Autonomous litter surveying and human activity monitoring for governance intelligence in coastal eco-cyber-physical systems

A Nazerdeylami, B Majidi, A Movaghar - Ocean & Coastal Management, 2021 - Elsevier
The human impact on the coastal ecosystems is a global environmental concern. Due to the
growing urbanization, industrialization, and transportation, this impact on the living and non …

Design knowledge for deep-learning-enabled image-based decision support systems: evidence from power line maintenance decision-making

JP Landwehr, N Kühl, J Walk, M Gnädig - Business & Information Systems …, 2022 - Springer
With the ever-increasing societal dependence on electricity, one of the critical tasks in power
supply is maintaining the power line infrastructure. In the process of making informed, cost …

Secure decentralized peer-to-peer training of deep neural networks based on distributed ledger technology

A Fadaeddini, B Majidi, M Eshghi - The Journal of Supercomputing, 2020 - Springer
The accuracy and performance of deep neural network models become important issues as
the applications of deep learning increase. For example, the navigation system of …

[HTML][HTML] An end-to-end pollution analysis and detection system using artificial intelligence and object detection algorithms

MY Hossain, IR Nijhum, MTM Shad, AA Sadi… - Decision Analytics …, 2023 - Elsevier
Environmental pollution is generally a by-product of various human activities. Researchers
have studied the dangers and harmful effects of pollutants and environmental pollution for …

Location-aware hazardous litter management for smart emergency governance in urban eco-cyber-physical systems

A Peyvandi, B Majidi, S Peyvandi, JC Patra… - Multimedia Tools and …, 2022 - Springer
Smart city management is facing a new challenge from littered face masks during COVID-19
pandemic. Addressing the issues of detection and collection of this hazardous waste that is …

Computer-aided-diagnosis as a service on decentralized medical cloud for efficient and rapid emergency response intelligence

A Peyvandi, B Majidi, S Peyvandi, J Patra - New Generation Computing, 2021 - Springer
The COVID-19 pandemic resulted in a significant increase in the workload for the
emergency systems and healthcare providers all around the world. The emergency systems …

Geo-spatiotemporal intelligence for smart agricultural and environmental eco-cyber-physical systems

B Majidi, O Hemmati, F Baniardalan… - Enabling AI applications …, 2021 - Springer
The rapid changes of the climate and the environment requires smart solutions and
deployment of intelligent automated systems in agriculture and environment management …

Computer Vision with Explainable Artificial Intelligence for Visual Pollution Detection in the Kingdom of Saudi Arabia

A Al Mazroa, M Maray, AM Alashjaee, FA Alotaibi… - IEEE …, 2024 - ieeexplore.ieee.org
Environmental pollution often results from numerous human actions. Researchers have
studied the risks and impacts of harmful pollutants and environmental contamination for …

Aktarımlı öğrenme ile Sentinel-2 görüntülerinden kıyı çizgisi bölütlemesi

S Karagöl, B Bayram, F Erdem… - Türkiye Uzaktan Algılama …, 2021 - dergipark.org.tr
Kıyı çizgileri küresel ısınma, nüfus artışı, çevre kirliliği, kentleşme etkileriyle sürekli değişir.
Doğal ve antropojenik etkilerle meydana gelen değişikleri tespit etmek için kıyı alanlarının …

Autonomous oil spill and pollution detection for large-scale conservation in marine eco-cyber-physical systems

A Bahrani, B Majidi, M Eshghi - 2021 7th International …, 2021 - ieeexplore.ieee.org
In recent years, advancement of the industry and increased human activities created
significant pollution in the marine environment and coastal regions of the Persian Gulf …