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Topic Review
Biography
Topic Review
Resilience Optimization of Post-Quantum Cryptography Key Encapsulation Algorithms
The developments in quantum computing have shed light on the shortcomings of the conventional public cryptosystem. Even while Shor’s algorithm cannot yet be implemented on quantum computers, it indicates that asymmetric key encryption will not be practicable or secure in the near future. The National Institute of Standards and Technology (NIST) has started looking for a post-quantum encryption algorithm that is resistant to the development of future quantum computers as a response to this security concern.
258
21 Aug 2023
Topic Review
Resilience in the Cyberworld
Resilience is a feature that is gaining more and more attention in computer science and computer engineering. However, the definition of resilience for the cyber landscape, especially embedded systems, is not yet clear.
656
25 Nov 2021
Topic Review
Resampling under Complex Sampling Designs
In principle, survey data are an ideal context to apply resampling methods to approximate the (unknown) sampling distribution of statistics, due to both a usually large sample size and data of controlled quality. However, survey data cannot be generally assumed independent and identically distributed (i.i.d.) so that any resampling methodologies to be used in sampling from finite populations must be adapted to account for the sample design effect. A principled appraisal is given and discussed here.
475
31 Mar 2022
Topic Review
Requirements of Edge Machine Learning
The union of Edge Computing (EC) and Artificial Intelligence (AI) has brought forward the Edge AI concept to provide intelligent solutions close to the end-user environment, for privacy preservation, low latency to real-time performance, and resource optimization.
190
27 Sep 2023
Topic Review
Requirements of Compression in Key-Value Stores
A key–value store is a de facto standard database for unstructured big data. Key–value stores, such as Google’s LevelDB and Meta’s RocksDB, have emerged as a popular solution for managing unstructured data due to their ability to handle diverse data types with a simple key–value abstraction. Simultaneously, a multitude of data management tools have actively adopted compression techniques, such as Snappy and Zstd, to effectively reduce data volume.
461
27 Oct 2023
Topic Review
Requirements for Trustworthy AI
Artificial Intelligence (AI) can be very beneficial in the criminal justice system for predicting the risk of recidivism. AI provides unrivalled high computing power, speed, and accuracy; all harnessed to strengthen the efficiency in predicting convicted individuals who may be on the verge of recommitting a crime. The application of AI models for predicting recidivism has brought positive effects by minimizing the possible re-occurrence of crime. However, the question remains of whether criminal justice system stakeholders can trust AI systems regarding fairness, transparency, privacy and data protection, consistency, societal well-being, and accountability when predicting convicted individuals’ possible risk of recidivism. These are all requirements for a trustworthy AI.
226
02 Aug 2023
Topic Review
Requirements Engineering in OTF-Computing
The idea of On-The-Fly (OTF) Computing is to compose and provide software services ad hoc, based on requirement descriptions in natural language. Since non-technical users write their software requirements themselves and in unrestricted natural language, deficits occur such as inaccuracy and incompleteness. These deficits are usually tackled by natural language processing methods, which have to face specific challenges in OTF Computing because maximum automation is the goal there. In the following, we present current automatic approaches for solving inaccuracies and incompleteness in natural language requirement descriptions.
2.0K
30 Oct 2020
Topic Review
Representation Learning for Electronic Health Records
An electronic health record (EHR) is a vital high-dimensional part of medical concepts. Discovering implicit correlations in the information of this data set and the research and informative aspects can improve the treatment and management process. The challenge of concern is the data sources’ limitations in finding a stable model to relate medical concepts and use these existing connections.
304
04 Aug 2023
Topic Review
Remote Sensing Object Detection
Remote sensing image object detection holds signifificant research value in resources and the environment. Nevertheless, complex background information and considerable size differences between objects in remote sensing images make it challenging.
352
04 Sep 2023
Topic Review
Remote Sensing Applications in Almond Orchards
Almond cultivation is of great socio-economic importance worldwide. With the demand for almonds steadily increasing due to their nutritional value and versatility, optimizing the management of almond orchards becomes crucial to promote sustainable agriculture and ensure food security.
140
29 Feb 2024
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