Analysis of challenges and solutions of IoT in smart grids using AI and machine learning techniques: A review

T Mazhar, HM Irfan, I Haq, I Ullah, M Ashraf, TA Shloul… - Electronics, 2023 - mdpi.com
With the assistance of machine learning, difficult tasks can be completed entirely on their
own. In a smart grid (SG), computers and mobile devices may make it easier to control the …

Analysis of cyber security attacks and its solutions for the smart grid using machine learning and blockchain methods

T Mazhar, HM Irfan, S Khan, I Haq, I Ullah, M Iqbal… - Future Internet, 2023 - mdpi.com
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …

Reviewing and integrating aec practices into industry 6.0: Strategies for smart and sustainable future-built environments

A Almusaed, I Yitmen, A Almssad - Sustainability, 2023 - mdpi.com
This article explores the possible ramifications of incorporating ideas from AEC Industry 6.0
into the design and construction of intelligent, environmentally friendly, and long-lasting …

An intelligent optimization framework to predict the vulnerable range of tumor cells using Internet of things

VAK Gorantla, SK Sriramulugari… - 2023 IEEE 2nd …, 2023 - ieeexplore.ieee.org
The intelligent optimization framework for predicting the vulnerable range of tumor cells
using Internet of Things (IoT) provides a robust and efficient solution for monitoring …

The role of ML, AI and 5G technology in smart energy and smart building management

T Mazhar, MA Malik, I Haq, I Rozeela, I Ullah, MA Khan… - Electronics, 2022 - mdpi.com
With the help of machine learning, many tasks can be automated. The use of computers and
mobile devices in “intelligent” buildings may make tasks such as controlling the indoor …

Integration of deep learning into the iot: A survey of techniques and challenges for real-world applications

A Elhanashi, P Dini, S Saponara, Q Zheng - Electronics, 2023 - mdpi.com
The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …

Exploring the potential of AI-driven optimization in enhancing network performance and efficiency

UJ Umoga, EO Sodiya, ED Ugwuanyi… - Magna Scientia …, 2024 - magnascientiapub.com
The exponential growth of network complexity and data volume in modern digital
ecosystems has underscored the need for innovative approaches to optimize network …

An energy-efficient routing protocol with reinforcement learning in software-defined wireless sensor networks

D Godfrey, BK Suh, BH Lim, KC Lee, KI Kim - Sensors, 2023 - mdpi.com
The enormous increase in heterogeneous wireless devices operating in real-time
applications for Internet of Things (IoT) applications presents new challenges, including …

Survey of Artificial Intelligence of Things for Smart Buildings: A closer outlook.

A Sleem, I Elhenawy - … of Intelligent Systems & Internet of …, 2023 - search.ebscohost.com
Abstract Artificial Intelligence of Things (AIoT) is a term used to describe the integration of
Artificial Intelligence (AI) and Internet of Things (IoT) technologies. AIoT combines the …

[HTML][HTML] Japanese public perceptions on smart bin potential to support PAYT systems

C Shan, AH Pandyaswargo, A Ogawa, R Tsubouchi… - Waste Management, 2024 - Elsevier
Smart bins can increase transparency and accuracy in monitoring waste characteristics such
as weight, volume, and disposal times. This information can aid in enforcing waste reduction …