Results 51 to 60 of about 118,918 (257)
Accurate Indoor Home Location Classification through Sound Analysis: The 1D-ILQP Approach
Firat University Journal of Experimental and Computational EngineeringDetecting human activities within domestic environments constitutes a fundamental challenge in machine learning. Conventionally, sensors and video cameras served as primary tools for human activity detection.
Sengul Dogan +4 more
doaj +1 more source
IEEE Access, 2020 Recently, with the rapid growth of Deep Learning models for solving complicated classification problems, urban sound classification techniques have been attracted more attention.
Khac-Hoai Nam Bui +2 more
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Beilstein Journal of Nanotechnology, 2023 This paper describes a method for preparing flexible composite piezoelectric nanofilms of P(VDF-TrFE)/ZnO/graphene using a high-voltage electrospinning method. Composition and β-phase content of the piezoelectric composite films were analyzed using X-ray
Yi Luo +5 more
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Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Structural and Statistical Audio Texture Knowledge Distillation for Acoustic Classification
IEEE AccessWhile knowledge distillation (KD) has shown success in various audio tasks, its application to environmental sound classification often overlooks essential low-level audio texture features needed to capture local patterns in complex acoustic environments.
Jarin Ritu +4 more
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PROTAX-Sound: A probabilistic framework for automated animal sound identification.
PLoS ONE, 2017 Autonomous audio recording is stimulating new field in bioacoustics, with a great promise for conducting cost-effective species surveys. One major current challenge is the lack of reliable classifiers capable of multi-species identification.
Ulisses Moliterno de Camargo +2 more
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Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Decoding multiple sound categories in the human temporal cortex using high resolution fMRI. [PDF]
PLoS ONE, 2015 Perception of sound categories is an important aspect of auditory perception. The extent to which the brain's representation of sound categories is encoded in specialized subregions or distributed across the auditory cortex remains unclear.
Fengqing Zhang +4 more
doaj +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
Advanced Engineering Materials, EarlyView.An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source