Search
Search Results
-
Collective Information About the Data for Data Analytics
This is an informative article of Data Analytics for data. This article covers the various aspects of Data Analytics such as definition of Data...
-
Exploratory Data Analysis of Population Level Smartphone-Sensed Data
Mobile health involves gathering smartphone-sensor data passively from user’s phones, as they live their lives ’In-the-wild”, periodically annotating...
-
Blockchain-enabled secure and efficient data sharing scheme for trust management in healthcare smartphone network
The Internet of Medical Things (IoMT) is an extended genre of the Internet of Things (IoT) where the Things collaborate to provide remote patient...
-
Exploring the role of big data analytics and dynamic capabilities in ESG programs within pharmaceuticals
Achieving the United Nations’ Sustainable Development Goals (SDGs) requires environmental, social, and governance (ESG) programs in the...
-
A framework to improve smartphone supply chain defects: social media analytics approach
Smartphones are one of the most widely used electronic devices. Their supply chain can play an essential role in enhancing their quality and...
-
Pandemic Analytics: How Countries are Leveraging Big Data Analytics and Artificial Intelligence to Fight COVID-19?
Emergence of coronavirus in December 2019 and its spread across the world in the following months has made it a global health concern. The...
-
Personalization and Individual Differences in Business Data Analytics
Today’s data-driven business environment necessitates the adoption of business intelligence and analytics (BI &A) platforms for companies that want...
-
SLOG: smartphone-based semantic lifelogging framework for digital prosthetic memory development
The advancements in sensors, processing, storage and networking technologies have turned smartphone into de facto lifelogging device. Realizing the...
-
Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions
The study of big data analytics (BDA) methods for the data-driven industries is gaining research attention and implementation in today’s industrial...
-
Data Science and Analytics: An Overview from Data-Driven Smart Computing, Decision-Making and Applications Perspective
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,...
-
The impacts of the comprehensive learning analytics approach on learning performance in online collaborative learning
Online collaborative learning has been an effective pedagogy in the field of education. However, productive collaborative learning cannot occur...
-
The shock, the co**, the resilience: smartphone application use reveals Covid-19 lockdown effects on human behaviors
Human mobility restriction policies have been widely used to contain the coronavirus disease-19 (COVID-19). However, a critical question is how these...
-
Real-time ICT-based interactive learning analytics to facilitate blended classrooms
Classroom monitoring using information communications technology (ICT) plays a significant role in enhancing teaching-learning in a blended learning...
-
IoT and Big Data Analytics Enabling Public Communication Strategies of Smart Cities in Develo** Countries
Part of the recent effort of Brazilian municipalities had focus on the creation of smart cities. Through the collection of data from social media and...
-
Analyzing Urban Mobility Based on Smartphone Data: The Lisbon Case Study
Our paper addresses the mobility patterns in Lisbon in the vicinity of historical and transportation points of interest, with a case study conducted...
-
The Role of Big Data Analytics in Urban Systems: Review and Prospect for Smart Transport and Healthcare Systems
This introduction chapter provides an overview of the idea, aim, and objectives of the book. It delves into the importance of Big Data as a tool in...
-
Detecting your depression with your smartphone? – An ethical analysis of epistemic injustice in passive self-tracking apps
Smartphone apps might offer a low-threshold approach to the detection of mental health conditions, such as depression. Based on the gathering of...
-
Introduction to Apache Spark for Large-Scale Data Analytics
Apache Spark started as a research project at the UC Berkeley AMPLab in 2009. It became open source in 2010 and was transferred to the Apache...
-
Mobile Deep Learning: Exploring Deep Neural Network for Predicting Context-Aware Smartphone Usage
In this paper, we mainly formulate the problem of predicting smartphone usage based on contextual information, which involves both the user-centric ...
