1 Introduction and main contributions Template-based approaches have achieved significant progress in low-resource neural machine translation(NMT)recently[1],such as the efficient works,NMT-GTM[2],SoftPrototype[3],***...
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1 Introduction and main contributions Template-based approaches have achieved significant progress in low-resource neural machine translation(NMT)recently[1],such as the efficient works,NMT-GTM[2],SoftPrototype[3],***,most previous works only retrieve target sentence as template to generate translation,neglecting the utilization of linguistic feature that contained in the source sentence and template.
Ultra-wideband(UWB)technology is a prospective technology for high-rate transmission and accurate localization in the future communication ***-of-art channel modeling approaches usually divide the UWB channel into sev...
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Ultra-wideband(UWB)technology is a prospective technology for high-rate transmission and accurate localization in the future communication ***-of-art channel modeling approaches usually divide the UWB channel into several sub-band channels and model them *** considering frequency-dependent channel parameters,a novel analytical UWB channel model with continuous frequency response is *** composite effect of all frequency components within the UWB channel on the channel impulse response(CIR)of delay domain is derived based on the continuous channel transfer function(CTF)of frequency *** this basis,a closed-form simulation model for UWB channels and geometry-based parameter calculation method are developed,which can guarantee the continuity of channel characteristics on the frequency domain and greatly reduce the simulation ***,the proposed method is applied to generate UWB channel with 2 GHz bandwidth at sub-6GHz and millimeter wave(mmWave)bands,*** channel measurements are also carried out to validate the proposed *** simulated CIR and power gain are shown to be in good agreement with the measurement ***,the comparison results of power gain and Doppler power spectral density(DPSD)show that the proposed UWB channel model Received:Apr.23,2022 Revised:Jun.09,2022 Editor:Wei Fan achieves a good balance between the simulation accuracy and efficiency.
The present paper proposes an experimental test rig and methodology for the optical evaluation of micro-contact parameters in the case of micro-indentation tests of elastic materials with rigid indenters. Micro-contac...
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We propose a method for Vietnamese Sign Language (VSL) recognition using a fusion of RGB and Depth information based on the Inflated 3D ConvNet (I3D) architecture. Our approach applies I3D feature extraction independe...
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This article proposes the Artificial Intelligence Models Switching Mechanism (AIMSM), a novel approach to optimize system resource utilization by allowing systems to switch AI models during runtime in dynamic environm...
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Nowadays, the trend for home workouts is getting more and more popular. The growth of wearable fitness trackers from basic accelerometers, pedometers, pulse detectors, and ECGs also supports the advancement of persona...
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The analysis of non-stationary and non-periodic signals has long been restricted to Fourier decomposition in the frequency domain. However, when bringing the frequency content to the time domain (STFT), harmonics appe...
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Online transactions have transformed commerce and international trade but have brought up new difficulties, especially regarding fraud detection and security. The exponential rise in digital transactions has made reli...
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ISBN:
(数字)9798331541217
ISBN:
(纸本)9798331541224
Online transactions have transformed commerce and international trade but have brought up new difficulties, especially regarding fraud detection and security. The exponential rise in digital transactions has made reliable fraud detection systems using machine learning and artificial intelligence techniques which are leveraged to detect and mitigate fraud thereby increasing the security of transactions. The paper suggested a model in which data preprocessing using standard scalar along with SMOTE for data balancing is proposed. Data is split into 80-20% train test data based on credit card transactions. An artificial neural network is used to determine credit card fraud. Activation function followed by batch normalization blended with Adam Optimizer and cross-entropy is used to process the computation. Furthermore, classification parameters obtained an Accuracy of 99.95%, Precision of 99%, Recall of 99%, and F1Score of 99%. The result obtained by the proposed method outperforms the existing approach that focuses on secured transactions and helps both the client and server.
Phishing attacks present a persistent and evolving threat in the cybersecurity land-scape,necessitating the development of more sophisticated detection *** machine learning approaches to phishing detection have relied...
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Phishing attacks present a persistent and evolving threat in the cybersecurity land-scape,necessitating the development of more sophisticated detection *** machine learning approaches to phishing detection have relied heavily on feature engineering and have often fallen short in adapting to the dynamically changing patterns of phishingUniformResource Locator(URLs).Addressing these challenge,we introduce a framework that integrates the sequential data processing strengths of a Recurrent Neural Network(RNN)with the hyperparameter optimization prowess of theWhale Optimization Algorithm(WOA).Ourmodel capitalizes on an extensive Kaggle dataset,featuring over 11,000 URLs,each delineated by 30 *** WOA’s hyperparameter optimization enhances the RNN’s performance,evidenced by a meticulous validation *** results,encapsulated in precision,recall,and F1-score metrics,surpass baseline models,achieving an overall accuracy of 92%.This study not only demonstrates the RNN’s proficiency in learning complex patterns but also underscores the WOA’s effectiveness in refining machine learning models for the critical task of phishing detection.
Study on the identification and classification of fish is challenging and valuable because of its role in advancing the marine and agricultural fields. This research has benefits interms of monitoring fish populations...
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