Browsing by Subject "Big data"
Now showing items 1-20 of 27
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A Bi-layered parallel training architecture for large-scale convolutional neural networks
( IEEE Computer Society , 2019 , Article)Benefitting from large-scale training datasets and the complex training network, Convolutional Neural Networks (CNNs) are widely applied in various fields with high accuracy. However, the training process of CNNs is very ... -
A business collaborative decision making system for network of SMEs
( Springer New York LLC , 2016 , Conference Paper)The enterprise collaboration has gain much popularity and strength with the inception of digital revolution. The concept of enterprise collaboration has observed a dynamic and evolving phenomenon of value added chain. This ... -
A parallel patient treatment time prediction algorithm and its applications in hospital queuing-recommendation in a big data environment
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)Effective patient queue management to minimize patient wait delays and patient overcrowding is one of the major challenges faced by hospitals. Unnecessary and annoying waits for long periods result in substantial human ... -
Applying big data methods to understanding human behavior and health
( Frontiers Media S.A. , 2018 , Article)[No abstract available] -
Are enterprises ready for big data analytics? A survey-based approach
( Inderscience Publishers , 2017 , Article)Big data analytics is a fascinating topic in the field of computer science and information systems as it challenges fundamental aspects of computation. The aim of this study is to investigate the acceptance and usage of ... -
AUDIT: approving and tracking updates with dependencies in collaborative databases
( Springer New York LLC , 2018 , Article)Collaborative databases such as genome databases, often involve extensive curation activities where collaborators need to interact to be able to converge and agree on the content of data. In a typical scenario, a member ... -
Big data analytics: does organizational factor matters impact technology acceptance?
( SpringerOpen , 2017 , Article)Ever since the emergence of big data concept, researchers have started applying the concept to various fields and tried to assess the level of acceptance of it with renown models like technology acceptance model (TAM) and ... -
Big data velocity management-from stream to warehouse via high performance memory optimized index join
( IEEE , 2020 , Article)Efficient resource optimization is critical to manage the velocity and volume of real-time streaming data in near-real-time data warehousing and business intelligence. This article presents a memory optimisation algorithm ... -
Blockchain-Enhanced Data Sharing with Traceable and Direct Revocation in IIoT
( IEEE Computer Society , 2021 , Article)The industrial Internet of Things (IIoT) supports recent developments in data management and information services, as well as services for smart factories. Nowadays, many mature IIoT cloud platforms are available to serve ... -
Boosting domestic energy efficiency through accurate consumption data collection
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Domestic user behavior shapes overall power consumption, necessitating the development of systems that analyze and help foster energy efficient behavior. The most important step in the process is the collection and management ... -
Comfort and use in building evaluation: Information modelling and post-occupancy in the built environment
( Beijing JiaoTong University , 2019 , Conference Paper)Advances in computer science and information management increasingly allow built environment professionals to envision the day when there will be 'cradle-to-grave' modelling of buildings. This will involve measurement and ... -
Comfort and use in building evaluation: Information modelling and post-occupancy in the built environment
(2019 , Conference Paper)Advances in computer science and information management increasingly allow built environment professionals to envision the day when there will be ‘cradle-to-grave’ modelling of buildings. This will involve measurement and ... -
A comprehensive analysis of healthcare big data management, analytics and scientific programming
( IEEE , 2020 , Article)Healthcare systems are transformed digitally with the help of medical technology, information systems, electronic medical records, wearable and smart devices, and handheld devices. The advancement in the medical big data, ... -
Deep and transfer learning for building occupancy detection: A review and comparative analysis
( Elsevier , 2022 , Short Survey)The building internet of things (BIoT) is quite a promising concept for curtailing energy consumption, reducing costs, and promoting building transformation. Besides, integrating artificial intelligence (AI) into the BIoT ... -
A Differentially Private Big Data Nonparametric Bayesian Clustering Algorithm in Smart Grid
( IEEE Computer Society , 2020 , Article)Smart systems, including smart grid (SG) and Internet of Things (IoT), have been playing a critical role in addressing contemporary issues. Taking full advantage of the big data generated by the smart grid can enhance the ... -
Endorsing domestic energy saving behavior using micro-moment classification
( Elsevier Ltd , 2019 , Article)With the ever-growing rise of energy consumption and its devastating financial and environmental repercussions, it is of utmost significance to moderate energy usage with proper energy efficiency tools. This is particularly ... -
Endorsing Energy Efficiency Through Accurate Appliance-Level Power Monitoring, Automation and Data Visualization
( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)Accrediting the fast economic growth and the enhancement of people's live standards, the overall household's energy consumption is becoming more and more substantial. Thus, the need of conserving energy is becoming a ... -
Integration of federated machine learning and blockchain for the provision of secure big data analytics for Internet of Things
( Elsevier , 2021 , Article)Big data enables the optimization of complex supply chains through Machine Learning (ML)-based data analytics. However, data analytics comes with challenges such as the loss of control and privacy leading to increased risk ... -
Intelligent Edge-Based Recommender System for Internet of Energy Applications
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Preserving energy in households and office buildings is a significant challenge, mainly due to the recent shortage of energy resources, the uprising of the current environmental problems, and the global lack of utilizing ... -
Opportunity analysis for enterprise collaboration between networks of SMEs
( CEUR-WS , 2015 , Conference Paper)The competitive environment within the corporate have forced the small and medium enterprises (SMEs) to be more dynamic in adapting new business strategies. To achieve this objective, SMEs resort to enterprise collaboration ...