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883 Results Found

  • Article
  • Open Access
180 Citations
23,007 Views
43 Pages

Science and technology transform the frontiers of knowledge and have deep and powerful impacts on society, demonstrating how social reality varies with each era of the world. As a set of fictional representations of technologically driven future worl...

  • Article
  • Open Access
5 Citations
2,356 Views
21 Pages

29 August 2022

This study develops a data-driven, comprehensive evaluation method to improve the science and technology innovative efficiency of industrial enterprises above designated size (hereinafter “industrial enterprises”). Based on an innovation...

  • Article
  • Open Access
8 Citations
7,892 Views
23 Pages

In today’s investment landscape, the integration of environmental, social, and governance (ESG) factors with data-driven strategies is pivotal. This study delves into this fusion, employing sophisticated statistical techniques and Python progra...

  • Article
  • Open Access
6 Citations
7,851 Views
11 Pages

While securing personal data from privacy violations, the new General Data Protection Regulation (GDPR) explicitly challenges policymakers to exploit evidence from social data-mining in order to build better policies. Against this backdrop, two issue...

  • Review
  • Open Access
4 Citations
5,558 Views
30 Pages

5 February 2025

Data science education is an interdisciplinary and multidisciplinary field, with curricula continually evolving to meet societal needs. This paper aims to report a bibliometric analysis focused on the pedagogical aspects and teaching/learning strateg...

  • Article
  • Open Access
54 Citations
17,915 Views
61 Pages

Data-Driven Design of Intelligent Wireless Networks: An Overview and Tutorial

  • Merima Kulin,
  • Carolina Fortuna,
  • Eli De Poorter,
  • Dirk Deschrijver and
  • Ingrid Moerman

1 June 2016

Data science or “data-driven research” is a research approach that uses real-life data to gain insight about the behavior of systems. It enables the analysis of small, simple as well as large and more complex systems in order to assess whether they f...

  • Article
  • Open Access
6 Citations
13,220 Views
39 Pages

22 April 2017

Recently emerging data-driven citizen sciences need to harness an increasing amount of massive data with varying quality. This paper develops essential theoretical frameworks, example models, and a general definition of complexity measure, and examin...

  • Review
  • Open Access
773 Views
22 Pages

Machine Learning for Nanomaterial Discovery and Design

  • Antonio del Bosque,
  • Pablo Fernández-Arias and
  • Diego Vergara

Machine learning (ML) has become a transformative tool in nanomaterial research, driven by the rapid growth of data-intensive experimental techniques, multiscale simulations, and computational modeling. This study provides a bibliometric analysis to...

  • Article
  • Open Access
8 Citations
3,883 Views
12 Pages

4 April 2023

Science and technology parks (STPs) are curated locations where new technology-based firms (NTBFs) and other SMEs and firms can conglomerate and promote a culture of innovation. Overall, the aim is to construct a sustainable high-value tech entrepren...

  • Article
  • Open Access
7 Citations
5,042 Views
17 Pages

26 July 2020

The rising availability of digital traces provides a fertile ground for data-driven solutions to problems in cities. However, even though a massive data set analyzed with data science methods may provide a powerful and cost-effective solution to a pr...

  • Article
  • Open Access
13 Citations
5,115 Views
37 Pages

3 August 2018

For an R&D institution to design a specific high investment cost product, the budget is usually ‘large but limited’. To allocate such budget on the directions with key potential benefits (e.g., core technologies) requires, at first an...

  • Article
  • Open Access
1 Citations
521 Views
18 Pages

Citizen Science and STEM Education with R: AI–IoT Forecasting and Reproducible Learning from Open Urban Air Quality Data

  • Jesús Cáceres-Tello,
  • José Javier Galán-Hernández,
  • María Belén Morales Cevallo and
  • Eloy López-Meneses

17 November 2025

Open urban environmental data offer a unique opportunity to connect scientific research, education, and citizen participation. Leveraging IoT-based sensor networks and AI-driven forecasting models, this study integrates open environmental data with r...

  • Article
  • Open Access
7 Citations
3,925 Views
22 Pages

Adapting Data-Driven Research to the Fields of Social Sciences and the Humanities

  • Albert Weichselbraun,
  • Philipp Kuntschik,
  • Vincenzo Francolino,
  • Mirco Saner,
  • Urs Dahinden and
  • Vinzenz Wyss

26 February 2021

Recent developments in the fields of computer science, such as advances in the areas of big data, knowledge extraction, and deep learning, have triggered the application of data-driven research methods to disciplines such as the social sciences and h...

  • Review
  • Open Access
4 Citations
4,028 Views
29 Pages

This narrative review evaluates the curtail components of data maturity in manufacturing industries, the associated challenges, and the application of industrial data science (IDS) to improve organisational decision-making. As data availability grows...

