Research graph
References from 6G-Enabled FANET–IoT Framework for Intelligent Watershed Monitoring Using Multi-Agent Deep Reinforcement Learning. Local targets link to admitted publications; unresolved targets remain external evidence.
Extreme weather events threaten biodiversity and functions of river ecosystems: Evidence from a meta-analysis
10.1111/brv.12914 · 2023 · External reference
Impacts of climate-induced drought on lake and reservoir biodiversity and ecosystem services: A review
10.1007/s13280-024-02092-7 · 2025 · External reference
10.3390/info15100609
10.3390/info15100609 · External reference
10.3390/w17111566
10.3390/w17111566 · External reference
A comprehensive survey on FANET-IoT-IoV interactions: Challenges, opportunities, and future directions in 6G-enabled smart cities
10.1007/s00607-025-01602-z · 2026 · External reference
Bridging simplicity and sophistication using glinear: A novel architecture for enhanced time series prediction
10.1016/j.dsp.2025.105702 · 2026 · External reference
10.1109/mcom.001.2500787
10.1109/mcom.001.2500787 · External reference
AI and IoT: Supported sixth generation sensing for water quality assessment to empower sustainable ecosystems
10.1021/acsestwater.4c00360 · 2025 · External reference
Performance Evaluation and Optimization of FANET-IoT-IoV Interactions in 6G-enabled Smart City Applications
10.64509/jicn.23.132 · 2026 · External reference
Decoupling patrolling tasks for water quality monitoring: A multi-agent deep reinforcement learning approach
10.1109/access.2024.3403790 · 2024 · External reference
10.3390/machines13060503
10.3390/machines13060503 · External reference
Decentralized multi-agent federated and reinforcement learning for smart water management and disaster response
10.1016/j.aej.2025.04.033 · 2025 · External reference
10.3389/frwa.2025.1537868
10.3389/frwa.2025.1537868 · External reference
10.3390/s23208540
10.3390/s23208540 · External reference
An efficient IoT based smart water quality monitoring system
10.1007/s11042-023-14504-z · 2023 · External reference
Smart sensors in environmental/water quality monitoring using IoT and cloud services
10.1016/j.teac.2022.e00173 · 2022 · External reference
UAV based long range environment monitoring system with Industry 5.0 perspectives for smart city infrastructure
10.1016/j.cie.2022.108066 · 2022 · External reference
10.3390/s25061918
10.3390/s25061918 · External reference
10.3390/w15112106
10.3390/w15112106 · External reference
Prediction of ecological status of surface water bodies with supervised machine learning classifiers
10.1016/j.scitotenv.2022.159655 · 2023 · External reference
HabLSTM: A Nonstationary Feature Focusing LSTM for Spatiotemporal Prediction of Harmful Algal Bloom
2024 · External reference
10.1007/978-981-96-3886-4_2
10.1007/978-981-96-3886-4_2 · External reference
Multi-UAV Tasking and Coordination for Monitoring and Coverage of Agricultural Farmland
2025 · External reference
10.3390/w17091252
10.3390/w17091252 · External reference
Environmentally-aware and energy-efficient multi-drone coordination and networking for disaster response
10.1109/tnsm.2023.3243543 · 2023 · External reference
Unmanned aerial vehicles in hydrology and water management: Applications, challenges, and perspectives
10.1029/2021wr029925 · 2021 · External reference
Toward autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches
10.1109/comst.2023.3323344 · 2023 · External reference
10.3390/rs14112640
10.3390/rs14112640 · External reference
Review on the change trend, attribution analysis, retrieval, simulation, and prediction of lake surface water temperature
10.1109/jstars.2022.3188788 · 2022 · External reference
Towards operational phytoplankton recognition with automated high-throughput imaging and compact convolutional neural networks
2020 · External reference
Prediction on daily spatial distribution of chlorophyll-a in coastal seas using a synthetic method of remote sensing, machine learning and numerical modeling
10.1016/j.scitotenv.2023.168642 · 2024 · External reference
