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Topic Review
Biography
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.
345
29 May 2023
Topic Review
The Rise of Adversarial Machine Learning
Internet of Things (IoT) technologies serve as a backbone of cutting-edge intelligent systems. Machine Learning (ML) paradigms have been adopted within IoT environments to exploit their capabilities to mine complex patterns. Despite the reported promising results, ML-based solutions exhibit several security vulnerabilities and threats. Specifically, Adversarial Machine Learning (AML) attacks can drastically impact the performance of ML models. It also represents a promising research field that typically promotes novel techniques to generate and/or defend against Adversarial Examples (AE) attacks.
362
29 May 2023
Topic Review
Distance Vector Hop-Based Secure and Robust Localization Algorithm
Location information of sensor nodes in a wireless sensor network is important. The sensor nodes are usually required to ascertain their positions so that the data collected by these nodes can be labeled with this information. On the other hand, certain attacks on wireless sensor networks lead to the incorrect estimation of sensor node positions. In such situations, when the location information is not correct, the data may be labeled with wrong location information that may subvert the desired operation of the wireless sensor network.
281
29 May 2023
Topic Review
Internet-of-Things-Based Smart Monitoring System
With technological advancements, smart health monitoring systems are gaining growing importance and popularity. Today, business trends are changing from physical infrastructure to online services. With the restrictions imposed during COVID-19, medical services have been changed. The concepts of smart homes, smart appliances, and smart medical systems have gained popularity. The Internet of Things (IoT) has revolutionized communication and data collection by incorporating smart sensors for data collection from diverse sources.
590
29 May 2023
Topic Review
A Machine Learning-Based Sustainable University Field Training Framework
The proposed sustainable University Field Training (SUNFIT) is an educational data mining framework based on the pedagogical strategies of preparing, conducting, and assessing computing students’ skills in courses involving practical industry engagement.
384
29 May 2023
Topic Review
Underwater Communication Protocols
Underwater Wireless Sensor Networks (UWSNs) have recently established themselves as an extremely interesting area of research thanks to the mysterious qualities of the ocean. The UWSN consists of sensor nodes and vehicles working to collect data and complete tasks. The battery capacity of sensor nodes is quite limited, which means that the UWSN network needs to be as efficient as it can possibly be. It is difficult to connect with or update a communication that is taking place underwater due to the high latency in propagation, the dynamic nature of the network, and the likelihood of introducing errors. This makes it difficult to communicate with or update a communication.
947
29 May 2023
Topic Review
Robot Localization Methods
Robots are starting to be used on construction sites to perform various tasks. Robots utilizing only geometric information for localization within a construction site may not be able to localize correctly due to the fact the ongoing site does not resemble yet the architectural plans. Semantic information can help improve the localization but still can suffer inaccuracies due to large deviation of the robot pose estimate from its actual estimate and similar semantic information in case of repetitive environments.
345
29 May 2023
Topic Review
Spatio-Temporal Hybrid Neural Network
The prediction of crowd flow in key urban areas is an important basis for city informatization development and management. Timely understanding of crowd flow trends can provide cities with data support in epidemic prevention, public security management, and other aspects. The model uses the Node2Vec graph embedding algorithm combined with LSTM (NDV-LSTM) to predict crowd flow.
273
26 May 2023
Topic Review
Development of a Smart Signalization for Emergency Vehicles
As the population increases, the number of motorized vehicles on the roads also increases. As the number of vehicles increases, traffic congestion occurs. Traffic lights are used at road junctions, intersections, pedestrian crossings, and other places where traffic needs to be controlled to avoid traffic chaos. Due to traffic lights installed in the city, queues of vehicles are formed on the streets for most of the day, and many problems arise because of this. One of the most important problems is that emergency vehicles, such as ambulances, fire engines, police cars, etc., cannot arrive on time despite traffic priorities. Emergency vehicles such as hospitals and police departments need to reach the scene in a very short time. Time loss is a problem that needs to be addressed, especially for emergency vehicles traveling in traffic.
335
26 May 2023
Topic Review
Digital Escape Rooms in STEM Education
The traditional lecture-based model of teaching and learning has led to the exploration of innovative approaches including digital escape rooms. Digital escape rooms offer an immersive and engaging experience that promotes critical thinking, problem-solving, and teamwork, making them a unique opportunity to address the challenges of science, technology, engineering, and math (STEM) education, which is often perceived as difficult, boring, and intimidating.
653
26 May 2023
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