Total Damages Quantification Method for Float Allocation by Jadallah, Khaled M. S.

Get full text

The Drivers of Complexity in Inventory Management Within the Healthcare Industry: A Systematic Review by Al Khatib, Inas

“…Predictive analytics and stock optimization are made possible by the increasing deployment of AI and machine learning. Autonomous Mobile Robots and RFID technology are being used more for quick identification and data collection, while Internet-of-Things devices are used for real-time tracking. …”
Get full text

State-of-the-Art advances and challenges in wearable gas sensors for emerging applications: Innovations and future prospects by Abdul Hakeem Anwer (22282432)

Management of leak after sleeve gastrectomy: outcomes of 73 cases, treatment algorithm and predictors of resolution by Moataz Bashah (14148867)

“…Patients on jejunal feeding had shorter resolution time (HR = 2.7, P = 0.018), while patients on total parenteral nutrition and post-endoscopic dilatation had 66% and 50% increases in the resolution time; (HR = 0.34, P = 0.026) and (HR = 0.5, <i>P</i> = 0.047), respectively.…”

Air catalytic biomass (PKS) gasification in a fixed-bed downdraft gasifier using waste bottom ash as catalyst with NARX neural network modelling by Muhammad Shahbaz (772838)

Holistic Transitional Approach of Humanitarian Shelters Through The Implementation of Adaptable Design Strategies. by ALSHALABI, WASEEM

“…This causes multiple and repeatable humanitarian efforts and results in increased waste, costs and time. This escalates the unwelcomed results and environmental impacts and fails in achieving population recovery, community resilience and self-reliance. …”
Get full text

VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models by Md. Sakib Bin Islam (22828181)

“…Additionally, we employ Gradient-weighted Class Activation Mapping (EigenCAM) for visualizing model focus during detection, increasing the system’s transparency and interpretability. …”

From classrooms to controllers: how school closures shaped children's video gaming habits by Muna Abed Alah (14779534)

“…Average weekly screen time increased significantly from 19.7 ± 10.1 h to 31.9 ± 12.6 h during closure (<i>p</i> < 0.001). …”

Impact of Exclusive Bus Lanes on Traffic Performance in Urban Areas by Abdulwahid, Amro Riyadh

Get full text

Behavioral Modeling of RF Power Amplifiers Using Reduced Sampling Rate by Abdelnaby, Moustafa Farag

Get full text

GIS-based spatiotemporal analysis for road traffic crashes; in support of sustainable transportation Planning by Semira Mohammed (15294167)

“…<p>Road traffic crashes pose a significant challenge worldwide, necessitating increased efforts to reduce them and promote sustainable transport systems. …”

Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis by Karim Hader (2548618)

“…For every 100-m run above 5.5 m·s⁻¹, CK activity measured 24 h post-match increased by 30% and CMJPPO decreased by 0.5%. Conversely, the total distance covered did not present any evidence of a clear relationship with any fatigue-related marker at any time-point.…”

Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction by Yassine Himeur (14158821)

“…This paper presents an efficient non-intrusive load monitoring framework that consists of the following main components: (i) a novel fusion of multiple time-domain features is proposed to extract appliance fingerprints; (ii) a dimensionality reduction scheme is introduced to be applied to the fused time-domain features, which relies on fuzzy-neighbors preserving analysis based QR-decomposition. …”

A heuristics for HTTP traffic identification in measuring user dissimilarity by Adeyemi R. Ikuesan (14157123)

A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition by Hanif Heidari (22467148)

Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation by Rawan AlSaad (14159019)

“…<p dir="ltr">Effective modeling of patient representation from electronic health records (EHRs) is increasingly becoming a vital research topic. Yet, modeling the non-stationarity in EHR data has received less attention. …”

Towards electric digital twin grid: Technology and framework review by Md. Mhamud Hussen Sifat (17337913)

“…Electric Digital Twin grid can perform online analysis of the grid in real-time and integrates all the past and present data and express the current grid status to the producers and consumers and also predicts the future grid status. …”

Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting by Abdelkader Baggag (16864140)

“…., its generation, propagation and mitigation, in order to increase operational efficiency and improve livability within smart cities. …”

Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring by Zina Chkirbene (16869987)

“…<p dir="ltr">The traditional healthcare system is increasingly challenged by its dependence on inperson consultations and manual monitoring, struggling with issues of scalability, the immediacy of care, and efficient resource allocation. …”

Blockchain-Based Local Energy Market Enabling P2P Trading: An Australian Collated Case Study on Energy Users, Retailers and Utilities by Liaqat Ali (641438)

“…Moreover, the margins of both energy retailers and distribution utilities are kept unchanged or increased to some extent by the proposed trading model to incorporate them in the LEM framework effectively. …”