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Topic Review
Biography
Topic Review
Anomaly Detection in Electrocardiogram Sensor Data
Monitoring heart electrical activity is an effective way of detecting existing and developing conditions. This is usually performed as a non-invasive test using a network of up to 12 sensors (electrodes) on the chest and limbs to create an electrocardiogram (ECG). By visually observing these readings, experienced professionals can make accurate diagnoses and, if needed, request further testing. However, the training and experience needed to make accurate diagnoses are significant.
257
01 Mar 2024
Topic Review
Resource Elasticity
Elasticity as the ability of a system to be able to add or remove computational resources during the use and processing of data, in order to adapt to workload variations in real time . These resources can be CPU cores, RAM memory, GPU, Virtual Machine instances (known as VM's), among others. Elasticity is a dynamic property of Cloud Computing. There are two types of elasticity in the literature: horizontal and vertical. Vertical elasticity consists of the system's ability to increase or decrease the characteristics of computational resources, such as CPU time, cores, memory and network. Horizontal elasticity consists of the system's ability to add or remove instances of computational resources associated with the application that uses them. This entry will describe the main classifications for elastic systems.
285
01 Mar 2024
Topic Review
The Theory of Mobile Usability
The success of a new mobile application depends on a variety of factors ranging from business understanding, customer value, and perceived quality of use. In this sense, the topic of usability testing of mobile applications is relevant from the point of view of user satisfaction and acceptance.
312
01 Mar 2024
Topic Review
The Microverse
The proliferation of Internet of Things (IoT) technology combined with evolving artificial intelligence (AI) and machine learning (ML) promote unprecedented advancements in ubiquitous and seamless services for human activities. In the context of smart cities, the fusion of the metaverse with the IoT—an expansive network of interlinked devices and sensors—heralds a transformative era in urban interaction, blending the digital with the physical.
204
01 Mar 2024
Topic Review
DNS Tunnelling Detection
The Domain Name System (DNS) protocol is fundamental to the operation of the Internet with the primary purpose of translating domain names to IP addresses. This important service facilitates access to the Internet by using website names or any arbitrary domain names. The DNS protocol communicates internal requests to external remote servers and creates a landscape for attackers to perform malicious activities such as stealing credentials and sensitive data. One of the most effective DNS attack types is DNS tunnelling, where the attacker creates a tunnel between the client’s network and the attacker’s machine, utilising command and control channels to obscure data and bypass the firewall and intrusion detection systems.
283
01 Mar 2024
Topic Review
Pedestrian Tracking in Autonomous Vehicles
Effective collision risk reduction in autonomous vehicles relies on robust and straightforward pedestrian tracking. Challenges posed by occlusion and switching scenarios significantly impede the reliability of pedestrian tracking.
342
29 Feb 2024
Topic Review
Relevant Approaches of Zero Trust Network Model
Zero Trust Architecture research is now in its early stages, with a primary focus on the framework itself, access control, algorithms of trust evaluation, and identity authentication. These are the primary study domains within the Zero Trust field.
166
29 Feb 2024
Topic Review
Technological Breakthroughs in Sport
We are currently witnessing an unprecedented era of digital transformation in sports, driven by the revolutions in Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), and Data Visualization (DV). These technologies hold the promise of redefining sports performance analysis, automating data collection, creating immersive training environments, and enhancing decision-making processes. Traditionally, performance analysis in sports relied on manual data collection, subjective observations, and standard statistical models. These methods, while effective, had limitations in terms of time and subjectivity.
422
29 Feb 2024
Topic Review
Data Lake, Spark and Hive
Big data are a large number of datasets that are difficult to store and process using existing database management tools. Big data have some characteristics, denoted by 5Vs: volume, velocity, veracity, variety, and value. Volume refers to the size of the data, velocity refers to the speed of the data from the sources to the destination (data flow), variety refers to different format types of the data, veracity refers to the quality of the data, and value refers to the importance of the data collected without analysis and insight. Lastly, the characteristics have become more than ten, like volatility and visualization value.
231
29 Feb 2024
Topic Review
Deep Learning for IDSs in Time Series Data
Classification-based intrusion detection systems (IDSs) use machine learning algorithms to classify incoming data into different categories based on a set of features. Even though classification-based IDSs are effective in detecting known attacks, they can be less effective in identifying new and unknown attacks that have a small correlation with the training dataset. On the other hand, anomaly detection-based approaches use statistical models and machine learning algorithms to establish a baseline of normal behavior and identify deviations from that baseline.
259
29 Feb 2024
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