Results 91 to 100 of about 113,907 (292)
Urban sound classification using artificial neural networks.
In this thesis the main goal was to compare artificial neural network classification capabilities in the context of urban sound classification. In this work, theoretical analysis related to artificial intelligence, machine learning, neural networks is ...
Gilys, Tomas,
core
HEART SOUND CLASSIFICATION VIA VISION TRANSFORMER MODELS
The automatic heart sound classification is an integral part of the early diagnosis of cardiovascular diseases(CVDs). Even though advances in medical technologies allow us to diagnose many CVDs, it remains one of the leading causes of death worldwide ...
Adilkhanuly, Zhanat
core
Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le +4 more
wiley +1 more source
Data from: Crowdsourcing training material for automated bird sound classification – a pilot study
Data from the manuscript "Crowdsourcing training material for automated bird sound classification – a pilot study" by Petteri Lehikoinen, Meeri Rannisto, Ulisses Camargo, Aki Aintila, Patrik Lauha, Esko Piirainen, Panu Somervuo & Otso ...
Rannisto, Meeri +7 more
core +1 more source
Modulus‐Switchable Miniature Robots for Biomedical Applications: A Review
Materials, robot designs, proof‐of‐concept functions, and biomedical applications of modulus‐switchable miniature robots. Miniature soft robots have shown great potential in biomedical applications due to their excellent controllability and suitable mechanical properties in biological environments.
Chunyun Wei, Yibin Wang, Jiangfan Yu
wiley +1 more source
The study of beamforming in sound classification optimization
Sound Classification is the process by which we assign the audio signals to one of a number of classes, based on their features we extract from them. During cross validation process, a sample of data is partitioned into complementary subsets. One subset (
Li, Xintong
core
Automatic adventitious respiratory sound analysis: A systematic review.
BackgroundAutomatic detection or classification of adventitious sounds is useful to assist physicians in diagnosing or monitoring diseases such as asthma, Chronic Obstructive Pulmonary Disease (COPD), and pneumonia.
Renard Xaviero Adhi Pramono +2 more
doaj +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
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
Codec Data Augmentation for Time-domain Heart Sound Classification
Heart auscultations are a low-cost and effective way of detecting valvular heart diseases early, which can save lives. Nevertheless, it has been difficult to scale this screening method since the effectiveness of auscultations is dependent on the skill ...
Yip, Jia Qi +2 more
core +1 more source
Robust audio sensing with multi-sound classification [PDF]
Audio data is a highly rich form of information, often containing patterns with unique acoustic signatures. In pervasive sensing environments, because of the empowered smart devices, we have witnessed an increasing research interest in sound sensing to ...
Ye, Juan +3 more
core +1 more source

