Results 51 to 60 of about 466 (155)

Sound recognition method of an anti-UAV system based on a convolutional neural network

工程科学学报, 2020
With the rapid growth of the UAV market, UAVs have been widely used in aerial photography, agricultural plant protection, power inspection, forest fire prevention, high-altitude fire fighting, emergency communication, and UAV logistics.
Shan XUE, Guang-qing LI, Qiong-ying LÜ, Yi-wei MAO   +3 more
doaj   +1 more source

Enhancement of filament wound glass fiber/epoxy-based cylindrical composites by toughening with single-walled carbon nanotubes

Polymers and Polymer Composites, 2022
In this study, the effect of incorporating nano-sized fillers (noncovalently functionalized with ethoxylated alcohol chemical-vapor-deposition-grown SWCNTs) within an epoxy resin on the performance of filament wound glass fiber (GF)-based cylindrical ...
Zeynep Ay Solak, Osman Kartav, Metin Tanoglu   +2 more
doaj   +1 more source

Automatic cross‐ and multi‐lingual recognition of dysphonia by ensemble classification using deep speaker embedding models

Expert Systems, Volume 41, Issue 10, October 2024.
Abstract Machine Learning (ML) algorithms have demonstrated remarkable performance in dysphonia detection using speech samples. However, their efficacy often diminishes when tested on languages different from the training data, raising questions about their suitability in clinical settings.
Dosti Aziz, Dávid Sztahó
wiley   +1 more source

Predictors of low and very low bone mineral density in long‐term childhood acute lymphoblastic leukemia survivors: Toward personalized risk prediction

Pediatric Blood &Cancer, Volume 71, Issue 8, August 2024.
Abstract Background Cohorts of childhood acute lymphoblastic leukemia (cALL) survivors reaching adulthood are increasing. Approximately 30% of survivors meet criteria for low bone mineral density (BMD) 10 years after diagnosis. We investigated risk factors for low BMD in long‐term cALL survivors. Methods We recruited 245 cALL survivors from the PETALE (
Geneviève Nadeau, Mariia Samoilenko, Melissa Fiscaletti, Louis‐Nicolas Veilleux, Daniel Curnier, Caroline Laverdière, Daniel Sinnett, Maja Krajinovic, Geneviève Lefebvre, Nathalie Alos   +9 more
wiley   +1 more source

The right to climate protection and the essentially comparable protection of fundamental rights: Applying Solange in European climate change litigation?

Review of European, Comparative &International Environmental Law, Volume 33, Issue 2, Page 265-275, July 2024.
Abstract In an action for annulment against the European Union (EU) Emissions Trading Directive, both the EU General Court and the Court of Justice of the EU (CJEU) found the claim to be inadmissible because the applicants did not satisfy the infamous Plaumann criteria.
Michael Kalis, Anna‐Lena Priebe
wiley   +1 more source

A Hybrid Meta-Heuristic Feature Selection Method for Identification of Indian Spoken Languages From Audio Signals

IEEE Access, 2020
With the recent advancements in the fields of machine learning and artificial intelligence, spoken language identification-based applications have been increasing in terms of the impact they have on the day-to-day lives of common people.
Aankit Das, Samarpan Guha, Pawan Kumar Singh, Ali Ahmadian, Norazak Senu, Ram Sarkar   +5 more
doaj   +1 more source

A Comprehensive Survey of Animal Identification: Exploring Data Sources, AI Advances, Classification Obstacles and the Role of Taxonomy

International Journal of Intelligent Systems, Volume 2024, Issue 1, 2024.
With the rapid development of entity recognition technology, animal recognition has gradually become essential in modern society, supporting labour‐intensive agriculture and animal husbandry tasks. Severe problems such as maintaining biodiversity can also benefit from animal identification technology.
Qianqian Zhang, Khandakar Ahmed, Nalin Sharda, Hua Wang, Zhiyuan Qi   +4 more
wiley   +1 more source

Detection of Road Rage in Vehicle Drivers Based on Speech Feature Fusion

IEEE Access
Road rage can easily cause serious road traffic accidents. In order to detect emotional changes of drivers in a straightforward and accurate way, and enable measures to be taken to avoid accidents, this paper presents a road rage emotion detection method
Xiaofeng Feng, Chenhui Liu, Ying Chen
doaj   +1 more source

Empirical verification of a transformer voiceprint fault diagnosis method based on convolutional neutral network-long-short term memory and Mel gammatone cepstral coefficient features

Frontiers in Mechanical Engineering
IntroductionTransformers are core equipment in power grids. Their malfunctions may cause widespread power outages or even grid paralysis. Accurate diagnosis is of vital importance.MethodsAiming at the problem of insufficient accuracy of traditional ...
Zepeng Lv, Dongping Yang, Bin Yu
doaj   +1 more source

Multiple sound event detection based on auditory fusion features

四川大学学报. 自然科学版
In order to improve the performance of multi-sound event detection task， this paper conducts an in-depth study of the Cascade of Asymmetric Resonators with Fast-Acting Compression （CARFAC） digital cochlear model， and proposes a multi-sound event ...
LUO Ji, XIA Xiu-Yu
doaj