LSTM network for transportation mode detection

S Kumar, A Damaraju, A Kumar, S Kumari… - Journal of Internet …, 2021 - jit.ndhu.edu.tw
Abstract The study of Transportation Mode Detection (TMD) has become a popular research
field in recent years. It will be a crucial part of Smart mobility and Smart cities in upcoming …

Context-adaptive intelligent agents behaviors: multivariate LSTM-based decision making on the cryptocurrency market

D Kanzari - International Journal of Data Science and Analytics, 2023 - Springer
Modeling human behavior offers substantial benefits to decision support systems, especially
in intricate and ever-changing domains like the stock market. Such modeling allows for the …

Predicting macro-financial instability–How relevant is sentiment? Evidence from long short-term memory networks

D Kanzari, MS Nakhli, B Gaies, JM Sahut - Research in International …, 2023 - Elsevier
This paper examines the relevance of sentiment in predicting overall financial system
instability using long-run short-term memory networks. Weekly data on the US financial …

Comparison of Machine Learning Algorithms for Classification of Drug Groups

P Purwono, A Wirasto, K Nisa - Sisfotenika, 2021 - sisfotenika.stmikpontianak.ac.id
The stages of clinical trials need to be carried out when determining a new drug group for
patient management. This stage is considered quite long and requires a lot of money …

Spatial prediction of temporary and permanent hardness concentrations in groundwater based on chemistry parameters by artificial intelligence

M Mousavi, F Qaderi, A Ahmadi - International Journal of Environmental …, 2023 - Springer
Considering the role of water in human health, its quality must be inspected. For the
development of management programs to control groundwater quality on a large scale, due …

4G LTE network data collection and analysis along public transportation routes

H Elsherbiny, AM Nagib, H Abou-zeid… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
With the advancements in wireless network technologies over the past few decades and the
deployment of 4G LTE networks, the capabilities and services provided to end-users have …

[PDF][PDF] A New Respiratory Diseases Detection Model in Chest X-Ray Images Using CNN.

İ Avcı, A Alzabaq - Traitement du Signal, 2023 - researchgate.net
Accepted: 10 February 2023 Convolutional Neural Network (CNN)-based deep learning
techniques have recently demonstrated increased potential and effectiveness in image …

Implementation of Gated Recurrent Unit, Long Short-Term Memory and Derivatives for Gold Price Prediction

AI Putri, Y Syarif, NR Aisyi… - Public Research Journal of …, 2025 - journal.irpi.or.id
Gold is a precious metal with high resale value, often considered a safe investment as its
price typically rises with inflation, attracting investors. However, even slight changes in gold …

[HTML][HTML] Applications of Artificial Intelligence in Temporal Bone Imaging: Advances and Future Challenges

DP Petsiou, A Martinos, D Spinos - Cureus, 2023 - ncbi.nlm.nih.gov
The applications of artificial intelligence (AI) in temporal bone (TB) imaging have gained
significant attention in recent years, revolutionizing the field of otolaryngology and radiology …

Pengenalan Wajah dengan Algoritma Support Vector Machine dan Sobel Edge Detection Berbasis Computer Vision dan Caffe Framework

MS Hidayatulloh, AY Permana… - Jurnal Ilmiah …, 2020 - ejournal.jak-stik.ac.id
Dalam penelitian ini, merumuskan masalah bagaimana menerapkan algoritma support
vector machine dan ekstraksi fitur edge detection dengan metode sobel dalam melakukan …