Peningkatan efisiensi dan akurasi klasifikasi tekanan darah non-invasive menggunakan metode photoplethysmograpys pulse wave analysis berbasis deep learnings bidirectional long short term memory dan time frequency analysis = Effiency and accuracy improvement of non invasive blood pressure classification of blood pressure based on photoplethysmographs signals using deep learnings bidirectional long short-term memory and time-frequency analysis / Hendrana Tjahjadi

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.

Analisis kinerja lifelong learning menggunakan model gabungan convolutional neural network dan long short-term memory pada permasalahan analisis sentimen = Analysis of performance lifelong learning using the combined convolutional neural network and long short-term memory model on sentiment analysis in indonesian language

Deteksi Aktivitas Jatuh Pada Dataset Multimodal Menggunakan Arsitektur Convolutional Neural Network Dan Long Short Term Memory = Fall Detection on Multimodal Dataset using Convolutional Neural Netwok and Long Short Term Memory

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