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Convolutional neural networks and face recognition taskConvNet

Capsule network for video segmentationConvNet

Classification of audio samples by convolutional networks in audiobeehive monitoring propose to use convolutional neural networks (ConvNets) and compare developed ConvNets in classifying

Transformations of N derived from straw under long-term conventional and no-tillage soils: A 15N labelling study-labelled wheat straw (NoTill+Straw); conventional tillage without straw (ConvTill); and conventional tillage

Transformations of N derived from straw under long-term conventional and no-tillage soils: A 15N labelling study-labelled wheat straw (NoTill+Straw); conventional tillage without straw (ConvTill); and conventional tillage

Transformations of N derived from straw under long-term conventional and no-tillage soils: A 15N labelling study-tillage with 15N-labelled wheat straw (NoTill+Straw); conventional tillage without straw (Conv

Ultrasound and photo-assisted oxidation of toluene and benzyl alcohol with oxidovanadium(V) complexes the conventional heating (CONV), other energy inputs, i.e., ultrasound-assisted (US_PROBE and US_BATH) and photo

Spatio-Temporal Coherence of mmWave/THz Channel Characteristics and Their Forecasting Using Video Frame Prediction Techniques long short-term memory (ConvLSTM) model. The proposed methodology is based on a special representation

Hemodynamic criteria of the circulatory system in ethnic groups of students with different types of autonomic regulation of the heart rate

Механизмы защиты прав женщин

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