Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Leon Reznik"'
Robust Autonomous Vehicle Computer-Vision-Based Localization in Challenging Environmental Conditions
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5735 (2023)
In this paper, we present a novel autonomous vehicle (AV) localization design and its implementation, which we recommend to employ in challenging navigation conditions with a poor quality of the satellite navigation system signals and computer vision
Externí odkaz:
https://doaj.org/article/ed181332cc0b44ceb5af4f7305b55b95
Autor:
Igor Khokhlov, Leon Reznik
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 776, Iss 20, Pp 154-160 (2017)
Vast spreading of Android-based devices with embedded diverse sensors make them popular platforms for data collection in various research domains. However, Android OS complexity and vulnerabilities may facilitate sensor data manipulation and falsific
Externí odkaz:
https://doaj.org/article/774c18fe2e0f4022b62b02a38549d1ce
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 776, Iss 20, Pp 161-168 (2017)
Tremendous growth of a number of mobile devices and amount of data produced by sensors embedded therein requires new approaches to sensor data management. The main feature of the novel approach proposed in this paper includes an assignment of securit
Externí odkaz:
https://doaj.org/article/4274a851009e4dda8324050ba9c0d2a3
Autor:
Leon Reznik
This book teaches you how to design a fuzzy controller and shares the author's experience of design and applications. It is the perfect book for you if you want to know something about fuzzy control and fuzzy controllers, but you are not a mathematic
Publikováno v:
2022 IEEE Western New York Image and Signal Processing Workshop (WNYISPW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::411a3fdcde038951f939b524a9e16650
https://doi.org/10.1109/wnyispw57858.2022.9983488
https://doi.org/10.1109/wnyispw57858.2022.9983488
Publikováno v:
2022 IEEE Sensors.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4347bde0783a10b360b6fcdb930f9185
https://doi.org/10.1109/sensors52175.2022.9967235
https://doi.org/10.1109/sensors52175.2022.9967235
Publikováno v:
2022 IEEE Sensors.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89990dc0777ad4aeca1ffd3dd3c2829d
https://doi.org/10.1109/sensors52175.2022.9967296
https://doi.org/10.1109/sensors52175.2022.9967296
Autor:
Leon Reznik
Publikováno v:
Intelligent Security Systems. :315-335
The chapter introduces novel adversarial machine learning attacks and the taxonomy of its cases, where machine learning is used against AI‐based classifiers to make them fail. It investigates a possible data corruption and quality decrease influenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45f94ca0d5b1e7bebae4fdd154a30f15
https://doi.org/10.1002/9781119771579.ch6
https://doi.org/10.1002/9781119771579.ch6
Autor:
Leon Reznik
Publikováno v:
Intelligent Security Systems. :109-176
The chapter develops knowledge and practical skills on intrusion detection systems (IDS) design, analysis, implementation, and use. It presents IDS definition and discusses their goals and functions as well as their progress from the historical persp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::703b8e91b4776cc4c28829c314117ab8
https://doi.org/10.1002/9781119771579.ch3
https://doi.org/10.1002/9781119771579.ch3
Autor:
Leon Reznik
Publikováno v:
Intelligent Security Systems. :1-56
The chapter discusses the basic concepts of computer security as well as the taxonomy and classification of the fundamental algorithms in the domains of artificial intelligence, machine learning, and data science in relation to their applications in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47385500dfb4d4548ad7f0086ee5fac9
https://doi.org/10.1002/9781119771579.ch1
https://doi.org/10.1002/9781119771579.ch1