Articles
Non-Gaussian Analysis of Herbarium Specimen Damageto Optimize Specimen Collection Management
Aris Yaman, Yulia Aris Kartika, Ariani Indrawati, Zaenal Akbar, Lindung P. Manik, Wita Wardani, Tutie Djarwaningsih, Taufik Mahendra, and Dadan R. Saleh
https://doi.org/10.17977/um018v5i12022p1-16
pp. 1 - 16Social Distancing Monitoring System using Deep Learning
Amelia Ritahani Ismail, Nur Shairah Muhd Affendy, and Asmarani Ahmad Puzi
https://doi.org/10.17977/um018v5i12022p17–26
pp. 17 - 26Automatic 3D Cranial Landmark Positioning based onSurface Curvature Feature using Machine Learning
Putu Hendra Suputra, Anggraini Dwi Sensusiati, Myrtati Dyah Artaria, Gijsbertus Jacob Verkerke, Eko Mulyanto Yuniarno, and I Ketut Eddy Purnama
https://doi.org/10.17977/um018v5i12022p27-40
pp. 27 - 40A Comparison of Machine Learning Models to Prioritise Emailsusing Emotion Analysis for Customer Service Excellence
Mohammad Yasser Chuttur and Yashinee Parianen
https://doi.org/10.17977/um018v5i12022p41-52
pp. 41 - 52Fish Image Classification using Transfer Learning Method withAdaptive Learning Rate
Rizka Suhana, Wayan Firdaus Mahmudy, and Agung Setia Budi
https://doi.org/10.17977/um018v5i12022p67-77
pp. 67 - 77Human Facial Expressions Identification using ConvolutionalNeural Network with VGG16 Architecture
Luther Alexander Latumakulita, Sandy Laurentius Lumintang, Deiby Tineke Salaki, Steven R. Sentinuwo, Alwin Melkie Sambul, and Noorul Islam
https://doi.org/10.17977/um018v5i12022p78-86
pp. 78 - 86The Effect of Resampling on Classifier Performance: anEmpirical Study
Utomo Pujianto, Muhammad Iqbal Akbar, Niendhitta Tamia Lassela, and Deni Sutaji
https://doi.org/10.17977/um018v5i12022p87-100
pp. 87 - 100Sentiment Analysis of Amazon Product Reviews usingSupervised Machine Learning Techniques
Naveed Sultan
https://doi.org/10.17977/um018v5i12022p101-108
pp. 101 - 108Optimized Three Deep Learning Models Based-PSO Hyperparameters for Beijing PM2.5 Prediction
Andri Pranolo, Yingchi Mao, Aji Prasetya Wibawa, Agung Bella Putra Utama, and Felix Andika Dwiyanto
https://doi.org/10.17977/um018v5i12022p53-66
pp. 53 - 66
