HSIC bottleneck based distributed deep learning model for load forecasting in smart grid with a comprehensive survey

M Akhtaruzzaman, MK Hasan, SR Kabir… - IEEE …, 2020 - ieeexplore.ieee.org
Load forecasting is a vital part of smart grids for predicting the required electrical power
using artificial intelligence (AI). Deep learning is broadly used for load forecasting in the …

Industry 4.0 readiness assessment method based on RAMI 4.0 standards

A Bastos, MLSC De Andrade, RT Yoshino… - IEEE …, 2021 - ieeexplore.ieee.org
The Industry 4.0 concept inception definitively provided a disruptive glimpse in terms of
possibilities in a multidisciplinary spectrum. The convergence and synergy from …

AI-Enhanced Cybersecurity: Machine Learning for Anomaly Detection in Cloud Computing

P Thapa, T Arjunan - Quarterly Journal of Emerging Technologies and …, 2024 - vectoral.org
Cloud computing has become ubiquitous, providing convenient on-demand access to
computing resources. However, security remains a major concern, as cloud environments …

Middleware supporting PIS: requirements, solutions, and challenges

C Taconet, T Batista, P Borges, G Bouloukakis… - The Evolution of …, 2022 - Springer
In this chapter, we consider the requirements for middleware to support Pervasive
Information Systems (PIS) in the context of the Internet of Things (IoT). With the IoT, PIS …

Reference Architecture for Microservices with an Optimized Inter-Service Communication Strategy

L Weerasinghe, I Perera - 2024 International Research …, 2024 - ieeexplore.ieee.org
In the modern world, most software developers follow the microservice architecture for their
software development. As a result, monolithic architecture-based software is also gradually …

[PDF][PDF] Systematic Literature Review (SLR) Development of the IoT Industry in the South America Region

I Muniz, DC da Silva, BA Saravia - International Journal of …, 2022 - researchgate.net
Systematic Literature Review (SLR) Development of the IoT Industry in the South America
Region Page 1 International Journal of Advanced Engineering Research and Science (IJAERS) …

[PDF][PDF] HSIC bottleneck based distributed deep learning model for load forecasting in smart grid with a comprehensive survey

SR KABIR, SNHS ABDULLAH, MJ SADEQ - 2020 - academia.edu
Load forecasting is a vital part of smart grids for predicting the required electrical power
using artificial intelligence (AI). Deep learning is broadly used for load forecasting in the …

An Overview of Reference Architectures

EY Nakagawa, PO Antonino - … for Critical Domains: Industrial Uses and …, 2022 - Springer
This chapter provides a characterization of what reference architectures are precisely and
how they differ from similar architecture types, such as software product architectures …

WECRAFT: a Platform for Networking Rural Craftsmen in Co-Production of Artisanal Crafts

PM Guerrieri, S Comai, M Fugini - 2021 IEEE 30th International …, 2021 - ieeexplore.ieee.org
India is a growing country with over 1.2 billion people, out of which more than two-thirds still
live in rural areas. Indian rural areas are vibrant heritage-wise. They have both a fascinating …