AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives

Y Himeur, M Elnour, F Fadli, N Meskin, I Petri… - Artificial Intelligence …, 2023 - Springer
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …

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 the challenges of artificial intelligence of things (AIoT) for the smart supply chain (case study: FMCG industries)

H Nozari, A Szmelter-Jarosz, J Ghahremani-Nahr - Sensors, 2022 - mdpi.com
In today's competitive world, supply chain management is one of the fundamental issues
facing businesses that affects all an organization's activities to produce products and provide …

[HTML][HTML] A hybrid CNN+ LSTM-based intrusion detection system for industrial IoT networks

HC Altunay, Z Albayrak - … Science and Technology, an International Journal, 2023 - Elsevier
Abstract The Internet of Things (IoT) ecosystem has proliferated based on the use of the
internet and cloud-based technologies in the industrial area. IoT technology used in the …

On the ICN-IoT with federated learning integration of communication: Concepts, security-privacy issues, applications, and future perspectives

A Rahman, K Hasan, D Kundu, MJ Islam… - Future Generation …, 2023 - Elsevier
The individual and integration use of the Internet of Things (IoT), Information-Centric
Networking (ICN), and Federated Learning (FL) have recently been used in several network …

The role of machine learning and the internet of things in smart buildings for energy efficiency

SFA Shah, M Iqbal, Z Aziz, TA Rana, A Khalid… - Applied Sciences, 2022 - mdpi.com
Machine learning can be used to automate a wide range of tasks. Smart buildings, which
use the Internet of Things (IoT) to connect building operations, enable activities, such as …

Cyber threats detection in smart environments using SDN-enabled DNN-LSTM hybrid framework

M Al Razib, D Javeed, MT Khan, R Alkanhel… - IEEE …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) is an instantly exacerbated communication technology that is
manifesting miraculous effectuation to revolutionize conventional means of network …

Fusion of IoT, AI, edge–fog–cloud, and blockchain: Challenges, solutions, and a case study in healthcare and medicine

F Firouzi, S Jiang, K Chakrabarty… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The digital transformation is characterized by the convergence of technologies—from the
Internet of Things (IoT) to edge–fog–cloud computing, artificial intelligence (AI), and …

A secure data hiding approach based on least-significant-bit and nature-inspired optimization techniques

MA Hameed, OA Abdel-Aleem… - Journal of Ambient …, 2023 - Springer
With remarkable information technology development, information security has become a
major concern in the communication environment, where security must be performed for the …

Ai based drones for security concerns in smart cities

B Rawat, AS Bist, D Apriani, NI Permadi… - APTISI Transactions on …, 2023 - ijc.ilearning.co
The concept of a smart city has attracted the attention of all corners of the world. It updated
with new technologies like AI, Blockchain, IoT, Drones, and many other things. Security in …