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Topic Review
Quantum Natural Language Processing
Quantum Natural Language Processing (QNLP) is a hybrid field that combines aspects derived from Quantum Computing (QC) with tasks of Natural Language Processing (NLP).
  • 797
  • 14 Jun 2022
Topic Review
6G Cellular Networks
There are continued advances in the internet and communication fields regarding the deployment of 5G-based applications. It is expected that by 2030, 6G applications will emerge as a continued evolution of the mobile network. Blockchain technology is one of the leading supporting technologies predicted to provide a secure and unique network to 6G-enabled devices, transactions, and applications. It is anticipated that the 6G mobile networks will be virtualized, have cloud-based systems, and aim to be the foundation for the Internet of Everything.
  • 1.1K
  • 13 Jun 2022
Topic Review
Reasoning Algorithms on Feature Modeling
Software product lines (SPLs) have reached a considerable level of adoption in the software industry. The most commonly used models for managing the variability of SPLs are feature models (FMs). The analysis of FMs is an error-prone, tedious task, and it is not feasible to accomplish this task manually with large-scale FMs.
  • 502
  • 13 Jun 2022
Topic Review
3D Point Cloud Classification
Three-dimensional (3D) point cloud classification methods based on deep learning have good classification performance. The 3D point cloud is mainly collected by light detection and ranging (LiDAR) scanner, red, green, blue, and depth (RGB-D) camera, and other sensor equipment or obtained by model conversion using computer software.
  • 1.7K
  • 10 Jun 2022
Topic Review
Business Recommender Systems
Besides the typical applications of recommender systems in B2C scenarios such as movie or shopping platforms, there is a rising interest in transforming the human-driven advice provided, e.g., in consultancy via the use of recommender systems. There are two main classes of recommender systems: information-filtering-based and knowledge-based systems. The former category selects items from a large collection of items based on user preferences and is further classified as collaborative-filtering recommenders and content-based filtering recommenders. The knowledge-based recommenders make recommendations by applying constraints or similarities based on domain or contextual knowledge. Common applications are in B2C scenarios such as e-commerce, tourism, news, movie, music, etc.
  • 787
  • 10 Jun 2022
Topic Review
AI-Based Prediction of Dementia
Dementia, the most severe expression of cognitive impairment, is among the main causes of disability in older adults and currently effects over 55 million individuals. Dementia prevention is a global public health priority, and recent ones have shown that dementia risk can be reduced through non-pharmacological interventions targeting different lifestyle areas. The FINnish GERiatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) has shown a positive effect on cognition in older adults at risk of dementia, through a 2-year multidomain intervention targeting lifestyle and vascular risk factors. The LETHE project builds on these findings and will provide a digital-enabled FINGER intervention model for delaying or preventing the onset of cognitive decline. An individualised ICT-based multidomain, preventive lifestyle intervention program will be implemented utilising behaviour and intervention data through passive and active data collection. Artificial intelligence and machine learning methods will be used for data-driven risk factor prediction models. An initial model based large multinational datasets will be validated and integrated in a 18-month trial integrating digital biomarkers, to further improve the model. Furthermore, the LETHE project will investigate the concept of federated learning to, on the one hand, protect the privacy of the health and behaviour data, and, on the other hand, to provide the opportunity to enhance the data model easily by integrating additional clinical centres.
  • 385
  • 10 Jun 2022
Topic Review
Statistical Methods for Food Composition Database Analysis
A food composition database (FCDB) or nutrient database is a compilation of the chemical composition of food and beverage items, obtained from chemical analyses, estimations from published literature, or unpublished laboratory reports. A summary of the statistical methods that have been directly applied to food composition databases and datasets is described here.
  • 1.3K
  • 08 Jun 2022
Topic Review
IoT Blockchain-based Applications Classification According to Performance Requirements
A Distributed Ledger Technology (DLT) is a decentralized log of records, the ledger, managed by multiple, usually autonomous, participants (also called users or subjects), across multiple nodes. A blockchain is a type of DLT where transactions are recorded according to an immutable order obtained by means of cryptographic hash functions that chain the blocks in which transactions are recorded. Since DLT gained attention through the diffusion of the blockchain, it is common practice to use the term blockchain even when talking about other types of DLT.
  • 480
  • 08 Jun 2022
Topic Review
Radar Depth and Velocity Estimation
Radar can measure range and Doppler velocity, but both of them cannot be directly used for downstream tasks. The range measurements are sparse and therefore difficult to associate with their visual correspondences. The Doppler velocity is measured in the radial axis and, therefore, cannot be directly used for tracking.
  • 1.0K
  • 08 Jun 2022
Topic Review
Sensor Fusion for Radar Detection
Sensor fusion can be considered as the mapping of different modalities into a common latent space where different features of the same object can be associated together. Sensor fusion frameworks are classified into four categories: input fusion, ROI fusion, feature map fusion, and decision fusion.
  • 1.5K
  • 08 Jun 2022
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