A Digital DNA Sequencing Engine for Ransomware Analysis using a Machine Learning Network by KHAN, FIROZ

“…The research work proposes a novel detection mechanism for ransomware using machine learning approach using Digital DNA sequencing. …”
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A data-driven approach for fault diagnosis in multi-zone HVAC systems: Deep neural bilinear Koopman parity by Fatemeh Negar Irani (16410087)

“…<p dir="ltr">Sensor faults in heating, ventilation, and air conditioning (HVAC) systems are inevitable and result in significant energy waste. This paper presents an innovative data-driven approach for sensor fault detection and isolation in multi-zone HVAC systems. …”

Workplace Stress Management using EEG-fNIRS Data Fusion and Binaural Beat Stimulation by El Masri, Ghinwa

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Dual-stage segmentation and classification framework for skin lesion analysis using deep neural network by Khadija Manzoor (22565369)

“…Early and accurate detection of such conditions is critical to prevent progression, especially in cases of malignant skin lesions. …”

High-Performance Acetic Acid Sensing Using Cerium-MoS₂ Composite for Beverages and Food Processing Industry by E. Safamariyam (22330186)

DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

“…This study explores an alternative approach involving retinal images, building upon the DiaNet model, the first deep learning model for diabetes detection based solely on retinal images. The newly proposed DiaNet v2 model is developed using a large dataset from Qatar Biobank (QBB) and Hamad Medical Corporation (HMC) covering wide range of pathologies in the the retinal images. …”

Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey by Yassine Himeur (14158821)

“…Then, VSDM techniques are carefully reviewed after dividing them into two main categories: hand-crafted feature-based and deep-learning-based methods. A significant focus is paid to convolutional neural networks (CNN)-based methodologies as most of the frameworks have used either one-stage, two-stage, or multi-stage CNN models. …”

In vitro regulation of quorum sensing in Pseudomonas aeruginosa using synthetic autoinducers By Hrag Dilabazian A thesis by Dilabazian, Hrag

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COVID-19 (SARS-CoV-2) outbreak monitoring using wastewater-based epidemiology in Qatar by Jayaprakash Saththasivam (14151669)

“…The estimated number of infected population on any given day using the wastewater-based epidemiology approach declined from 542,313 ± 51,159 to 31,181 ± 3081 over the course of the sampling period, which was significantly higher than the officially reported numbers. …”

Subclinical Myocardial Dysfunction Assessment Using Speckle Tracking Echocardiography in Patients With Psoriasis: A Pilot Meta‐Analysis by Hritvik Jain (19757091)

“…Two‐dimensional speckle‐tracking echocardiography (2D‐STE) can detect both regional and global myocardial strain. …”

Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images by Hassaan Malik (10486121)

“…Therefore, we designed a novel deep learning (DL)-based chest disease detection network (DCDD_Net) that uses a CXR, CT scans, and cough sound images for the identification of nine different types of chest diseases. …”

Self-CephaloNet: a two-stage novel framework using operational neural network for cephalometric analysis by Md. Shaheenur Islam Sumon (17983810)

“…In lateral cephalograms, however, the manual detection of anatomical landmarks is a time-consuming procedure. …”

Epinephrine in Anaphylaxis: Preclinical Study of Pharmacokinetics after Sublingual Administration of Taste-Masked Tablets for Potential Pediatric Use by Ousama Rachid (14158917)

“…Blood samples were collected at frequent intervals and epinephrine concentrations were measured using HPLC with electrochemical detection. The mean ± SEM maximum plasma concentration (<i>C</i>_max) of 16.7 ± 1.9 ng/mL at peak time (<i>T</i>_max) of 21 min after sublingual epinephrine 30 mg did not differ significantly (<i>p</i> > 0.05) from the <i>C</i>_max of 18.8 ± 1.9 ng/mL at a <i>T</i>_max of 36 min after IM epinephrine 0.15 mg. …”

Arabic Sentiment Analysis for Gulf Opinion Leaders using a Deep Learning Approach Case Study: Covid-19-22 by ALKETBI, SULTAN

“…Additionally, the study evaluates the efficacy of the deep learning model in combating misinformation and highlights the significance of sentiment analysis and news detection in the Arabic language. …”
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A Novel Hybrid Physical-Layer Authentication Scheme for Multiuser Wireless Communication Systems by Elmehdi Illi (19368673)

“…Finally, the more significant the difference between the actual malign and benign nodes’ CFOs, the better the DP.…”

Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) by Mohammad, Hadi Ahmad

“…This study aims to derive a simulation model of vegetation conditions concerning daily temperature and extreme precipitation indices in Katsina State, Nigeria. This study uses remote sensing and Geographic Information System (GIS)-based analysis, time series analysis of precipitation, maximum and minimum temperature, and twenty-four indices defined by the Expert Team on Climate Change Detection to evaluate the influence of Temp and precipitation extreme indices on vegetation dynamics/NDVI. …”
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Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) by Mohammad Hadi Ahmad (17632248)

“…This study aims to derive a simulation model of vegetation conditions concerning daily temperature and extreme precipitation indices in Katsina State, Nigeria. This study uses remote sensing and Geographic Information System (GIS)-based analysis, time series analysis of precipitation, maximum and minimum temperature, and twenty-four indices defined by the Expert Team on Climate Change Detection to evaluate the influence of Temp and precipitation extreme indices on vegetation dynamics/NDVI. …”

A Neighborhood Framework for Resource-Lean Content Flagging by Sheikh Muhammad Sarwar (19517701)

“…<p dir="ltr">We propose a novel framework for cross- lingual content flagging with limited target- language data, which significantly outperforms prior work in terms of predictive performance. …”

The Design and Simulation of a Fuzzy Logic-Controlled Upper-body Exoskeleton for Lower-Limb Paraplegics Using Swing Through Gait Ambulation by Jad, Eid

“…The developed controller shows that it can control actuators in an exoskeleton to ambulate using the STG technique, detect falls/anomalies in the motion, and correct the falls to restore the intended trajectory. …”
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Evaluation of maxillary sinus dimensions and volume using cone beam computed tomography in patients with unilaterally displaced palatal and buccal maxillary canines by Elham S. Abu Alhaija (5959610)