A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences by Razieh Rastgoo (22457767)

“…<p dir="ltr">The inherently unpredictable nature of solar power generation, primarily due to rapidly changing cloud cover, poses a significant challenge to the operation of solar-integrated energy systems. …”

Analysis of mode choice affects from the introduction of Doha Metro using machine learning and statistical analysis by Ammar Abulibdeh (15785928)

“…Revealed preference (RP) and stated preference (SP) survey questionnaires were designed to collect the necessary data. …”

Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles by Zainab Akhtar (15192184)

“…Subsequently, a sliding mode controller is designed based on the observed states to track the reference trajectories. …”

Safety and efficacy of chimeric antigen receptor T-cell therapy for acute myeloid leukemia: A subgroup based meta-analysis by Mahmoud M. Morsy (18560491)

“…<h3>Introduction</h3><p dir="ltr">Acute myeloid leukemia (AML) is a significant hematological malignancy in the United States, with a high mortality rate and limited treatment options. …”

A Multi-Feature Based Approach Incorporating Variable Thresholds for Detecting Price Spikes in the National Electricity Market of Australia by Dao H. Vu (19570225)

“…In this paper, a multi-feature based approach with the incorporation of variable thresholds is developed to detect electricity price spikes in the national electricity market of Australia. …”

Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods by Jayakanth, Kunhoth

“…Evaluation in a publicly available dataset indicates that the AdaBoost classifier achieved a classification accuracy of 80.8%, which is 1.3% more than the state-of-the-art method. Moreover, a deep analysis of different characteristics (kinematic, dynamic, temporal, spatial, etc.) of online handwriting is conducted to examine their significance in distinguishing normal and abnormal handwritten data. …”
Get full text
Get full text
Get full text

Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods by Jayakanth Kunhoth (14158908)

“…Evaluation in a publicly available dataset indicates that the AdaBoost classifier achieved a classification accuracy of 80.8%, which is 1.3% more than the state-of-the-art method. Moreover, a deep analysis of different characteristics (kinematic, dynamic, temporal, spatial, etc.) of online handwriting is conducted to examine their significance in distinguishing normal and abnormal handwritten data. …”

A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance by Krishnamoorthy Natarajan (22047464)

Ultra high gain step up DC/DC converter based on switched inductor and improved voltage lift technique for high‐voltage applications by Shahrukh Khan (13791895)

Blue collar laborers’ travel pattern recognition: Machine learning classifier approach by Aya Hasan Alkhereibi (17151070)

“…<p dir="ltr">This paper proposes a pattern recognition model to develop clusters of homogenous activities for blue-collar workers in the State of Qatar. The activity-based data from the travel diary of 1051 blue-collar workers collected by the Ministry of Transportation and Communication (MoTC) in Qatar was used for analysis. …”

A Novel Hybrid Physical-Layer Authentication Scheme for Multiuser Wireless Communication Systems by Elmehdi Illi (19368673)

“…In this article, an enhanced hybrid channel/device-based physical-layer authentication (PLA) scheme is proposed. …”

Parametric investigation and optimisation of mechanical properties of thick tri-material based composite of PLA-PETG-ABS 3D-printed using fused filament fabrication by Imran Khan (109715)

“…An analysis of variance (ANOVA) was also performed to check the significance of FFF process parameters. The results concluded that the selected FFF process parameters were significant in the interaction state of both tensile properties. …”

Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring by Sakib Mahmud (15302404)

“…<h3>Background and Motivations</h3><p dir="ltr">Physiological signals, such as the Photoplethysmogram (PPG) collected through wearable devices, consistently encounter significant motion artifacts. Current signal processing techniques, and even state-of-the-art machine learning algorithms, frequently struggle to effectively restore the inherent bodily signals amidst the array of randomly generated distortions. …”

Land suitability assessment and self-sufficiency evaluation for fodder crop production in a hyper arid environment coupling GIS-based multi-criteria decision making and optimizatio... by Hazrat Bilal (7367477)

“…This study evaluates land suitability for fodder crop production in the State of Qatar. It aims to provide a multi-criteria evaluation based spatial decision support system, considering the usage of rainfall, treated wastewater, and groundwater for irrigation. …”

Efficacy and safety of the newer oral hypoglycemic agents in patients with T2DM during Ramadan: A systematic review and meta-analysis by Hoda Gad (6470522)

“…Dipeptidyl peptidase-4 inhibitors (DPP-4i) led to a significant reduction in Hb_A1c (%) (SMD -0.25) and a non-significant decrease in weight (kg) (SMD -1.06) during Ramadan. …”

Effects of hydroxycut ingestion on the lipid profile & lipoproteine metabolism in the rat model. (c2004) by Khajag, Koulajian

Get full text
Get full text

Rhus coriaria L. (Sumac) Demonstrates Oncostatic Activity in the Therapeutic and Preventive Model of Breast Carcinoma by Peter Kubatka (11008854)

“…In the mouse model, R. coriaria at a higher dose (1%) significantly decreased tumor volume by 27% when compared to controls. …”

Detecting Mental Stress using EEG and Deep Learning by Badr, Yara

Get full text

A Cross-cultural study of pragmatically requestive speech act realization patterns by Elsayed, Elsayed Mahmoud

“…Additionally, it revealed significant differences between them in employing the politeness strategies. …”
Get full text

Hyper-Hypo study: A Retrospective Observational Study of Neonatal Hypoglycemia Related to Maternal Hypertension by Thiruveni Ramkumar (17075051)

“…Hypoglycemia were more prevalent among neonates of non-hypertensive mothers. On the other hand, neonates of hypertensive mothers administered with methyldopa showed a significant decrease of initial blood glucose reading.…”