AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems

IH Sarker - SN Computer Science, 2022 - Springer
Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial
Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and …

Deep learning: a comprehensive overview on techniques, taxonomy, applications and research directions

IH Sarker - SN computer science, 2021 - Springer
Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is
nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or …

Internet of things (iot) security intelligence: a comprehensive overview, machine learning solutions and research directions

IH Sarker, AI Khan, YB Abushark, F Alsolami - Mobile Networks and …, 2023 - Springer
Abstract The Internet of Things (IoT) is one of the most widely used technologies today, and
it has a significant effect on our lives in a variety of ways, including social, commercial, and …

Machine learning: Algorithms, real-world applications and research directions

IH Sarker - SN computer science, 2021 - Springer
In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …

Data science and analytics: an overview from data-driven smart computing, decision-making and applications perspective

IH Sarker - SN Computer Science, 2021 - Springer
The digital world has a wealth of data, such as internet of things (IoT) data, business data,
health data, mobile data, urban data, security data, and many more, in the current age of the …

Ai-driven cybersecurity: an overview, security intelligence modeling and research directions

IH Sarker, MH Furhad, R Nowrozy - SN Computer Science, 2021 - Springer
Artificial intelligence (AI) is one of the key technologies of the Fourth Industrial Revolution (or
Industry 4.0), which can be used for the protection of Internet-connected systems from cyber …

Machine learning for intelligent data analysis and automation in cybersecurity: current and future prospects

IH Sarker - Annals of Data Science, 2023 - Springer
Due to the digitization and Internet of Things revolutions, the present electronic world has a
wealth of cybersecurity data. Efficiently resolving cyber anomalies and attacks is becoming a …

Cybersecurity data science: an overview from machine learning perspective

IH Sarker, ASM Kayes, S Badsha, H Alqahtani… - Journal of Big …, 2020 - Springer
In a computing context, cybersecurity is undergoing massive shifts in technology and its
operations in recent days, and data science is driving the change. Extracting security …

[HTML][HTML] Machine learning-based approach: Global trends, research directions, and regulatory standpoints

R Pugliese, S Regondi, R Marini - Data Science and Management, 2021 - Elsevier
The field of machine learning (ML) is sufficiently young that it is still expanding at an
accelerating pace, lying at the crossroads of computer science and statistics, and at the core …

Smart City Data Science: Towards data-driven smart cities with open research issues

IH Sarker - Internet of Things, 2022 - Elsevier
Cities are undergoing huge shifts in technology and operations in recent days, and 'data
science'is driving the change in the current age of the Fourth Industrial Revolution (Industry …