Artificial Intelligence Methods for the Construction and Management of Buildings

S Ivanova, A Kuznetsov, R Zverev, A Rada - Sensors, 2023 - mdpi.com
Artificial intelligence covers a variety of methods and disciplines including vision, perception,
speech and dialogue, decision making and planning, problem solving, robotics and other …

Unleashing the potential of IoT, Artificial Intelligence, and UAVs in contemporary agriculture: A comprehensive review

M El Alaoui, KEL Amraoui, L Masmoudi… - Journal of …, 2024 - Elsevier
This study explores the potential of Precision Agriculture (PA) and Smart Farming (SF) using
cutting-edge technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and …

[HTML][HTML] An Intelligent Attack Detection Framework for the Internet of Autonomous Vehicles with Imbalanced Car Hacking Data

S Alshathri, A Sayed, EED Hemdan - World Electric Vehicle Journal, 2024 - mdpi.com
The modern Internet of Autonomous Vehicles (IoVs) has enabled the development of
autonomous vehicles that can interact with each other and their surroundings, facilitating …

[HTML][HTML] TWIN-ADAPT: Continuous Learning for Digital Twin-Enabled Online Anomaly Classification in IoT-Driven Smart Labs

R Gupta, B Tian, Y Wang, K Nahrstedt - Future Internet, 2024 - mdpi.com
In the rapidly evolving landscape of scientific semiconductor laboratories (commonly known
as, cleanrooms), integrated with Internet of Things (IoT) technology and Cyber-Physical …

[HTML][HTML] Conditional Generative Adversarial Networks with Optimized Machine Learning for Fault Detection of Triplex Pump in Industrial Digital Twin

A Sayed, S Alshathri, EED Hemdan - Processes, 2024 - mdpi.com
In recent years, digital twin (DT) technology has garnered significant interest from both
academia and industry. However, the development of effective fault detection and diagnosis …

Towards Intelligent Monitoring in IoT: AI Applications for Real-Time Analysis and Prediction

W Villegas-Ch, J García-Ortiz, S Sánchez-Viteri - IEEE Access, 2024 - ieeexplore.ieee.org
In the contemporary era, the intersection of the Internet of Things and artificial intelligence
revolutionizes how industries monitor and optimize their operations. In this work, we present …

An efficient disease prediction framework based on optimized machine learning models for a smart healthcare application

N Jiao - Multimedia Tools and Applications, 2024 - Springer
Abstract In recent times, Artificial Intelligence (AI) and Internet of Things (IoT) approaches
are becoming the key driver for many healthcare applications. Healthcare applications are …

Digital supply chain management: competitive advantage and sustainable production

KA Alphonse, G Zhang, B Aslam, S Guo, M Ji… - Management …, 2025 - emerald.com
Purpose The purpose of this investigation is to examine how the adaption of digital supply
chain management (DSCM) practices affects the efficiency of factories and sustainable …

Predicting multiple numerical solutions to the duffing equation using machine learning

YR Wang, GW Chen - Applied Sciences, 2023 - mdpi.com
Featured Application This work applies machine learning, specifically LSTM and LSTM-NN
models, to predict the Duffing equation's convergence outcomes. It has potential …

[HTML][HTML] Sustainable Air Quality Detection Using Sequential Forward Selection-Based ML Algorithms

NG Rezk, S Alshathri, A Sayed, E El-Din Hemdan… - Sustainability, 2024 - mdpi.com
Air pollution has exceeded the anticipated safety limit and addressing this issue is crucial for
sustainability, particularly in countries with high pollution levels. So, monitoring and …