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Topic Review
Source Camera Identification Techniques
The successful investigation and prosecution of significant crimes, including child pornography, insurance fraud, movie piracy, traffic monitoring, and scientific fraud, hinge largely on the availability of solid evidence to establish the case beyond any reasonable doubt. When dealing with digital images/videos as evidence in such investigations, there is a critical need to conclusively prove the source camera/device of the questioned image. 
  • 152
  • 31 Jan 2024
Topic Review
Health Transport Demand
Efficient planning and management of health transport services are crucial for improving accessibility and enhancing the quality of healthcare. Specifically, health transport services data from Asturias, spanning a seven-year period, are analyzed with the aim of developing accurate predictive models.
  • 100
  • 31 Jan 2024
Topic Review
Taxonomic Exploration of Healthcare IoT
An Internet of things (IoT) ecosystem is a fast-developing network in which users can connect a heterogeneity of physical and virtual devices, including customized healthcare areas. As medical resources are scarce, populations are aging with chronic diseases and require remote monitoring, medical expenses are rising, and telemedicine is being demanded in developing nations, the IoT is an attractive topic in healthcare. Through the IoT, people can enjoy better health and diminish pressure on sanitary systems.
  • 154
  • 30 Jan 2024
Topic Review
Intrusion Detection and Datasets
With the significant increase in cyber-attacks and attempts to gain unauthorised access to systems and information, Network Intrusion-Detection Systems (NIDSs) have become essential detection tools. Anomaly-based systems use machine learning techniques to distinguish between normal and anomalous traffic. They do this by using training datasets that have been previously gathered and labelled, allowing them to learn to detect anomalies in future data. However, such datasets can be accidentally or deliberately contaminated, compromising the performance of NIDS.
  • 135
  • 30 Jan 2024
Topic Review
Network Incident Identification through Genetic Algorithm-Driven Feature Selection
The cybersecurity landscape presents daunting challenges, particularly in the face of Denial of Service (DoS) attacks such as DoS Http Unbearable Load King (HULK) attacks and DoS GoldenEye attacks. These malicious tactics are designed to disrupt critical services by overwhelming web servers with malicious requests.
  • 124
  • 30 Jan 2024
Topic Review
Advancing Glaucoma Care
Glaucoma, the leading cause of irreversible blindness worldwide, comprises a group of progressive optic neuropathies requiring early detection and lifelong treatment to preserve vision. Artificial intelligence (AI) technologies are now demonstrating transformative potential across the spectrum of clinical glaucoma care.
  • 112
  • 30 Jan 2024
Topic Review
Trustworthy Artificial Intelligence
Artificial Intelligence is an indispensable element of the modern world, constantly evolving and contributing to the emergence of new technologies. Artificial Intelligence techniques must inspire users’ trust because they significantly impact virtually every industry and person. For this reason, systems using Artificial Intelligence are subject to many requirements to verify their trustworthiness in various aspects.
  • 113
  • 30 Jan 2024
Topic Review
Short Text Event Coreference Resolution
Event coreference resolution is the task of clustering event mentions that refer to the same entity or situation in text and performing operations like linking, information completion, and validation. Existing methods model this task as a text similarity problem, focusing solely on semantic information, neglecting key features like event trigger words and subject.
  • 103
  • 30 Jan 2024
Topic Review
Application of Machine Learning in Arrhythmia Association
Cardiac arrhythmias, characterized by deviations from the normal rhythmic contractions of the heart, pose a formidable diagnostic challenge. Early and accurate detection remains an integral component of effective diagnosis, informing critical decisions made by cardiologists. The application of machine learning (ML) for electrocardiogram (ECG) data analysis holds significant promise in the development of prognostic and diagnostic computer-assisted diagnosis (CAD) systems. ECG CAD systems can serve as a valuable tool for medical professionals, facilitating objective diagnosis. The association between different ECG records can be established through supervised, semi-supervised, or unsupervised ML approaches.
  • 89
  • 29 Jan 2024
Topic Review
Unmanned Aerial Vehicle Search Target Recognition Techniques
The traditional method of finding missing people involves deploying fixed cameras in some hotspots to capture images and using humans to identify targets from these images. However, in this approach, high costs are incurred in deploying sufficient cameras in order to avoid blind spots, and a great deal of time and human effort is wasted in identifying possible targets. Further, most AI-based search systems focus on how to improve the human body recognition model, without considering how to speed up the search in order to shorten the search time and improve search efficiency. As the technology of the unmanned aerial vehicle (UAV) has seen significant progress, a number of applications have been proposed for it due to its unique characteristics, such as higher mobility and more flexible integration with different equipment, such as sensors and cameras, etc.
  • 93
  • 29 Jan 2024
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