Consumer IoT and its under‐regulation: Findings from an Australian study

D Harkin, M Mann, I Warren - Policy & Internet, 2022 - Wiley Online Library
The expansive growth of consumer internet of things (IoT) has created a range of concerns
around privacy, security, and their broader societal impacts. This article reports on findings …

Intelligent knowledge lakes: The age of artificial intelligence and big data

A Beheshti, B Benatallah, QZ Sheng… - Web Information Systems …, 2020 - Springer
The continuous improvement in connectivity, storage and data processing capabilities allow
access to a data deluge from the big data generated on open, private, social and IoT …

[图书][B] Social data analytics

A Beheshti, S Ghodratnama, M Elahi, H Farhood - 2022 - taylorfrancis.com
This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …

Empowering generative AI with knowledge base 4.0: towards linking analytical, cognitive, and generative intelligence

A Beheshti - 2023 IEEE International Conference on Web …, 2023 - ieeexplore.ieee.org
Intelligence refers to the ability to acquire and apply knowledge and skills, which comprises
three fundamental components, namely knowledge, experience, and creativity …

Intelligent narrative summaries: from indicative to informative summarization

S Ghodratnama, A Beheshti, M Zakershahrak… - Big Data Research, 2021 - Elsevier
Perceiving data can be challenging as the analysis goal is subjective. Storytelling
approaches try to address this challenge by focusing on the research problem of …

A personalized reinforcement learning summarization service for learning structure from unstructured data

S Ghodratnama, A Behehsti… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The exponential growth of textual data has created a crucial need for tools that assist users
in extracting meaningful insights. Traditional document summarization approaches often fail …

Attention mechanism in predictive business process monitoring

A Jalayer, M Kahani, A Beheshti… - 2020 IEEE 24th …, 2020 - ieeexplore.ieee.org
Business process monitoring techniques have been investigated in depth over the last
decade to enable organizations to deliver process insight. Recently, a new stream of work in …

Cognitive augmentation in processes

MC Barukh, S Zamanirad, M Baez, A Beheshti… - Next-Gen Digital …, 2021 - Springer
We present a vision for the next generation of process technology based on cognitive
augmentation. Starting from current process technology, we show how by augmenting layers …

Intrusion detection system for SDN-enabled IoT networks using machine learning techniques

J Ashraf, N Moustafa, AD Bukhshi… - 2021 IEEE 25th …, 2021 - ieeexplore.ieee.org
With the rapid increase in smart devices and lowering prices of sensing devices, adoption of
the Internet of Things (IoT) is gaining impetus. These IoT devices come with a greater threat …

Summary2vec: learning semantic representation of summaries for healthcare analytics

S Ghodratnama, M Zakershahrak… - 2021 International Joint …, 2021 - ieeexplore.ieee.org
The ever-increasing amount of text data makes it challenging for humans to extract the
required information. This problem is even more vital for the medical domain, where …