Browse Items (26 total)

The Thermal Humidity Index (THI) serves as a critical measure of environmental thermal comfort, particularly vital for living beings in densely populated regions. This study projects and classifies THI in the western northern coastal areas of Central…

The increasing demand for data security in digital communication, particularly in high-risk sectors like defense, has led to the exploration of innovative encryption approaches. This study presents a dual-layer encryption model that enhances…

This study targets improved sentiment classification by combining the strengths of multiple SVM kernels within an ensemble framework. We introduce SVM Porlis, which fuses Linear, RBF, Polynomial, and Sigmoid kernels using both hard and soft voting to…

Facial recognition technology is now advancing quickly and is being used extensively in a number of industries, including banking, business, security systems, and human-computer interface.However, existing facial recognition models …

Recommender systems play a crucial role in personalized decision-making, particularly in the tourism industry, where users seek destinations that align with their preferences. However, traditional recommendation methods often struggle to provide…

Tourism is a vital economic sector for Lombok Island, which is renowned for its natural beauty and cultural richness as a topdestination. The rapid growth of tourism in Lombok requires a deep understanding of tourists' perceptions and sentiments to…

Menu planning for every individual is essential to obtain a balanced and healthy food intake for growth and development. Children with Autism Spectrum Disorders (ASD) face more feeding difficulties than their peers due …

This study addresses the challenge of accurately clustering earthquake events based on depth to better understand seismic activity patterns in Sulawesi from 2019 to 2023. Traditional clustering algorithms often fail to capture the…

Traditional methods for identifying potato leaf diseases rely on manual visual inspection, which is prone to human error and inefficiencies. Although machine learning models have improved automation, conventional closed-set classifiers …

The rapid spread of misinformation on social media platforms, particularly X (formerly Twitter), poses a significant challenge to public trust and democratic integrity. Fake news is often crafted to deceive readers and …