[HTML][HTML] An in-depth review of machine learning based Android malware detection
It is estimated that around 70% of mobile phone users have an Android device. Due to this
popularity, the Android operating system attracts a lot of malware attacks. The sensitive …
popularity, the Android operating system attracts a lot of malware attacks. The sensitive …
Deep Learning for fault detection in wind turbines
G Helbing, M Ritter - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Condition monitoring in wind turbines aims at detecting incipient faults at an early stage to
improve maintenance. Artificial neural networks are a tool from machine learning that is …
improve maintenance. Artificial neural networks are a tool from machine learning that is …
Artificial intelligence for chatbots in mental health: opportunities and challenges
With the help of artificial intelligence, the way humans are able to understand each other
and give a response accordingly, is fed into the chatbot systems, ie into systems that are …
and give a response accordingly, is fed into the chatbot systems, ie into systems that are …
Coronary heart disease diagnosis using deep neural networks
KH Miao, JH Miao - international journal of advanced …, 2018 - search.proquest.com
Abstract According to the World Health Organization, cardiovascular disease (CVD) is the
top cause of death worldwide. In 2015, over 30% of global deaths was due to CVD, leading …
top cause of death worldwide. In 2015, over 30% of global deaths was due to CVD, leading …
A review of computational modeling in wastewater treatment processes
Wastewater treatment companies are facing several challenges related to the optimization of
energy efficiency, meeting more restricted water quality standards, and resource recovery …
energy efficiency, meeting more restricted water quality standards, and resource recovery …
Chameleon: Optimized feature selection using particle swarm optimization and ensemble methods for network anomaly detection
In this paper, we propose an optimization approach by leveraging swarm intelligence and
ensemble methods to solve the non-deterministic feature selection problem. The proposed …
ensemble methods to solve the non-deterministic feature selection problem. The proposed …
A robust deep learning approach for automatic iranian vehicle license plate detection and recognition for surveillance systems
The process of detecting vehicles' license plates, along with recognizing the characters
inside them, has always been a challenging issue due to various conditions. These …
inside them, has always been a challenging issue due to various conditions. These …
Intelligent pneumonia identification from chest x-rays: A systematic literature review
Chest radiography is a significant diagnostic tool used to detect diseases afflicting the chest.
The automatic detection techniques associated with computer vision are being adopted in …
The automatic detection techniques associated with computer vision are being adopted in …
[HTML][HTML] Botnet detection and mitigation model for IoT networks using federated learning
FL de Caldas Filho, SCM Soares, E Oroski… - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) introduces significant security vulnerabilities, raising concerns
about cyber-attacks. Attackers exploit these vulnerabilities to launch distributed denial-of …
about cyber-attacks. Attackers exploit these vulnerabilities to launch distributed denial-of …
Surgical-tools detection based on Convolutional Neural Network in laparoscopic robot-assisted surgery
Laparoscopic surgery, a type of minimally invasive surgery, is used in a variety of clinical
surgeries because it has a faster recovery rate and causes less pain. However, in general …
surgeries because it has a faster recovery rate and causes less pain. However, in general …