| № | Дата |
Автор |
Заглавие |
|---|
|
2021 |
|
Optimal Incentive and Load Design for Distributed Coded Machine Learning / Ningning Ding [et al.] |
|
2021 |
Myung Cho |
Distributed Dual Coordinate Ascent in General Tree Networks and Communication Network Effect on Synchronous Machine Learning / Myung Cho, Lifeng Lai, Weiyu Xu |
|
2021 |
Jaeyoung Song |
Wireless Distributed Edge Learning: How Many Edge Devices Do We Need? / Jaeyoung Song, M. Kountouris |
|
2021 |
|
Cache-Enabled Multicast Content Pushing With Structured Deep Learning / Qi Chen [et al.] |
|
2021 |
Sihui Zheng |
Design and Analysis of Uplink and Downlink Communications for Federated Learning / Sihui Zheng, Cong Shen, Xiang Chen |
|
2021 |
Jinhyun So |
Byzantine-Resilient Secure Federated Learning / Jinhyun So, B. Güler, A. S. Avestimehr |
|
2021 |
|
MetaSensing: Intelligent Metasurface Assisted RF 3D Sensing by Deep Reinforcement Learning / Jingzhi Hu [et al.] |
|
2021 |
|
On Deep Reinforcement Learning for Traffic Engineering in SD-WAN / S. Troia [et al.] |
|
2022 |
Симонова, Лариса Анатольевна (доктор технических наук) |
Реализация технологических решений с помощью нейронной сети / Л. А. Симонова, Е. И. Егорова, А. И. Ахмадиев |
|
2021 |
|
Attentional Markov Model for Human Mobility Prediction / Huandong Wang [et al.] |
|
2021 |
|
SIABR: A Structured Intra-Attention Bidirectional Recurrent Deep Learning Method for Ultra-Accurate Terahertz Indoor Localization / Shukai Fan [et al.] |
|
2023 |
Трифонов, Юрий Васильевич (доктор экономических наук) |
Интеллектуальные инновационные методы оценки компаний по критериям устойчивого развития / Ю. В. Трифонов, С. М. Брыкалов, В. Ю. Трифонов |
|
2021 |
|
Toward Using Reinforcement Learning for Trigger Selection in Network Slice Mobility / R. A. Addad [et al.] |
|
2021 |
Zhida Li |
Machine Learning for Detecting Anomalies and Intrusions in Communication Networks / Zhida Li, A. L. Gonzalez Rios, L. Trajković |
|
2022 |
|
Исследование алгоритмов построения траектории движения автомобиля для работы системы помощи при парковке / А. В. Тумасов [и др.] |
|
2023 |
Пустыльник, Я. И. |
Инновации в розничной торговле: значения и тенденции / Я. И. Пустыльник |
|
2022 |
Тихонов, Алексей Иванович (кандидат технических наук) |
Цифровое производство и искусственный интеллект в авиастроении / А. И. Тихонов, А. А. Сазонов, И. Кузьмина-Мерлино |
|
2021 |
|
Interplay Between RIS and AI in Wireless Communications: Fundamentals, Architectures, Applications, and Open Research Problems / Jinghe Wang [et al.] |
|
2021 |
|
Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays / Qiyu Hu [et al.] |
|
2021 |
|
An Efficient Specific Emitter Identification Method Based on Complex-Valued Neural Networks and Network Compression / Yu Wang [et al.] |
|
2021 |
|
Machine Learning for MU-MIMO Receive Processing in OFDM Systems / M. Goutay [et al.] |
|
2021 |
Sangdeh, Pedram Kheirkhah |
DeepMux: Deep-Learning-Based Channel Sounding and Resource Allocation for IEEE 802.11ax / P. K. Sangdeh, Huacheng Zeng |
|
2021 |
Foad Sohrabi |
Deep Active Learning Approach to Adaptive Beamforming for mmWave Initial Alignment / Foad Sohrabi, Zhilin Chen, Wei Yu |
|
2021 |
|
Triplet-Based Wireless Channel Charting: Architecture and Experiments / P. Ferrand [et al.] |
|
2021 |
Nilesh Kumar Jha |
Online Downlink Multi-User Channel Estimation for mmWave Systems Using Bayesian Neural Network / Nilesh Kumar Jha, Vincent K. N. Lau |
|
2021 |
|
Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems / Xisuo Ma [et al.] |
|
2021 |
|
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-Valued Convolutional Networks / Zhongyuan Zhao [et al.] |
|
2023 |
Рыкованов, Сергей Николаевич (кандидат технических наук) |
Навигатор диспетчера: решения по обеспечению оценивания состояния и режимной надежности распределительной сети / С. Н. Рыкованов, М. А. Хозяинов, Д. А. Беляков |
|
2021 |
|
Blind Channel Codes Recognition via Deep Learning / Boxiao Shen [et al.] |
|
2021 |
Zhenzi Weng |
Semantic Communication Systems for Speech Transmission / Zhenzi Weng, Zhijin Qin |
|
2023 |
|
Правовая политика, наука, практика — 2023 : сборник материалов Республиканской научно-практической конференции (Минск, 5 октября 2023 г.) / [редакционная коллегия: Е. В. Семашко и др.] |
|
2021 |
|
Incentive-Driven Deep Reinforcement Learning for Content Caching and D2D Offloading / Huan Zhou [et al.] |
|
2021 |
|
TCP-NeuRoc: Neural Adaptive TCP Congestion Control With Online Changepoint Detection / Wenzhong Li [et al.] |
|
2021 |
|
PnP-DRL: A Plug-and-Play Deep Reinforcement Learning Approach for Experience-Driven Networking / Zhiyuan Xu [et al.] |
|
2021 |
|
Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning / Mohammad Akbari [et al.] |
|
2021 |
|
Fuzzy Logic-Based Resource Allocation Algorithm for V2X Communications in 5G Cellular Networks / Minglong Zhang [et al.] |
|
2021 |
|
Buffer-Aided Relay Selection for Cooperative Hybrid NOMA/OMA Networks With Asynchronous Deep Reinforcement Learning / Chong Huang [et al.] |
|
2021 |
|
A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing / Akash Doshi [et al.] |
|
2021 |
|
LOSP: Overlap Synchronization Parallel With Local Compensation for Fast Distributed Training / Haozhao Wang [et al.] |
|
2021 |
|
Scalable Orchestration of Service Function Chains in NFV-Enabled Networks: A Federated Reinforcement Learning Approach / Haojun Huang [et al.] |
