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[HTML][HTML] High performance classification model to identify ransomware payments for heterogeneous bitcoin networks
The Bitcoin cryptocurrency is a worldwide prevalent virtualized digital currency
conceptualized in 2008 as a distributed transactions system. Bitcoin transactions make use …
conceptualized in 2008 as a distributed transactions system. Bitcoin transactions make use …
[HTML][HTML] A lightweight in-vehicle alcohol detection using smart sensing and supervised learning
According to the risk investigations of being involved in an accident, alcohol-impaired
driving is one of the major causes of motor vehicle accidents. Preventing highly intoxicated …
driving is one of the major causes of motor vehicle accidents. Preventing highly intoxicated …
An efficient proactive VM consolidation technique with improved LSTM network in a cloud environment
The power consumption of datacenters is multiplying, and several survey reports stated that
the power consumption of datacenters will reach approximately 8000 TWh by 2030 if do not …
the power consumption of datacenters will reach approximately 8000 TWh by 2030 if do not …
URL-based phishing websites detection via machine learning
Phishing is a cybersecurity attack that is used to trick victim users to provide sensitive
information or deploy malicious software on their infrastructure. Depending on the target …
information or deploy malicious software on their infrastructure. Depending on the target …
Detection of money laundering in bitcoin transactions
Combating Money laundering through cryptocurrencies has become a more challenging
task due to the inherent anonymity of cryptocurrency transactions and the absence of …
task due to the inherent anonymity of cryptocurrency transactions and the absence of …
Early stage diabetes risk prediction via machine learning
Diabetes disease is triggering many health problems including microvascular diseases,
macrovascular abnormalities, and neuropathic diseases. From an economic perspective …
macrovascular abnormalities, and neuropathic diseases. From an economic perspective …
Classification of data on stacked autoencoder using modified sigmoid activation function
A Kumar, S Singh Sodhi - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
A Neural Network is one of the techniques by which we classify data. In this paper, we have
proposed an effectively stacked autoencoder with the help of a modified sigmoid activation …
proposed an effectively stacked autoencoder with the help of a modified sigmoid activation …
Neighbor discovery protocol anomaly-based detection system using neural network algorithm
The exponential increase in Internet-facing devices in the last decade has resulted in IP
address exhaustion due to the limitations of the existing IPv4 address space. Therefore, the …
address exhaustion due to the limitations of the existing IPv4 address space. Therefore, the …
Scaled Conjugate Gradient Function Fitting Based Artificial Neural Network to Mitigate Power Quality Issues in an AC Micro Grid.
DP Acharya, S Choudhury… - … Journal on Electrical …, 2022 - search.ebscohost.com
The scarcity of conventional energy sources leads to the exponentially use of renewable
energy sources to meet the huge power demand. However, using renewable sources is …
energy sources to meet the huge power demand. However, using renewable sources is …
[PDF][PDF] A Lightweight In-Vehicle Alcohol Detection Using Smart Sensing and Supervised Learning. Computers 2022, 11, 121
Q Abu Al-Haija, M Krichen - 2022 - academia.edu
According to the risk investigations of being involved in an accident, alcohol-impaired
driving is one of the major causes of motor vehicle accidents. Preventing highly intoxicated …
driving is one of the major causes of motor vehicle accidents. Preventing highly intoxicated …