Results 71 to 80 of about 29,645 (311)

Development of a Baby Cry Identification System Using a Raspberry Pi-Based Embedded System and Machine Learning

Technologies
Newborns cry intensely, and most parents struggle to understand the reason behind their crying, as the baby cannot verbally express their needs. This makes it challenging for parents to know if their child has a need or a health issue.
Mohcin Mekhfioui, Wiam Fadel, Fatima Ezzahra Hammouch, Oussama Laayati, Marouan Bouchouirbat, Nabil El Bazi, Amal Satif, Tarik Boujiha, Ahmed Chebak   +8 more
doaj   +1 more source

Typical Non-Pertussis Cough Spectrogram.

, 2013
Typical Non-Pertussis Cough Spectrogram.
Danny Parker (504605), Amir Harati (504607), Marion H. Jenkyns (504609), Joseph Picone (504606), Philip M. Polgreen (350588), Shuang Lu (504608)   +5 more
core   +1 more source

Multi-beam LOFAR spectrogram of the target.

, 2022
Multi-beam LOFAR spectrogram of the target.
Chuanping Zhou (14204340), Baochun Qiu (14204337), Zefei Zhu (4438117), Maofa Wang (14204334), Li Ma (46633)   +4 more
core   +1 more source

Ciclopirox Olamine Inhibits the NLRP3 Inflammasome to Alleviate Inflammatory Diseases

Advanced Science, EarlyView.
There is no drug targeting the NLRP3 inflammasome that has been approved for use in clinical settings. Ciclopirox olamine (CPX), an antifungal agent approved by the US Food and Drug Administration (FDA), is identified as a specific and potent NLRP3 inflammasome inhibitor. CPX targets the NACHT domain of NLRP3 at Y381 to impair NLRP3 oligomerization and
Xinyu Xia, Hui You, Ke Zhang, Hui Jiang, Hongping Liu, Lianghua Liu, Aijie Zhang, You Zhou   +7 more
wiley   +1 more source

Distinguishing Resting State From Motor Imagery Swallowing Using EEG and Deep Learning Models

IEEE Access
The primary aim of this study was to assess the classification performance of deep learning models in distinguishing between resting state and motor imagery swallowing, utilizing various preprocessing and data visualization techniques applied to ...
Sevgi Gokce Aslan, Bulent Yilmaz
doaj   +1 more source

spectrogram

, 2014
Citation: 'spectrogram' in the IUPAC Compendium of Chemical Terminology, 3rd ed.; International Union of Pure and Applied Chemistry; 2006. Online version 3.0.1, 2019. 10.1351/goldbook.S05835 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire   +1 more source

FSR velocity estimation using spectrogram

, 2016
This paper focuses on the estimation of target motion parameters in forward scatter radar. A new method based on the use of the Doppler signature spectrogram has been investigated.
De Luca, A., M. Cherniakov, M. Gashinova, Contu, M., Hristov, S., Daniel, L., S. Hristov, A. De Luca, M. Contu, Gashinova, M., Cherniakov, M., L. Daniel   +11 more
core   +1 more source

High Fracture Toughness of 1D Copper‐Based MOP Electrode Enables Fast‐Charging Lithium‐Ion Batteries

Advanced Science, EarlyView.
Traditional electrode materials suffer from particle cracking and rapid capacity fade during fast charging, largely originating from their low fracture toughness. This work introduces a one‐dimensional Cu‐based metal–organic polymer, in which strong π‐d conjugation and π–π stacking endow the framework with high fracture toughness, simultaneously ...
Mingli Li, Zhenzhen Wu, Pan Yang, Di Zhao, Mengyang Dong, Muhammad Tayyab Ahsan, Lei Zhang, Shanqing Zhang, Yun Wang   +8 more
wiley   +1 more source

CochleaSpecNet: An Attention-Based Dual Branch Hybrid CNN-GRU Network for Speech Emotion Recognition Using Cochleagram and Spectrogram

IEEE Access
Being one of the main communication medium, speech contains necessary information about the emotional state of a human. Accurate emotion recognition is crucial for enhancing human-machine interactions, highlighting the importance of a strong Speech ...
Atkia Anika Namey, Khadija Akter, Md. Azad Hossain, M. Ali Akber Dewan   +3 more
doaj   +1 more source

An algorithm to cluster the spectra in a spectrogram

, 2013
The work described in this technical report is part of an ongoing project at QUT to build practical tools for the manipulation, analysis and visualisation of recordings of the natural environment. This report describes the algorithm we use to cluster the
Towsey, Michael W.
core