Results 191 to 200 of about 151,921 (279)

Vestibular Dysfunction in Parkinson's Disease: A Systematic Review of Signs and Symptoms

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Despite the growing interest in the link between Parkinson's disease (PD) neuropathology and vestibular system, there is still a lack of consensus about the presence of vestibular dysfunctions in PD. Objective This review aims to identify vestibular signs and symptoms reported in PD patients and to summarize and critically appraise ...
Francisco Rosado‐Martins, Beatriz Santos, Cláudia M. Costa, Tiago Eça, Raquel Bouça‐Machado, Joaquim J. Ferreira   +5 more
wiley   +1 more source

NF-MORL: a neuro-fuzzy multi-objective reinforcement learning framework for task scheduling in fog computing environments. [PDF]

Sci Rep
Yu X, Tang L, Mi J, Long L, Qin X, Li X, Mo Q.   +6 more
europepmc   +1 more source

Computer Vision Analysis for Objective Motor Assessment in Parkinson's Disease: A Retrospective Study

Movement Disorders Clinical Practice, EarlyView.
Abstract Background The Movement Disorder Society‐Unified Parkinson's Disease Rating Scale‐Part III (MDS‐UPDRS‐III) is subjective and insensitive to subtle changes in patients with Parkinson's disease (PD). Computer vision (CV) can extract objective kinematics from routine outpatient videos, potentially augmenting the accuracy of the motor assessment ...
Pasquale Maria Pecoraro, Luca Marsili, Antonio Cannavacciuolo, Kevin R. Duque, Jesus Abanto, Jennifer Sharma, Jennifer Scheler, Heba A. Deraz, Lauren Wingler, Vincenzo Di Lazzaro, Alberto J. Espay, Lazzaro di Biase, Matteo Bologna   +12 more
wiley   +1 more source

Enhancing urban traffic congestion prediction through efficientnet and optimized ensemble learning models. [PDF]

Sci Rep
Vatambeti R, Reddy NVR, Ibrahim SHS, Kocherla R, Shareef SK, Yerragudipadu S, Jagadesh BN.   +6 more
europepmc   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source

Research on complex financial decision making driven by geometric aggregation and intelligent optimization of high-dimensional expert information. [PDF]

Sci Rep
Qian Y, Qiu J, Li C, Liu Y, Niu M, Chen S.   +5 more
europepmc   +1 more source

Jointly Learned 3D Non‐Cartesian Sampling With Wave Encoding and Reconstruction for Neurovascular Phase Contrast MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop accelerated 3D phase contrast (PC) MRI using jointly learned wave encoding and reconstruction. Methods Pseudo‐fully sampled neurovascular 4D flow data (N = 40) and a simulation framework were used to learn phase encoding locations, wave readout parameters, and model‐based reconstruction network (MoDL) for a rapid 3D PC scan (
Chenwei Tang, Brock W. Jolicoeur, James Rice, Caroline A. Doctor, Zaynab S. Yardim, Leonardo A. Rivera‐Rivera, Laura B. Eisenmenger, Kevin M. Johnson   +7 more
wiley   +1 more source

Six degree of freedom quadcopter stabilization using self adaptive bonobo Pareto multi objective FLC with processor in the loop validation. [PDF]

Sci Rep
Benhammou A, Hartani MA, Hashim FA, Alayed W.   +3 more
europepmc   +1 more source

Motion‐ and Field‐Robust Mesoscopic Whole‐Brain T2*$$ {T}_2^{\ast } $$‐Weighted Imaging at 7 and 11.7 T Using Servo Navigation

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To mitigate artifacts related to motion and field changes in high‐resolution T2*$$ {T}_2^{\ast } $$‐weighted human brain imaging using servo navigation at ultra‐high fields up to 11.7 T. Methods MR‐based servo navigators were integrated into a segmented 3D‐EPI sequence to allow for prospective correction of involuntary head motion and ...
Matthias Serger, Rüdiger Stirnberg, Philipp Ehses, Malte Riedel, Thomas Ulrich, Caroline Le Ster, Franck Mauconduit, Vincent Gras, Alexis Amadon, Alexandre Vignaud, Son Chu, Shajan Gunamony, Maxim Zaitsev, Nicolas Boulant, Klaas P. Pruessmann, Tony Stoecker   +15 more
wiley   +1 more source

Multiple trajectory optimization and control of robotic agents using hybrid fuzzy embedded artificial intelligence technique for multi target problems. [PDF]

Sci Rep
Kumar S, Pandey KK, Parhi DR, Muni MK.
europepmc   +1 more source