  • Article
  • Open Access
32 Citations
6,600 Views
17 Pages

Data science is a new academic field that has received much attention in recent years. One reason for this is that our increasingly digitalized society generates more and more data in all areas of our lives and science and we are desperately seeking...

  • Article
  • Open Access
3 Citations
3,488 Views
17 Pages

How IoT-Driven Citizen Science Coupled with Data Satisficing Can Promote Deep Citizen Science

  • Stefan Poslad,
  • Tayyaba Irum,
  • Patricia Charlton,
  • Rafia Mumtaz,
  • Muhammad Azam,
  • Hassan Zaidi,
  • Christothea Herodotou,
  • Guangxia Yu and
  • Fesal Toosy

21 April 2022

To study and understand the importance of Internet of Things-driven citizen science (IoT-CS) combined with data satisficing, we set up and undertook a citizen science experiment for air quality (AQ) in four Pakistan cities using twenty-one volunteers...

  • Article
  • Open Access
3 Citations
6,231 Views
76 Pages

Mapping Data-Driven Research Impact Science: The Role of Machine Learning and Artificial Intelligence

  • Mudassar Hassan Arsalan,
  • Omar Mubin,
  • Abdullah Al Mahmud,
  • Imran Ahmed Khan and
  • Ali Jan Hassan

In an era of evolving scholarly ecosystems, machine learning (ML) and artificial intelligence (AI) have become pivotal in advancing research impact analysis. Despite their transformative potential, the fragmented body of literature in this domain nec...

  • Feature Paper
  • Article
  • Open Access
12 Citations
6,286 Views
31 Pages

5 March 2022

Preliminary identification of plugging of open-ended pipe piles based on their dimensions, ahead of driving, is explored in this study using data analytics. Piles can be unplugged, plugged, or internally plugged, depending on their dimensions, and ge...

  • Article
  • Open Access
100 Citations
10,480 Views
13 Pages

Prediction of Food Production Using Machine Learning Algorithms of Multilayer Perceptron and ANFIS

  • Saeed Nosratabadi,
  • Sina Ardabili,
  • Zoltan Lakner,
  • Csaba Mako and
  • Amir Mosavi

Advancing models for accurate estimation of food production is essential for policymaking and managing national plans of action for food security. This research proposes two machine learning models for the prediction of food production. The adaptive...

  • Article
  • Open Access
13 Citations
6,451 Views
21 Pages

8 June 2022

This paper discusses the problem of missing datasets for analysing and exhibiting the role of women in STEM with a particular focus on computer science (CS), artificial intelligence (AI) and data science (DS). It discusses the problem in a concrete c...

  • Article
  • Open Access
32 Citations
9,091 Views
27 Pages

Spatial Assessment of the Bioclimatic and Environmental Factors Driving Mangrove Tree Species’ Distribution along the Brazilian Coastline

  • Arimatéa C. Ximenes,
  • Eduardo Eiji Maeda,
  • Gustavo Felipe Balué Arcoverde and
  • Farid Dahdouh-Guebas

27 May 2016

Brazil has one of the largest mangrove surfaces worldwide. Due to a wide latitudinal distribution, Brazilian mangroves can be found within a large range of environmental conditions. However, little attention has been given to the description of envir...

  • Article
  • Open Access
1 Citations
3,465 Views
12 Pages

9 May 2020

Accessible interactive tools that integrate machine learning methods with clinical research and reduce the programming experience required are needed to move science forward. Here, we present Machine Learning for Medical Exploration and Data-Inspired...

  • Article
  • Open Access
3 Citations
2,351 Views
13 Pages

In the present study, I developed and tested an R module to explore the best models within the context of multilevel modeling in research in public health. The module that I developed, explore.models, compares all possible candidate models generated...

  • Article
  • Open Access
1 Citations
2,118 Views
23 Pages

30 July 2024

Estimating and controlling dynamical systems from observable time-series data are essential for understanding and manipulating nonlinear dynamics. This paper proposes a probabilistic framework for simultaneously estimating and controlling nonlinear d...

  • Article
  • Open Access
5 Citations
3,375 Views
17 Pages

Quantifying the Economic and Financial Viability of NB-IoT and LoRaWAN Technologies: A Comprehensive Life Cycle Cost Analysis Using Pragmatic Computational Tools

  • Bernhard Koelmel,
  • Max Borsch,
  • Rebecca Bulander,
  • Lukas Waidelich,
  • Tanja Brugger,
  • Ansgar Kuehn,
  • Matthias Weyer,
  • Luc Schmerber and
  • Michael Krutwig

20 July 2023

This paper focuses on quantifying the economic and financial viability of NB-IoT and LoRaWAN technologies, two low-power wide-area network (LPWAN) technologies with unique characteristics that make them suitable for IoT applications. The purpose of t...

