Influenza-Like Illness Forecasting Using Multisource Data: Comparative Deep Learning Study. [PDF]
Dang C +9 more
europepmc +1 more source
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li +4 more
wiley +1 more source
Deep learning-based multi-class misbehavior classification in fog-enabled vehicular ad hoc networks. [PDF]
Kamal H, Haikal AY, Saafan MM.
europepmc +1 more source
This paper presents temporal and adaptive‐frequency network with MixStyle (TAMNet), a deep time‐series modeling framework for accurate and robust multi‐well oil productivity forecasting. TAMNet integrates transformer and long short‐term memory architectures to capture both short‐ and long‐term temporal dependencies, enhanced by a temporal gate unit ...
Chunxi Yang +6 more
wiley +1 more source
Stability-aware LSTM-MPC framework for personalized levothyroxine dosing in Hashimoto's thyroiditis. [PDF]
Sharma R +3 more
europepmc +1 more source
Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie +10 more
wiley +1 more source
Physics-guided residual learning for phase-aware UAV trajectory prediction in urban environments. [PDF]
Islam MA, Förster S, Zhang T, Fricke H.
europepmc +1 more source
LSTM-KAN: Revolutionizing Indoor Visible Light Localization with Robust Sequence Learning
LSTM-KAN: Revolutionizing Indoor Visible Light Localization with Robust Sequence ...
S Yu (7291433) +7 more
core
Detection of focal impaired awareness seizures using a biometric shirt
Abstract Objective In recent years, seizure detection using wearable technology has gained significant attention in research. Most studies, however, have focused on detecting generalized or focal to bilateral tonic–clonic seizures. This study evaluates the feasibility of using a biometric shirt to detect focal impaired awareness seizures (FIAS) by ...
Jérôme St‐Jean +6 more
wiley +1 more source
Time-Aware and Power-Law Retention Gating Mechanisms in LSTMs for Irregularly Sampled Sensor Data: A Survey. [PDF]
Das D +4 more
europepmc +1 more source

