The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management

V Kumar, HM Azamathulla, KV Sharma, DJ Mehta… - Sustainability, 2023 - mdpi.com
Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …

Remote sensing methods for flood prediction: A review

HS Munawar, AWA Hammad, ST Waller - Sensors, 2022 - mdpi.com
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; …

A review on flood management technologies related to image processing and machine learning

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 …

Towards better flood risk management: Assessing flood risk and investigating the potential mechanism based on machine learning models

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 …

A short-term flood prediction based on spatial deep learning network: A case study for Xi County, China

C Chen, J Jiang, Z Liao, Y Zhou, H Wang, Q Pei - Journal of Hydrology, 2022 - Elsevier
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 …

Intrusion detection system with recursive feature elimination by using random forest and deep learning classifier

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 …

Application of deep learning on uav-based aerial images for flood detection

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 …

Computer vision and IoT-based sensors in flood monitoring and mapping: A systematic review

B Arshad, R Ogie, J Barthelemy, B Pradhan… - Sensors, 2019 - mdpi.com
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 …

An integrated approach for post-disaster flood management via the use of cutting-edge technologies and UAVs: A review

HS Munawar, AWA Hammad, ST Waller, MJ Thaheem… - Sustainability, 2021 - mdpi.com
Rapid advances that improve flood management have facilitated the disaster response by
providing first aid services, finding safe routes, maintaining communication and developing …

Assessment of Advanced Machine and Deep Learning Approaches for Predicting CO2 Emissions from Agricultural Lands: Insights Across Diverse Agroclimatic Zones

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 …