Browse Items (26 total)

As climatic products, tomatoes are highly sensitive to harvesting and processing. The sorting of tomatoes can be significantly improved by utilizing Hue Saturation Value (HSV) color features that are classified using neighboring algorithms, such as…

This study aimed to compare the performance of various Convolutional Neural Network (CNN) architectures, including LeNet, ResNet, AlexNet, GoogleNet, VGGNet, and the proposed model, in medical image classification for disease detection.…

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 …

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…

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…

It will be necessary for attraction managers withinhotels to track guests' lifestyles to keep the business running. Such an understanding may be achieved, forexample by analyzing reviews on attractions to capture the attitudes of…

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…

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…

Heart disease represents a significant global health concern, underscoring the importance of early and accurate predictive models to minimize complications and improve patient prognosis. The Backpropagation Neural Network (BPNN) has been…

Despite the growing sophistication of cyberattacks, current network traffic analysis tools often lack intuitive visual support, limiting human analysts’ ability to interpret complex threat behaviors. To address this gap, this study proposes a novel…