  • Article
  • Open Access
15 Citations
4,711 Views
24 Pages

A Hybrid Artificial Neural Network to Estimate Soil Moisture Using SWAT+ and SMAP Data

  • Katherine H. Breen,
  • Scott C. James,
  • Joseph D. White,
  • Peter M. Allen and
  • Jeffery G. Arnold

In this work, we developed a data-driven framework to predict near-surface (0–5 cm) soil moisture (SM) by mapping inputs from the Soil & Water Assessment Tool to SM time series from NASA’s Soil Moisture Active Passive (SMAP) satellite...

  • Article
  • Open Access
5 Citations
5,011 Views
18 Pages

Data-Driven Decision Making in Response to the COVID-19 Pandemic: A City of Cape Town Case Study

  • Elmarie Nel,
  • Andrew MacLachlan,
  • Ollie Ballinger,
  • Hugh Cole and
  • Megan Cole

18 January 2023

In the event of a crisis, such as COVID-19, the decisions and subsequent actions taken by the local government are one of the primary sources of support to the local population. Yet the processes through which these decisions are reached and the data...

  • Review
  • Open Access
1,865 Views
33 Pages

Geospatial Sensing and Data-Driven Technologies in the Western Balkan 6 (Agro)Forestry Region: A Strategic Science–Technology–Policy Nexus Analysis

  • Branislav Trudić,
  • Boris Kuzmanović,
  • Aleksandar Ivezić,
  • Nikola Stojanović,
  • Tamara Popović,
  • Nikola Grčić,
  • Miodrag Tolimir and
  • Kristina Petrović

15 August 2025

Geospatial sensing and data-driven technologies (GSDDTs) are playing an increasingly important role in transforming (agro)forestry practices across the Western Balkans 6 region (WB6). This review critically examines the current state of GSDDT applica...

  • Article
  • Open Access
8 Citations
4,050 Views
30 Pages

17 August 2020

Today, semi-structured and unstructured data are mainly collected and analyzed for data analysis applicable to various systems. Such data have a dense distribution of space and usually contain outliers and noise data. There have been ongoing research...

  • Article
  • Open Access
20 Citations
5,512 Views
20 Pages

2 December 2021

In the cultural tourism field, there has been an increasing interest in adopting data-driven approaches that are aimed at measuring the service quality dimensions through online reviews. To date, studies measuring quality dimensions in cultural touri...

  • Review
  • Open Access
11 Citations
8,319 Views
29 Pages

Recent Progress of Artificial Intelligence Application in Polymer Materials

  • Teng Long,
  • Qianqian Pang,
  • Yanyan Deng,
  • Xiteng Pang,
  • Yixuan Zhang,
  • Rui Yang and
  • Chuanjian Zhou

16 June 2025

Artificial intelligence (AI) technology has made remarkable progress in polymer materials, which has changed polymer science significantly. However, this community still relies heavily on the traditional research paradigm instead of the data-driven p...

  • Article
  • Open Access
129 Views
27 Pages

27 January 2026

Due to growing demands for quality, sustainability, and digitalization, data science and artificial intelligence are gaining importance across industries. The extensive product range in many sectors often poses considerable challenges. For example, m...

  • Article
  • Open Access
1 Citations
1,315 Views
16 Pages

A Martingale Posterior-Based Fault Detection and Estimation Method for Electrical Systems of Industry

  • Chao Cheng,
  • Weijun Wang,
  • He Di,
  • Xuedong Li,
  • Haotong Lv and
  • Zhiwei Wan

12 October 2024

The improvement of information sciences promotes the utilization of data for process monitoring. As the core of modern automation, time-stamped signals are used to estimate the system state and construct the data-driven model. Many recent studies cla...

  • Article
  • Open Access
12 Citations
4,875 Views
13 Pages

29 June 2022

Calculation of protein–ligand binding affinity is a cornerstone of drug discovery. Classic implicit solvent models, which have been widely used to accomplish this task, lack accuracy compared to experimental references. Emerging data-driven mod...

  • Article
  • Open Access
3,098 Views
26 Pages

The rapid expansion of big data has transformed research practices across disciplines, yet disparities exist in its adoption among U.S. institutions of higher education. This study examines trends in NSF-funded big data-driven research across researc...

  • Opinion
  • Open Access
4 Citations
4,347 Views
10 Pages

It Takes a Village! Editorship, Advocacy, and Research in Running an Open Access Data Journal

  • Mandy Wigdorowitz,
  • Marton Ribary,
  • Andrea Farina,
  • Eleonora Lima,
  • Daniele Borkowski,
  • Paola Marongiu,
  • Amanda H. Sorensen,
  • Christelle Timis and
  • Barbara McGillivray

Partaking in the editorial process of an academic journal is both a challenging and rewarding experience. It takes a village of dedicated individuals with a vested interest in the dissemination and sharing of high-quality research outputs. As members...

