Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Francois Fouquet"'
Autor:
Francois, Fouquet, Nain, Grégory, Morin, Brice, Daubert, Erwan, Barais, Olivier, Plouzeau, Noël, Jézéquel, Jean-Marc
The creation of Domain Specific Languages(DSL) counts as one of the main goals in the field of Model-Driven Software Engineering (MDSE). The main purpose of these DSLs is to facilitate the manipulation of domain specific concepts, by providing develo
Externí odkaz:
http://arxiv.org/abs/1405.6817
Publikováno v:
Software and Systems Modeling.
Models based on differential programming, like deep neural networks, are well established in research and able to outperform manually coded counterparts in many applications. Today, there is a rising interest to introduce this flexible modeling to so
Autor:
Francois Fouquet
Publikováno v:
Noise in Radio‐Frequency Electronics and its Measurement. :37-49
This chapter shows explicitly that the noise figure on 50 ohm, denoted as NF(50 ohm) expressed in dB, of a resistive attenuator adapted on 50 ohm, is equal to its attenuation expressed in dB. It demonstrates the calculation of the attenuator's Y and
Autor:
Mohamed Akram Besserour, Sonia Eloued, Jaleleddine Ben Hadj Slama, Francois Fouquet, Moncef Kadi
Publikováno v:
2021 12th International Renewable Energy Congress (IREC)
2021 12th International Renewable Energy Congress (IREC), Oct 2021, Hammamet, Tunisia. pp.1-6, ⟨10.1109/IREC52758.2021.9624883⟩
2021 12th International Renewable Energy Congress (IREC), Oct 2021, Hammamet, Tunisia. pp.1-6, ⟨10.1109/IREC52758.2021.9624883⟩
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee65d9b6267bd7787182b5ad65dfa40a
https://hal-normandie-univ.archives-ouvertes.fr/hal-03516140
https://hal-normandie-univ.archives-ouvertes.fr/hal-03516140
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030794620
IEA/AIE (2)
IEA/AIE (2)
The rising quality and throughput demands of the manufacturing domain require flexible, accurate and explainable computer-vision solutions for defect detection. Deep Neural Networks (DNNs) reach state-of-the-art performance on various computer-vision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af9f9b84143ee2784b26c57882958af3
https://doi.org/10.1007/978-3-030-79463-7_43
https://doi.org/10.1007/978-3-030-79463-7_43
Publikováno v:
2020 IEEE International Conference on Big Data (Big Data)
2020 IEEE International Conference on Big Data (Big Data), Dec 2020, Atlanta, France. pp.1256-1265, ⟨10.1109/BigData50022.2020.9378376⟩
IEEE BigData
2020 IEEE International Conference on Big Data (Big Data), Dec 2020, Atlanta, France. pp.1256-1265, ⟨10.1109/BigData50022.2020.9378376⟩
IEEE BigData
Worldwide, highway accidents have important social and financial impacts. Crash Predictions Models (CPM) are used to reduce their frequency and gravity. They belong to two main categories: generalized linear models (GLM) and nonparametric machine lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3074d3e1f5c4f6c865eec8f27c7a71e
https://hal.inria.fr/hal-03241459
https://hal.inria.fr/hal-03241459
Autor:
Francois Fouquet
Publikováno v:
Noise in Radio‐Frequency Electronics and its Measurement. :117-118
Publikováno v:
MoDELS
Although artificial intelligence and machine learning are currently extremely fashionable, applying machine learning on real-life problems remains very challenging. Data scientists need to evaluate various learning algorithms and tune their numerous
Autor:
François Fouquet
The ability of wireless communication devices to transmit reliable information is fundamentally limited by sources of noise related to the electronic components in use. Noise in Radio-Frequency Electronics and its Measurement has five chapters that a
Publikováno v:
Information Systems
Information Systems, Elsevier, In press, 83, pp.101-117. ⟨10.1016/j.is.2019.03.004⟩
Information Systems, In press, 83, pp.101-117. ⟨10.1016/j.is.2019.03.004⟩
Information Systems, Elsevier, In press, 83, pp.101-117. ⟨10.1016/j.is.2019.03.004⟩
Information Systems, In press, 83, pp.101-117. ⟨10.1016/j.is.2019.03.004⟩
International audience; Over the last few years, data analytics shifted from a descriptive era, confined to the explanation of past events, to the emergence of predictive techniques. Nonetheless, existing predictive techniques still fail to effective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0a2ed0b5242f984578e4d8d4eae4fd2
https://hal.inria.fr/hal-02059882
https://hal.inria.fr/hal-02059882