Predicting User Behavior over the Web حسب Al Safadi, Amal Adnan

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Artificial Intelligence for Skin Cancer Detection: Scoping Review حسب Abdulrahman Takiddin (14153181)

"…Hence, to aid in diagnosing skin cancer, artificial intelligence (AI) tools are being used, including shallow and deep machine learning–based methodologies that are trained to detect and classify skin cancer using computer algorithms and deep neural networks.…"

Axes-Based Encryption Key حسب Haidar, Imane

"…For this, a need of robust security systems is raised to ensure that our data will be kept safe. This paper introduces a new approach in cryptography based on the distribution of data using an x-y key function. …"
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Resilience analytics: coverage and robustness in multi-modal transportation networks حسب Abdelkader Baggag (14153040)

"…In this work, we propose MUME, an efficient algorithm for Multi-modal Urban Mobility Estimation, that takes advantage of the special structure of the supra-Laplacian matrix of the transportation multiplex, to compute the coverage of the system. …"

A lightweight adaptive compression scheme for energy-efficient mobile-to-mobile file sharing applications حسب Sharafeddine, Sanaa

"…However, the computational as well as memory access requirements of compression algorithms could consume more energy than simply transmitting data uncompressed. …"
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Privacy Preserving Cancellable Template Generation for Crypto-Biometric Authentication System حسب Mohd Imran (12249782)

"…The proposed methodology not only ensures the protection of biometric data in storage but also facilitates secure data retrieval for authentication purposes. …"

Decision-level Gait Fusion for Human Identification at a Distance حسب Al-Tayyan, Amer

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SPA & MLST typing as epidemiological tools for the study of MRSA & MSSA Isolates in Lebanon. (c2009) حسب Rizk, Mazen

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Modelling of pollutant transport in compound open channels حسب Chatila, Jean Georges

"…The numerical computation of open-channel flows requires preparing and processing larger volumes of boundary and bathymetry data for computer inputs and the development of numerical algorithms for treating complex boundary condition, channel properties, and free surface effects. …"
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CEAP حسب Abdel Wahab, Omar

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Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose حسب Atiq Ur Rehman (8843024)

"…These electronic instruments rely on Machine Learning (ML) algorithms for recognizing the sensed odors. The effect of long-term drift influences the performance of ML algorithms and the models those are trained on drift free data fail to perform on the drifted data. …"

Dynamic multiple node failure recovery in distributed storage systems حسب Itani, May

"…Our daily lives are getting more and more dependent on data centers and distributed storage systems in general, whether at the business or at the personal level. …"
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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass حسب Uzma Nawaz (21980708)

"…The collection of digital images for monitoring underwater habitats, such as seagrass meadows, has increased significantly as recent progress in imaging technology has made it easier to collect high-resolution data. The increase in imagery data has in turn created a demand for automated detection and classification using deep neural network-based techniques. …"

Decision-level fusion for single-view gait recognition with various carrying and clothing conditions حسب Al-Tayyan, Amer

"…Gait samples are fed into the MPCA and MPCALDA algorithms using a novel tensor-based form of the gait images. …"
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Design and Analysis of Lightweight Authentication Protocol for Securing IoD حسب Saeed Ullah Jan (9079260)

"…An attacker can easily capture data from the available network channel and use it for their own purpose. …"

A Machine Learning Approach to Predicting Diabetes Complications حسب Jian, Yazan Khaled

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Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study حسب Alaa Abd-alrazaq (17058018)

"…</p><h3>Objective</h3><p dir="ltr">In this paper, we propose a machine learning–based approach for identifying research gaps through the analysis of scientific literature. We used the COVID-19 pandemic as a case study.</p><h3>Methods</h3><p dir="ltr">We conducted an analysis to identify research gaps in COVID-19 literature using the COVID-19 Open Research (CORD-19) data set, which comprises 1,121,433 papers related to the COVID-19 pandemic. …"

CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children حسب Jayakanth, Kunhoth

"…The pre-trained DenseNet201 network is used for CNN feature extraction from each task-specific handwritten image data. …"
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Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic حسب Saeed Al-Maroof, Rana

"…The data obtained from the study were analyzed by using the partial least squares structural equation modeling (PLS-SEM) and machine learning algorithms. …"
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Artificial intelligence models for predicting the mode of delivery in maternal care حسب Rawan AlSaad (14159019)

"…</p><h3>Objectives</h3><p dir="ltr">This study aims to evaluate and compare the predictive accuracy of AI algorithms in predicting the mode of delivery (vaginal or cesarean) using routinely collected antepartum data from electronic health records (EHRs). …"