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

“…The proposed approximate method also outperforms the random selection policy significantly.</p><p dir="ltr">Erratum - Erratum to: Efficient experimental design for uncertainty reduction in gene regulatory networks: <a href="https://dx.doi.org/10.1186/s12859-015-0839-y" target="_blank">https://dx.doi.org/10.1186/s12859-015-0839-y</a>, published online 14 December 2015.…”

Mycelium-Based Thermal Insulation for Domestic Cooling Footprint Reduction: A Review by Shouq Al-Qahtani (19344703)

Comparative effectiveness and safety of direct-acting oral anticoagulants (DOACS) for the reduction of recurrent venous thromboembolism in cancer patients by Mohammed ibn-Mas’ud Danjuma (20278119)

Degree-Based Network Anonymization by Halawi, Ola

“…Our thorough experimental studies provide empirical evidence of the effectiveness of the new approach; by specifically showing that the introduced anonymization algorithm has a negligible effect on the way nodes are clustered, thereby preserving valuable network information while significantly improving the data privacy.…”
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VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems by Hisham A. Kholidy (18891802)

“…In this paper, we introduce VHDRA, a Vertical and Horizontal Data Reduction Approach, to improve the classification accuracy and speed of the NNGE algorithm and reduce the computational resource consumption. …”

Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

“…Results The method of measuring reflectivity is good to excellent reliability for all regions of interest except the fourth. The mean reflectivity of the choriocapillaris and Sattler’s layer in amblyopic eyes were significantly lower than in healthy eyes (p = 0.003 and p = 0.008 respectively). …”
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Modelling the Impact of Bottlenecks on Arterial Travel Time Using Neural Networks by Abdallah, Azza

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ECP: Error-Aware, Cost-Effective and Proactive Network Slicing Framework by Amr E. Aboeleneen (19237135)

“…<p dir="ltr">Recent advancements in Software Defined Networks (SDN), Open Radio Access Network (O-RAN), and 5G technology have significantly expanded the capabilities of wireless networks, extending beyond mere data transmission. …”

SVM-based task admission control and computation offloading using lyapunov optimization in heterogeneous MEC network by Abbas, Nadine

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Binary-NeRV: Hybrid-Precision Weights Binarization for Efficient Neural Video Representation by Shanableh, Tamer

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Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS by Khan, Malik Nasir Afzal

“…Linear discriminant analysis (LDA) showed a maximum accuracy of 60%, whereas non-augmented data classified by a convolutional neural network (CNN) provided the highest classification accuracy of 73%. …”
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An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise by Shams Nafisa Ali (17949191)

Semi-supervised Clustering of Facial Expressions by Jalal, Ahsan

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EEG-Based Multi-Level Mental State Classification Using Partial Directed Coherence and Graph Convolutional Networks: Impact of Binaural Beats on Stress Mitigation by Badr, Yara

“…Utilizing EEG signals, graph convolutional neural networks (GCNs), and binaural beats stimulation (BBs), the research investigates stress detection and reduction in two population sample groups with distinct baselines (group 1: low daily baseline, and group 2: stressed daily baseline). …”
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A full privacy-preserving distributed batch-based certificate-less aggregate signature authentication scheme for healthcare wearable wireless medical sensor networks (HWMSNs) by Osama Bassam J. Rabie (21323741)

“…The communication cost is 400 bits which is a significant reduction when compared with its counterparts. …”

Effect of Implementing Sustainable Management Practices on Construction Claims Mitigation by Thabet, Zeina

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Reduced Voltage Stress and Spikes in Source Current of 7-Level Switched-Capacitor Based Multilevel Inverter by Shirazul Islam (16904535)

Estimating the Transformer Health Index Using Artificial Intelligence Techniques by Al Qudsi, Alhaytham Y.

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Learning-Based Automatic Modulation Classification by Abdelmutalab, Ameen Elsiddig

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Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk by Mohamed Chaouch (17983846)

“…Receiver Operating Characteristic (ROC) analysis shows superior Area Under the Curve (AUC) for the offline classifier but at a significant computational cost. A second study on larger database of credit scoring confirms these findings, showing that the online classifier achieves an F1-score of 96.40% and an accuracy of 93.08%, closely matching the performance of neural networks (96.46%, 93.22%) and boosting (96.51%, 93.31%). …”