Blockchain-based IoT devices in supply chain management: a systematic literature review
Through recent progress, the forms of modern supply chains have evolved into complex
networks. The supply chain management systems face a variety of challenges. These …
networks. The supply chain management systems face a variety of challenges. These …
Big data covid-19 systematic literature review: Pandemic crisis
The COVID-19 pandemic has frightened people worldwide, and coronavirus has become
the most commonly used phrase in recent years. Therefore, there is a need for a systematic …
the most commonly used phrase in recent years. Therefore, there is a need for a systematic …
Real-time DDoS attack detection system using big data approach
Currently, the Distributed Denial of Service (DDoS) attack has become rampant, and shows
up in various shapes and patterns, therefore it is not easy to detect and solve with previous …
up in various shapes and patterns, therefore it is not easy to detect and solve with previous …
OPCNN-FAKE: Optimized convolutional neural network for fake news detection
H Saleh, A Alharbi, SH Alsamhi - IEEE Access, 2021 - ieeexplore.ieee.org
Recently, there is a rapid and wide increase in fake news, defined as provably incorrect
information spread with the goal of fraud. The spread of this type of misinformation is a …
information spread with the goal of fraud. The spread of this type of misinformation is a …
Image-based malware classification using VGG19 network and spatial convolutional attention
In recent years the amount of malware spreading through the internet and infecting
computers and other communication devices has tremendously increased. To date …
computers and other communication devices has tremendously increased. To date …
A recommendation engine for predicting movie ratings using a big data approach
In this era of big data, the amount of video content has dramatically increased with an
exponential broadening of video streaming services. Hence, it has become very strenuous …
exponential broadening of video streaming services. Hence, it has become very strenuous …
Detection of COVID-19 in chest X-ray images: A big data enabled deep learning approach
Coronavirus disease (COVID-19) spreads from one person to another rapidly. A recently
discovered coronavirus causes it. COVID-19 has proven to be challenging to detect and …
discovered coronavirus causes it. COVID-19 has proven to be challenging to detect and …
Executing spark BigDL for leukemia detection from microscopic images using transfer learning
Acute Leukemia disease is the bone marrow problem common both in children and adults.
Medical image analytics is applied in the field of Digital Image Processing (DIP) and Deep …
Medical image analytics is applied in the field of Digital Image Processing (DIP) and Deep …
The influence of fake news on social media: analysis and verification of web content during the COVID-19 pandemic by advanced machine learning methods and …
A Nistor, E Zadobrischi - Sustainability, 2022 - mdpi.com
The purpose of this research was to analyze the prevalence of fake news on social
networks, and implicitly, the economic crisis generated by the COVID-19 pandemic, as well …
networks, and implicitly, the economic crisis generated by the COVID-19 pandemic, as well …
Fake news in virtual community, virtual society, and metaverse: A survey
J Wang, S Makowski, A Cieślik, H Lv… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In the trend of the accelerated progression of communication network technology, the
emergence of virtual communities (VCs), virtual societies (VSs), metaverse, and other …
emergence of virtual communities (VCs), virtual societies (VSs), metaverse, and other …