Results 71 to 80 of about 132,661 (296)

Cap‐oPMN: Oral Inflammatory Load Quantification Using Capillary Microfluidics and Automated Image Processing

open access: yesAdvanced Materials Technologies, EarlyView.
ABSTRACT Quantifying oral polymorphonuclear neutrophils (oPMNs) is a clinically validated approach for assessing periodontal inflammation. However, current methods, such as manual hemocytometry and flow cytometry, are time‐consuming (>3 h), require invasive sampling, and depend on staining and complex instrumentation, making them unsuitable for point ...
Mohsen Hassani   +9 more
wiley   +1 more source

The Assessment of Acoustical Characteristics for Recent Mosque Buildings in Erbil City of Iraq

open access: yesARO-The Scientific Journal of Koya University, 2021
The study of mosque acoustics, concerning acoustical features, sound quality for speech intelligibility, and additional practical acoustic criteria, is commonly overlooked.
Dawa A. A. Masih   +3 more
doaj   +1 more source

Mapping of Physiological Signals From Wireless Battery‐Free Implants With Plane‐Wave Ultrasound Imaging

open access: yesAdvanced Materials Technologies, EarlyView.
Combined approach of electromagnetic (Power) and ultrasound (data harvesting) waves is proposed to address the miniaturized ultrasonic implants. Electromagnetic waves trigger the piezoelectric element to generate the acoustic pulse which is modulated by the variations in the sensor's impedance.
Anam Bhatti   +6 more
wiley   +1 more source

Cross-Dataset Head-Related Transfer Function Harmonization Based on Perceptually Relevant Loss Function

open access: yesIEEE Open Journal of Signal Processing
Head-Related Transfer Functions (HRTFs) play a vital role in binaural spatial audio rendering. With the release of numerous HRTF datasets in recent years, abundant data has become available to support HRTF-related research based on deep learning. However,
Jiale Zhao, Dingding Yao, Junfeng Li
doaj   +1 more source

Multiple Source Localization in a Shallow Water Waveguide Exploiting Subarray Beamforming and Deep Neural Networks

open access: yesSensors, 2019
Deep neural networks (DNNs) have been shown to be effective for single sound source localization in shallow water environments. However, multiple source localization is a more challenging task because of the interactions among multiple acoustic signals ...
Zhaoqiong Huang   +4 more
doaj   +1 more source

Broadband DOA estimation using Convolutional neural networks trained with noise signals

open access: yes, 2017
A convolution neural network (CNN) based classification method for broadband DOA estimation is proposed, where the phase component of the short-time Fourier transform coefficients of the received microphone signals are directly fed into the CNN and the ...
Chakrabarty, Soumitro   +1 more
core   +1 more source

Hierarchical Multi‐Material Architectures With Gradient Design for Dynamic‐Range Flexible Tactile Sensing

open access: yesAdvanced Materials Technologies, EarlyView.
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi   +3 more
wiley   +1 more source

Brittany Bernal - Sensorimotor Adaptation of Speech Through a Virtually Shortened Vocal Tract [PDF]

open access: yes, 2014
The broad objective of this line of research is to understand how auditory feedback manipulations may be used to elicit involuntary changes in speech articulation.
Bernal, Brittany A.
core   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

open access: yesAdvanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng   +5 more
wiley   +1 more source

Deep Dynamic Network Embedding for Link Prediction

open access: yesIEEE Access, 2018
Network embedding task aims at learning low-dimension latent representations of vertices while preserving the structure of a network simultaneously. Most existing network embedding methods mainly focus on static networks, which extract and condense the ...
Taisong Li   +4 more
doaj   +1 more source

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