A physics-informed deep learning framework for estimating thermal stratification in a large deep reservoir
10.1029/2025wr040592 · 2025 · External reference
Deep autoencoders as anomaly detectors: Method and case study in a distributed water treatment plant
10.1016/j.cose.2020.102055 · 2020 · External reference
Anomaly detection in groundwater monitoring data using LSTM-Autoencoder neural networks
10.1007/s10661-024-12848-z · 2024 · External reference
Real-time water quality prediction in water distribution networks using graph neural networks with sparse monitoring data
10.1016/j.watres.2023.121018 · 2024 · External reference
Research progress and framework on the simulation and assessment of fish habitat degradation in lakes
10.1016/j.ecolind.2023.111461 · 2024 · External reference
Game-Theoretic Consensus Deep Learning for Adaptive Flood Prediction in Digital Twin Environments
10.1109/jstars.2025.3596008 · 2025 · External reference
10.3390/automation7040108
10.3390/automation7040108 · External reference
Distributed federated deep reinforcement learning based trajectory optimization for air-ground cooperative emergency networks
10.1109/tvt.2022.3175592 · 2022 · External reference
10.3390/rs15020429
10.3390/rs15020429 · External reference
10.3390/en18174747
10.3390/en18174747 · External reference
Assessment of flood risk using Hierarchical Analysis Process method and Remote Sensing systems through arid catchment in southeastern Tunisia
10.1016/j.jaridenv.2024.105150 · 2024 · External reference
10.3389/frobt.2024.1336612
10.3389/frobt.2024.1336612 · External reference
10.3390/s23073625
10.3390/s23073625 · External reference
Task offloading and resource allocation for multi-UAV asset edge computing with multi-agent deep reinforcement learning
10.1007/s00607-025-01472-5 · 2025 · External reference
From centralized monitoring to cooperative aerial intelligence: A MARL–FANET approach for smart microgrid monitoring and defect analysis
10.1016/j.epsr.2026.113923 · 2027 · External reference
Integrating deep learning techniques for effective river water quality monitoring and management
10.1016/j.jenvman.2024.122477 · 2024 · External reference
10.1007/978-981-96-3886-4_2
10.1007/978-981-96-3886-4_2 · ExternalCitation · doi-reference
Task offloading and resource allocation for multi-UAV asset edge computing with multi-agent deep reinforcement learning
10.1007/s00607-025-01472-5 · ExternalCitation · doi-reference
A comprehensive survey on FANET-IoT-IoV interactions: Challenges, opportunities, and future directions in 6G-enabled smart cities
10.1007/s00607-025-01602-z · ExternalCitation · doi-reference
Anomaly detection in groundwater monitoring data using LSTM-Autoencoder neural networks
10.1007/s10661-024-12848-z · ExternalCitation · doi-reference
An efficient IoT based smart water quality monitoring system
10.1007/s11042-023-14504-z · ExternalCitation · doi-reference
Impacts of climate-induced drought on lake and reservoir biodiversity and ecosystem services: A review
10.1007/s13280-024-02092-7 · ExternalCitation · doi-reference
Decentralized multi-agent federated and reinforcement learning for smart water management and disaster response
10.1016/j.aej.2025.04.033 · ExternalCitation · doi-reference
UAV based long range environment monitoring system with Industry 5.0 perspectives for smart city infrastructure
10.1016/j.cie.2022.108066 · ExternalCitation · doi-reference
Deep autoencoders as anomaly detectors: Method and case study in a distributed water treatment plant
10.1016/j.cose.2020.102055 · ExternalCitation · doi-reference
Bridging simplicity and sophistication using glinear: A novel architecture for enhanced time series prediction
10.1016/j.dsp.2025.105702 · ExternalCitation · doi-reference
Research progress and framework on the simulation and assessment of fish habitat degradation in lakes
10.1016/j.ecolind.2023.111461 · ExternalCitation · doi-reference
From centralized monitoring to cooperative aerial intelligence: A MARL–FANET approach for smart microgrid monitoring and defect analysis
10.1016/j.epsr.2026.113923 · ExternalCitation · doi-reference
