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Topic Review
CovC-ReDRNet
Since the COVID-19 pandemic outbreak, over 760 million confirmed cases and over 6.8 million deaths have been reported globally, according to the World Health Organization. While the SARS-CoV-2 virus carried by COVID-19 patients can be identified though the reverse transcription–polymerase chain reaction (RT-PCR) test with high accuracy, clinical misdiagnosis between COVID-19 and pneumonia patients remains a challenge. Therefore, researchers developed a novel CovC-ReDRNet model to distinguish COVID-19 patients from pneumonia patients as well as normal cases. ResNet-18 was introduced as the backbone model and tailored for the feature representation afterward.
  • 390
  • 10 Jul 2023
Topic Review
Anonymizing Transaction Data with Set Values
The definition of anonymity emphasizes the fact that the attacker can identify a person based on some of the sensitive set values about which the attacker has prior knowledge of in the set value data.
  • 390
  • 26 Jul 2023
Topic Review
The Principles of Blockchain Technology in Healthcare
A blockchain may be seen as a distributed ledger that allows peers to exchange data. It was launched with Bitcoin and resolved a persistent issue: the double-spend problem. With Bitcoin, this is accomplished by a majority consensus of so-called mining nodes and the addition of legitimate transactions to the blockchain. Bitcoin was the first to use blockchain technology. Therefore, introducing a coin is not required to utilize blockchain and develop decentralized apps. 
  • 390
  • 26 Jul 2023
Topic Review
Distributed and Localisation System for Crude Oil Pipelines
Crude oil leakages and spills (OLS) are some of the problems attributed to pipeline failures in the oil and gas industry’s midstream sector. Consequently, they are monitored via several leakage detection and localisation techniques (LDTs) comprising classical methods and, recently, Internet of Things (IoT)-based systems via wireless sensor networks (WSNs).
  • 389
  • 17 May 2023
Topic Review
Grammar Correction for Multiple Errors in Chinese
Grammar Error Correction (GEC) is a key task in the field of Natural Language Processing (NLP). Its purpose is to automatically detect and correct grammatical errors in sentences, and it holds immense research value. The mainstream methods for grammar correction primarily rely on sequence tagging and text generation, which are two end-to-end approaches. These methods demonstrate exemplary performance in domains with low error density, but often fail to provide satisfactory results in high error density situations where multiple errors exist in a single sentence. As a result, these methods tend to over-correct correct words, leading to a high false alarm rate.
  • 389
  • 24 Aug 2023
Topic Review
Technique for Searching Data
The growing popularity of data outsourcing to third-party cloud servers has a downside, related to the serious concerns of data owners about their security due to possible leakage. The desire to reduce the risk of loss of data confidentiality has become a motivating start to developing mechanisms that provide the ability to effectively use encryption to protect data. However, the use of traditional encryption methods faces a problem. Namely, traditional encryption, by making it impossible for insiders and outsiders to access data without knowing the keys, excludes the possibility of searching. 
  • 389
  • 14 Nov 2023
Topic Review
On-Boarding Process for Distributed Analysis
The constant upward movement of data-driven medicine as a valuable option to enhance daily clinical practice has brought new challenges for data analysts to get access to valuable but sensitive data due to privacy considerations. One solution for most of these challenges are Distributed Analytics (DA) infrastructures, which are technologies fostering collaborations between healthcare institutions by establishing a privacy-preserving network for data sharing. However, in order to participate in such a network, a lot of technical and administrative prerequisites have to be made, which could pose bottlenecks and new obstacles for non-technical personnel during their deployment. Three major problems in the current state-of-the-art have been identified. Namely, the missing compliance with FAIR data principles, the automation of processes, and the installation. 
  • 388
  • 20 Jun 2022
Topic Review
Automation of Competency-Based E-Learning Systems
In today’s learning environment, e-learning systems are becoming a necessity. A competency-based student portfolio system is also gaining popularity. Due to the variety of e-learning systems and the increasing mobility of students between different learning institutions or e-learning systems, a higher level of automated competency portfolio integration is required.
  • 388
  • 27 Dec 2022
Topic Review
Accurate Measurement of Urban Environments
In the field of urban environment analysis research, image segmentation technology that groups important objects in the urban landscape image in pixel units has been the subject of increased attention.
  • 388
  • 10 Nov 2023
Topic Review
Full-Reference Image Quality Assessment
To improve data transmission efficiency, image compression is a commonly used method with the disadvantage of accompanying image distortion. There are many image restoration (IR) algorithms, and one of the most advanced algorithms is the generative adversarial network (GAN)-based method with a high correlation to the human visual system (HVS). Having a metric to quantify the image quality to the HVS is always a tough task. Image quality assessment (IQA) can be subjective or objective.
  • 388
  • 09 Jan 2024
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