Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Jan Lánský"'
Autor:
Jan Lansky, Saqib Ali, Amir Masoud Rahmani, Mohammad Sadegh Yousefpoor, Efat Yousefpoor, Faheem Khan, Mehdi Hosseinzadeh
Publikováno v:
Mathematics, Vol 10, Iss 16, p 3017 (2022)
In recent years, flying ad hoc networks have attracted the attention of many researchers in industry and universities due to easy deployment, proper operational costs, and diverse applications. Designing an efficient routing protocol is challenging d
Externí odkaz:
https://doaj.org/article/4424623a16904190bcbb5134d2210487
Publikováno v:
Mathematics, Vol 10, Iss 15, p 2752 (2022)
Many scientific fields need to know how human systems develop. From an economic point of view, the main factors of system output change are changes in the quantity of inputs (extensive factors) and changes in efficiency (input quality and productivit
Externí odkaz:
https://doaj.org/article/900ae3acae13473fb359251c45aa5e27
Autor:
Jan Lánský
Publikováno v:
Acta Informatica Pragensia, Vol 6, Iss 1, Pp 20-31 (2017)
Cryptocurrency systems are purely digital and decentralized systems that use cryptographic principles to confirm transactions. Bitcoin is the first and also the most widespread cryptocurrency. The aim of this article is to introduce Bitcoin system us
Externí odkaz:
https://doaj.org/article/55216923a2ec434c9a5789b68eb44963
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract In this paper, we introduce an improved water strider algorithm designed to solve the inverse form of the Burgers-Huxley equation, a nonlinear partial differential equation. Additionally, we propose a physics-informed neural network to addre
Externí odkaz:
https://doaj.org/article/be87177a846547c2b9951527652c171a
Autor:
Jan Lánský, Petr Wawrosz
Publikováno v:
Ekonomický časopis. 69:687-705
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ead1a1508b7ba5be35da7fd7aa15701a
https://doi.org/10.31577/ekoncas.2021.07.02
https://doi.org/10.31577/ekoncas.2021.07.02
Autor:
Mehdi Hosseinzadeh, Fatimatelbatoul Mahmoud Husari, Mohammad Sadegh Yousefpoor, Jan Lansky, Hong Min
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-31 (2024)
Abstract Flying ad hoc network (FANET) is a new technology, which creates a self-organized wireless network containing unmanned aerial vehicles (UAVs). In FANET, routing protocols deal with important challenges due to limited energy, frequent link fa
Externí odkaz:
https://doaj.org/article/e0e33737fd8545928dc2d560d9961843
Autor:
Behnaz Abdorrahimi, Atefeh Nekouie, Amir Masoud Rahmani, Jan Lansky, Vladimír Nulíček, Mehdi Hosseinzadeh, Mohammad Hossein Moattar
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract With electronic healthcare systems undergoing rapid change, optimizing the crucial process of recording physician prescriptions is a task with major implications for patient care. The power of blockchain technology and the precision of the R
Externí odkaz:
https://doaj.org/article/220ce27b81da46a2ac5a7988f37776a6
Autor:
Oleksandr Bulatnikov, Jakub Nábělek, Petr Wawrosz, Jiří Mihola, Jan Lánský, Jana Kotěšovcová, Luka Slemnik
The monograph develops the theory of production functions and their systematic typology. It looks at the relationship between inputs and outputs as a universal relationship that is used not only in economics but also in other disciplines. In addition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f753acb804feef12decffa54d3574be
https://doi.org/10.37355/03.2021/1
https://doi.org/10.37355/03.2021/1
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 5, Pp 102066- (2024)
Flying ad hoc networks (FANETs) belong to the family of mobile ad hoc networks (MANETs). They have gained high popularity due to their extensive applications in various industries such as emergency management, military missions, and supervision. Howe
Externí odkaz:
https://doaj.org/article/dc28635049024bd69821e3a2bd0bdce7
A Model for Epileptic Seizure Diagnosis Using the Combination of Ensemble Learning and Deep Learning
Autor:
Mehdi Hosseinzadeh, Parisa Khoshvaght, Samira Sadeghi, Parvaneh Asghari, Amirhossein Noroozi Varzeghani, Mokhtar Mohammadi, Hossein Mohammadi, Jan Lansky, Sang-Woong Lee
Publikováno v:
IEEE Access, Vol 12, Pp 137132-137143 (2024)
Epileptic seizures can be dangerous as they cause sudden and uncontrolled electrical activity in the brain which can lead to injuries if one falls or loss of control over physical functions. To mitigate these risks, machine learning and deep learning
Externí odkaz:
https://doaj.org/article/9aa69fbed3714492b04c2952057a6919