Kristian Dokic

Orcid: 0000-0003-4358-9065

According to our database1, Kristian Dokic authored at least 13 papers between 2019 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Application of Machine Learning Algorithms for Monitoring of Spoilage of Cow's Milk Using the Cheap Gas Sensor.
Proceedings of the 16th International Conference on Electronics, 2024

2023
Measuring Search Engine Bias in European Women's Image Results using Machine Learning Algorithms.
Proceedings of the 5th International Conference on Recent Trends and Applications in Computer Science and Information Technology, 2023

How Search Engines See European Women.
Proceedings of the Electronic Participation - 15th IFIP WG 8.5 International Conference, 2023

2022
Digital Gender Gap in EU-27 ICT Employment During COVID-19 Impact.
Proceedings of the Digital Economy. Emerging Technologies and Business Innovation, 2022

2021
Inference speed comparison using convolutions in neural networks on various SoC hardware platforms using MicroPython.
Proceedings of the 4th International Conference on Recent Trends and Applications in Computer Science and Information Technology, Tirana, Albania, May 21st - to, 2021

Collecting Big Data in Cinemas to Improve Recommendation Systems - A Model with Three Types of Motion Sensors.
Proceedings of the Digital Economy. Emerging Technologies and Business Innovation, 2021

Battle on Edge - Comparison of Convolutional Neural Networks Inference Speed on Two Various Hardware Platforms.
Proceedings of the Computer Information Systems and Industrial Management, 2021

2020
Inference speed and quantisation of neural networks with TensorFlow Lite for Microcontrollers framework.
Proceedings of the 5th South-East Europe Design Automation, 2020

Analysis of Available Microcontroller Computing Resources for the Application of Some Cryptographic Hash Functions on Different Internet of Things Platforms.
Proceedings of the Multimedia Communications, Services and Security, 2020

Microcontrollers on the Edge - Is ESP32 with Camera Ready for Machine Learning?
Proceedings of the Image and Signal Processing - 9th International Conference, 2020

Opportunity for Video-on-Demand Services - Collecting Consumer's Neurophysiology Data for Recommendation Systems Improvement.
Proceedings of the Digital Economy. Emerging Technologies and Business Innovation, 2020

Table Tennis Forehand and Backhand Stroke Recognition Based on Neural Network.
Proceedings of the Advances in Computing and Data Sciences - 4th International Conference, 2020

2019
Toward Information Overload: Measuring Visual Activity in Teaching Materials Production.
Proceedings of the Digital Economy. Emerging Technologies and Business Innovation, 2019


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