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of 14
pro vyhledávání: '"Karim Hadjar"'
Publikováno v:
Applied Mathematics & Information Sciences. 14:309-317
Autor:
Ahmed Jedidi, Karim Hadjar
Publikováno v:
2019 4th MEC International Conference on Big Data and Smart City (ICBDSC).
400 hundred million tweets are sent each day, 4.75 billion multimedia content is shared every day on Facebook, and an estimated of hundreds of hours of video are uploaded to YouTube every minute. Moreover, also IOT devices (RFID and WIFI wearable dev
Autor:
Karim Hadjar
Publikováno v:
Semantic Web ISBN: 9783319166575
The huge amount of information available on the Internet (and intranets) and their unstructured nature are reaching a point that some actions have to be taken in order to ease the use of queries within a web search engine. The introduction of order/o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b778dd8fb0c4f1f87239044370f7113
https://doi.org/10.1007/978-3-319-16658-2_9
https://doi.org/10.1007/978-3-319-16658-2_9
Publikováno v:
Journal of Software. 7
Nowadays any intrusion detection system should include decision making feature. Each network administrator, in his everyday job, is overwhelmed with a big number of events and alerts. It is a challenge to be able to take correct decisions and to clas
Autor:
Karim Hadjar, Rolf Ingold
Publikováno v:
ICDAR
This paper describes the adaptation of a previously developed document recognition framework called PLANET (Physical Layout Analysis of complex structured Arabic documents using artificial neural NETs) into a ground truthing system for complex Arabic
Autor:
Medhat Abdou, Ali Kshada, Muhammad Shafiq, Olusegun Ogunyemi, Tee Sin Chong, Karim Hadjar, Edmund Leung
Publikováno v:
All Days.
This paper describes a case history detailing design, planning, completions, testing and production of first Inflow Control Device (ICD) horizontal well in one of field in Middle East. In this field, most of existing wells are openhole horizontal pro
Autor:
Karim Hadjar, Rolf Ingold
Publikováno v:
Document Analysis Systems
PDF documents are widely used but the extraction and the manipulation and of their structured content is not an easy task. It requires sophisticated pre-processing and reverse engineering techniques to get such achievements. In this paper, we present
Publikováno v:
Document Analysis Systems VII ISBN: 9783540321408
Document Analysis Systems
Document Analysis Systems
Accessing the structured content of PDF document is a difficult task, requiring pre-processing and reverse engineering techniques. In this paper, we first present different methods to accomplish this task, which are based either on document image ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23e414aef44dfc695ff442ccbab6e3be
https://doi.org/10.1007/11669487_13
https://doi.org/10.1007/11669487_13
Publikováno v:
ICDAR
This article presents Xed, a reverse engineering tool for PDF documents, which extracts the original document layout structure. Xed mixes electronic extraction methods with state-of-the-art document analysis techniques and outputs the layout structur
Autor:
Karim Hadjar, Rolf Ingold
Publikováno v:
ICDAR
Logical structure analysis is an important phase in the process of document image understanding. In this paper we propose a learning-based method to label logical components on Arabic newspaper documents. The labeling is driven by artificial neural n