Rancang bangun sistem pendeteksi emosi pada kalimat sastra dalam bahasa Indonesia dengan Convolutional Neural Network (CNN) dan Long Short-Term Memory (LSTM) = Design and development of emotion detection system in literature sentence in Indonesian language with Convolutional Neural Network(CNN) and long Short-Term Memory (LSTM)

Model Convolutional Long Short-Term Memory Deep Neural Network (CLDNN) Ringan untuk Klasifikasi Modulasi Otomatis = A Light Weight Convolutional Long Short-Term Memory Deep Neural Network for Automatic Modulation Classification

Analisis Kinerja Model Gabungan Convolutional Neural Network Dengan Long Short-Term Memory dan Gated Recurrent Unit untuk Analisis Sentimen Berbahasa Indonesia = Performance Analysis of Combined Convolutional Neural Network With Long Short-Term Memory and Gated Recurrent Unit Model on Sentiment Analysis in Indonesian Language

Analisis kinerja modifikasi model gabungan long short-term memory dan convolutional neural network untuk analisis sentimen berbahasa Indonesia = Performance analysis of modified combined long short-term memory and convolutional neural network model on sentiment analysis in Indonesian language

Pendeteksian Fase P pada Sinyal Gempa Bumi Menggunakan Pemodelan Convolutional Neural Network 1D (1D CNN) dan Long Short-Term Memory (LSTM) dengan Input Frekuensi Dominan. = Detection of P Phase in Earthquake Signals Using Convolutional Neural Network 1D (1D CNN) and Long Short Term Memory (LSTM) Modeling with Dominant Frequency as Input Feature.