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 …
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 …
Fake profile recognition using big data analytics in social media platforms
MJ Awan, MA Khan, ZK Ansari… - International …, 2022 - inderscienceonline.com
Online social media platforms today have many more users than ever before. This increased
fake profiles trends which is harming both social and business entities as fraudsters use …
fake profiles trends which is harming both social and business entities as fraudsters use …
Improved deep convolutional neural network to classify osteoarthritis from anterior cruciate ligament tear using magnetic resonance imaging
Anterior cruciate ligament (ACL) tear is caused by partially or completely torn ACL ligament
in the knee, especially in sportsmen. There is a need to classify the ACL tear before it fully …
in the knee, especially in sportsmen. There is a need to classify the ACL tear before it fully …
Automated knee MR images segmentation of anterior cruciate ligament tears
The anterior cruciate ligament (ACL) is one of the main stabilizer parts of the knee. ACL
injury leads to causes of osteoarthritis risk. ACL rupture is common in the young athletic …
injury leads to causes of osteoarthritis risk. ACL rupture is common in the young athletic …