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Raza Nowrozy, Khandakar Ahmed, Hua Wang and Timothy Mcintosh
This paper proposed a novel privacy model for Electronic Health Records (EHR) systems utilizing a conceptual privacy ontology and Machine Learning (ML) methodologies. It underscores the challenges currently faced by EHR systems such as balancing privacy ...
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Jin Zhang, Yiqi Huang, Yu Pi, Cheng Sun, Wangyang Cai and Yuanyuan Huang
With the continuous development of the software industry, software is gradually becoming more inclined towards containerized deployment. This paper provides a prediction algorithm based on deep learning to monitor and record the resource usage of the mac...
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Suleiman Abu Kharmeh, Emad Natsheh, Batoul Sulaiman, Mohammad Abuabiah and Saed Tarapiah
Datasets used for artificial-neural-network and machine-learning applications play a vital role in the research and application of such techniques in solving real-life problems. The construction and availability of large datasets to be used in the off-li...
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Mohamed Hesham Ibrahim Abdalla, Simon Malberg, Daryna Dementieva, Edoardo Mosca and Georg Groh
As generative NLP can now produce content nearly indistinguishable from human writing, it is becoming difficult to identify genuine research contributions in academic writing and scientific publications. Moreover, information in machine-generated text ca...
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Anton Hadar, Andrei-Daniel Voicu, Florin Baciu, Daniel Vlasceanu, Daniela-Ioana Tudose and Stefan-Dan Pastrama
This paper describes the transition towards a composite structure, with the same overall aerodynamic characteristics, for a tail rotor blade of an IAR330 helicopter. The newly proposed structure of the composite blade is made of a carbon-roving spar embe...
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