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Topic Review
WSN-IoT
The Wireless Sensor Network in the Internet of Things (WSN-IoT) has been flourishing as another global breakthrough over the past. The WSN-IoT is reforming the way we live today by spreading through all areas of life, including the dangerous demographic aging crisis and the subsequent decline of jobs. For a company to increase revenues and cost-effectiveness growth should be customer-centered and agile within an organization. WSN-IoT networks have simultaneously faced threats, such as sniffing, spoofing, and intruders. However, WSN-IoT networks are often made up of multiple embedded devices (sensors and actuators) with limited resources that are joined via various connections in a low-power and lossy manner.
  • 459
  • 11 Apr 2023
Topic Review
Methods for Melanoma and Nonmelanoma Skin Cancers Classification
Skin cancer is considered a dangerous type of cancer with a high global mortality rate. Manual skin cancer diagnosis is a challenging and time-consuming method due to the complexity of the disease. In the field of transfer learning and federated learning, there are several new algorithms and techniques for classifying melanoma and nonmelanoma skin cancer.
  • 459
  • 19 Oct 2023
Topic Review
An Overview of the Fundamental Vaccine Safety Concepts
The rapid development of effective vaccines against COVID-19 is an extraordinary achievement. However, no medical product can ever be considered risk-free. Several countries have a pharmacovigilance system that detects, assesses, understands, and prevents possible adverse effects of a drug. To benefit from such huge data sources, specialists and researchers need advanced big data analysis tools able to extract value and find valuable insights
  • 458
  • 06 Sep 2022
Topic Review
Cancer Metastasis Detection via Effective Contrastive Learning
The metastasis detection in lymph nodes via microscopic examination of H&E stained histopathological images is one of the most crucial diagnostic procedures for breast cancer staging. The manual analysis is extremely labor-intensive and time-consuming because of complexities and diversities of histopathological images. Deep learning has been utilized in automatic cancer metastasis detection in recent years. The success of supervised deep learning is credited to a large labeled dataset, which is hard to obtain in medical image analysis. Contrastive learning, a branch of self-supervised learning, can help in this aspect through introducing an advanced strategy to learn discriminative feature representations from unlabeled images.
  • 458
  • 13 Sep 2022
Topic Review
Overview of Proposed LoRaWAN Security Model
Long-Range Wide-Area Network (LoRaWAN) is a popular Medium Access Control (MAC) protocol that has several benefits such as wide-area coverage, long-range communication, low deployment cost, and low energy consumption. LoRaWAN is deployed on top of the Long-Range (LoRa) protocol, which is a physical layer protocol. Interoperability and cross-cooperation can be experienced by the communicating entities in IoT-based LoRaWAN applications with less complex implementations.
  • 458
  • 20 Sep 2022
Topic Review
Human-Computer Interaction Institute
The Human-Computer Interaction Institute (HCII) is a department within the School of Computer Science at Carnegie Mellon University (CMU) in Pittsburgh, Pennsylvania. It is considered one of the leading centers of human-computer interaction research, and was named one of the top ten most innovative schools in information technology by Computer World in 2008. For the past three decades, the institute has been the predominant publishing force at leading HCI venues, most notably ACM CHI, where it regularly contributes more than 10% of the papers. Research at the institute aims to understand and create technology that harmonizes with and improves human capabilities by integrating aspects of computer science, design, social science, and learning science. Depending on the selected coursework that the student decides to take (in addition to some core classes), they are able to form a schedule specific to the field they are interested in. For example, if a student is specifically interested in pursuing a user experience design profession, they are able to choose courses that focus mainly on the design process behind applications. If the student is interested in product management or project management, they can select electives that encourage group work and cross-collaboration across majors so that they may learn some of the tasks of these professions. A list of courses and course descriptions is included below. HCII offers an HCI major for undergraduates, as well a master's degree and a PhD in HCI. Students from various academic backgrounds come together from around the world to participate in these programs. Students enter the program at various stages in their academic and professional careers, with various levels of experience. HCII research and educational programs span a full cycle of value creation. The cycle includes research on how people work, play, and communicate within groups, organizations, and social structures. It includes the design, creation, and evaluation of technologies and tools to support human and social activities.
  • 458
  • 29 Sep 2022
Topic Review
Online Petition
An online petition (or Internet petition, or e-petition) is a form of petition which is signed online, usually through a form on a website. Visitors to the online petition sign the petition by adding their details such as name and email address. Typically, after there are enough signatories, the resulting letter may be delivered to the subject of the petition, usually via e-mail. The online petition may also deliver an email to the target of the petition each time the petition is signed.
  • 458
  • 31 Oct 2022
Topic Review
Automedian Triangle
In plane geometry, an automedian triangle is a triangle in which the lengths of the three medians (the line segments connecting each vertex to the midpoint of the opposite side) are proportional to the lengths of the three sides, in a different order. The three medians of an automedian triangle may be translated to form the sides of a second triangle that is similar to the first one.
  • 458
  • 17 Nov 2022
Topic Review
XR, Vision Impairments and Empathy
Across the world, an increasing number of people experience vision impairments or blindness. For people with healthy eyes, it may be difficult to discern how the world looks to a person with impaired eyesight. Medical explanations in books and articles, descriptions from patients, and 2D images of impaired vision are often insufficient to communicate the negative effects of vision impairments and to truly make someone understand how the world looks through the eyes of a visually impaired person. Relatives, employers, and even the medical providers of those impacted by eye diseases may benefit from simulations of vision impairments, to increase understanding, sympathy, and empathy. Research on digital vision-impairment simulations has increased. With the rise of emerging technologies such as extended reality (XR), simulations can now be made more realistic and immersive than ever before. This document provides a comprehensive overview of the state-of-the-art in simulating vision impairments using a variety of hardware and software solutions that address different conditions and impairments. It also discusses the role of XR solutions in increasing sympathy and empathy for people with vision impairments.
  • 458
  • 15 Nov 2023
Topic Review
Digital Face Manipulation Creation and Detection
Deepfake refers to the sophisticated manipulation of audiovisual content using deep learning techniques, particularly generative adversarial networks (GANs). It enables the creation of hyper-realistic fake videos or images by seamlessly superimposing one person's face or voice onto another's. These manipulated media raise significant concerns about misinformation, privacy invasion, and the potential to deceive audiences. Deepfakes have sparked discussions about the ethical implications of digital media manipulation and the challenges of distinguishing between genuine and fabricated content in the digital age. Efforts to counter deepfake technology involve developing advanced detection methods and raising awareness about the prevalence of manipulated media.
  • 458
  • 25 Aug 2023
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