Results 101 to 110 of about 254,846 (297)

SPEAKER IDENTIFICATION SYSTEM USING AUDIO SIGNAL AND DEEP LEARNING METHOD [PDF]

Proceedings on Engineering Sciences
Automatic Speaker Identification (ASI) does not result in high accuracy, so it is essential to develop a highly accurate Speaker Identification (SI) system. Artificial Intelligence has shown remarkable improvement in the development of such systems using
Neelam Nehra , Pardeep Sangwan , Neelu Trivedi   +2 more
doaj   +1 more source

Neural Network Models for Inflation Forecasting: An Appraisal [PDF]

We assess the power of artificial neural network models as forecasting tools for monthly inflation rates for 28 OECD countries. For short out-of-sample forecasting horizons, we find that, on average, for 45% of the countries the ANN models were a ...
Adnan Haider, Ali Choudhary
core  

ANN for Diagnosing Hepatitis Virus [PDF]

, 2017
: This paper presents an artificial neural network based approach for the diagnosis of hepatitis virus. A number of factors that may possibly influence the performance of patients were outlined.
AbuSharekh, Khaled, Bashhar, Bastami, Metwally, Fathi   +2 more
core  

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

Power Aware Learning for Class AB Analogue VLSI Neural Network

, 2006
Recent research into Artificial Neural Networks (ANN) has highlighted the potential of using compact analogue ANN hardware cores in embedded mobile devices, where power consumption of ANN hardware is a very significant implementation issue.
Brown, Andrew, Modi, Sankalp, Wilson, Peter   +2 more
core  

ANN for Predicting Antibiotic Susceptibility [PDF]

, 2016
: In this research, an Artificial Neural Network (ANN) model was developed and tested to predict efficiency of antibiotics in treating various bacteria types. Attributes that were taken in account are: organism name, specimen type, and antibiotic name as
Ahmed, Maaruf, Randa, Qassas
core  

Sustainable Synaptic Device with Two‐Dimensional Ferroelectric Materials for Neuromorphic Computing

Advanced Science, EarlyView.
α‐In2Se3 based FeSFETs can be utilized as sustainable devices through polarization switching governed by both out‐of‐plane and in‐plane polarizations. Upon reaching a fatigued state, current annealing enabled by conductance modulation can significantly enhance the endurance of FeSFETs.
Jaewook Yoo, Seokjin Oh, Minah Park, Jong Min Song, Hongseung Lee, Seohyeon Park, Sojin Jung, Seongbin Lim, Soohyun Lim, Dongsun Shin, Ji Won Heo, TaeWan Kim, Hagyoul Bae   +12 more
wiley   +1 more source

Predicting Pregnant Women’s Abortion: Artificial Neural Network, Wavelet Neural Network and Adaptive Neural Fuzzy Inference System

Advanced Biomedical Research
Background: Abortion is an important and controversial issue and one of the important reasons for the mortality of pregnant women worldwide. This study aimed to predict the risk factors of abortion in pregnant women using artificial neural network ...
Amir Hossein Hashemian, Behzad Mahaki, Mansour Rezaei, Leila Solouki, Mohammad Amin Sohrabi Cheqabaleki, Somayeh Sohrabi Cheqabaleki   +5 more
doaj   +1 more source

An Artificial Neural Network (ANN) in Electronic Product Design [PDF]

Studies in Informatics and Control, 2012
This article was published in the journal, Studies in Informatics and Control [© National Institute for Research & Development in Informatics].
openaire   +1 more source

Flexible Pressure Sensor With Multi‐Stage Microdome Structure Enabling Ultra‐Wide Linear Range and High Sensitivity for Wearable Applications

Advanced Science, EarlyView.
An MXene‐based flexible piezoresistive sensor featuring a multi‐stage microdome architecture is developed, which simultaneously realizes high sensitivity of 11.57 kPa−1 and an ultra‐broad detection range up to 2500 kPa. When integrated into palm and sole sensor arrays combined with deep learning algorithms, it achieves a recognition accuracy of over 95%
De‐Yu Kong, Kai Wang, Jia‐Nan Ma, Bo‐Ma, Teng‐Teng Gao, Hai‐Wang Zhang, Hong‐Tao Wang, Qiang Li, Hui Gao, Sheng‐Bo Sang   +9 more
wiley   +1 more source