[HTML][HTML] A novel approach for estimating and predicting uncertainty in water quality index model using machine learning approaches

MG Uddin, S Nash, A Rahman, AI Olbert - Water Research, 2023 - Elsevier
With the significant increase in WQI applications worldwide and lack of specific application
guidelines, accuracy and reliability of WQI models is a major issue. It has been reported that …

Recommender systems for sustainability: overview and research issues

A Felfernig, M Wundara, TNT Tran… - Frontiers in big …, 2023 - frontiersin.org
Sustainability development goals (SDGs) are regarded as a universal call to action with the
overall objectives of planet protection, ending of poverty, and ensuring peace and prosperity …

Psy-llm: Scaling up global mental health psychological services with ai-based large language models

T Lai, Y Shi, Z Du, J Wu, K Fu, Y Dou… - arXiv preprint arXiv …, 2023 - arxiv.org
The demand for psychological counseling has grown significantly in recent years,
particularly with the global outbreak of COVID-19, which has heightened the need for timely …

[PDF][PDF] The Diversity of artificial intelligence applications in marine pollution: A Systematic literature review

J Ning, S Pang, Z Arifin, Y Zhang… - Journal of Marine …, 2024 - researchgate.net
Marine pollution, a major disturbance to the sustainable use of oceans, is becoming more
prevalent around the world. Multidimensional and sustainable ocean governance have …

[HTML][HTML] Water, Resources, and Resilience: Insights from Diverse Environmental Studies

K Pietrucha-Urbanik, J Rak - Water, 2023 - mdpi.com
Water is our most precious resource, and its responsible management and utilization are
paramount in the face of ever-growing environmental challenges.“Water, Resources, and …

Groundwater quality assessment using machine learning models: a comprehensive study on the industrial corridor of a semi-arid region

L Krishnamoorthy, VR Lakshmanan - Environmental Science and …, 2024 - Springer
Water plays a significant role in sustaining the lives of humans and other living organisms.
Groundwater quality analysis has become inevitable, because of increased contamination of …

Real-time aerial detection and reasoning on embedded-UAVs in rural environments

T Lai - IEEE Transactions on Geoscience and Remote …, 2023 - ieeexplore.ieee.org
We present a unified pipeline architecture for a real-time detection system on an embedded
system for unmanned aerial vehicles (UAVs). Neural architectures have been the industry …

Supporting the Demand on Mental Health Services with AI-Based Conversational Large Language Models (LLMs)

T Lai, Y Shi, Z Du, J Wu, K Fu, Y Dou, Z Wang - BioMedInformatics, 2023 - mdpi.com
The demand for psychological counselling has grown significantly in recent years,
particularly with the global outbreak of COVID-19, which heightened the need for timely and …

Surface water quality prediction in the lower Thoubal river watershed, India: A hyper-tuned machine learning approach and DNN-based sensitivity analysis

MH Rahaman, H Sajjad, S Hussain, M Masroor… - Journal of …, 2024 - Elsevier
The accurate and efficient monitoring, assessment, and prediction of water resources is
crucial for the sustenance of life and health of the environment. Traditional methods for …

WaQuPs: A ROS-Integrated Ensemble Learning Model for Precise Water Quality Prediction

F Firdiani, S Mandala, Adiwijaya, AH Abdullah - Applied Sciences, 2023 - mdpi.com
Water presents challenges in swiftly and accurately assessing its quality due to its intricate
composition, diverse sources, and the emergence of new pollutants. Current research tends …