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Now showing items 4192-4211 of 4414

U-Net Convolutional Networks Performance Based on Software-Hardware Cooperation Parameters: A Review

Salim, Ula Tarik; Ali, Fakhrulddin; Dawwd, Shefa Abdulrahman (2021-07-25)

In recent years, the continued advances of the deep learning as a part of machine learning produces an accuracy which resembles the people’s performance in processing various challenges of the real world. U-Net, as ...
Un-Imperceptible Image Steganography Approach (U-IISA) in Excel sheet

Al-anni, Maad Kamal; Almuttairi, Rafah M.; Alsaadi, Husam Ibrahiem Husain (2020-11-01)

obliquely, the obfuscation becomes the vital mannerism for preserving the surreptitious data, so far it is necessary to pay more attention to the art of hiding important images for the purpose of sending crucial decisions ...
Unacceptable Behavior from Teachers Point of View Amongst Students at the Primary Stage in the Kingdom of Bahrain

Huwaidi, Mohammed; Al Yammain, Saeed (2007-03-01)

This Study aims at identifying unacceptable behavior, from a teachers’ point of view, amongst third and sixth grade students of the primary schools in Bahrain. (249) teachers, representing (4) governates, responded to a ...
Uncertainty Based Chaotic Pigeon Inspired Optimized Feature Selection for Effective Dyslexia Prediction using Density Peak Clustering

R, Vinodh. M.; Rose, P. J. Arul Leena (2023-07-18)

The role of cognitive computing in the domain of medical monitoring substantially aids the specialist in detecting concealed disorders at an initial phase. Dyslexia is not a disorder but a long-term problem affecting ...
Uneven Deployment Model for Maximizing the Upper Bound of WSN Lifetime

Das, Shilpa; Sahu, Benudhar; Panda, Ganapati (2023-10-01)

Wireless Sensor Network (WSN) are ad-hoc networks comprising of light weight battery - powered static sensor nodes where the WSN lifetime is a crucial to its functionality based on the active state of the network. Uneven ...
A Unique Approach for Ex-filtering Sensitive Data through an Audio Covert Channel in Android Application

Shah, Abhinav K.; Rathod, Digvijaysinh M.; Buddhadev, Bharat; Rami, Jeet (2023-07-18)

The rapid global evolution of technology has led to a significant shift in the field of cybersecurity. The advent of technologies such as Artificial Intelligence, Machine Learning, Blockchain, and Data Science has ...
University Students in the Writing Courses From the Centre to the Periphery: A Critical Perspective

Masri , Taghreed Ibrahim (2015-12)

Because English is the medium of instruction in higher education in the UAE, many students coming from public schools, where English is taught as a subject, find themselves at the periphery; excluded from access to the ...
Unraveling the Nexus: Exploring the Qualitative Dimensions of the Internet of Things, Impact on Knowledge Management in Healthcare System through a Systematic Literature Review

Hauron, Nadia; Gunawan, Ali; Hartono, Hendry (2024-01-22)

The advent of the Internet of Things (IoT) has ushered in a transformative era for knowledge management in healthcare systems, promising enhanced integration, efficiency, and decision-making capabilities. We investigates ...
Unrealistic Optimism and its Relationship with Personality Variables among Kuwait University Undergraduates

Alansari, Bader M. (2002)

This study aims at determining the relationship between unrealistic optimism with some personality variables as optimism, pessimism, positive life orientation, hopelessness, shame and guilt, and to assess the factor structure ...
Unsteady three-dimensional MHD flow of a nano Eyring-Powell fluid past a convectively heated stretching sheet in the presence of thermal radiation, viscous dissipation and Joule heating

Mahanthesh, B.; Gireesha, B.J.; Gorla, Rama Subba Reddy (2017-06)

The purpose of this study is to investigate the unsteady magnetohydrodynamic threedimensional flow induced by a stretching surface. An incompressible electrically conducting Eyring-Powell fluid fills the convectively heated ...
An Unsupervised Machine Learning Algorithms: Comprehensive Review

Naeem, Samreen; Ali, Aqib; Anam, Sania; Ahmed, Muhammad Munawar (2023-03-02)

Machine learning (ML) is a data-driven strategy in which computers learn from data without human intervention. The outstanding ML applications are used in a variety of areas. In ML, there are three types of learning ...
Upgrading the Performance of Machine Learning Based Chronic Disease Prediction Systems using Stacked Generalization Technique

Maini, Ekta; Venkateswarlu, Bondu; Marwaha, Dheeraj; Maini, Baljeet (2020-07-01)

During the past few years, mortality due to chronic diseases has increased manifolds globally. Low- and middle-income group countries are worst affected as the healthcare facilities are neither affordable nor accessible ...
The Use of Achievement Portfolio in the Assessment of Arabic Language Female Teachers Performance in Makkah City

Dr. Al-Nemari, Hanan S. (2013)

The research aims to identify the use of achievement portfolios to assess the performance of Arabic language female teachers in Makkah City through identifying the degree of importance in using these portfolios and the ...
Use of AI Applications in order to Learn the Sentiment Polarity of Public Perceptions: A Case Study of the COVID-19 Vaccinations in the UAE

Radaideh, Abdulrahman; Dweiri, Fikri (2024-01-02)

The study examines the public perception of COVID-19 vaccinations in the United Arab Emirates (UAE) through the analysis of Twitter data. With the goal of distinguishing between factual information and misinformation, the ...
The Use of Blackboard Software as a Course Delivery Method

Al-Mashaqbeh, Ibtesam Fares (2009-09-01)

The aim of this study was to investigate students’ perception towards the use of blackboard as a course delivery method. It examines three issues that may have an impact on students’ perception towards the use of blackboard, ...
The use of Causal Theory in predicting the Expectation Gap between Auditors and users of Financial Statements: An Empirical Study on Canal Governorates in Arab Republic of Egypt

Albaz, Mustafa Ali (1999-05-01)

The research aims at the use of the Causal Attribution Theory in predicting the degree and the actual causes of the expectation gap in auditing as an attempt to motivate the scientific and professional institutions of ...
The use of concept maps as a tool for understanding conceptual change in pre-service elementary teachers on the concept of density

Shaker,Ziad (2012)

In this article, the researcher will report on methods for scoring concept maps to assess conceptual change in preservice elementary teachers’ understanding of the concept of density. The researcher used the method of Total ...
Use of Dialogue through E-Mail Technology in Developing Writing Skills to English as Foreign Language Learners (EFL) at Al-Imam Mohammad Ibin Saud Islamic University

Dr. Abdelrahman, Omar N. Bani (2013)

This study aims at exploring the use of dialogue through electronic mail technology in developing writing skills of the first-year English majors at Al Imam Mohammad Ibin Saud Islamic University. The sample of the study ...
The Use of Good and Poor Language Learner Strategies and of the Cognitive, Meta-cognitive, Social and Affective Strategies by English Language Students in the Hashemite University

Obeidat, Mohammed M. (2005-09-01)

This study mainly aimed at investigating the use of good and poor language learner strategies and of the cognitive, meta-cognitive, social and affective by English language students in the Hashemite University. The researcher ...
Use of Immediate Corrective Feedback in Classroom Discussions by Islamic Education Teachers

Dr. Al-Ayasrah, Mohammad A.; Al-Shabibi, Thurayya S. (2012)

The present study aimed at investigating Islamic Education teachers’ use of immediate corrective feedback in classroom discussions. The sample of the study consisted of 36 male and female teachers. Each was video-taped ...

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