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 …
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 …
health data, mobile data, urban data, security data, and many more, in the current age of the …
Smartphone app usage analysis: datasets, methods, and applications
As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …
users has increased dramatically over the last decade. These personal devices, which are …
Mobile data science and intelligent apps: concepts, AI-based modeling and research directions
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 …
computing with smart mobile phones that typically allows the devices to function in an …
Effectiveness analysis of machine learning classification models for predicting personalized context-aware smartphone usage
Due to the increasing popularity of recent advanced features and context-awareness in
smart mobile phones, the contextual data relevant to users' diverse activities with their …
smart mobile phones, the contextual data relevant to users' diverse activities with their …
Ageism in the era of digital platforms
A Rosales, M Fernández-Ardèvol - Convergence, 2020 - journals.sagepub.com
Ageism is the most invisible form of discrimination. While there is some awareness of
gender, racial, and socioeconomic discrimination on digital platforms, ageism has received …
gender, racial, and socioeconomic discrimination on digital platforms, ageism has received …
Refl: Resource-efficient federated learning
Federated Learning (FL) enables distributed training by learners using local data, thereby
enhancing privacy and reducing communication. However, it presents numerous challenges …
enhancing privacy and reducing communication. However, it presents numerous challenges …
Context-aware rule learning from smartphone data: survey, challenges and future directions
IH Sarker - Journal of Big Data, 2019 - Springer
Smartphones are considered as one of the most essential and highly personal devices of
individuals in our current world. Due to the popularity of context-aware technology and …
individuals in our current world. Due to the popularity of context-aware technology and …
Sensors of smart devices in the internet of everything (IoE) era: big opportunities and massive doubts
Smart device industry allows developers and designers to embed different sensors,
processors, and memories in small‐size electronic devices. Sensors are added to enhance …
processors, and memories in small‐size electronic devices. Sensors are added to enhance …
Discovering different kinds of smartphone users through their application usage behaviors
Understanding smartphone users is fundamental for creating better smartphones, and
improving the smartphone usage experience and generating generalizable and …
improving the smartphone usage experience and generating generalizable and …