A review on question generation from natural language text

R Zhang, J Guo, L Chen, Y Fan, X Cheng - ACM Transactions on …, 2021 - dl.acm.org
Question generation is an important yet challenging problem in Artificial Intelligence (AI),
which aims to generate natural and relevant questions from various input formats, eg …

Polymorphic Adversarial DDoS attack on IDS using GAN

R Chauhan, SS Heydari - 2020 International Symposium on …, 2020 - ieeexplore.ieee.org
Intrusion Detection systems are important tools in preventing malicious traffic from
penetrating into networks and systems. Recently, Intrusion Detection Systems are rapidly …

Conversational machine comprehension: a literature review

S Gupta, BPS Rawat, H Yu - arXiv preprint arXiv:2006.00671, 2020 - arxiv.org
Conversational Machine Comprehension (CMC), a research track in conversational AI,
expects the machine to understand an open-domain natural language text and thereafter …

Using GANCNN and ERNET for detection of non technical losses to secure smart grids

N Javaid, H Gul, S Baig, F Shehzad, C Xia… - IEEE …, 2021 - ieeexplore.ieee.org
In this paper, two supervised learning models based solutions are proposed for Electricity
Theft Detection (ETD). In the first solution, Adaptive Synthetic Edited Nearest Neighbor …

[PDF][PDF] Building blocks of a task-oriented dialogue system in the healthcare domain

H Shim, D Lowet, S Luca… - Second Workshop on …, 2021 - biblio.ugent.be
There has been significant progress in dialogue systems research. However, dialogue
systems research in the healthcare domain is still in its infancy. In this paper, we analyse …

Spoken dialog training system for customer service improvement

Y Sano, CS Leow, S Iiday, T Utsuroy… - 2020 Asia-Pacific …, 2020 - ieeexplore.ieee.org
In the hospitality industry, including convenience stores and airport service counters,
operational staff must be trained to serve customers satisfactorily and to avoid problems with …

Synthesis of Adversarial DDOS Attacks Using Tabular Generative Adversarial Networks

AA Hassan, MS Hussein, AS AboMoustafa… - arXiv preprint arXiv …, 2022 - arxiv.org
Network Intrusion Detection Systems (NIDS) are tools or software that are widely used to
maintain the computer networks and information systems keeping them secure and …

[PDF][PDF] Detection of non-technical losses using sampling techniques and advance machine learning techniques to secure smart meters

H Gul - 2020 - researchgate.net
I Hira Gul (Registration No. CIIT/FA17-RSE-014/ISB) hereby declare that I have produced
the work presented in this thesis, during the scheduled period of study. I also declare that I …

[PDF][PDF] The Aquila Digital Community

A Hatua - 2020 - academia.edu
In this dissertation, a study of different aspects of information bots and knowledge bots is
done. The research contributes to a better understanding of the various characteristics of …

A Study of Information Bots and Knowledge Bots

A Hatua - 2020 - aquila.usm.edu
In this dissertation, a study of different aspects of information bots and knowledge bots is
done. The research contributes to a better understanding of the various characteristics of …