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Essential features of teaching Spanish-speaking students aspectual specifics of Russian verbs in Russian as a foreign language classes
Published 2023-09-01“…The authors proceeded from the well-known theory that grammar and, in particular, various categories of the verb, are one of the most susceptible to interference and problematic aspects of the language. …”
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Infrared Aircraft Detection Algorithm Based on High-Resolution Feature-Enhanced Semantic Segmentation Network
Published 2024-12-01Subjects: Get full text
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A novel lightweight model for tea disease classification based on feature reuse and channel focus attention mechanism
Published 2025-01-01Subjects: Get full text
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Delay reduction and interference mitigation by resource management for IAB networks
Published 2024-11-01“…Abstract To overcome the increasing demand for high-throughput data services, the 3rd Generation Partnership Project (3GPP) has proposed Integrated Access and Backhaul (IAB) in Release 16 as a scalable and cost-effective alternative to traditional fiber backhaul for 5 G systems. A key feature of IAB is the shared use of the same spectrum band for both access and backhaul communications, which introduces challenges related to interference, delays, capacity sharing, and additional complexity due to the half-duplex constraint. …”
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ECG filtering and QRS extraction under steep pulse interference
Published 2020-05-01“…However, the noise generated by the steep pulse seriously interferes with a patient’s electrocardiogram (ECG) signal resulting in decrease in the accuracy of the ECG feature point detection algorithm. …”
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Improved ResNet algorithm based intelligent interference identification
Published 2022-10-01“…The labor cost of the current network operation and maintenance is high and the efficiency is low.How to quickly and accurately identify the type of network interference, and improve the work efficiency of the maintenance personnel has become an urgent problem to be solved.An intelligent interference identification method of improved deep residual network (ResNet) was studied.The interference data was collected and preprocessedby connecting with the communication interference data interface of the operator's northbound network management.The type of itwaslabelled and corrected by the current network experts to form an offline interference data set.Then the interference frequency domain information was used to generate the interference spectrum waveform image, and performed image processing and data processing for different interference types.After that, the traditional Res Net algorithm was improved according to the business characteristics to extract the features of single interference type.The features were weighted in the compound interference type to identify any type of interference.Finally, the interference data was identified online by importing the trained model, which effectively improved the accuracy and efficiency of interference identification.…”
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Lexical Interference of Russian and Karelian in the Diachronic Aspect of Language Policy
Published 2022-02-01“…The novelty of the study lies in the consideration of linguistic interference in the historical context.Methodology and sources. …”
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Substantive components of forensic characterisation of interference with the activities of public authorities
Published 2024-09-01“…It is proposed to distinguish among them: 1) peculiarities of the situation, time and place of the interference; 2) typical traces of illegal activities aimed at interfering with the victim’s activities – representative of the state authority; 3) methods of interference with the activities of public authorities; 4) characteristic features of the victim of interference with activities – representative of the state authority, information about his/her type of activity, official position, functional responsibilities, information about the immediate supervisor, etc.; 5) information about the identity of the offender, motives and purpose of interference with the victim's activities – representative of the state authority, etc. …”
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A Satellite Navigation Spoofing Interference Detection Method Based on LSTM
Published 2025-01-01“…Facing the problem of satellite navigation spoofing interference detection, this paper proposes a feature parameter selection and data processing method applicable to the detection of spoofing interference by Long Short-term Memory (LSTM) neural network. …”
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A satellite navigation spoofing interference detection method based on LSTM
Published 2025-06-01“…Based on the analysis of the effect of spoofing interference on the receiver loop, the direct and indirect information in the tracking loop was selected as the spoofing detection feature parameters. …”
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Anomaly detection in virtual machine logs against irrelevant attribute interference.
Published 2025-01-01Get full text
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Optical Interference Analysis of ZIF-8 Films for Chemical Vapor Detection
Published 2024-03-01“…Metal–organic frameworks (MOFs) are materials that feature a large surface area with permanent porosity, which is an attractive property for chemical and gas sensing, making them a good candidate for sensor fabrication. …”
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The psychometric properties of the child anxiety and depression life interference scale (CADLIS)
Published 2025-01-01“…Abstract Objective Life interference is a key diagnostic feature for anxiety and depressive disorders. …”
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Acoustic Emission Control of Compounds with Interference, Which Are Assembled by Thermal Method
Published 2025-09-01Get full text
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Mechanoelectric sensitivity reveals destructive quantum interference in single-molecule junctions
Published 2024-11-01“…Abstract Quantum interference plays an important role in charge transport through single-molecule junctions, even at room temperature. …”
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Strong coupling spontaneous emission interference near a graphene nanodisk
Published 2024-06-01“…The presence of the graphene nanodisk gives strong anisotropy to the Purcell factors of the quantum emitter, leading to interference effects in spontaneous emission appearing as coupling between the emitter’s upper levels. …”
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Intelligent interference decision algorithm with prior knowledge embedded LSTM-PPO model
Published 2024-12-01“…Finally, these extracted dynamic features were inputted into the PPO model. With guidance from embedded prior knowledge, an effective interference decision can be achieved rapidly. …”
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Deep Learning-Based Interference Fringes Detection Using Convolutional Neural Network
Published 2019-01-01“…The interference fringes of interferometry are the key to reconstruct a three-dimensional topography. …”
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Impact of Ultra-Wideband Electromagnetic Interference on the Performance of a Passive Frequency Doubler
Published 2024-01-01“…This article investigates the impact of ultra-wideband (UWB) electromagnetic interference (EMI) on the performance of a passive frequency doubler. …”
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