Assessment of flood risk using Hierarchical Analysis Process method and Remote Sensing systems through arid catchment in southeastern Tunisia
10.1016/j.jaridenv.2024.105150 · ExternalCitation · doi-reference
Integrating deep learning techniques for effective river water quality monitoring and management
10.1016/j.jenvman.2024.122477 · ExternalCitation · doi-reference
Prediction of ecological status of surface water bodies with supervised machine learning classifiers
10.1016/j.scitotenv.2022.159655 · ExternalCitation · doi-reference
Prediction on daily spatial distribution of chlorophyll-a in coastal seas using a synthetic method of remote sensing, machine learning and numerical modeling
10.1016/j.scitotenv.2023.168642 · ExternalCitation · doi-reference
Smart sensors in environmental/water quality monitoring using IoT and cloud services
10.1016/j.teac.2022.e00173 · ExternalCitation · doi-reference
Real-time water quality prediction in water distribution networks using graph neural networks with sparse monitoring data
10.1016/j.watres.2023.121018 · ExternalCitation · doi-reference
AI and IoT: Supported sixth generation sensing for water quality assessment to empower sustainable ecosystems
10.1021/acsestwater.4c00360 · ExternalCitation · doi-reference
Unmanned aerial vehicles in hydrology and water management: Applications, challenges, and perspectives
10.1029/2021wr029925 · ExternalCitation · doi-reference
A physics-informed deep learning framework for estimating thermal stratification in a large deep reservoir
10.1029/2025wr040592 · ExternalCitation · doi-reference
Decoupling patrolling tasks for water quality monitoring: A multi-agent deep reinforcement learning approach
10.1109/access.2024.3403790 · ExternalCitation · doi-reference
Toward autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches
10.1109/comst.2023.3323344 · ExternalCitation · doi-reference
Review on the change trend, attribution analysis, retrieval, simulation, and prediction of lake surface water temperature
10.1109/jstars.2022.3188788 · ExternalCitation · doi-reference
Game-Theoretic Consensus Deep Learning for Adaptive Flood Prediction in Digital Twin Environments
10.1109/jstars.2025.3596008 · ExternalCitation · doi-reference
10.1109/mcom.001.2500787
10.1109/mcom.001.2500787 · ExternalCitation · doi-reference
Environmentally-aware and energy-efficient multi-drone coordination and networking for disaster response
10.1109/tnsm.2023.3243543 · ExternalCitation · doi-reference
Distributed federated deep reinforcement learning based trajectory optimization for air-ground cooperative emergency networks
10.1109/tvt.2022.3175592 · ExternalCitation · doi-reference
Extreme weather events threaten biodiversity and functions of river ecosystems: Evidence from a meta-analysis
10.1111/brv.12914 · ExternalCitation · doi-reference
10.3389/frobt.2024.1336612
10.3389/frobt.2024.1336612 · ExternalCitation · doi-reference
10.3389/frwa.2025.1537868
10.3389/frwa.2025.1537868 · ExternalCitation · doi-reference
10.3390/automation7040108
10.3390/automation7040108 · ExternalCitation · doi-reference
10.3390/en18174747
10.3390/en18174747 · ExternalCitation · doi-reference
10.3390/info15100609
10.3390/info15100609 · ExternalCitation · doi-reference
10.3390/machines13060503
10.3390/machines13060503 · ExternalCitation · doi-reference
10.3390/rs14112640
10.3390/rs14112640 · ExternalCitation · doi-reference
10.3390/rs15020429
10.3390/rs15020429 · ExternalCitation · doi-reference
10.3390/s23073625
10.3390/s23073625 · ExternalCitation · doi-reference
10.3390/s23208540
10.3390/s23208540 · ExternalCitation · doi-reference
10.3390/s25061918
10.3390/s25061918 · ExternalCitation · doi-reference
10.3390/w15112106
10.3390/w15112106 · ExternalCitation · doi-reference
10.3390/w17091252
10.3390/w17091252 · ExternalCitation · doi-reference
10.3390/w17111566
10.3390/w17111566 · ExternalCitation · doi-reference
Performance Evaluation and Optimization of FANET-IoT-IoV Interactions in 6G-enabled Smart City Applications
10.64509/jicn.23.132 · ExternalCitation · doi-reference
