Comparison of the accuracy of Robotic arm and Dynamic Navigation in the placement of mandibular dental implants: An in-vitro study

Bander N. Al-Meshary; Mohammed Al-Jarsha; Kurt B Naudi; Ashraf F. Ayoub

doi:10.1016/j.jdent.2026.106527

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Publication Date

Wed Apr 01 2026

Journal Name

Journal Of Dentistry

Volume

167

DOI

10.1016/j.jdent.2026.106527

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Comparison of the accuracy of Robotic arm and Dynamic Navigation in the placement of mandibular dental implants: An in-vitro study

Dental implants

Dynamic navigation

Robotic surgery

Computer-assisted implantology

Edentulous mandible

Oral surgery

Bander N. Al-Meshary

Mohammed Al-Jarsha

Kurt B Naudi

Ashraf F. Ayoub

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Publication Date

Mon Jun 05 2023

Journal Name

Journal Of Engineering

Isolated Word Speech Recognition Using Mixed Transform

Mixed Transform

Radon Transform

Discrete Wavelet Transform

Discrete Multicircularlet Transform

Dynamic Time Warping

Sadiq Jassim

Shahad Mujeeb

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Methods of speech recognition have been the subject of several studies over the past decade. Speech recognition has been one of the most exciting areas of the signal processing. Mixed transform is a useful tool for speech signal processing; it is developed for its abilities of improvement in feature extraction. Speech recognition includes three important stages, preprocessing, feature extraction, and classification. Recognition accuracy is so affected by the features extraction stage; therefore different models of mixed transform for feature extraction were proposed. The properties of the recorded isolated word will be 1-D, which achieve the conversion of each 1-D word into a 2-D form. The second step of the word recognizer requires, the

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Publication Date

Fri Apr 15 2016

Journal Name

International Journal Of Computer Applications

Hybrid Techniques based Speech Recognition

Hybrid techniques

speech recognition

multi-wavelet transform

wavelet transform

stationary wavelet transform

feature extraction

dynamic time warping.

Ahlam

Zainab

Tariq

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Information processing has an important application which is speech recognition. In this paper, a two hybrid techniques have been presented. The first one is a 3-level hybrid of Stationary Wavelet Transform (S) and Discrete Wavelet Transform (W) and the second one is a 3-level hybrid of Discrete Wavelet Transform (W) and Multi-wavelet Transforms (M). To choose the best 3-level hybrid in each technique, a comparison according to five factors has been implemented and the best results are WWS, WWW, and MWM. Speech recognition is performed on WWS, WWW, and MWM using Euclidean distance (Ecl) and Dynamic Time Warping (DTW). The match performance is (98%) using DTW in MWM, while in the WWS and WWW are (74%) and (78%) respectively, but when using (

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