Similar papers
Conference
Aug 2026
IoT-Enabled Hybrid SVM–Random Forest-Based Model for Real-Time Air Pollution Prediction in Smart Cities
In smart cities, air pollution has grown to be a serious problem that has an impact on both environmental sustainability and human health. In order to predict air pollution in real time, this study suggests an Internet of Things-enabled hybrid model that combines Random Forest (RF) and Support Vector Machine (SVM). IoT...
Gayatri Hegde, DR. Arun Kumar Saripalli, A. Angelin Stefi et al.
· International Conference on... · 0 citations
Open access
Sep 2026
Research on Intelligent Safety Management Innovation Enabled by Artificial Intelligence and Forklift Internet of Things: A Data-Driven Risk Prediction Perspective
To address the prominent pain points of high accident frequency, lagging hazard early warning, and extensive empirical management in traditional forklift operation safety management, this paper proposes a full-process intelligent safety management innovation framework enabled by artificial intelligence (AI) and forklif...
Qi-Rong Shen, Yu-Tong Ye, Lei Sun et al.
· Journal of Computational and... · 0 citations
Aug 2026
An integrated internet of things and machine learning framework for real-time wildfire monitoring and prevention
Forest fires are among the most destructive natural hazards, posing significant threats to ecosystems, infrastructure, and human life. In Mediterranean regions such as Algeria, the frequency and intensity of wildfires have increased due to climate change and human activities. This article proposes a cloud-centric hybri...
Ali Kourtiche, Souad Belhia, Mahmoud Fahsi et al.
· Journal of Ambient Intellige... · 0 citations
Review
Open access
Sep 2026
Comparative Review of Intelligent Flood Monitoring and Risk Assessment Systems: An IoT–Random Forest Perspective
Flooding remains one of the most destructive natural hazards worldwide, causing significant loss of life, damage to infrastructure, and socioeconomic disruption. Recent advances in the Internet of Things (IoT), wireless communication, and machine learning have enabled the development of intelligent flood monitoring sys...
Nataram Odumo, Bright Curthbert Epelle
· FUDMA Journal of Sciences · 0 citations
Open access
2026
APPLICATION OF IOT AND AI FOR REAL-TIME FLOOD EARLY-WARNING AND RESILIENCE MANAGEMENT IN IBADAN METROPOLITAN AREA
Urban flooding poses a persistent threat to lives, infrastructure, and economic activities in rapidly growing African cities, yet early-warning systems in many contexts remain reactive and data-poor. This study develops and empirically evaluates an integrated Internet of Things (IoT) and Artificial Intelligence (AI)–ba...
N. Adeleye, B.A. Akindele
· Nigerian Online Journal of E... · 0 citations
Open access
Aug 2026
AIOT-Based Predictive Safety Framework for Underground Coal Mining: Integrating PINNs, Wearable Sensors, and Digital Twins in Indian Contexts
Underground coal mining remains one of the most hazardous industrial activities worldwide, particularly in emerging economies where complex geological conditions, methane emissions, roof instability, dust exposure, and equipment-related accidents continue to threaten worker safety. India, the world's second-largest coa...
S. Kushwaha, R. Chaurasia
· International Journal of Sci... · 0 citations