Did the periodic intensification of routine immunisation strategy (Intensified mission Indradhanush) reduce the demand for pediatric antibiotic formulations in India? by Habib Hasan Farooqui (7861166)

“…<h3>Background</h3><p dir="ltr">Recent research has indicated an increase in antibiotic utilisation, particularly pediatric formulations. …”

Artificial Intelligence for Detecting and Quantifying Fatty Liver in Ultrasound Images: A Systematic Review by Fahad Muflih Alshagathrh (18427950)

Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP by Abdelhafez, Nada

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From Waste Reduction to Worker Comfort: Leveraging Lean Manufacturing and Ergonomics in Textiles Sewing Industries in UAE by ALAM, SAUD AMIR

“…By streamlining processes, reducing lead times, and increasing efficiency, organizations can produce more output with the same or fewer resources. …”
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Total Damages Quantification Method for Float Allocation by Jadallah, Khaled M. S.

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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. …”
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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)

Theft Detection Unit For Photo-Votaic Generation in Smart Grid Networks by Almadani, Nouf Ahmad

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In-Between Projection Interpolation in Cone-Beam CT Imaging using Convolutional Neural Networks by Dweek, Samaa

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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. …”
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Electrochemical Studies on the Corrosion Behavior of Common Metals in Eutectic Ionic Liquids by Alhasan, Rami

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

“…Our article proposes a vision-based system for real-time drone identification and classification utilizing YOLOv5, YOLOv8, and GELAN-E deep learning models, enhanced with novel attention mechanisms and interpretability techniques. …”

Cyberbullying Detection and Abuser Profile Identification on Social Media for Roman Urdu by Ayesha Atif (22155133)

“…<p dir="ltr">In today’s digital era, the escalating phenomenon of cyberbullying is a pervasive and growing concern. With the increasing prevalence of social media platforms, such as Twitter, online abusive behavior has become a significant issue that often leads to unpleasant experiences for users. …”

The use of multi-task learning in cybersecurity applications: a systematic literature review by Shimaa Ibrahim (22155739)

“…<p dir="ltr">Cybersecurity is crucial in today’s interconnected world, as digital technologies are increasingly used in various sectors. The risk of cyberattacks targeting financial, military, and political systems has increased due to the wide use of technology. …”

Decoding silent speech: a machine learning perspective on data, methods, and frameworks by Adiba Tabassum Chowdhury (19444792)

“…Examining state-of-the-art SSR frameworks, the paper covers important topics such signal processing, feature extraction, ML techniques for decoding and optimizing and assessing the performance of SSR models. We emphasize how deep learning (DL) and ML models have evolved to increase SSR resilience and accuracy. …”

Intelligent scaling for 6G IoE services for resource provisioning by Abdullah Alharbi (4173502)

“…IScaler is considered to be made for MEC in Deep Reinforcement Learning (DRL). The paper has considered several requirements for making service placement decisions. …”

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

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