Intelligent data-intensive IoT: A survey

B Xiao, R Rahmani, Y Li, D Gillblad… - 2016 2nd IEEE …, 2016 - ieeexplore.ieee.org
The IoT paradigm proposes to connect entities intelligently with massive heterogeneous
nature, which forms an ocean of devices and data whose complexity and volume are …

Исследование методов машинного обучения для анализа и принятия решений на основе данных интернета вещей

ЕВ Поляков - … студентов, аспирантов и молодых специалистов им …, 2017 - elibrary.ru
ИССЛЕДОВАНИЕ МЕТОДОВ МАШИННОГО ОБУЧЕНИЯ ДЛЯ АНАЛИЗА И ПРИНЯТИЯ
РЕШЕНИЙ НА ОСНОВЕ ДАННЫХ ИНТЕРНЕТА ВЕЩЕЙ КОРЗИНА ПОИСК НАВИГАТОР …

Energy-efficient device architecture and technologies for the internet of everything

C Mahapatra - 2018 - open.library.ubc.ca
Around the globe, integrating information and communication technologies with physical
infrastructure is a top priority in pursuing smart, green living to improve energy efficiency …

Sparsity Analysis of Deep Learning Models and Corresponding Accelerator Design on FPGA

Y You - 2016 - diva-portal.org
Abstract Machine learning has achieved great success in recent years, especially the deep
learning algorithms based on Artificial Neural Network. However, high performance and …

[引用][C] ICN 환경에서IoT 장치간의데이터통신프로토콜보호및기계학습을적용한효율적인IoT 데이터수집방법에대한연구

심우진, 김기천 - 한국통신학회학술대회논문집, 2018 - dbpia.co.kr
요 약최근 ICN (Information Centric Network) 이 등장하면서 IP 와 같은 위치 기반 통신이 아닌
데이터를 기반으로 하는 통신에대한 연구가 활발하게 이루어지고 있다. 또한 IoT (Internet of …