Methodology of neural network compression for multi-sensor transducer network models based on edge computing principles

ІМ Лобачев, СГ Антощук, МА Годовиченко - Вісник сучасних …, 2021 - hait.od.ua
This paper focuses on the development of a methodology to compress neural networks that
is based on the mechanism of pruning the hidden layer neurons. The aforementioned neural …

[PDF][PDF] Secure and Sustainable Predictive Framework for IoT-Based Multimedia Services Using Machine Learning. Sustainability 2021, 13, 13128

N Islam, M Altamimi, K Haseeb, M Siraj - 2021 - academia.edu
In modern years, the Internet of Things (IoT) has gained tremendous growth and
development in various sectors because of its scalability, self-configuring, and …

[PDF][PDF] A Machine Learning SDN-Enabled Big Data Model for IoMT Systems. Electronics 2021, 10, 2228

K Haseeb, I Ahmad, II Awan, J Lloret, I Bosch - 2021 - academia.edu
In recent times, health applications have been gaining rapid popularity in smart cities using
the Internet of Medical Things (IoMT). Many real-time solutions are giving benefits to both …

Application of Machine Learning in Intrusion detection using a feedback System: Study

S Shukla, R Agrawal - 2021 3rd International Conference on …, 2021 - ieeexplore.ieee.org
With the growth and expansion of network technologies, every corner of the world is now
connected and people are using the Internet to a great extent. As an eternal truth, every …

Deep Learning-Based Anomaly Detection System for Guarding Internet of Things Devices

SW Azumah - 2021 - search.proquest.com
The ever-expanding scope of the third industrial revolution spawned a dynamic digital age
of computers and the world wide web (internet). The Internet of Things (IoT) is one of the …

Securing IoT-Based Microservices Using Artificial Intelligence

S Kumar, S Mukherjee - VLSI and Hardware Implementations …, 2021 - api.taylorfrancis.com
The Internet of Things (IoT) is a technology that strongly enters people's reality. All
environments are involved: urban, industrial, office, or home. The interest generated and the …

Anomaly Detection for IoT devices using Hierarchical Self-Organizing Maps

M Toshpulatov - 2021 - dalspace.library.dal.ca
With the growing use of the Internet of Things (IoT), the IoT platforms, and the solutions and
services related to them, cybersecurity stays of utmost importance. The cyber and …

Internet of Things (IoT) Based Automated Light Intensity Model Using NodeMcu ESP 8266 Microcontroller

Shyla, V Bhatnagar - Applications of Artificial Intelligence and Machine …, 2021 - Springer
Abstract Internet of Things (IoT) is a ubiquitous technology for connecting anything from
anywhere impacting the life drastically by expanding its reach in economical, commercial …

Internet of Things-Based Security Model and Solutions for Educational Systems

R Patnaik, K Srujan Raju, K Sivakrishna - Multimedia Technologies in the …, 2021 - Springer
Today the applications of Internet of things (IoT) are progressing rapidly in variety of
domains. This encouraged to develop new applications (eg, smart grid, smart home, smart …

An approach for malware detection on IoT systems using machine learning

J Alves Fagundes - 2021 - norma.ncirl.ie
Internet of things (IoT) devices communicate, collect and exchange data about our online
activities and preferences via the internet. These smart devices are infiltrated into our lives in …