MECHANICS OF COMPOSITE PLATE STRUCTURE REINFORCED WITH HYBRID NANO MATERIALS USING ARTIFICIAL NEURAL NETWORK
(1)
Publication Date
Sun Jan 01 2023
Journal Name
Aip Conference Proceedings
(7)
(3)
Publication Date
Wed Mar 07 2018
Journal Name
Liquid Crystals
(34)
(33)
Publication Date
Sun Mar 25 2018
Journal Name
Biomedical And Pharmacology Journal
(9)
Publication Date
Tue Jan 01 2019
Journal Name
Energy Procedia
(23)
(20)
Publication Date
Sat Dec 04 2021
Journal Name
Transportation Research Record: Journal Of The Transportation Research Board
Gradation Effects on Strength and Deformation Properties of High-Quality Crushed Rock Base Materials
The importance of specifying proper aggregate grading for achieving satisfactory performance in pavement applications has long been recognized. To improve the specifications for superior performance, there is a need to understand how differences in aggregate gradations within the acceptable limits may affect unbound aggregate base behavior. The effects of gradation on strength, modulus, and deformation characteristics of high-quality crushed rock base materials are described here. Two crushed rock types commonly used in constructing heavy-duty granular base layers in the State of Victoria, Australia, with three different gradations each were used in this study. The gradations used represent the lower, medium, and upper gradation li
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(5)
(4)
Publication Date
Wed Jun 01 2022
Journal Name
Journal Of Engineering
Evaluating the Moisture Content Variation on Critical Strain of Geo-materials: A Case Study
The tunnel’s stability during construction is a very important matter. Some methods have been proposed for stability evaluation, but the hazard warning levels (HWLs) are more applicable among these methods. Despite monitoring and applying HWLs, several collapses in Shibli twin tunnels in Iran have cast doubts on the accuracy of this criterion in the presence of water. In this study, the critical strains under different water contents were measured through uniaxial compressive strength tests on 11 different shale and marl samples. A comparison of laboratory tests and numerical results shows that the influence of the moisture content on the critical strain is negligible. In addition, the results show that there is no dir
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(2)
(1)
Publication Date
Mon Jun 15 2026
Journal Name
Journal Of Baghdad College Of Dentistry
The role of knowledge and practice in orthodontists' attitudes towards bonding materials and techniques
Orthodontic bonding
orthodontic adhesives
Orthodontists’ attitudes
Orthodontists’ knowledge
Orthodontists’ skill
Background: The materials and techniques of orthodontic bonding systems remain a pivotal concern in orthodontic research. This issue is further complicated by orthodontists' preferences. To assess the effect of knowledge and practice on the attitudes of orthodontists towards bonding materials and techniques. Methods: A cross-sectional, questionnaire-based study was conducted using Google Forms. The questionnaire comprised 17 multiple-choice questions that targeted orthodontists' awareness, knowledge, and attitude towards bonding materials. It was distributed via email or social networking platforms to specialist Iraqi orthodontists. Results: A total of 176 participants responded with nearly equal representation between the sexes. Th
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Publication Date
Mon Oct 05 2020
Journal Name
International Journal Of Advanced Science And Technology
Improved Merging Multi Convolutional Neural Networks Framework of Image Indexing and Retrieval
Improved Merging Multi Convolutional Neural Networks Framework of Image Indexing and Retrieval
Publication Date
Fri May 01 2020
Journal Name
International Journal Of Advanced Science And Technology
Improved Merging Multi Convolutional Neural Networks Framework of Image Indexing and Retrieval
Zernike Moments
Deep learning
Convolutional Neural Networks
Wavelet
transforms
Slanlet transform
Informational retrieval
Background/Objectives: The purpose of current research aims to a modified image representation framework for Content-Based Image Retrieval (CBIR) through gray scale input image, Zernike Moments (ZMs) properties, Local Binary Pattern (LBP), Y Color Space, Slantlet Transform (SLT), and Discrete Wavelet Transform (DWT). Methods/Statistical analysis: This study surveyed and analysed three standard datasets WANG V1.0, WANG V2.0, and Caltech 101. The features an image of objects in this sets that belong to 101 classes-with approximately 40-800 images for every category. The suggested infrastructure within the study seeks to present a description and operationalization of the CBIR system through automated attribute extraction system premised on CN
... Show MorePublication Date
Sat May 31 2025
Journal Name
3rd International Scientific Conference For Human And Social Studies And Epistemological Challenges
Frankenstein Complex in Daniel H. Wilson's Robopocalypse ( ): Artificial Intelligence Conspiracies
With the advent of technology
the fear of losing control has consistently
accompanied humanity. While humans have discovered
invented
and
created many remarkable things
they have also been haunted by the
possibility of their creations turning against them. This fear
often referred to
as the Frankenstein Complex
derives its name from Mary Shelley's
Frankenstein ()
in which Dr. Frankenstein's creation ultimately destroys
its maker. The Frankenstein Complex embodies the subconscious fear of
artificial intelligence (AI) surpassing and potentially dominating humankind.
This apprehension has inspired numerous literary works
including Daniel H.
Wilson’s novels. The present study examines the widespread fear of AI
which has fueled conspiracy theories in literature. These theories have not
only amplified public anxiety but also hindered understanding among those
with limited knowledge of AI and robotics. Dr. Wilson
a robotics expert
uses
his imagination as a driving force for both his writing and his inventions. The
research focuses on incidents leading to the rise of robots
the concept of the
New War
how it was fought
and how it concluded. By comparing
contrasting
and analyzing literary elements and devices with prominent
conspiracy theories
the study highlights the interplay between fiction and
scientific development. The researchers conclude that while many conspiracy
theories contain elements of truth
they often inspire scientists to explore them
further. Additionally
some conspiracy theories warrant serious
consideration. The study recommends acknowledging the Frankenstein
Complex while maintaining faith in the potential benefits of artificial
intelligence.