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 …

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 …

Mobile data science and intelligent apps: concepts, AI-based modeling and research directions

IH Sarker, MM Hoque, MK Uddin… - Mobile Networks and …, 2021 - Springer
Artificial intelligence (AI) techniques have grown rapidly in recent years in the context of
computing with smart mobile phones that typically allows the devices to function in an …

Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers

K Koc, Ö Ekmekcioğlu, AP Gurgun - Automation in Construction, 2021 - Elsevier
The construction industry is among the riskiest industries around the world. Hence, the
preliminary studies exploring the consequences of occupational accidents have received …

Multi‐aspects AI‐based modeling and adversarial learning for cybersecurity intelligence and robustness: A comprehensive overview

IH Sarker - Security and Privacy, 2023 - Wiley Online Library
Due to the rising dependency on digital technology, cybersecurity has emerged as a more
prominent field of research and application that typically focuses on securing devices …

Role of national conditions in occupational fatal accidents in the construction industry using interpretable machine learning approach

K Koc - Journal of Management in Engineering, 2023 - ascelibrary.org
Current national occupational safety and health (OSH) initiatives follow reactive approaches,
ie, if it breaks, fix it. Existing accounts, however, failed to improve national OSH …

Role of Shapley additive explanations and resampling algorithms for contract failure prediction of public–private partnership projects

K Koc - Journal of Management in Engineering, 2023 - ascelibrary.org
A public–private partnership (PPP) is a common procurement model implemented
worldwide as a catalyst for economic growth and improved public infrastructure. However …

Model-based system engineering of the Internet of Things: A bibliometric literature analysis

E Ahmad - IEEE Access, 2023 - ieeexplore.ieee.org
Model-based System Engineering (MBSE) of the Internet of Things (IoT) literature is broad,
and analysis of this literature enables the identification of themes and potential future study …

Utilizing machine learning to expedite the fabrication and biological application of carbon dots

Y Tang, Q Xu, P Zhu, R Zhu, J Wang - Materials Advances, 2023 - pubs.rsc.org
As a novel type of nanomaterial, carbon dots (CDs) are widely used in biology owing to their
optical property, biocompatibility, and intrinsic theranostic properties. Taking advantage of …