Advanced Intelligent Systems, EarlyView.Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi +4 more
wiley +1 more source
Rice Price Prediction with Long Short-Term Memory (LSTM) Neural Network
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Rice is a crucial commodity, especially in countries that rely on rice as a staple food. Fluctuations in rice prices can impact inflation, purchasing power, and economic stability. Therefore, an effective method for forecasting rice prices is essential for timely decision-making.
Rahmat Hidayat, Irawan Wibisonya
openaire +3 more sources
Multi‐Stage Social Value Orientation‐Based Lane‐Changing Driving for Autonomous Vehicles
Advanced Intelligent Systems, EarlyView.A multi‐stage SVO framework is developed to dynamically infer the social preferences of surrounding vehicles from human driving data. By combining offline learning, online SVO estimation, temporal intention tracking, and interaction‐aware planning, the framework enables autonomous vehicles to adapt lane‐changing decisions and trajectories to evolving ...
Nongrui Qin +4 more
wiley +1 more source
Retracted: Optimization Algorithm of Tourism Security Early Warning Information System Based on Long Short-Term Memory (LSTM). [PDF]
Comput Intell Neurosci, 2023 Intelligence And Neuroscience C.
europepmc +1 more source
Implementasi Model Long Short Term Memory (LSTM) Pada Proyeksi Harga Saham (Studi Kasus: PT. Pertamina Geothermal Energy (Persero)) [PDF]
This research presents a comprehensive analysis of the Long Short Term Memory (LSTM) method in projecting the stock price of PT. Pertamina Geothermal Energy (Persero).
Yahya, Irma +6 more
core +1 more source
An Attention-based Model for Recognition of Facial Expressions Using CNN-BiLSTM
Polytechnic JournalIn recent studies, computer vision and human-computer interaction have focused heavily on facial expression recognition (FER). Traditional deep learning algorithms have faced significant challenges when processing images with occlusion, uneven lighting ...
Sushil Kumar Singh +4 more
doaj +1 more source
Forecasting of Covid-19 positive cases in Indonesia using long short-term memory (LSTM). [PDF]
Procedia Comput Sci, 2023 Sunjaya BA, Permai SD, Gunawan AAS.
europepmc +1 more source
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT Air pollution from sulfur dioxide (SO2) emissions poses significant threats to environmental sustainability, public health, and climate change efforts. Despite advances in monitoring and regulatory frameworks, traditional methods often fall short in accuracy, scalability, and efficiency.
Turkan Kopac
wiley +1 more source
An Advanced Long Short-Term Memory (LSTM) Neural Network Method for Predicting Rate of Penetration (ROP). [PDF]
ACS Omega, 2023 Ji H, Lou Y, Cheng S, Xie Z, Zhu L.
europepmc +1 more source
Integrating Long Short-Term Memory and Genetic Algorithm for Short-Term Load Forecasting
, 2019 Electricity load forecasting is an important task for enhancing energy efficiency and operation reliability of the power system. Forecasting the hourly electricity load of the next day assists in optimizing the resources and minimizing the energy wastage.
Arpita Samanta Santra +2 more
core +1 more source