Ibrahim Kök

According to our database, Ibrahim Kök authored at least 21 papers between 2017 and 2025.

Collaborative distances:

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

2025

MetaXAI: Metahuman-assisted audio and visual explainability framework for Internet of Medical Things.

Ibrahim Kök

Biomed. Signal Process. Control., 2025

2024

Linguistic summarization of visual attention and developmental functioning of young children with autism spectrum disorder.

Demet Ozturk, Sena Aydogan, Ibrahim Kök, Isik Akin-Bulbul, Selda Ozdemir, Suat Özdemir, Diyar Akay

Health Inf. Sci. Syst., December, 2024

Cepair: an AI-powered and fog-based predictive CEP system for air quality monitoring.

Mehmet Ulvi Simsek, Ibrahim Kök, Suat Özdemir

Clust. Comput., October, 2024

Road to efficiency: Mobility-driven joint task offloading and resource utilization protocol for connected vehicle networks.

Oguzhan Akyildiz, Feyza Yildirim Okay, Ibrahim Kök, Suat Özdemir

Future Gener. Comput. Syst., 2024

DeepFogAQ: A fog-assisted decentralized air quality prediction and event detection system.

Mehmet Ulvi Simsek, Ibrahim Kök, Suat Özdemir

Expert Syst. Appl., 2024

2023

Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey.

Ibrahim Kök, Feyza Yildirim Okay, Ozgecan Muyanli, Suat Özdemir

IEEE Internet Things J., August, 2023

A P4-assisted task offloading scheme for Fog networks: An intelligent transportation system scenario.

Oguzhan Akyildiz, Ibrahim Kök, Feyza Yildirim Okay, Suat Özdemir

Internet Things, July, 2023

Explainable AI-Based Malicious Traffic Detection and Monitoring System in Next-Gen IoT Healthcare.

Ece Gürbüz, Özlem Turgut, Ibrahim Kök

Proceedings of the International Conference on Smart Applications, 2023

Autonomous Micro-Grids: A Reinforcement Learning-Based Energy Management Model in Smart Cities.

Erol Özkan, Ibrahim Kök, Suat Özdemir

Proceedings of the International Symposium on Networks, Computers and Communications, 2023

Linguistic Comparison of Children with and without ASD through Eye-Tracking Data.

Demet Ozturk, Sena Aydogan, Ibrahim Kok, Isik Akin-Bulbul, Selda Ozdemir, Suat Ozdemir, Diyar Akay

Proceedings of the 9th International Conference on Computer Technology Applications, 2023

2022

Content-centric data and computation offloading in AI-supported fog networks for next generation IoT.

Ibrahim Kök, Suat Özdemir

Pervasive Mob. Comput., 2022

FogAI: An AI-supported fog controller for Next Generation IoT.

Ibrahim Kök, Feyza Yildirim Okay, Suat Özdemir

Internet Things, 2022

Internet of Nano, Bio-Nano, Biodegradable and Ingestible Things: A Survey.

Seyda Senturk, Ibrahim Kok, Fatmana Sentürk

CoRR, 2022

QNSGA-II: A Quantum Computing-Inspired Approach to Multi-Objective Optimization.

Metehan Güzel, Feyza Yildirim Okay, Ibrahim Kök, Suat Özdemir

Proceedings of the International Symposium on Networks, Computers and Communications, 2022

Impact of Missing Data on Classification Success in Health and Comparative Analysis of Imputation Methods.

Ebru Uçgun Ergün, Ibrahim Kök, Suat Özdemir

Proceedings of the International Symposium on Networks, Computers and Communications, 2022

2021

DeepMDP: A Novel Deep-Learning-Based Missing Data Prediction Protocol for IoT.

Ibrahim Kök, Suat Özdemir

IEEE Internet Things J., 2021

A Novel Low-Latency and Cost-Effective Communication Protocol Design for Internet of Flying Things.

Burak Han Çorak, Ibrahim Kök, Suat Özdemir

Proceedings of the International Symposium on Networks, Computers and Communications, 2021

2020

Nesnelerin internetinde derin öğrenmeye dayalı veri analizi ve bilgi çıkarımı (Deep learning based data analysis and information extraction in the internet of things)

Ibrahim Kök

PhD thesis, 2020

ANFIS and Deep Learning based missing sensor data prediction in IoT.

Metehan Guzel, Ibrahim Kok, Diyar Akay, Suat Ozdemir

Concurr. Comput. Pract. Exp., 2020

2019

Deep Learning based Delay and Bandwidth Efficient Data Transmission in IoT.

Ibrahim Kök, Burak H. Çorak, Uraz Yavanoglu, Suat Özdemir

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

A deep learning model for air quality prediction in smart cities.

Ibrahim Kok, Mehmet Ulvi Simsek, Suat Özdemir

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017