  • Review
  • Open Access
9 Citations
12,642 Views
19 Pages

The manufacturing industry must maintain high-quality standards while meeting customer demands for customization, reduced carbon footprint, and competitive pricing. To address these challenges, companies are constantly improving their production proc...

  • Editorial
  • Open Access
2,009 Views
5 Pages

12 February 2025

The ways in which artificial intelligence, especially deep learning (AIDL) or data-driven methods, can be used to advance sciences are an important and critical topic in the current research landscape [...]

  • Editorial
  • Open Access
1 Citations
2,083 Views
10 Pages

Computational intelligence (CI) and machine learning (ML) have evolved into foundational pillars of modern data-driven research, with growing impacts across domains such as engineering, medicine, finance, and environmental science [...]

  • Article
  • Open Access
21 Citations
12,852 Views
24 Pages

The adoption of data science brings vast benefits to Small and Medium-sized Enterprises (SMEs) including business productivity, economic growth, innovation and job creation. Data science can support SMEs to optimise production processes, anticipate c...

  • Review
  • Open Access
12 Citations
5,857 Views
18 Pages

27 February 2024

Plasma-driven science is defined as the artificial control of physical plasma-driven phenomena based on complex interactions between nonequilibrium open systems. Recently, peculiar phenomena related to physical plasma have been discovered in plasma b...

  • Article
  • Open Access
2 Citations
3,275 Views
21 Pages

26 November 2023

Owing to the rapid expansion of data science, data-driven methods have emerged as a dominant trend in chiller fault detection and diagnosis (FDD). Most of these methods prioritize feature selection to achieve optimal diagnostic performance. However,...

  • Article
  • Open Access
1,766 Views
16 Pages

28 November 2023

This study develops and evaluates a simulation-optimization approach to mitigate the environmental impacts of freshwater pulses in brackish-water lakes whilst maximizing flood diversion benefits. Lake Pontchartrain, located downstream of the Mississi...

  • Proceeding Paper
  • Open Access
1,053 Views
9 Pages

The structured integration of analytical methods, numerical simulations, and emerging data science techniques enables a highly efficient and robust modeling approach for manufacturing processes. To successfully implement advanced analytical strategie...

  • Opinion
  • Open Access
3 Citations
1,837 Views
12 Pages

6 November 2024

The actual hype around machine learning (ML) methods has pushed the old epistemic struggle between data-driven and theory-driven scientific styles well beyond the academic realm. The potential consequences of the widespread adoption of ML in scientif...

  • Article
  • Open Access
21 Citations
5,847 Views
27 Pages

30 August 2023

Developing accurate dynamic models for various systems is crucial for optimization, control, fault diagnosis, and prognosis. Recent advancements in information technologies and computing platforms enable the acquisition of input–output data fro...

  • Feature Paper
  • Article
  • Open Access
21 Citations
12,035 Views
40 Pages

Deep Impact: A Study on the Impact of Data Papers and Datasets in the Humanities and Social Sciences

  • Barbara McGillivray,
  • Paola Marongiu,
  • Nilo Pedrazzini,
  • Marton Ribary,
  • Mandy Wigdorowitz and
  • Eleonora Zordan

The humanities and social sciences (HSS) have recently witnessed an exponential growth in data-driven research. In response, attention has been afforded to datasets and accompanying data papers as outputs of the research and dissemination ecosystem....

  • Article
  • Open Access
3 Citations
3,246 Views
19 Pages

Data-Influence Analytics in Predictive Models Applied to Asthma Disease

  • Alejandra Tapia,
  • Viviana Giampaoli,
  • Víctor Leiva and
  • Yuhlong Lio

15 September 2020

Asthma is one of the most common chronic diseases around the world and represents a serious problem in human health. Predictive models have become important in medical sciences because they provide valuable information for data-driven decision-making...

  • Article
  • Open Access
50 Citations
8,893 Views
9 Pages

Data-Driven Studies of Li-Ion-Battery Materials

  • Steven K. Kauwe,
  • Trevor David Rhone and
  • Taylor D. Sparks

18 January 2019

Batteries are a critical component of modern society. The growing demand for new battery materials—coupled with a historically long materials development time—highlights the need for advances in battery materials development. Understandin...

  • Review
  • Open Access
32 Citations
10,008 Views
28 Pages

Big Data Analytics and Its Role to Support Groundwater Management in the Southern African Development Community

  • Zaheed Gaffoor,
  • Kevin Pietersen,
  • Nebo Jovanovic,
  • Antoine Bagula and
  • Thokozani Kanyerere

9 October 2020

Big data analytics (BDA) is a novel concept focusing on leveraging large volumes of heterogeneous data through advanced analytics to drive information discovery. This paper aims to highlight the potential role BDA can play to improve groundwater mana...

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