Работы, цитирующие эту работу

Работ: 6

Работа: Speech recognition with deep recurrent neural networks

1. Forecasting electricity consumption by LSTM neural network

   V. Ya. Ushakov, Ikromjon U. Rakhmonov, Numon N. Niyozov +1

   СтатьяEnergy Load and Power ForecastingBulletin of the Tomsk Polytechnic University Geo Assets Engineering2023Цитирований: 24

   ABIABI:AkademIndex/openalex/2023.article.000225

2. Energy efficiency indicators

   I U Rakhmonov, Zamira Shayumova, Kamal Reymov +1

   СтатьяEnergy Load and Power ForecastingAIP conference proceedings2024Цитирований: 10

   ABIABI:AkademIndex/openalex/2024.article.000565

3. Development of integral model of speech recognition system for Uzbek language

   Muhammadjon Musaev, Ilyos Khujayorov, Mannon Ochilov

   СтатьяSpeech Recognition and Synthesis2020Цитирований: 8

   ABIABI:AkademIndex/openalex/2026.other.073065

4. USC: An Open-Source Uzbek Speech Corpus and Initial Speech Recognition Experiments

   Muhammadjon Musaev, Saida Mussakhojayeva, Ilyos Khujayorov +3

   ПрепринтSpeech Recognition and SynthesisLecture notes in computer science2021Цитирований: 0

   ABIABI:AkademIndex/openalex/2021.preprint.000008

5. A new method for digital processing cardio signals using the wavelet function

   N. Yu. Sharibaev, Anvar Jabborov, R. G. Rakhimov +2

   СтатьяECG Monitoring and AnalysisBIO Web of Conferences2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.003755

6. Utilizing Deep Learning Technologies for Innovative Application

   Rainy Sikand, Jayant Gautam, Saif O. Husain +3

   СтатьяAdvanced Data Processing Techniques2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.010499