Results 151 to 160 of about 29,645 (311)
Voice and Speech in Atypical Parkinsonian Disorders
Background Motor speech disorders are early, common, and functionally limiting features of atypical parkinsonian disorders (APDs) such as progressive supranuclear palsy (PSP), corticobasal syndrome (CBS), and multiple system atrophy (MSA). These impairments are underrecognized and undertreated in neurology clinics.
Federico Rodriguez‐Porcel +48 more
wiley +1 more source
USAGE OF COMPUTERISED MEANS IN VOCAL ASSESSMENT
This study investigates implementation of new technologies in vocal assessment pertaining to university degree artistic education. One of our objectives represents the collection of information regarding changes occurring in singing voice as a result of
Ana RUSU
doaj
Fault Detection of Electric Motors via Symmetrized Dot Pattern‐Based Features
ABSTRACT This study proposes a novel symmetrized dot pattern (SDP) approach using designed SDP‐based features, extracted from transformed vibration signals, for fault detection. These features describe the compactness, inclination, and shape of the “snowflake” diagram distributions.
Mario Spirto +6 more
wiley +1 more source
Near‐resonant excitation of the Adriatic barotropic modes: The seiche events of December 2019
This study examines severe flooding in the northern Adriatic Sea in December 2019, which existing forecasting systems failed to predict. Analysis of wind and sea‐level data, alongside reanalysis datasets and a high‐resolution hydrodynamic model, revealed a wind‐induced resonance mechanism.
Marco Bajo +3 more
wiley +1 more source
An autonomous network of acoustic detectors to map tiger risk by eavesdropping on prey alarm calls
Tiger population recovery brings with it increased fatalities from human‐tiger conflict. We describe a network of autonomous intelligent passive acoustic sensors that monitor the forest for deer alarm calls as a proxy for tiger risk and provide a risk map to local communities in real‐time.
Arik Kershenbaum +9 more
wiley +1 more source
Rhyming in the cold: first evidence of soniferous fishes in the Southern Ocean
The acoustic ecology of Southern Ocean fishes remains unknown due to a lack of dedicated acoustic research on the fishes of this ocean. Passive acoustic monitoring data were collected at the South African sub‐Antarctic Prince Edward Islands using an underwater acoustic recorder, and towed underwater Ski‐Monkey cameras were deployed to identify fish ...
Fannie W. Shabangu +5 more
wiley +1 more source
Wavelet-Analysis of Cardiosignals Using Matlab
This article is devoted to the problem of accurate detection of cardiosignal QRS-complexes for early diagnosis of various diseases of human cardiovascular system.
B. F. Badalyan +2 more
doaj
Multi‐Platform Deployments of Low‐Cost Devices for Cetacean Passive Acoustic Monitoring
Recent advances in affordable, user‐friendly devices offer new opportunities to overcome cost constraints of underwater passive acoustic monitoring (PAM) and expand acoustic data collection. In this study, we deployed low‐cost acoustic recorders and underwater cameras across a range of platforms in the Western Mediterranean, including fishing gear ...
Greta Jankauskaite +8 more
wiley +1 more source
Spectrogram-based Deep Learning Approach for Anomaly Detection from Cough Sounds
Artificial intelligence is now applied in many fields beyond computer science. In healthcare, it enables early disease detection and improves patient outcomes. This study develops a model that uses AI to find abnormal patterns in cough sounds. A cough is
Tuncer, Turker +3 more
core +1 more source
Passive Acoustic Identification of Social Groups in the Hainan Gibbon
Passive acoustic monitoring offers a non‐invasive means of assessing visually hard‐to‐survey wildlife species with distinctive vocalizations. We evaluated whether deep learning can identify Hainan gibbon (Nomascus hainanus) social groups from their calls.
Emmanuel Kabuga +14 more
wiley +1 more source

