Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Karim El Mokhtari"'
Publikováno v:
Frontiers in Built Environment, Vol 8 (2022)
Cognitive Digital Twins (CDTs) are defined as capable of achieving some elements of cognition, notably memory (encoding and retrieval), perception (creating useful data representations), and reasoning (outlier and event detection). This paper present
Externí odkaz:
https://doaj.org/article/135fbbdd9b944060b2764b027facb82e
Publikováno v:
Building Simulation Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7458ff841c5eeb0dedd8cad614a31d3a
https://doi.org/10.26868/25222708.2021.30421
https://doi.org/10.26868/25222708.2021.30421
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 1101:092027
Heat recovery chiller systems have significant strategic value to reduce building greenhouse gas emissions although this potential remains unrealized in practice. Real-time optimization using model-free reinforcement learning provides a potential sol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49a560a62f543b104e837b1eb01b2fb1
https://doi.org/10.1088/1755-1315/1101/9/092027
https://doi.org/10.1088/1755-1315/1101/9/092027
Autor:
Ozan Ozyegen, Sanaz Mohammadjafari, Mucahit Cevik, Karim El mokhtari, Jonathan Ethier, Ayse Basar
Accurate radio frequency power prediction in a geographic region is a computationally expensive part of finding the optimal transmitter location using a ray tracing software. We empirically analyze the viability of deep learning models to speed up th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d802165b66328de44fa904009e6a98ca
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783030473570
Canadian Conference on AI
Canadian Conference on AI
We consider the task of predicting the class of commentaries associated with financial discrepancies between actual and estimated sales data. Such analysis of the financial data is helpful in meeting targets and assessing the overall performance of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baf2c6cf173d2ba67a1a952a41f70bf6
https://doi.org/10.1007/978-3-030-47358-7_19
https://doi.org/10.1007/978-3-030-47358-7_19
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030366520
This paper aims at applying Recurrent Neural Networks (RNN) to Natural Language Processing using old texts such as sacred books. The objective of this work is to generate a text that follows the same structure and semantic of the studied corpus writt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbee590d043f5f20aa7c08ff6cc012ea
https://doi.org/10.1007/978-3-030-36653-7_19
https://doi.org/10.1007/978-3-030-36653-7_19
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030366735
Object recognition is among the most important subjects in computer vision, it has undergone a huge evolution during these last decades, but in the last years artificial intelligence has seen the appearance of Deep Learning, and through the efforts o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4376eb3abad262751461a0fddedc18b6
https://doi.org/10.1007/978-3-030-36674-2_23
https://doi.org/10.1007/978-3-030-36674-2_23
Autor:
Karim El Mokhtari, Georges Stienne, Mohammed Benjelloun, Jean-Bernard Choquel, Benaissa Amami, Serge Reboul
Publikováno v:
IET Intelligent Transport Systems. 11:491-500
Navigation in constrained areas such as ports or dense urban environments is often exposed to global navigation satellite system (GNSS) satellites masking caused by the infrastructures. In this case, the GNSS positioning is inaccurate or unavailable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6aa9344b982c8a08c224da6feaa54d0d
https://doi.org/10.1049/iet-its.2016.0231
https://doi.org/10.1049/iet-its.2016.0231
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030348847
SGAI Conf.
SGAI Conf.
We aim to classify financial discrepancies between actual and forecasted performance into categories of commentaries that an analyst would write when describing the variation. We propose analyzing time series in order to perform the classification. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::463d7fdf3f18fa6325470843a3348b3b
https://doi.org/10.1007/978-3-030-34885-4_39
https://doi.org/10.1007/978-3-030-34885-4_39
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783030183042
Canadian Conference on AI
Canadian Conference on AI
Aim: The paper aims to automatically generate commentaries on financial reports. Background: Analysing and commenting financial reports is critical to evaluate the performance of a company so that management may change course to meet the targets. Gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a620c77e1f61828b5a112320dfdaa774
https://doi.org/10.1007/978-3-030-18305-9_56
https://doi.org/10.1007/978-3-030-18305-9_56