Michal Gandor

According to our database, Michal Gandor authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

Alleviating the Siphon Effect on Age of Information in D2D-Enabled Social IoT Networks.

Saurabh Chandra, Prateek, Rajeev Arya, Rohit Sharma, Michal Gandor, Kusum Yadav

IEEE Trans. Consumer Electron., November, 2025

Occlusion-Aware Secure Device-to-Device Communication in Social Internet of Things Networks.

Saurabh Chandra, Prateek, Rajeev Arya, Rohit Sharma, Shahad Almansour, Michal Gandor

IEEE Trans. Consumer Electron., May, 2025

Freshness-Aware Device-to-Device Communication in Digital Twin Network for Disaster Management.

Saurabh Chandra, Prateek, Rajeev Arya, Rohit Sharma, Kusum Yadav, Michal Gandor

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

A novel RANCOM-RAM-based framework for city assessment based on cost of living.

Andrii Shekhovtsov, Michal Gandor, Rafal Pawlak, Wojciech Salabun

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025

A robust framework for sustainable vehicle assessment: Integrating FN-TOPSIS with subjective weighting methods.

Bartlomiej Kizielewicz, Rafal Pawlak, Michal Gandor, Wojciech Salabun

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025

GLCM and Genetic Algorithms for Automated Diabetic Retinopathy Prediction Based on Retinal Images.

Michal Gandor, Wojciech Ksiazek

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

2024

Subjective weight determination methods in multi-criteria decision-making: a systematic review.

Bartlomiej Kizielewicz, Tomasz Tomczyk, Michal Gandor, Wojciech Salabun

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

2021

A Novel Fast Feedforward Neural Networks Training Algorithm.

Jaroslaw Bilski, Bartosz Kowalczyk, Andrzej Marjanski, Michal Gandor, Jacek M. Zurada

J. Artif. Intell. Soft Comput. Res., 2021

Comparison of various approaches to combine logistic regression with genetic algorithms in survival prediction of hepatocellular carcinoma.

Wojciech Ksiazek, Michal Gandor, Pawel Plawiak

Comput. Biol. Medicine, 2021