27 citations · 138 across the 9 of their papers we have counts for
9 papers
PSO-UNet: Particle Swarm-Optimized U-Net Framework for Precise Multimodal Brain Tumor Segmentation
Shoffan Saifullah, Rafał Dreżewski
Medical image segmentation, particularly for brain tumor analysis, demands precise and computationally efficient models due to the complexity of multimodal MRI datasets and diverse…
Comparative Analysis of Image Enhancement Techniques for Brain Tumor Segmentation: Contrast, Histogram, and Hybrid Approaches
Shoffan Saifullah, Andri Pranolo, Rafał Dreżewski
This study systematically investigates the impact of image enhancement techniques on Convolutional Neural Network (CNN)-based Brain Tumor Segmentation, focusing on Histogram Equali…
Nondestructive chicken egg fertility detection using CNN-transfer learning algorithms
Shoffan Saifullah, Rafal Drezewski, Anton Yudhana +7
This study explored the application of CNN-Transfer Learning for nondestructive chicken egg fertility detection for precision poultry hatchery practices. Four models, VGG16, ResNet…
Tourism's trend Ranking on Social Media Data Using Fuzzy-AHP vs. AHP
Shoffan Saifullah
Tourism is an exciting thing to be visited by people in the world. Search for attractive and popular places can be done through social media. Data from social media or websites can…
Identification of chicken egg fertility using SVM classifier based on first-order statistical feature extraction
Shoffan Saifullah, Andiko Putro Suryotomo
This study aims to identify chicken eggs fertility using the support vector machine (SVM) classifier method. The classification basis used the first-order statistical (FOS) paramet…
K-means segmentation based-on lab color space for embryo detection in incubated egg
Shoffan Saifullah, Rafal Drezewski, Alin Khaliduzzaman +2
The quality of the hatching process influences the success of the hatch rate besides the inherent egg factors. Eliminating infertile or dead eggs and monitoring embryonic growth ar…
Fuzzy-AHP approach using Normalized Decision Matrix on Tourism Trend Ranking based-on Social Media
Shoffan Saifullah
This research discusses multi-criteria decision making (MCDM) using Fuzzy-AHP methods of tourism. The fuzzy-AHP process will rank tourism trends based on data from social media. So…
Comparison of Machine Learning for Sentiment Analysis in Detecting Anxiety Based on Social Media Data
Shoffan Saifullah, Yuli Fauziah, Agus Sasmito Aribowo
All groups of people felt the impact of the COVID-19 pandemic. This situation triggers anxiety, which is bad for everyone. The government's role is very influential in solving thes…
Fish Detection Using Morphological Approach Based-on K-Means Segmentation
Shoffan Saifullah, Andiko Putro Suryotomo, Bambang Yuwono
Image segmentation is a concept that is often used for object detection. This detection has difficulty detecting objects with backgrounds that have many colors and even have a colo…