Floods are a major cause of loss of lives, destruction of infrastructure, and massive damage to a country's economy. Floods, being natural disasters, cannot be prevented completely; …
HS Munawar, AWA Hammad, ST Waller - Automation in Construction, 2021 - Elsevier
Flood management, which involves flood prediction, detection, mapping, evacuation, and relief activities, can be improved via the adoption of state-of-the-art tools and technology …
J Chen, G Huang, W Chen - Journal of environmental management, 2021 - Elsevier
Integrating powerful machine learning models with flood risk assessment and determining the potential mechanism between risk and the driving factors are crucial for improving flood …
Floods cause substantial damage across the world every year. Accurate and timely prediction of floods can significantly minimize the loss of life and property. Recently …
S Ustebay, Z Turgut, MA Aydin - … on big data, deep learning and …, 2018 - ieeexplore.ieee.org
In this study, an intrusion detection system (IDS) has been proposed to detect malicious in computer networks. The proposed system is studied on the CICIDS2017 dataset, which is …
HS Munawar, F Ullah, S Qayyum, A Heravi - Smart Cities, 2021 - mdpi.com
Floods are one of the most fatal and devastating disasters, instigating an immense loss of human lives and damage to property, infrastructure, and agricultural lands. To cater to this …
Floods are amongst the most common and devastating of all natural hazards. The alarming number of flood-related deaths and financial losses suffered annually across the world call …
Rapid advances that improve flood management have facilitated the disaster response by providing first aid services, finding safe routes, maintaining communication and developing …
E Harsányi, M Mirzaei, S Arshad, F Alsilibe… - Earth Systems and …, 2024 - Springer
Prediction of carbon dioxide (CO2) emissions from agricultural soil is vital for efficient and strategic mitigating practices and achieving climate smart agriculture. This study aimed to …