Performance Optimization in Lead-Free Perovskite Solar Cell: A Comparative Approach by Aisha Shaikh (22330846)

The Business Models of Frugal Enterprises for Sustainable Development in a Constrained Environment by Mokter Hossain (14634969)

“…Drawing on institutional theory perspective and the resource-based view, this article explores how frugal enterprises create business models for serving overlooked customers in emerging markets and overcoming the various constraints and institutional voids. …”

A Maturity Model to Assess Organization’s Readiness to Adopt a Sustainable Business Model by Awwad, Mohamed Aly

“…Organizations’ Business Model (BM) plays a significant role in the world’s economy, society, and environment. …”
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A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models by Azar, Danielle

“…However, these models are hard to generalize and reuse on new, unseen software as their accuracy deteriorates significantly. …”
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Large language models for code completion: A systematic literature review by Rasha Ahmad Husein (19744756)

“…Our analysis reveals that LLMs significantly enhance code completion performance across several programming languages and contexts, and their capability to predict relevant code snippets based on context and partial input boosts developer productivity substantially.…”

Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid (21976373)

“…The Self-DSNet model demonstrated an impressive accuracy of 94.23% when using vision-based data alone. …”

TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by Zina Chkirbene (16869987)

“…In this paper, we propose two models for intrusion detection and classification scheme Trust-based Intrusion Detection and Classification System (TIDCS) and Trust-based Intrusion Detection and Classification System- Accelerated (TIDCS-A) for secure network. …”

Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms by Arafat Rahman (8065562)

Forward simulation of three-dimensional advection-diffusion using a fundamental solution for a linear flow by Wehbe, Rawan

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Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application by Abdus Salam (1918387)

Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better? by Ahmed Soliman (4591621)

“…In this paper, we evaluated the performance of four types of deep models for stroke segmentation: 1) a pure Transformer-based architecture (DAE-Former), 2) two advanced CNN-based models (LKA and DLKA) with attention mechanisms, 3) a hybrid model that incorporates CNNs with Transformers (FCT), and 4) the well-known self-adaptive nnU-Net framework. …”

Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

Two Analytical Models (with Infinite Buffer) for Evaluating Performance of Gigabit Ethernet Hosts by Salah, Khaled

“…The first model is based on Markov processes and queueing theory, while the second, which is more accurate but more complex, is a pure Markov process. …”
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Two Analytical Models for Evaluating Performance of Gigabit Ethernet Hosts with Finite Buffer by Salah, Khaled

“…The first model is based on Markov processes and queueing theory, while the second, which is more accurate but more complex, is a pure Markov process. …”
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Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization by Rusab Sarmun (17632269)

“…Our WBF-based approach combining YOLOv8m and FRCNN-ResNet101 achieves a mean average precision (mAP) score of 86.4% at the IoU threshold of 0.5 on the DFUC2020 dataset, significantly outperforming the former benchmark by 12.4%. …”

The Impact of Inquiry-based Learning on the Critical Thinking of high School Students by AZZAM, LILIAN ABDELNASSER

“…Explanatory sequential mixed-methods approach was utilized in the current study in which the data are collected and analyzed quantitatively first, and then qualitative data were collected in order to fully explain the quantitative data results The current study found that inquiry-based learning approach has a statistically significant positive impact on the high school students’ critical thinking in where the independent T-test results were for t (90) = 7 with a P value equals to 0.000 ˂ 0.05. …”
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GDLL: A Scalable and Share Nothing Architecture Based Distributed Graph Neural Networks Framework by Duong Thi Thu Van (19499206)

“…The base layer utilizes an optimized distributed file system and a scalable graph data store to reduce the performance penalty. …”

DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

“…This study explores an alternative approach involving retinal images, building upon the DiaNet model, the first deep learning model for diabetes detection based solely on retinal images. …”

Analyzing the Influence of Climate and Anthropogenic Development on Vegetation Cover in the Coastal Ecosystems of GCC by Abhilash Dutta Roy (22466830)

“…Our results revealed significant changes in land cover, as seen by an increase in artificial built-up areas by 15.5% in two decades and a corresponding decrease in bareland and dense vegetation. …”

Assessing uncertainty in image-based monitoring: addressing false positives, false negatives, and base rate bias in structural health evaluation by Vagelis Plevris (14158863)

“…However, its reliability is impacted by challenges such as false positives, false negatives, and environmental variability, particularly in low base rate damage scenarios. The Base Rate Bias plays a significant role, as low probabilities of actual damage often lead to misinterpretation of positive results. …”