A critical review on diagnosis of diabetic retinopathy using machine learning and deep learning
Diabetic Retinopathy (DR) is a health condition caused due to Diabetes Mellitus (DM). It
causes vision problems and blindness due to disfigurement of human retina. According to …
causes vision problems and blindness due to disfigurement of human retina. According to …
Comparative research on network intrusion detection methods based on machine learning
C Zhang, D Jia, L Wang, W Wang, F Liu, A Yang - Computers & Security, 2022 - Elsevier
Network intrusion detection system is an essential part of network security research. It
detects intrusion behaviors through active defense technology and takes emergency …
detects intrusion behaviors through active defense technology and takes emergency …
[HTML][HTML] Sentiment analysis and classification of Indian farmers' protest using twitter data
Protests are an integral part of democracy and an important source for citizens to convey
their demands and/or dissatisfaction to the government. As citizens become more aware of …
their demands and/or dissatisfaction to the government. As citizens become more aware of …
An improved hybrid secure multipath routing protocol for MANET
Mobile ad hoc networks (MANETs) are self-organizing nodes in a mobile network that
collaborate to form dynamic network architecture to establish connections. In MANET, data …
collaborate to form dynamic network architecture to establish connections. In MANET, data …
Efficient feature selection and classification through ensemble method for network intrusion detection on cloud computing
Cloud computing is a preferred option for organizations around the globe, it offers scalable
and internet-based computing resources as a flexible service. Security is a key concern …
and internet-based computing resources as a flexible service. Security is a key concern …
Moving vehicle detection and classification using gaussian mixture model and ensemble deep learning technique
In recent decades, automatic vehicle classification plays a vital role in intelligent
transportation systems and visual traffic surveillance systems. Especially in countries that …
transportation systems and visual traffic surveillance systems. Especially in countries that …
Blockchain-based security mechanism for the medical data at fog computing architecture of internet of things
The recent developments in fog computing architecture and cloud of things (CoT)
technology includes data mining management and artificial intelligence operations …
technology includes data mining management and artificial intelligence operations …
A survey of intrusion detection from the perspective of intrusion datasets and machine learning techniques
The evolution in the attack scenarios has been such that finding efficient and optimal
Network Intrusion Detection Systems (NIDS) with frequent updates has become a big …
Network Intrusion Detection Systems (NIDS) with frequent updates has become a big …
A hybrid framework for intrusion detection in healthcare systems using deep learning
M Akshay Kumaar, D Samiayya… - Frontiers in Public …, 2022 - frontiersin.org
The unbounded increase in network traffic and user data has made it difficult for network
intrusion detection systems to be abreast and perform well. Intrusion Systems are crucial in e …
intrusion detection systems to be abreast and perform well. Intrusion Systems are crucial in e …
An analysis of the KDD99 and UNSW-NB15 datasets for the intrusion detection system
The significant increase in technology development over the internet makes network security
a crucial issue. An intrusion detection system (IDS) shall be introduced to protect the …
a crucial issue. An intrusion detection system (IDS) shall be introduced to protect the …