Penerapan Model Deep Learning MobileNet Menggunakan Raspberry Pi untuk Klasifikasi Mata Tertutup dan Terbuka bagi Pengendara Mobil = Application of Deep Learning Model MobileNet using Raspberry Pi for Classifying Car Driver’s Eye State

Pengembangan Model Deep Learning dengan Metode Ensemble untuk Klasifikasi Objek Sampah = Development of Deep Learning Model with Ensemble Method for Classification of Waste Objects

Pengembangan Model Deteksi Penyakit Kulit Pada Hewan Peliharaan Menggunakan Teknik Image Processing Dan Deep Learning = Development Of Detection Model For Skin Diseases In Pets Using Image Processing And Deep Learning Techniques

Text Classification untuk Verifikasi Fakta pada Kanal Berita Bahasa Indonesia menggunakan Deep Learning dengan Ensemble Technique = Text Classification for Fact Verification for Indonesian News Channel Using Deep Learning with Ensemble Technique

Pengembangan Model Pengukuran Vital Sign Berbasis Deep Learning dengan Data Imaging Photoplethysmography = Development of a Vital Sign Measurement Model Based on Deep Learning with Imaging Photoplethysmography Data