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Topic Review
Alert Correlation and Attack Scenario Recognition
Planned and targeted attacks, such as the advanced persistent threat (APT), are highly sophisticated forms of attack. They involve numerous steps and are intended to remain within a system for an extended length of period before progressing to the next stage of action. Anticipating the next behaviors of attackers is a challenging and crucial task due to the stealthy nature of advanced attack scenarios, in addition to the possible high volumes of false positive alerts generated by different security tools such as intrusion detection systems (IDSs).
  • 151
  • 16 Nov 2023
Topic Review
An Overview of the Fundamental Vaccine Safety Concepts
The rapid development of effective vaccines against COVID-19 is an extraordinary achievement. However, no medical product can ever be considered risk-free. Several countries have a pharmacovigilance system that detects, assesses, understands, and prevents possible adverse effects of a drug. To benefit from such huge data sources, specialists and researchers need advanced big data analysis tools able to extract value and find valuable insights
  • 354
  • 06 Sep 2022
Topic Review
Applications of Big Data in the Aerospace Domain
The term Big Data (BD) refers to massive datasets deriving from multiple sources such as people, sensors, or machines. Big Data applications have attracted ever-increasing attention in several scientific and business domains. Biomedicine, transportation, entertainment, and aerospace are only a few examples of sectors which are increasingly dependent on applications, where knowledge is extracted from huge volumes of heterogeneous data. 
  • 266
  • 29 May 2023
Topic Review
Applications of the Intelligent Traffic Management System
The intelligent traffic management system (ITMS) is primarily used in the management of traffic in four distinct regions of traffic scenes by using imaging technology.
  • 1.8K
  • 09 Mar 2023
Topic Review
Approaches of Automated Heart Disease Prediction
Cardiovascular diseases (CVDs) are the leading cause of death globally. Detecting this kind of disease represents the principal concern of many scientists, and techniques belonging to various fields have been developed to attain accurate predictions. 
  • 155
  • 26 Oct 2023
Topic Review
Approaches to Predict Pedestrian Dynamics
Identifying the factors that control the dynamics of pedestrians is a crucial step toward modeling and building various pedestrian-oriented simulation systems. Several approaches have been proposed by researchers to predict pedestrians’ movement characteristics using different methods and techniques. Based solely on experimental evidence, researchers isolate the factors that influence the interactions between pedestrians in single-file movement. With artificial neural networks, one can approximate the fitting function that describes pedestrians’ movement without having modeling bias. The analysis is focused on the distances and range of interactions across neighboring pedestrians.
  • 528
  • 23 Aug 2022
Topic Review
Artificial Intelligence for Facial Emotion Detection in Children
The knowledge of the emotions of children with Down Syndrome (DS) obtained through the analysis of their facial expressions during an assisted therapy with dolphins using Artificial Vision and Deep Convolutional Neural Networks can significantly contribute to the effectiveness of the therapy.  Understanding the emotional responses of DS children during therapy sessions can provide valuable insights into their level of engagement, comfort, and overall well-being. This information can help therapists and caregivers tailor the therapy sessions to meet the specific emotional needs of each child, enhancing their overall experience and potentially improving therapeutic outcomes. 
  • 317
  • 30 Aug 2023
Topic Review
Assessing Cognitive Workload Using Cardiovascular Measures and Voice
Monitoring cognitive workload has the potential to improve both the performance and fidelity of human decision making. Cognitive workload can be assessed and monitored using cardiovascular measures and voice. Heart rate and blood pressure signals are combined with voice signal formant features to classify cognitive workload into three levels of difficulty. The feature level fusion combination is carried out using each heartbeat to synchronize the two data sources. This allows the subsequent machine learning mechanism to monitor cognitive workload on a beat-by-beat basis.
  • 204
  • 28 Sep 2022
Topic Review
ATOM Program System
The ATOM computer system is designed to study the structure of atoms and the physical processes occurring with their participation. 
  • 528
  • 07 Jun 2022
Topic Review
Audio–Tactile Feedback in Volumetric Music Video
With the reinvigoration of XR technology in general, the current market offers several innovative modes of music creativity in 3D computer-generated imagery (CGI) production environments that can be accessed via virtual reality (VR) head-mounted displays (HMDs). To facilitate multimodality in VR, audio-tactile haptic feedback in volumetric music videos can have a positive impact on user experience.
  • 164
  • 21 Jul 2023
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