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Topic Review
UNet and Conventional DL Systems for CAD
The ability of UNet-based deep learning models as shown before is very powerful in the imaging domain and can handle image noise, structure, scale, size, resolution, and further, the variability in the shapes.
  • 186
  • 22 Dec 2023
Topic Review
Dimensionality Reduction Techniques for Heart Rate Variability Analysis
Heart rate variability (HRV) has emerged as an essential non-invasive tool for understanding cardiac autonomic function over the last few decades. This can be attributed to the direct connection between the heart’s rhythm and the activity of the sympathetic and parasympathetic nervous systems. Different researchers have employed various dimensionality reduction methods to decrease the feature dimension of the HRV features.
  • 183
  • 24 Nov 2023
Topic Review
Weakly Supervised Crowd-Counting Models
Crowd-counting networks have become the mainstream method to deploy crowd-counting techniques on resource-constrained devices. Significant progress has been made in this field, with many outstanding lightweight models being proposed successively.  However, challenges like scare variation, global feature extraction, and fine-grained head annotation requirements still exist in relevant tasks, necessitating further improvement. In this research, the researchers propose a weakly-supervised hybrid lightweight crowd-counting network that integrates the initial layers of GhostNet as the backbone to efficiently extract local features and enrich intermediate features. The experimental results for accuracy and inference speed evaluation on some mainstream datasets validate the effective design principle of the model.
  • 183
  • 28 Feb 2024
Topic Review
Combining Self-Supervision with Knowledge Distillation
The current audio single-mode self-supervised classification mainly adopts a strategy based on audio spectrum reconstruction. Overall, its self-supervised approach is relatively single and cannot fully mine key semantic information in the time and frequency domains.
  • 179
  • 03 Jan 2024
Topic Review
Medthods to Enhance Internet of Things Network Security
The internet of things (IoT) has ushered in a new era of connectivity, transforming various industries by enabling faster sensor and data access. The widespread adoption of the IoT is not without challenges. Devices often grapple with limited battery lifetimes, the need to function in remote locations, and demanding transceiver operations. Among these challenges, security stands out as the most daunting.
  • 173
  • 22 Dec 2023
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.
  • 173
  • 31 Jan 2024
Topic Review
Digital Image Authentication for Security and Validation Enhancement
Digital face approaches possess currently received awesome attention because of their huge wide variety of digital audio, and visual programs. Digitized snapshots are progressively more communicated using an un-relaxed medium together with cyberspace. Consequently, defence, clinical, medical, and exceptional supervised photographs are essentially blanketed towards trying to employ it; such controls ought to damage such choices constructed totally based on those pictures.
  • 168
  • 15 Dec 2023
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.
  • 165
  • 29 Jan 2024
Topic Review
Deceptive Dark-Pattern Web Advertisements
Advertisements have become commonplace on modern websites. While ads are typically designed for visual consumption, it is unclear how they affect blind users who interact with the ads using a screen reader. Existing research studies on non-visual web interaction predominantly focus on general web browsing; the specific impact of extraneous ad content on blind users’ experience remains largely unexplored.
  • 164
  • 01 Feb 2024
Topic Review
Efficient Thorax Disease Classification by DCNN
Thorax disease is a life-threatening disease caused by bacterial infections that occur in the lungs. It could be deadly if not treated at the right time, so early diagnosis of thoracic diseases is vital. Computer vision techniques using deep learning are being used specifically for categorizing medical and natural images. As a direct result of this endeavor’s success, many academics are presently using deep convolutional neural networks (DCNNs) to diagnose thoracic illnesses based on chest radiographs. 
  • 156
  • 27 Nov 2023
Topic Review
Human Activities Recognition Based on Wrist-Worn Wearable Devices
The proposed system consists of a real-time activity recognition system based on a common wearable device: a smartwatch. The machine learning component recognizes activity based on plot images generated from raw sensor data and is exposed as a Web Application Programming Interface (API) microservice.
  • 155
  • 19 Jan 2024
Topic Review Peer Reviewed
The Metaverse Territorial Brand: A Contemporary Concept
The “Metaverse Territorial Brand” integrates core and interconnected elements into a virtual, interactional, experiential, and immersive space known as the metaverse. This type of brand encompasses the connection with immersive territories that may or may not be digital twins of real territories. It also encompasses two interconnected physical scales: the territorial and the regional, involved in another type of emerging territorial scale, known as the metaversal scale. Therefore, the “Metaverse Territorial Brand” is a digital-immersive extension of the territorial brand of physical territories, encompassing specific geographical and cultural aspects, but directed to the metaverse environment. This brand is a symbolic digital construction, but also a multifaceted one that incorporates discursive and visual elements, articulated by the social actors of the immersive territory, aiming to create a specific and distinct identity for a space in the metaverse. When talking about social actors in the metaverse (users), we highlight that this set of actors may or may not be the same as the physical territory. It is also important to highlight that both the territorial brand directed to physical territories and the “Metaverse Territorial Brand” are formed from the power relations of a given set of social actors. Therefore, without the strategic intention of a plurality of social actors that stimulate these relationships, there is no type of territorial brand involved.
  • 126
  • 29 Sep 2024
Topic Review
Disruptive Business Model for Higher Education
This research presents a disruptive business model in higher education, centered on student-customized degree programs that meet the changing demands of today’s workforce. This model leverages emerging technologies such as AI (Artificial Intelligence), ChatGPT, and Gemini to create adaptable and accessible educational pathways, allowing students to personalize their learning based on individual goals. The COVID-19 pandemic, which accelerated the shift to online and hybrid learning models, highlights the need for flexible educational models like this one that prioritize student-centered approaches and operational efficiency. This study examines both the potential benefits and the challenges of implementing such a model.
  • 37
  • 12 Nov 2024
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