A performance overview of machine learning-based defense strategies for advanced persistent threats in industrial control systems
Cybersecurity incident response is a very crucial part of the cybersecurity management
system. Adversaries emerge and evolve with new cybersecurity tactics, techniques, and …
system. Adversaries emerge and evolve with new cybersecurity tactics, techniques, and …
[HTML][HTML] A novel ensemble method for enhancing Internet of Things device security against botnet attacks
The growing number of connected Internet of Things (IoT) devices has led to the daily
growth of network botnet attacks. The networks of compromised devices controlled by a …
growth of network botnet attacks. The networks of compromised devices controlled by a …
Novel class probability features for optimizing network attack detection with machine learning
Network attacks refer to malicious activities exploiting computer network vulnerabilities to
compromise security, disrupt operations, or gain unauthorized access to sensitive …
compromise security, disrupt operations, or gain unauthorized access to sensitive …
A novel methodology for human kinematics motion detection based on smartphones sensor data using artificial intelligence
Kinematic motion detection aims to determine a person's actions based on activity data.
Human kinematic motion detection has many valuable applications in health care, such as …
Human kinematic motion detection has many valuable applications in health care, such as …
[HTML][HTML] A novel transfer learning-based model for diagnosing malaria from parasitized and uninfected red blood cell images
Malaria represents a potentially fatal communicable illness triggered by the Plasmodium
parasite. This disease is transmitted to humans through the bites of Anopheles mosquitoes …
parasite. This disease is transmitted to humans through the bites of Anopheles mosquitoes …
LogRF: An approach to human pose estimation using skeleton landmarks for physiotherapy fitness exercise correction
Human pose and gesture estimation are crucial in correcting physiotherapy fitness
exercises. In recent years, advancements in computer vision and machine learning …
exercises. In recent years, advancements in computer vision and machine learning …
Transfer learning-based smart features engineering for osteoarthritis diagnosis from knee X-ray images
Osteoarthritis is a deteriorating joint disease affecting millions worldwide. Osteoarthritis is a
chronic condition that develops over time due to joint wear and tears. The degeneration of …
chronic condition that develops over time due to joint wear and tears. The degeneration of …
Effective feature engineering technique for heart disease prediction with machine learning
Heart failure is a chronic disease affecting millions worldwide. An efficient machine learning-
based technique is needed to predict heart failure health status early and take necessary …
based technique is needed to predict heart failure health status early and take necessary …
Preventing crimes through gunshots recognition using novel feature engineering and meta-learning approach
Gunshot sounds are common in crimes, particularly those involving threats, harassment, or
killing. The gunshot sounds in crimes can create fear and panic among victims, often leading …
killing. The gunshot sounds in crimes can create fear and panic among victims, often leading …
Novel ensemble learning algorithm for early detection of lower back pain using spinal anomalies
Lower back pain (LBP) is a musculoskeletal condition that affects millions of people
worldwide and significantly limits their mobility and daily activities. Appropriate ergonomics …
worldwide and significantly limits their mobility and daily activities. Appropriate ergonomics …