We present findings from experiments in Medicare fraud detection, that are the result of research on two new, publicly available datasets. In this research, we employ popular, open-source Machine Learning algorithms t...
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The global community is now seriously threatened by the COVID-19 pandemic. The government of every nation must pay close attention to the analysis of this disease to take the required actions to lessen the impact of t...
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Nation’s rapid urbanization growth and economic development, waste generation has significantly increased. An important environmental concern on a global scale is waste management. In a majority of the world’s natio...
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In addition to decrease emissions of greenhouse gases and safeguard the environment for future generations, smart grid technology is helping to transform government and industry. The next generation electricity system...
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An emerging vehicular ad hoc network (VANET) is a network of connected vehicles which are communicating with each other and with roadside units (RSUs) exchanging useful information. As a result, road safety is increas...
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The study suggests a scalable method for estimating residential power usage. To increase the forecasting accuracy, an SVM (support vector machine) based technique combines many machine learning models, such as random ...
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Since the introduction of Bitcoin,numerous studies on Bitcoin mining attacks have been conducted,and as a result,many countermeasures to these attacks have been *** reputation-based mining paradigm is a comprehensive ...
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Since the introduction of Bitcoin,numerous studies on Bitcoin mining attacks have been conducted,and as a result,many countermeasures to these attacks have been *** reputation-based mining paradigm is a comprehensive countermeasure solution to this problem with the goal of regulating the mining process and preventing mining *** is accomplished by incentivizing miners to avoid dishonest mining strategies using reward and punishment *** model was validated solely based on game theoretical analyses,and the real-world implications of this model are not known due to the lack of empirical *** shed light on this issue,we designed a simulated mining platform to examine the effectiveness of the reputation-based mining paradigm through data *** implemented block withholding attacks in our simulation and ran the following three scenarios:Reputation mode,non-reputation mode,and no attack *** comparing the results from these three scenarios,interestingly,we found that the reputation-based mining paradigm decreases the number of block withholding attacks,and as a result,the actual revenue of individual miners becomes closer to their theoretical expected *** addition,we observed that the confidence interval test can effectively detect block withholding attacks;however,the test also results in a small number of false positive *** the effectiveness of the reputation-based model relies on attack detection,further research is needed to investigate the effect of this model on other dishonest mining strategies.
The reduction of communication opportunities between students in online classes under the COVID-19 pandemic has been identified as a problem. Although student communication in online classes is said to have a positive...
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Conformal prediction is a model-agnostic tool for constructing prediction sets that are valid under the common i.i.d. assumption, which has been applied to quantify the prediction uncertainty of deep net classifiers. ...
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Unmanned Ariel Vehicles(UAVs)are flying objects whose trajectory can be remotely *** have lot of potential applications in the areas of wireless communications,internet of things,security,traffic management,monitoring...
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Unmanned Ariel Vehicles(UAVs)are flying objects whose trajectory can be remotely *** have lot of potential applications in the areas of wireless communications,internet of things,security,traffic management,monitoring,and smart *** enabling reliable communication between UAVs and ground nodes,emergency notifications can be efficiently and quickly disseminated to a wider *** can gather data from remote areas,industrial units,and emergency scenarios without human *** can support ubiquitous connectivity,green communications,and intelligent wireless resource *** efficiently use UAVs for all these applications,important challenges need to be *** this paper,we first present a detailed classification of UAVs based on factors such as their size,communication range,weight,and flight *** also explain the hardware system configuration and uses of these *** present a brief overview of recent work done related to three major challenges in *** challenges include trajectory control,energy efficiency and resource *** also present three open challenges and future opportunities for efficient UAV *** include use of learning algorithms for resource allocation and energy efficiency in UAVs,intelligent surfaces-based communications for enhanced reliability in UAVs,and security algorithms to combat malicious attacks against UAVs.
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