This research attempts to identify stock market bubbles using technical indicators combined with machine-learning processes. If not detected early on, stock bubbles arising from overvaluation and speculation can incur...
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This work aims to improve plant disease prediction through the implementation of an intriguing and revolutionary model that combines refined algorithms for machine learning with predictive analytics strategies. The go...
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Compare Novel Adaboost Classifier Algorithm and MultiLayer Perceptron to improve accuracy. Materials and Methods: Research groups include Novel Adaboost Classifier Algorithm and MultiLayer Perceptron. The 64.4 MB data...
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autism spectrum disorder (ASD) is a neurological condition that disturbs an individual's capability to attach and communicate with others. It instigates in childhood and continues beyond adolescence and adulthood....
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Increase in the use of internet of things owned devices is one of the *** publicly available network many kinds of phishing attacks are able to enter into the mobile devices and corrupt the existing *** Phishing is th...
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Increase in the use of internet of things owned devices is one of the *** publicly available network many kinds of phishing attacks are able to enter into the mobile devices and corrupt the existing *** Phishing is the slow and resilient attack stacking techniques probe the *** proposed model is focused on detecting phishing attacks in internet of things enabled devices through a robust algorithm called Novel Watch and Trap Algorithm(NWAT).Though Predictive mapping,Predictive Validation and Predictive analysis mechanism is *** the test purpose Canadian Institute of cyber security(CIC)dataset is used for creating a robust prediction *** attack generates a resilience corruption works that slowly gathers the credential information from the *** proposed Predictive analysis model(PAM)enabled NWAT algorithm is used to predict the phishing probes in the form of suspicious process happening in the IoT *** prediction system considers the peer-to-peer communication window open for the established communication,the suspicious process and its pattern is identified by the new *** proposed model is validated by finding thepredictionaccuracy,Precision,recallsF1score,errorrate,Mathew’sCorre-lationCoefficient(MCC)andBalancedDetectionRate(BDR).Thepresented approach is comparatively analyzed with the state-of-the-art approach of existing system related to various types of Phishing probes.
Industrial equipment optimization is crucial for industries that want to improve operating efficiency, reduce downtime, and cut maintenance costs. Predictive maintenance is a major strategy to achieving these goals, s...
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Enhancing the Bitcoin cost prediction to improve accuracy using a decision tree in comparison with Lasso regression. For trend confirmations, we often utilize the financial phrases support and resistance to the predic...
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Today,securing devices connected to the internet is challenging as security threats are generated through various *** protection of cyber-physical systems from external attacks is a primary *** presented method is pla...
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Today,securing devices connected to the internet is challenging as security threats are generated through various *** protection of cyber-physical systems from external attacks is a primary *** presented method is planned on the prime motive of detecting cybersecurity attacks and their impacted *** proposed architecture employs the LYSIS dataset and formulates Multi Variant Exploratory Data Analysis(MEDA)through Principle Component Analysis(PCA)and Singular Value Decompo-sition(SVD)for the extraction of unique *** feature mappings are analyzed with Recurrent 2 Convolutional Neural Network(R2CNN)and Gradient Boost Regression(GBR)to identify the maximum *** Late Fusion Aggregation enabled with Cyber-Net(LFAEC)is the robust derived *** quantitative analysis uses predicted threat points with actual threat variables from which mean and difference vectors *** performance of the presented system is assessed against the parameters such as Accuracy,Precision,Recall,and F1 *** proposed method outperformed by 98% to 100% in all quality measures compared to existing methods.
The modern university computer lab and kindergarden through 12th grade classrooms require a centralized solution to efficiently manage a large number of desktops. The existing solutions either bring virtualization ove...
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The modern university computer lab and kindergarden through 12th grade classrooms require a centralized solution to efficiently manage a large number of desktops. The existing solutions either bring virtualization overhead in runtime or requires loading a large image over 30 GB leading to an unacceptable network latency. In this work, we propose Troy which takes advantage of the differencing virtual hard disk techniques in Windows *** such, Troy only loads the modifications made on one machine to all other machines. Troy consists of two modules that are responsible to generate an initial image and merge a differencing image with its parent image, respectively. Specifically, we identify the key fields in the virtual hard disk image that links the differencing image and the parent image and find the modified blocks in the differencing images that should be used to replace the blocks in the parent image. We further design a lazy copy solution to reduce the I/O burden in image merging. We have implemented Troy on bare metal machines. The evaluation results show that the performance of Troy is comparable to the native implementation in Windows, without requiring the Windows environment.
Skin cancer requires effective treatment for better survival rates especially in the case of melanoma. To reduce the image noise and removing hair the conventional method takes high computational complexity and decaye...
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