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Karol Król and Dariusz Zdonek
This paper aims to review, characterize and comparatively analyze selected organizations? analytics maturity models. Eleven various organizations? analytics maturity models (AMMs) were characterized. The models? characteristics were developed based on an...
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Daniel Ricardo Sandoval Serrano, Juan Carlos Rincón, Julián Mejía-Restrepo, Edward Rolando Núñez-Valdez and Vicente García-Díaz
Forecasting medical costs is crucial for planning, budgeting, and efficient decision making in the health industry. This paper introduces a proposal to forecast costs through techniques such as a standard model of long short-term memory (LSTM); and patie...
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Maryam Panahiazar, Darya Fadavi, Jihad Aljabban, Laraib Safeer, Imad Aljabban and Dexter Hadley
A crucial factor in Big Data is to take advantage of available data and use that for new discovery or hypothesis generation. In this study, we analyzed Large-scale data from the literature to OMICS, such as the genome, proteome or metabolome, respectivel...
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Aaron Boddy, William Hurst, Michael Mackay, Abdennour El Rhalibi, Thar Baker and Casimiro A. Curbelo Montañez
Visualising complex data facilitates a more comprehensive stage for conveying knowledge. Within the medical data domain, there is an increasing requirement for valuable and accurate information. Patients need to be confident that their data is being stor...
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Georgia Korompili, Günter Mußbach and Christos Riziotis
In the realm of space exploration, solid rocket motors (SRMs) play a pivotal role due to their reliability and high thrust-to-weight ratio. Serving as boosters in space launch vehicles and employed in military systems, and other critical & emerging a...
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Fernando Silva Parreiras,Vitor Afonso Pinto,Marco Antônio Calijorne Soares,Daniel Henrique Mourão Falci
For many years, plant engineers have used data collected from industrial sensors for supporting the diagnosis of failures. Recently, data scientists are using these data to make predictions on industrial processes. However, the meaning and the relationsh...
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Angkoon Phinyomark and Erik Scheme
The increasing amount of data in electromyographic (EMG) signal research has greatly increased the importance of developing advanced data analysis and machine learning techniques which are better able to handle ?big data?. Consequently, more advanced app...
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Angkoon Phinyomark and Erik Scheme
The increasing amount of data in electromyographic (EMG) signal research has greatly increased the importance of developing advanced data analysis and machine learning techniques which are better able to handle “big data”. Consequently, more ...
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Toh Yen Pang, Tsz-Kwan Lee and Manzur Murshed
This paper presents a new, fifth industrial revolution (Industry 5.0)-inspired paradigm for educating and training Australian healthcare professionals and students in the field of digital health. By leveraging Industry 5.0-enabling technologies, such as ...
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Stefanos Georganos and Stamatis Kalogirou
The aim of this paper is to present developments of an advanced geospatial analytics algorithm that improves the prediction power of a random forest regression model while addressing the issue of spatial dependence commonly found in geographical data. We...
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Dragana Makajic-Nikolic
Pág. 88 - 89
Book review of: Metaheuristics for Business Analytics. A Decision Modeling Approach by Abraham Duarte, Manuel Laguna,and Rafael Martí. Springer International Publishing, Series: EURO Advanced Tutorials on Operational Research, 2018, 136 pp. Hardcov...
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Samia Masood Awan, Muhammad Ajmal Azad, Junaid Arshad, Urooj Waheed and Tahir Sharif
The connected or smart environment is the integration of smart devices (sensors, IoT devices, or actuator) into the Internet of Things (IoT) paradigm, in which a large number of devices are connected, monitoring the physical environment and processes and...
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Irya Wisnubhadra, Safiza Kamal Baharin, Nurul A. Emran and Djoko Budiyanto Setyohadi
The accessibility of devices that track the positions of moving objects has attracted many researchers in Mobility Online Analytical Processing (Mobility OLAP). Mobility OLAP makes use of trajectory data warehousing techniques, which typically include a ...
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Zhanna Abzaltynova,Janice Williams
In today?s economy the requirements in Business Intelligence environments are changing dramatically. This research paper tested underlying constructs. Hypothesis one sought to test if vendors seek to provide complete BI solutions following all four stage...
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Xiaoqin Xue, Chao Ren, Anchao Yin, Ying Zhou, Yuanyuan Liu, Cong Ding and Jiakai Lu
In the domain of remote sensing research, the extraction of roads from high-resolution imagery remains a formidable challenge. In this paper, we introduce an advanced architecture called PCCAU-Net, which integrates Pyramid Pathway Input, CoordConv convol...
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Sarah Benjelloun, Mohamed El Mehdi El Aissi, Younes Lakhrissi and Safae El Haj Ben Ali
Thanks to continuously evolving data management solutions, data-driven strategies are considered the main success factor in many domains. These strategies consider data as the backbone, allowing advanced data analytics. However, in the agricultural field...
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Angelos Alexopoulos, Konstantinos Koutras, Sihem Ben Ali, Stefano Puccio, Alessandro Carella, Roberta Ottaviano and Athanasios Kalogeras
As the global population continues to increase, projected to reach an estimated 9.7 billion people by 2050, there will be a growing demand for food production and agricultural resources. Transition toward Agriculture 4.0 is expected to enhance agricultur...
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Milena Vuckovic, Johanna Schmidt, Thomas Ortner and Daniel Cornel
The application potential of Visual Analytics (VA), with its supporting interactive 2D and 3D visualization techniques, in the environmental domain is unparalleled. Such advanced systems may enable an in-depth interactive exploration of multifaceted geos...
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Venkataramana Veeramsetty, Dongari Rakesh Chandra, Francesco Grimaccia and Marco Mussetta
Electrical load forecasting study is required in electric power systems for different applications with respect to the specific time horizon, such as optimal operations, grid stability, Demand Side Management (DSM) and long-term strategic planning. In th...
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Yangjinbo Zhang, Mark Reynolds, Artur Lugmayr, Katarina Damjanov and Ghulam Mubashar Hassan
While the consumption of visual information becomes a daily commodity integrated into our lives, data visualisation is dominated by dashboards and charts. The main contribution of this article is an advanced way to visualise data as a data story. We conv...
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