Results 71 to 80 of about 14,397 (266)

Enhanced Jitter Analysis and Minimization for Digital PLLs With Mid-Rise TDCs and its Impact on Output Phase Noise [PDF]

, 2023
Xu Wang, Michael Peter Kennedy
openalex   +1 more source

K‐CC‐MoCo: A Fast k‐Space‐Based Respiratory Motion Correction for Highly Accelerated First‐Pass Perfusion Cardiovascular MR

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose First‐pass perfusion cardiovascular MR (FPP‐CMR) enables the non‐invasive diagnosis of microcirculation and coronary artery disease. In free‐breathing FPP‐CMR, motion correction is usually performed in the image domain, requiring an initial reconstruction.
Elisa Moya‐Sáez, Rosa‐María Menchón‐Lara, Javier Sánchez‐González, Catarina N. Carvalho, Andreia S. Gaspar, Carlos Real, Carlos Galán‐Arriola, Rita G. Nunes, Borja Ibanez, Teresa M. Correia, Carlos Alberola‐López   +10 more
wiley   +1 more source

Feasibility of High‐Density Surface Electromyography for the Detection of Neuromuscular Disorders in Children

Muscle &Nerve, EarlyView.
ABSTRACT Introduction/Aims Diagnosing neuromuscular disorders in children is challenging. Concentric needle electromyography (CNEMG) is the standard for electrophysiological assessments but has limitations in pediatric populations. High‐density surface electromyography (HDsEMG) provides a noninvasive technique with superior spatial resolution, enabling
Eduardo Martinez‐Valdes, Ignacio Contreras‐Hernandez, Ragul Selvamoorthy, Francesco Negro, Andrew Lawley   +4 more
wiley   +1 more source

Interpretable CRAM‑Enhanced Lightweight Dual‑Branch CNN for Real‑Time Breast Cancer Histopathology in Internet‑of‑Medical‑Things Environments

Small, EarlyView.
This study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Roseline Oluwaseun Ogundokun, Rotimi‐Williams Bello, Pius Adewale Owolawi, Rytis Maskeliūnas, Abdulsatar Abduljabbar Sultan   +4 more
wiley   +1 more source

The Effect of COVID‐19 on Voice Quality: A Systematic Review

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objectives To determine the effect of COVID‐19 on voice by evaluating acoustic, aerodynamic, auditory‐perceptual, and patient‐reported measurements for COVID‐19 patients compared to controls. Data Sources A systematic review was conducted using PubMed and Embase.
Angelica M. Mangahas, Marcus Chang, Inna A. Husain   +2 more
wiley   +1 more source

Hand Jitter Reduction Algorithm Software Test Automation Using Robotic Arm

IEEE Access, 2018
Hand jitter reduction (HJR) is an algorithm developed to offset the jitter effect caused by camera users. The hand jitter algorithm can be added and implemented in digital signal processing using hardware acceleration to execute these noise reduction ...
Debdeep Banerjee, Kevin Yu, Garima Aggarwal   +2 more
doaj   +1 more source

Artificial Intelligence in Voice Disorders: Current Landscape, Emerging Applications and Future Directions

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To provide a comprehensive review of the current landscape of artificial intelligence (AI) applications in voice disorder, with emphasis on emerging applications, limitations, and future directions for clinical integration. Methods Literature review.
Rachel B. Kutler, Anaïs Rameau
wiley   +1 more source

Corrections to “Mode Partition Noise and Modal-Chromatic Dispersion Interaction Effects on Random Jitter” [Aug 13 2629-2638] [PDF]

, 2013
José M. Castro, Rick Pimpinella, Bülent Köse, Brett Lane   +3 more
openalex   +1 more source

YOLO‐GDCNN: Real‐Time Operating Point Detection for Live Working Robots in the Power Industry

High Voltage, EarlyView.
ABSTRACT In the power industry maintenance, the capability of live working robots to detect and operate with power components in real time is paramount. This paper proposes a cascaded detection framework for real‐time detection of live working operation points, named YOLO‐GDCNN. The framework consists of two parts.
Haoning Zhao, Jiamin Guo, Erbao Dong, Rui Guo, Linkun Zhao, Chaoqun Wang, Xuewen Rong, Yibin Li   +7 more
wiley   +1 more source

Accurate Noise Source Separation in Pulse-Frequency Modulation-Controlled Power Converters Using Asynchronous Near-Field and Far-Field Measurement Analysis

IEEE Access
Aperiodic spike noise signals generated by pulse–frequency modulation (PFM)-controlled direct-current (DC)–DC converters introduce random jitter into the switching timing, rendering it challenging to isolate individual power supply noise ...
Hiroyasu Sano, Kenta Umebayashi, Satoshi Suzuki, Hidekatsu Sasaki, Yasuaki Kaneda   +4 more
doaj   +1 more source