The Drivers of Complexity in Inventory Management Within the Healthcare Industry: A Systematic Review حسب 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. …"
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Management of leak after sleeve gastrectomy: outcomes of 73 cases, treatment algorithm and predictors of resolution حسب 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 حسب Muhammad Shahbaz (772838)

Holistic Transitional Approach of Humanitarian Shelters Through The Implementation of Adaptable Design Strategies. حسب 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. …"
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From classrooms to controllers: how school closures shaped children's video gaming habits حسب 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 حسب Abdulwahid, Amro Riyadh

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VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models حسب 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. …"

Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis حسب 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.…"

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

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

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

Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction حسب 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 حسب Adeyemi R. Ikuesan (14157123)

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

Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation حسب 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 حسب Md. Mhamud Hussen Sifat (17337913)

"…<p dir="ltr">The major hindrances in the energy system are ecological consciousness, lack of clean and sustainable energy management, insufficient energy distribution–transmission–optimization, expensive power transfer costs, and increased customer knowledge of energy charges. Thus why, universal access to the grid with high cybersecurity, and reliability is needed to solve all these challenges. …"

Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting حسب 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 حسب 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 حسب 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. …"

Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms حسب Marwan Dhuheir (19170898)

"…A key requirement in these applications is minimizing the latency of data processing, particularly for time-sensitive tasks like image classification of IIoT device data. …"

Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique حسب Iqbal Hassan (22155274)

"…These results are indicative that the adoption of multi-channel wearable EEG devices may facilitate real-time CL estimation, minimizing the need for extensive human intervention, and reducing potential bias, paving the way for more objective and efficient CL assessments.…"