Skyline queries play a critical role in multi-criteria decision-making systems by retrieving non-dominated data points from large datasets. In recent years, the rapid growth of graph-structured data across various domains has introduced challenges in efficiently processing skyline queries over incomplete and large-scale graph databases. Processing

Pemilihan ragam bahasa yang bersesuaian dengan pemahaman konteks dapat meningkatkan pemahaman kata dan menjelaskan isi penyampaian kepada pembaca dan pendengar. Hal ini demikian kerana, pemilihan ragam bahasa yang sesuai membantu dalam menjelaskan makna yang ingin disampaikan oleh penulis. Kajian ini bertujuan untuk mengkaji jenis bahasa sindiran n

Harmful algal blooms (HABs) pose a serious threat to aquaculture and environmental health, often resulting in considerable ecological and economic impacts. Conventional water quality monitoring techniques, often manual and time-consuming, are inadequate for the timely detection of conditions that promote HAB formation. To overcome these limitations

This study examines the impact of zakat distribution across five key sectors; education, health, humanitarian, economic, and da'wah, on the Islamic Human Development Index (IHDI) in Indonesia from 2015 to 2022. Employing a sequential explanatory design, quantitative data were analyzed using regression techniques, followed by qualitative insight

Background/Objectives: Keloid treatment remains challenging due to limited effectiveness and patient dissatisfaction. Herbal-based therapy offers promising alternatives that require further investigation. Uncaria gambir (W.Hunter) Roxb., an original plant from Indonesia, possesses an antifibrotic effect. However, its potential as an antifibrotic ag

In an era increasingly threatened by pollution and climate change, water quality is under serious risk. Spatial water quality monitoring and traditional laboratory testing are inadequate to protect aquatic ecosystems. An innovative solution emerges from the Internet of Things (IoT), which enables the Water Quality Monitoring System (WQMAS) to trans

The deployment of artificial intelligence in environmental monitoring demands models balancing efficiency, interpretability, and computational cost. This study proposes a hybrid radial basis function network (RBFN) framework integrated with fuzzy c-means (FCM) clustering for predicting harmful algal blooms (HABs) using water quality parameters. Unl

Background: Early-onset neonatal sepsis (EOS), occurring within the first 72 hours of life, is a significant cause of morbidity and mortality in newborns. Prompt diagnosis remains a challenge due to the nonspecific nature of clinical signs and the delayed results from standard diagnostic methods such as blood culture. Traditional hematological mark

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Background/purpose. Recent developments in information and communication technology have opened up many new opportunities in various research fields, including religious studies (Burton, 2020). One of the most notable innovations was integrating artificial intelligence and deep learning in religious studies, including Quranic education and research