Covid-19 public sentiment insights and machine learning for tweets classification
Along with the Coronavirus pandemic, another crisis has manifested itself in the form of
mass fear and panic phenomena, fueled by incomplete and often inaccurate information …
mass fear and panic phenomena, fueled by incomplete and often inaccurate information …
Darkdetect: Darknet traffic detection and categorization using modified convolution-long short-term memory
Darknet is commonly known as the epicenter of illegal online activities. An analysis of
darknet traffic is essential to monitor real-time applications and activities running over the …
darknet traffic is essential to monitor real-time applications and activities running over the …
A novel methodology for malicious traffic detection in smart devices using BI-LSTM–CNN-dependent deep learning methodology
T Anitha, S Aanjankumar, S Poonkuntran… - Neural Computing and …, 2023 - Springer
This paper aims to propose a new technique for identifying and categorizing malevolent
Internet traffic within the context of security for smart devices. Given the rising usage of smart …
Internet traffic within the context of security for smart devices. Given the rising usage of smart …
Multimodal classification of onion services for proactive cyber threat intelligence using explainable deep learning
The dark web has been confronted with a significant increase in the number and variety of
onion services of illegitimate and criminal intent. Anonymity, encryption, and the technical …
onion services of illegitimate and criminal intent. Anonymity, encryption, and the technical …
Comparison of machine learning approaches for detecting COVID-19-lockdown-related discussions during recovery and lockdown periods
Ever since COVID-19 was declared a pandemic, governments around the world have
implemented numerous phases of lockdown measures to curb the spread of the virus. These …
implemented numerous phases of lockdown measures to curb the spread of the virus. These …
Manuscripts character recognition using machine learning and deep learning
MA Islam, IE Iacob - Modelling, 2023 - mdpi.com
The automatic character recognition of historic documents gained more attention from
scholars recently, due to the big improvements in computer vision, image processing, and …
scholars recently, due to the big improvements in computer vision, image processing, and …
Bidirectional attention mechanism-based deep learning model for text classification under natural language processing
Existing text classification models based on graph convolutional networks usually update
node representations simply by fusing neighborhood information of different orders through …
node representations simply by fusing neighborhood information of different orders through …
[图书][B] Covid-19: origin, detection and impact analysis using artificial intelligence computational techniques
This book highlights progress in terms of Virus Biology and Infection Detection, Prevention,
and Control, along with Screening, Testing, and Detection Techniques, that will provide …
and Control, along with Screening, Testing, and Detection Techniques, that will provide …
Survey Paper on Web Content Extraction & Classification
D Shete, S Bojewar, A Sanghvi - 2021 6th International …, 2021 - ieeexplore.ieee.org
Over the last few years, web data extraction has gained popularity. Product information on
the Ecommerce website floods the internet with big data. Web-based business sites these …
the Ecommerce website floods the internet with big data. Web-based business sites these …
Edge‐Based Detection and Classification of Malicious Contents in Tor Darknet Using Machine Learning
R Li, S Chen, J Yang, E Luo - Mobile Information Systems, 2021 - Wiley Online Library
With the increase of data in the network, the load of servers and communication links
becomes heavier and heavier. Edge computing can alleviate this problem. Due to a sea of …
becomes heavier and heavier. Edge computing can alleviate this problem. Due to a sea of …