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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.
  • 133
  • 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.
  • 289
  • 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.
  • 105
  • 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.
  • 101
  • 29 Jan 2024
Topic Review
Geospatial Data-Driven Approaches for Sustainable Smart Cities
The concept of smart cities has become increasingly important in the pursuit of sustainable development goals. In general, common urban challenges have been addressed through smart-city services, and new perspectives for more sustainable cities have emerged. To realise the full potential of such smart urban environments, geospatial approaches have been used as a focal point, offering a plethora of applications that contribute to a better understanding of urban challenges and innovation potentials.
  • 394
  • 29 Jan 2024
Topic Review
Cross-Layer Methods for Ad Hoc Networks
The Open systems interconnection (OSI)model used to be a common network model for years. In the case of ad hoc networks with dynamic topology and difficult radio communications conditions, gradual departure is happening from the classical kind of OSI network model with a clear delineation of layers (physical, channel, network, transport, application) to the cross-layer approach. The layers of the network model in ad hoc networks strongly influence each other. Thus, the cross-layer approach can improve the performance of an ad hoc network by jointly developing protocols using interaction and collaborative optimization of multiple layers. The existing cross-layer methods classification is too complicated because it is based on the whole manifold of network model layer combinations, regardless of their importance.
  • 220
  • 29 Jan 2024
Topic Review
Spatial and Temporal Hierarchy for Autonomous Navigation
Robust evidence suggests that humans explore their environment using a combination of topological landmarks and coarse-grained path integration. This approach relies on identifiable environmental features (topological landmarks) in tandem with estimations of distance and direction (coarse-grained path integration) to construct cognitive maps of the surroundings. This cognitive map is believed to exhibit a hierarchical structure, allowing efficient planning when solving complex navigation tasks.
  • 407
  • 29 Jan 2024
Topic Review
Threshold-Optimized Depth-Based Routing Protocol
The exponentially growing concern of cyber-attacks on extremely dense underwater sensor networks (UWSNs) and the evolution of UWSNs digital threat landscape has brought novel research challenges and issues. 
  • 343
  • 29 Jan 2024
Topic Review
Industrial IoT Network Infrastructure
The Internet of Things (IoT) is an innovative technology that presents effective and attractive solutions to revolutionize various domains. Numerous solutions based on the IoT have been designed to automate industries, manufacturing units, and production houses to mitigate human involvement in hazardous operations. The industrial IoT (IIoT) network infrastructure is the backbone of the IoT for industries, and helps to connect many sensory, physical, and network devices to improve product quality and the manufacturing process, thereby playing an important part in the growth of IIoT. The infrastructure in IoT-enabled industrial network architecture comprises the industrial network platform, the network topology, and protocols.
  • 210
  • 29 Jan 2024
Topic Review
Insulator Defect Detection
Insulators, as important components of high-voltage transmission lines, serve the functions of electrical separation and support for conductors. Due to their long-term outdoor exposure to sunlight, rain, climate changes, and chemical corrosion, insulators often suffer from self-exploding defects, causing the disconnection of insulator strings and interfering with their performance, thus affecting the safety and stability of power systems. Insulator detection methods are generally divided into two types. The first is manual inspection, where workers directly observe insulators to identify defective parts. However, this method is time-consuming and not safe. The second is intelligent inspection, which can effectively locate defective parts by carrying edge detection equipment on drones for regular inspection of insulators. This is also the current mainstream inspection method.
  • 165
  • 26 Jan 2024
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