Concurrent validity and reliability of cephalometric analysis using smartphone apps and computer software. [PDF]
Angle Orthod, 2019 OBJECTIVES To assess the diagnostic accuracy of two smartphone cephalometric analysis apps compared with Viewbox software. MATERIALS AND METHODS Pretreatment digital lateral cephalograms of 50 consecutive orthodontic patients (20 males, 30 females ...
Livas C +4 more
europepmc +2 more sources
Designing of a Computer Software for Detection of Approximal Caries in Posterior Teeth. [PDF]
Iran J Radiol, 2015 Background: Radiographs, adjunct to clinical examination are always valuable complementary methods for dental caries detection. Recently, progressing in digital imaging system provides possibility of software designing for automatically dental caries ...
Valizadeh S +5 more
europepmc +2 more sources
Development of innovative computer software to facilitate the setup and computation of water quality index. [PDF]
J Environ Health Sci Eng, 2013 BackgroundDeveloping a water quality index which is used to convert the water quality dataset into a single number is the most important task of most water quality monitoring programmes.
Nabizadeh R +5 more
europepmc +2 more sources
Computers—The software situation [PDF]
Proceedings of the National Academy of Sciences, 1980 Jacob T. Schwartz
openaire +5 more sources
Calculation of ring-type water networks using computer software [PDF]
Journal on Processing and Energy in Agriculture, 2017 There are two types of water supply networks, branched and looped (ring-type). Looped water supply network consists of a number of closed loops (rings) surrounding the consumers while supplying them with water through sections.
Mitrevska Cvetanka +3 more
doaj +1 more source
A focused crawler based on semantic disambiguation vector space model
Complex & Intelligent Systems, 2022 The focused crawler grabs continuously web pages related to the given topic according to priorities of unvisited hyperlinks. In many previous studies, the focused crawlers predict priorities of unvisited hyperlinks based on the text similarity models ...
Wenjun Liu +8 more
doaj +1 more source
An Anomaly Detection Algorithm Based on Ensemble Learning for 5G Environment
Sensors, 2022 With the advent of the digital information age, new data services such as virtual reality, industrial Internet, and cloud computing have proliferated in recent years.
Lifeng Lei +4 more
doaj +1 more source
A Deep Neural Network-Based Approach for Sentiment Analysis of Movie Reviews
Complexity, 2022 The number of comments/reviews for movies is enormous and cannot be processed manually. Therefore, machine learning techniques are used to efficiently process the user’s opinion.
Kifayat Ullah +5 more
doaj +1 more source
Improving Domain-Generalized Few-Shot Text Classification with Multi-Level Distributional Signatures
Applied Sciences, 2023 Domain-generalized few-shot text classification (DG-FSTC) is a new setting for few-shot text classification (FSTC). In DG-FSTC, the model is meta-trained on a multi-domain dataset, and meta-tested on unseen datasets with different domains.
Xuyang Wang +8 more
doaj +1 more source
DMPNet: densely connected multi-scale pyramid networks for crowd counting [PDF]
PeerJ Computer Science, 2022 Crowd counting has been widely studied by deep learning in recent years. However, due to scale variation caused by perspective distortion, crowd counting is still a challenging task.
Pengfei Li +3 more
doaj +2 more sources