Research Fingerprints
Automated semantic analysis of research output.
Core Expertise
Semantic Radar
Complete Taxonomic Profile
Artificial intelligence analyzes all abstracts and manuscript metadata to precisely map the consistency and weight of research fields.
Computer science100%
Artificial intelligence84%
Engineering37%
Geography26%
Machine learning26%
Computer vision21%
Pattern recognition (psychology)21%
Palm oil16%
Environmental science16%
Economics16%
Data mining16%
Archaeology16%
Support vector machine16%
Linguistics16%
Philosophy16%
No Co-Authored Relations Detected
Once publications with internal authors are synced, building the mapped network takes place automatically.
Global Collaborations & Top Areas
Interactive map showing the intensity of the author's research collaborations across the globe over the last five years.
Memuat peta kolaborasi…
Research Output
Features output statistics and 21 synchronized journal, conference, and book publications.
21 Works
ArticleSCOPUSOpen AccessSDG 22026
Stereo Vision-Based Detection and 3D Localization of Loose Oil Palm Fruits Using YOLOv8 and Hungarian Matching
Warni E.
ArticleSCOPUSOpen AccessSDG 52026
Usability Evaluation of “Ceritoke Bae,” an Android-Based Psycho-Counseling Application for Women with Infertility: A System Usability Scale Study
Suzanna S.
ArticleSCOPUSOpen Access2025
Deep Learning Approach in Seismology: Enhancing Earthquake Forecasting using K-Means Clustering and LSTM Networks
Wardhani T.P.M.
ArticleSCOPUSSDG 22025
Harnessing YOLO for Loose Fruits Detection: Boosting Productivity in Palm Oil Plantations
Warni E.
ArticleSCOPUSOpen Access2025
Enhancing Traffic Counting in Rainy Conditions: A Deep Learning Super Sampling and Multi-ROI Pixel Area Approach
Warni E.
ArticleSCOPUSOpen Access2025
Enhancing Flood Prediction in Urban Areas: A Machine Learning Approach for Makassar City
Rizal H.M.
ArticleSCOPUSOpen Access2025
Smart Detection of Sugarcane Leaf Rust Using UAV-Based Multispectral Imaging and Mask R-CNN
Warni E.
ArticleSCOPUSOpen Access2025
Comparative Performance Analysis of YOLO and Faster R-CNN in Detecting Species and Estimating the Weight of Grouper and Snapper Fish Using Digital Images
Sidehabi S.W.
ArticleSCOPUSSDG 22025
Comparative Analysis of Series YOLO Models for Loose Fruits Palm Oil Detection: A Comprehensive Performance Evaluation
Warni E.
Showing 1 to 10 of 21 works