pardo Díaz, Andrés Heredia Canales, Ignacio Heredia Cacha, Viet D. Tran, Giang T. Nguyen, Khadijeh Alibabaei, Marta Obregón Ruiz, Susana Rebolledo Ruiz, Álvaro López García

Proceedings of the ACM Workshop on Information Hiding and Multimedia Security, 2024

2023

Application of Artificial Intelligence algorithms to support decision-making in agriculture activities

Khadijeh Alibabaei

PhD thesis, 2023

2022

Real-Time Weed Control Application Using a Jetson Nano Edge Device and a Spray Mechanism.

Eduardo Assunção, Pedro Dinis Gaspar, Ricardo Mesquita, Maria P. Simões, Khadijeh Alibabaei, André Veiros, Hugo Proença

Remote. Sens., 2022

A Review of the Challenges of Using Deep Learning Algorithms to Support Decision-Making in Agricultural Activities.

Khadijeh Alibabaei, Pedro Dinis Gaspar, Tânia M. Lima, Rebeca M. Campos, Inês Girão, Jorge Monteiro, Carlos M. Lopes

Remote. Sens., 2022

Real-Time Image Detection for Edge Devices: A Peach Fruit Detection Application.

Eduardo Assunção, Pedro Dinis Gaspar, Khadijeh Alibabaei, Maria P. Simões, Hugo Proença, Vasco N. G. J. Soares, João M. L. P. Caldeira

Future Internet, 2022

Real-Time Detection of Vine Trunk for Robot Localization Using Deep Learning Models Developed for Edge TPU Devices.

Khadijeh Alibabaei, Eduardo Assunção, Pedro Dinis Gaspar, Vasco N. G. J. Soares, João M. L. P. Caldeira

Future Internet, 2022

Comparison of On-Policy Deep Reinforcement Learning A2C with Off-Policy DQN in Irrigation Optimization: A Case Study at a Site in Portugal.

Khadijeh Alibabaei, Pedro Dinis Gaspar, Eduardo Assunção, Saeid Alirezazadeh, Tânia M. Lima, Vasco N. G. J. Soares, João M. L. P. Caldeira

Comput., 2022

2020

Weak Separation Problem for Tree Languages.

Saeid Alirezazadeh, Khadijeh Alibabaei

Int. J. Found. Comput. Sci., 2020

Improvement on Extrapolation of Species Abundance Distribution Across Scales from Moments Across Scales.

Saeid Alirezazadeh, Khadijeh Alibabaei

CoRR, 2020

2019

The pseudovariety of all nilpotent groups is tame.

Khadijeh Alibabaei

Int. J. Algebra Comput., 2019