Results 71 to 80 of about 276,034 (269)
ABSTRACT To address the issues of neglecting the spatiotemporal correlations among process variables, low‐level features are vulnerable to noise interference, and the gradual loss of key information layer by layer during deep network training in traditional stacked autoencoder‐based soft‐sensor models, this paper proposes a hierarchical complementary ...
Xiaoping Guo, Jinghong Guo, Yuan Li
wiley +1 more source
EGMA: Ensemble Learning-Based Hybrid Model Approach for Spam Detection
Spam messages have emerged as a significant issue in digital communication, adversely affecting users’ mental health, personal safety, and network resources.
Yusuf Bilgen, Mahmut Kaya
doaj +1 more source
Abstract In birds, the neural canal houses a variety of anatomical structures including the spinal cord, meninges, spinal vasculature, and respiratory diverticula. Among these, paramedullary diverticula and the extradural dorsal spinal vein may leave behind osteological correlates in the form of pneumatic foramina and fossae, and a bilobed geometry of ...
Jessie Atterholt +5 more
wiley +1 more source
Classification of User Expressions on Social Media Using LSTM and GRU Models
Social media serves as a platform for sharing information. Through social media, users can interact with others and express their feelings and emotions. Therefore, emotion analysis plays a crucial role in understanding users' conditions regarding various
I Gede Putra Mas Yusadara +1 more
doaj +3 more sources
Abstract Aim Tacrolimus dosing in the early post‐kidney transplant period is challenging due to a narrow therapeutic index and substantial interindividual pharmacokinetic (PK) variability. This study aimed to develop and validate mechanism‐informed machine learning (ML) models to support individualized tacrolimus dosing during this critical period ...
Hui Yu +4 more
wiley +1 more source
Abstract Artificial intelligence and automation are no longer just buzzwords in the biopharmaceutical industry. The manufacturing of a class of biologics, comprising monoclonal antibodies, cell therapies, and gene therapies, is far more complex than that of traditional small molecule drugs.
Shyam Panjwani, Hao Wei, John Mason
wiley +1 more source
GRU–Transformer: A Novel Hybrid Model for Predicting Soil Moisture Content in Root Zones
The accurate measurement of soil moisture content emerges as a critical parameter within the ambit of agricultural irrigation management, wherein the precise prediction of this variable plays an instrumental role in enhancing the efficiency and ...
Wengang Zheng +6 more
semanticscholar +1 more source
Interfacial Ru–O–W Orbital Coupling Enables Lattice Oxygen Stabilization for Enhanced Acidic OER
A RuO2/WO3 electrocatalyst with strong interfacial Ru–O–W bonds exhibits optimized Ru–O interactions, enhancing intrinsic activity and stability for acidic OER. The WO3 support modulates the electronic structure of RuO2 and promotes oxo‐intermediate deprotonation, delivering a low overpotential of 203 mV at 10 mA cm−2 and sustained operation beyond 200
Tongzhou Wang +9 more
wiley +1 more source
A Man in the Spotlight: Oleg Penkovsky and His Allegiance to the West [PDF]
Prior to the 1962 Cuban Missile Crisis, a GRU officer named Oleg Penkovsky attempted to contact the West multiple times. He did it to such an extent that initially he was regarded as a provocateur.
Alin DREPTATE
doaj
The study developed a PVDF/SiO2 humidity sensor with superhydrophobic properties and integrated the humidity sensor into the intelligent powered air‐purifying respirator (IPAPR) for breath monitoring. Coupled with the Gated Recurrent Unit (GRU) machine learning prediction algorithm, it enables feedforward control of the fan to achieve respiratory ...
Xinjian He +9 more
wiley +1 more source

