Device-free human activity recognition with low-resolution infrared array sensor using long short-term memory neural network

C Yin, J Chen, X Miao, H Jiang, D Chen - Sensors, 2021 - mdpi.com
Sensor-based human activity recognition (HAR) has attracted enormous interests due to its
wide applications in the Internet of Things (IoT), smart homes and healthcare. In this paper, a …

Visual neural decomposition to explain multivariate data sets

J Knittel, A Lalama, S Koch, T Ertl - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Investigating relationships between variables in multi-dimensional data sets is a common
task for data analysts and engineers. More specifically, it is often valuable to understand …

Human Activity Detection based on Infrared Array Sensor using Advanced Deep Learning Technique

DH Tran, H Nguyen, YM Jang - 2022 13th International …, 2022 - ieeexplore.ieee.org
Tracking the activities of elderly people is an important issue. To detect emergencies such
as falls so that loved ones can promptly handle them when they are not at home. In this …

Using Neural Network Decomposition to Estimate Field Photovoltaic Performance Loss Rate

Y Fan, R Wieser, X Yu, J Braid, A Shaton… - 2023 IEEE 50th …, 2023 - ieeexplore.ieee.org
Estimation of Photovoltaic (PV) Performance Loss Rate (PLR) becomes increasingly
important in the stage of rapid growth of PV industry. Accurate PLR estimation benefits PV …

[PDF][PDF] Forecasting Jumlah Penggunaan Obat Digestive Enzymes dengan Algoritma GRU

W Mojotengah - pdfs.semanticscholar.org
Medicines are widely used to prevent or cure diseases. One of the drugs that are often used
to relieve abdominal pain is a drug that contains Digestive Enzymes. Hospitals and other …

Sizing Techniques applied to Network Capacity Planning

CGC Romano, N Clivio… - 2018 IEEE Biennial …, 2018 - ieeexplore.ieee.org
Network capacity planning is a big issue in Communications Service Providers (CSP)
because it involves big annual investments mainly in the access networks, and the methods …

Adaptive methodology based on computational intelligence for time series modeling

JR Jiménez Mares - 2021 - manglar.uninorte.edu.co
Time series processes are important in several sectors like marketing, transport, energy,
telecommunications, etc. Time series forecasting tasks can help in operative and strategic …