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A Cloud-based Framework for Quality Assurance and Enhancement as a Service (QAEaaS) for Universities with Blended Learning Approach
The dynamic and multi-dimensional quality assurance process for Saudi higher education institutes under the National Commission for Academic Accreditation and Assessment (NCAAA) demands an integrated framework for management and support of internal…
A combination of hill cipher and RC4 methods for text security
To hide confidential messages from people who are not responsible or who can access the messages, a way is needed to hide the messages. One way to hide messages in transmission is to change the data into something unintelligible by encoding and…
A compact five-band patch antenna covering WLAN, WiMAX, X, and Ku-bands
This paper introduces a compact, low-profile, five-band antenna for wireless communication systems operating across 2.4/5 GHz WLAN, 3.5 GHz Wi-Max, and 7.5 GHz X- and Ku-band frequencies. The proposed antenna utilizes a novel configuration with a…
A compact multiband antenna based on metamaterial for L-band, WiMax, C-band, X-band, and Ku-band applications
A novel multiband metamaterial (MTM) unit cell antenna loaded with split ring resonator (SRR) slots that resonates at seven bands, which are (1.91 GHz), (3.6 GHz), (6.25 GHz), and (8.69 GHz, 9.69 GHz, 10.70 GHz), and 12.33 GHz of the spectrum, making…
A compact triband patch antenna design at terahertz frequencies
The rapid evolution of terahertz (THz) technology has fueled an increasing demand for efficient, compact, and adaptable antennas that can function for a number of frequency bands in the THz spectral regime. This research outlines the analyses and…
A Comparative Analysis of Deep Learning Models
for Detection of Lumpy Skin Disease with emphasis
on Shifted Window Transformers
Lumpy Skin Disease (LSD) in cattle is an increasingly
prevalent viral infection with significant economic impact.
Traditional detection methods are often labor-intensive and
delayed. In this study, five state-of-the-art deep learning…
prevalent viral infection with significant economic impact.
Traditional detection methods are often labor-intensive and
delayed. In this study, five state-of-the-art deep learning…
A Comparative Analysis of Linear Regression and XGBoost Algorithms for
Predicting GPU Prices Using Technical Specifications
This study investigates and compares the predictive performance of Linear Regression and XGBoost algorithms in estimating Graphics
Processing Unit (GPU) prices based on their technical specifications. GPU prices are known for their high volatility,…
Processing Unit (GPU) prices based on their technical specifications. GPU prices are known for their high volatility,…
A Comparative Analysis of Machine Learning Classifier of Anemia
Diagnosis Based on Complete Blood Count (CBC) Data
Anemia is a prevalent hematological condition that requires accurate and timely diagnosis to ensure effective treatment. This study aims to
compare the performance of several machine learning algorithms Random Forest, Support Vector Machine (SVM),…
compare the performance of several machine learning algorithms Random Forest, Support Vector Machine (SVM),…
A comparative analysis of transfer learning models on suicide and non-suicide textual data
The rise of social media has allowed individuals to express themselves freely, increasing the visibility of mental health concerns, including suicidal tendencies. This issue is particularly significant, as suicide is one of the leading causes of…
A comparative analysis of transfer learning models on suicide and non-suicide textual data
The rise of social media has allowed individuals to express themselves freely, increasing the visibility of mental health concerns, including suicidal tendencies. This issue is particularly significant, as suicide is one of the leading causes of…