Results 91 to 100 of about 232,569 (291)
The prominent and early presence of dysphonia is considered a valuable marker for differentiation of idiopathic Parkinson's disease and parkinsonian syndromes.
Jan Hlavnicka +4 more
doaj +1 more source
Underwater Acoustic Signal Detection Using Calibrated Hidden Markov Model with Multiple Measurements. [PDF]
You H, Byun SH, Choo Y.
europepmc +1 more source
Signal Processing for the Detection of Acoustic Transients [PDF]
There is a variety of possible ways of classifying sounds. One approach, which is explored in this paper, is to use the first-order probability distribution. Specifically, a mathematical model is constructed, consisting of a family of first-order probability distributions with a parameter called the “distribution index,” with which to select a ...
openaire +1 more source
Cuttlebone‐inspired metamaterials exploit a septum‐wall architecture to achieve excellent mechanical and functional properties. This review classifies existing designs into direct biomimetic, honeycomb‐type, and strut‐type architectures, summarizes governing design principles, and presents a decoupled design framework for interpreting multiphysical ...
Xinwei Li, Zhendong Li
wiley +1 more source
This paper focuses on the wake-up signal detection design for underwater acoustic communication (UAC) terminals. A wake-up signal detection unit can considerably reduce the power consumption of the terminals.
Deqing Wang +4 more
doaj +1 more source
Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley +1 more source
Changepoint detection for acoustic sensing signals
This thesis considers the application of changepoint detection methodology for the analysis of acoustic sensing signals. In the first part, we propose a detection procedure for changes in the second-order structure of a univariate time series. This utilises a penalised likelihood based on Whittle’s approximation and allows for a non-linear penalty ...
Pickering, Benjamin +2 more
openaire +1 more source
Optoelectronic control of redox‐active polyoxometalate clusters in polymer matrices yields hybrid memristors with switchable volatile and non‐volatile modes, enabling reservoir‐type in‐sensor optical preprocessing and stable multilevel synapses for multimodal neuromorphic computing, including noise‐tolerant audiovisual keyword recognition and hardware ...
Xiangyu Ma +13 more
wiley +1 more source
Automated Detection and Classification of Cetacean Acoustic Signals
Cetaceans make an important use of acoustics to socialise, travel and hunt. Therefore, their monitoring via passive acoustics allows to increase our knowledge on these species, some of which are endangered. This approach generates large amounts of data which motivates the development of automatic procedures. Neural networks represent an opportunity for
openaire +2 more sources
The hidden role of Cd segregation at grain boundaries is revealed in p‐type Mg3Sb2 by atom probe tomography and other advanced characterizations. Grain boundary Cd enrichment suppresses the SbMg+ hole‐killer formation and lowers potential barriers, enhancing electrical conductivity.
Zhou Li +12 more
wiley +1 more source

