Efficient experimental design for uncertainty reduction in gene regulatory networks by Roozbeh Dehghannasiri (5725805)

“…The experimental design method utilizes the concept of mean objective cost of uncertainty (MOCU). MOCU quantifies the expected increase of cost resulting from uncertainty. …”

Percutaneous coronary intervention can be safely performed with left ventricular thrombus without increasing stroke risk: A 5-year retrospective review using real-world data by Mohanad Shehadeh (17860691)

“…<h3>Introduction</h3><p dir="ltr">Left ventricular thrombus (LVT) increases the risk of ischemic stroke. However, it remains uncertain if the percutaneous coronary intervention (PCI) in the confirmed LVT setting further augments the stroke risk. …”

The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000) by Jabre, Mazen Gerges

“…The mean levodopa dose was reduced by 90% (p < 0.01), while the mean dopamine agonist dose was increased by 15% from preoperative level. …”
Get full text
Get full text

Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M., Shibl

“…Deep RL is utilized to model the EV chargers and the EV users. …”
Get full text
Get full text
Get full text

Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M. Shibl (17821382)

“…Deep RL is utilized to model the EV chargers and the EV users. …”

Exendin-4 promotes GSIS without increasing β-cell number through upregulation of glucose-sensing apparatus and mitochondrial oxidative phosphorylation machinery genes in hPSC-deriv... by Abdoulaye Diane (14152749)

“…Gene expression in cell clusters was determined by RT-PCR. Data are mean ± SEM (n=6)</p> <p>Results: Flow cytometry data for relevant stage-specific markers showed 96 % OCT4 positive, 89% SOX17 and 83% PDX1 positive cells, indicating good pluripotency, high definite endoderm and pancreatic progenitor induction, respectively.  …”

FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults by Mohamed Massaoudi (16888710)

“…In practice, TSA based on deep learning is preferable for its high accuracy but often overlooks challenges in maintaining data privacy while coping with network topology changes. …”

Experimental Verification of Low-Pressure Kinetics Model for Direct Synthesis of Dimethyl Carbonate Over CeO₂ Catalyst by G. Ibrahim (7601063)

“…The kinetic model predictions closely aligned with experimental data, demonstrating a 17% mean absolute percentage error and indicating a high level of predictability. …”

Combining Saliency with Prediction for Endoscopic Diagnosis by Rezk, Mahmoud

Get full text

Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030) by Khaled F. Alkaraki (22051967)

The Use of Microwave Tomography in Bone Healing Monitoring by Alkhodari, Mohanad Ahmed

Get full text

Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter by Mena S. ElMenshawy (17983807)

“…The forgetting factor improves the estimation accuracy and increases the system convergence when compared with the AEKF. …”

Data-Efficient Wheat Disease Detection Using Shifted Window Transformer: Enhancing Accuracy, Sustainability, and Global Food Security by Muhammad Khubaib (22927822)

“…This research presents a deep learning technique based on the Shifted Window (Swin) Transformer, a powerful attention-based model that effectively captures both local and global information for enhanced classification output. …”

A decision support system for automating document retrieval and citation screening by Raymon van Dinter (10521952)

Improving pediatric trauma care: an automated system for wrist trauma detection using GELAN by Promit Basak (22997776)

“…The results of our study highlight the capacity of deep learning to improve the diagnosis of pediatric trauma, decrease the burden on radiologists, and boost patient outcomes.…”

YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm by Prabu Selvam (22330264)

Energy-Efficient Cell Association and Load Balancing for Low Battery Users in Heterogeneous Cellular Networks by Abdul Qadeer Khan (22502168)

“…This paper proposes improved cell association schemes based on the battery levels of UE and Deep Q-learning (DQL) to achieve load balancing and to decrease the power consumption of Low Battery Users (LBUs). …”

Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers by Mostafa Shibl (18810412)

“…<p dir="ltr">Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power grid as it avoids distribution system overloads, increases power quality, and decreases voltage fluctuations. Moreover, the coordinated charging supports flattening the load profile. …”

The role of job description as a motivational tool. (c2000) by Nahfawi, Ghina

Get full text
Get full text
Get full text

Disrupted harvests: how Ukraine – Russia war influences global food systems – a systematic review by Hamid El Bilali (15864930)

“…Utilizing a rigourous methodology, we screened 236 articles from the Web of Science database as of March 2023, narrowing the corpus to 62 significant publications that meet comprehensive eligibility criteria. The war affected all food security dimensions, but the most dramatic impact was on food access. …”