Results 101 to 110 of about 22,071 (254)
Diagnosis of Portal Hypertension: Advancing Towards Non‐Invasive Solutions
Portal Hypertension &Cirrhosis, EarlyView.This review systematically summarizes a full spectrum of non‐invasive diagnostic approaches for portal hypertension (PH), including imaging modalities, elastography, serum biomarkers, composite scoring systems and endoscopic ultrasound‐guided portal pressure gradient (EUS‐PPG), and analyzes their performance across different liver disease etiologies ...
Lijia Yin, Huikuan Chu, Ling Yang
wiley +1 more source
Deep Learning based models for Forest Fires Prediction in Algeria
Algerian Journal of Signals and SystemsAutomatic prediction and detection of forest fires is an important field of research that contributes to disaster mitigation. Deep learning (DL) approach has emerged as a successful approach in forest fires detection and prediction, having a high ...
ABID FAROUDJA, Dalila LAZIB
doaj +1 more source
Neural Network‐Based Runtime Monitoring and Control for Unknown Nonlinear Systems
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT Real‐time system monitoring and stabilization become especially challenging when the system dynamics are unknown. This article introduces a novel design for monitoring and stabilizing unknown nonlinear systems with measurement noise. The design utilizes a generic modelling framework by decomposing the system into a known tunable linear ...
Jianglin Lan, Xianxian Zhao, Ron Patton
wiley +1 more source
Sliding Mode Control and Observation for Upper Limb Robotics Rehabilitation
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT Stroke is a leading cause of upper limb motor impairments, which often require rehabilitation. General purpose robotic manipulators enable effective therapy through exercises such as Center Out Point‐to‐Point (CO‐PTP) and Teach‐and‐Track (TT), which respectively demand accurate estimation and rejection of the interaction force exerted by the ...
Antonella Ferrara +2 more
wiley +1 more source
Robotics for Crop Pollination: Recent Advances and Future Direction
Journal of Field Robotics, EarlyView.ABSTRACT There is great interest in alternative pollination strategies for crop production in the face of climate change and perennial threats to the traditional pollination mechanisms. This review explores the potential of robotic pollination as a promising solution to these challenges affecting crop fertilization, agricultural sustainability, and ...
Ranjan Sapkota +3 more
wiley +1 more source
Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
SmartBot, EarlyView.Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo +2 more
wiley +1 more source
Synthesis of Amorphous‐Crystalline Mixture Boron Nitride for Balanced Resistive Switching Operation
Small, EarlyView.An amorphous–crystalline mixture BN (acm‐BN) is synthesized through low‐pressure chemical vapor deposition, achieving balanced resistive switching with low SET voltage and stable RESET. High‐resolution transmission electron microscopy reveals that BN films are fully amorphous at 930 °C, a mixed amorphous–crystalline phase is achieved at 990 °C.
Kyung Jin Ahn +8 more
wiley +1 more source
Deciphering Molecular Charge Anisotropy: The Case of Antibody Solutions
Small, EarlyView.Molecular charge anisotropy emerges as a key determinant of antibody solution behavior. A multiscale framework combining electrostatic mapping, coarse‐grained simulations, and machine‐learning‐assisted optimization identifies charge patterns that reproduce experimental structure factors and predict collective properties across concentration, revealing ...
Fabrizio Camerin +4 more
wiley +1 more source
Universal Approximation and the Topological Neural Network
IEEE AccessA topological neural network (TNN), which takes input data from a Tychonoff topological space instead of the usual finite dimensional space, is introduced.
Michael A. Kouritzin, Daniel Richard
doaj +1 more source