VEGAWES: variational segmentation on whole exome sequencing for copy number detection by Samreen Anjum (19651882)

A Multi-Feature Based Approach Incorporating Variable Thresholds for Detecting Price Spikes in the National Electricity Market of Australia by Dao H. Vu (19570225)

Novel interpretable and robust web-based AI platform for phishing email detection by Abdulla Al-Subaiey (19757007)

“…<p dir="ltr">Phishing emails continue to pose a significant threat, causing financial losses and security breaches. …”

Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar by Amith Khandakar (14151981)

“…Several multiple regression models and artificial neural network (ANN)-based prediction models were trained and tested to forecast the hourly power output of the PV system. …”

Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030) by Khaled F. Alkaraki (22051967)

Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System by B. Rouabah (17947820)

Reinforcement Learning Based EV Charging Management Systems–A Review by Heba M. Abdullah (16896384)

“…More recently, there has been an increasing interest in data-driven approaches in EV charging modeling. Consequently, researchers are looking to deploy model-free approaches for solving the EV charging management with uncertainties. …”

Using genetic algorithms to optimize software quality estimation models by Azar, Danielle

“…Hence, the accuracy of the models often deteriorates significantly when they are used to classify new data. …”
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Mapping subnational HIV mortality in six Latin American countries with incomplete vital registration systems by Local Burden of Disease HIV Collaborators (13279180)

“…</p><h3>Conclusions</h3><p dir="ltr">Our subnational estimates of HIV mortality revealed significant spatial variation and diverging local trends in HIV mortality over time and by age. …”

Aspect-based sentiment analysis using smart government review data by Alqaryouti , Omar

“…Also, the integrated classification model outperforms the lexicon-based baseline and the other rules combinations by 5% in terms of Accuracy on average. …”
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Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim (22303750)

Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic analysis... by Marissa B Reitsma (8674341)

“…Although prevalence of smoking had decreased significantly since 1990 among both males (27·5% [26·5–28·5] reduction) and females (37·7% [35·4–39·9] reduction) aged 15 years and older, population growth has led to a significant increase in the total number of smokers from 0·99 billion (0·98–1·00) in 1990. …”

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)