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Data distribution tailoring revisited: cost-efficient integration of representative data
Data scientists often develop data sets for analysis by drawing upon available data sources. A major challenge is ensuring that the data set used for...
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Map** and embedding infrastructure resource management in software defined networks
Software-Defined Networking (SDN) is one of the promising and effective approaches to establishing network virtualization by providing a central...
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Agile Project Management
Project management methodology gives us the structure and the framework with which to work by, allowing us to replicate our success (or failure! If...
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Blockchain-based autonomous decentralized trust management for social network
In a permissionless social network environment, it is difficult for a user to assess the trustworthiness of other users. Thus, trust management...
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Design and Implementation of an Online and Cost-Effective Attendance Management System Using Smartphones and Cloud Services
Taking attendance in schools is an important daily activity which is directly related to students’ academic performance. Traditional roll-call-based...
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Cost-Aware Scheduling and Data Skew Alleviation for Big Data Processing in Heterogeneous Cloud Environment
For big data applications, it is important to allocate resources reasonably and schedule tasks effectively. As one of the popular big data processing...
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CELSIUS: an international project providing integrated, systematic, cost-effective large-scale IoT solutions for improving energy efficiency of medium- and large-sized buildings
Worldwide, buildings consume about 40 percent of the overall energy resources and contribute to an average of 30 percent of the global carbon...
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Machine learning experiment management tools: a mixed-methods empirical study
Machine Learning (ML) experiment management tools support ML practitioners and software engineers when building intelligent software systems. By...
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SHPIA 2.0: An Easily Scalable, Low-Cost, Multi-purpose Smart Home Platform for Intelligent Applications
Sensors, electronic devices, and smart systems have invaded the market and our daily lives. As a result, their utility in smart home contexts to...
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A model predictive control strategy with switching cost functions for cooperative operation of trains
The cooperative control of trains is proposed as an innovative method for further improving operation efficiency. Model predictive control (MPC) has...
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Hunger games search optimization with deep learning model for sustainable supply chain management
The supply chain network is one of the most important areas of focus in the majority of business circumstances. Blockchain technology is a feasible...
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A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction
Demand-side management, a new development in smart grid technology, has enabled communication between energy suppliers and consumers. Demand side...
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Improved feature extraction network in lightweight YOLOv7 model for real-time vehicle detection on low-cost hardware
The advancement of unmanned aerial vehicles (UAVs) has drawn researchers to update object detection algorithms for better accuracy and computation...
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A method of system selection for shuttle-based storage and retrieval system considering cost and performance
The shuttle-based storage/retrieval system (SBS/RS) is a new type of automatic warehouse system. More and more enterprises choose it because of its...
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Blockchain-Technologie im Supply Chain Management – Anwendungspotenziale und Kompetenzlücken
Companies and application-oriented research have identified enormous potential for blockchain technology in various sectors. The use of blockchain...
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AHHO: Arithmetic Harris Hawks Optimization algorithm for demand side management in smart grids
Energy management strategies are crucial to efficiently scheduling appliances and preventing peak generation due to increased energy demand. It is...
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Blockchain based distributed trust management in IoT and IIoT: a survey
The Internet of Things (IoT) connects objects that sense, communicate, and interact to achieve shared goals, and its integration with manufacturing...
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Upstream bug management in Linux distributions
A Linux distribution consists of thousands of packages that are either developed by in-house developers (in-house packages) or by external projects...
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An ensemble and cost-sensitive learning-based root cause diagnosis scheme for wireless networks with spatially imbalanced user data distribution
A novel feature extraction method that can tolerate imbalanced user data is proposed. A cost-sensitive SVM assigns different misclassification costs...
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Cost-sensitive sparse group online learning for imbalanced data streams
Effective streaming feature selection in dynamic online environments is essential in numerous applications. However, most existing methods evaluate...
