Results 11 to 20 of about 18,518,960 (329)
Coded LoRa Frame Error Rate Analysis [PDF]
ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2019 In this work, we study the coded frame error rate (FER) of LoRa under additive white Gaussian noise (AWGN) and under carrier frequency offset (CFO). To this end, we use existing approximations for the bit error rate (BER) of the LoRa modulation under ...
Orion Afisiadis +2 more
semanticscholar +1 more source
Minimum Word Error Rate Training for Attention-Based Sequence-to-Sequence Models [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2017 Sequence-to-sequence models, such as attention-based models in automatic speech recognition (ASR), are typically trained to optimize the cross-entropy criterion which corresponds to improving the log-likelihood of the data. However, system performance is
Rohit Prabhavalkar +6 more
semanticscholar +1 more source
Minimum Error Rate Training in Statistical Machine Translation
Annual Meeting of the Association for Computational Linguistics, 2003 Often, the training procedure for statistical machine translation models is based on maximum likelihood or related criteria. A general problem of this approach is that there is only a loose relation to the final translation quality on unseen text.
F. Och
semanticscholar +1 more source
Proceedings of the Second Workshop on Statistical Machine Translation - StatMT '07, 2007 Evaluation and error analysis of machine translation output are important but difficult tasks. In this work, we propose a novel method for obtaining more details about actual translation errors in the generated output by introducing the decomposition of Word Error Rate (Wer) and Position independent word Error Rate (Per) over different Part-of-Speech ...
Maja Popović, Hermann Ney
openaire +1 more source
Error rate analysis for indoor wireless networks [PDF]
, 1992 An attempt is made to predict the maximum data rates for a typical wireless computer network operating in an indoor frequency-selective environment. To lower the error rates for high-speed data transmission, the impact of techniques such as diversity ...
McGeehan, JP, Nix, AR, Norton, GH
core +2 more sources
A Review of Mutual Coupling in MIMO Systems
IEEE Access, 2018 This paper provides a systematic review of the mutual coupling in multiple-input multiple-output (MIMO) systems, including the effects on performances of MIMO systems and various decoupling techniques.
Xiaoming Chen, Shuai Zhang, Qinlong Li
doaj +1 more source
Effects of noise on cognitive performance of workers based on physiological indicators
Meikuang Anquan, 2021 In order to study the influence of different noise levels on the physiological and cognitive performance of workers in the working environment, the physiological indicators such as diastolic blood pressure, systolic blood pressure, heart rate and heart ...
JING Guoxun, WANG Min
doaj +1 more source
Frontiers in Neurology, 2017 Current clinical diagnostic tools are limited in their ability to accurately differentiate idiopathic Parkinson’s disease (PD) from multiple system atrophy (MSA) and other parkinsonian disorders early in the disease course, but eye movements may stand as
Sarah H. Brooks +10 more
doaj +1 more source
IEEE Access, 2020 Adaboost is a typical ensemble learning algorithm and has been studied and widely used in classification tasks. In order to improve the classification performance of existing Adaboost algorithms effectively, a noise confidence degree and weighted feature
Youwei Wang, Lizhou Feng
doaj +1 more source
Reliability and Accuracy of Alternative Default Prediction Models: Evidence from Slovakia
International Journal of Financial Studies, 2021 The aim of this paper is to assess the reliability of alternative default prediction models in local conditions, with subsequent comparison with other generally known and globally disseminated default prediction models, such as Altman’s Z-score, Quick ...
Daniela Rybárová +3 more
doaj +1 more source