Sensors, 2022 Wireless sensor networks (WSNs) have recently been viewed as the basic architecture that prepared the way for the Internet of Things (IoT) to arise.
Roopali Dogra +5 more
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Common Problems With the Usage of F-Measure and Accuracy Metrics in Medical Research
IEEE Access, 2023 Problem Binary classifiers are widely used in medical research, especially for diagnoses. They are usually evaluated via performance metrics computed based on confusion matrices.
Luigi Lavazza, Sandro Morasca
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Evaluation Methodology for Virtual Base Station Platforms in Radio Access Networks
IEEE Access, 2018 Virtual base stations (BS) with scalable resources and flexible functions are necessary for the fifth-generation and future mobile systems. The virtualization platform is the fundamental component of virtual BSs and plays a very important role in ...
Lin Tian +6 more
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Optimal approach in the EMS of microgrids based on online forecasts
The Journal of Engineering, 2019 Energy management system (EMS) is able to coordinate the generation and load to ensure economic and reliable operation and improve performance metrics of microgrids (MGs).
Wang Die +7 more
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Drought Forecasting: A Review and Assessment of the Hybrid Techniques and Data Pre-Processing
Hydrology, 2022 Drought is a prolonged period of low precipitation that negatively impacts agriculture, animals, and people. Over the last decades, gradual changes in drought indices have been observed.
Mustafa A. Alawsi +4 more
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Performance Metrics in Supply Chain Management. Evidence from Romanian Economy [PDF]
Amfiteatru Economic, 2013 The proposed empirical research uses a national sample of 19 Romanian companies from various industries to estimate de utilities for financial and non-financial performance measures used in Romanian supply chains.
Alexandru Constăngioară
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Pragmatic Study of Botnet Attack Detection In An IoT Environment [PDF]
E3S Web of ConferencesA comprehensive search for primary research published between 2014 and 2023 was carried across several databases. Studies that describe the application of machine learning (ML) and deep learning techniques for if they was carried out across several ...
Vennapureddy Rajasree, Srinivasulu T.
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Improved Classification of Blockchain Transactions Using Feature Engineering and Ensemble Learning
Future Internet, 2021 Although the blockchain technology is gaining a widespread adoption across multiple sectors, its most popular application is in cryptocurrency. The decentralized and anonymous nature of transactions in a cryptocurrency blockchain has attracted a ...
Chandrashekar Jatoth +3 more
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Examining the Performance of Fog-Aided, Cloud-Centered IoT in a Real-World Environment
Sensors, 2021 The fog layer provides substantial benefits in cloud-based IoT applications because it can serve as an aggregation layer and it moves the computation resources nearer to the IoT devices; however, it is important to ensure adequate performance is achieved
Mohammed A. Aleisa +3 more
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New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacks
Sensors, 2019 In this work, two new self-tuning collaborative-based mechanisms for jamming detection are proposed. These techniques are named (i) Connected Mechanism and (ii) Extended Mechanism.
Carolina Del-Valle-Soto +5 more
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