[HTML][HTML] The latest innovative avenues for the utilization of artificial Intelligence and big data analytics in water resource management
H Kamyab, T Khademi, S Chelliapan… - Results in …, 2023 - Elsevier
The effective management of water resources is essential to environmental stewardship and
sustainable development. Traditional approaches to water resource management (WRM) …
sustainable development. Traditional approaches to water resource management (WRM) …
Artificial intelligence and machine learning-based monitoring and design of biological wastewater treatment systems
Artificial intelligence (AI) and machine learning (ML) are currently used in several areas. The
applications of AI and ML based models are also reported for monitoring and design of …
applications of AI and ML based models are also reported for monitoring and design of …
[HTML][HTML] Performance analysis of the water quality index model for predicting water state using machine learning techniques
Existing water quality index (WQI) models assess water quality using a range of
classification schemes. Consequently, different methods provide a number of interpretations …
classification schemes. Consequently, different methods provide a number of interpretations …
Water quality prediction using KNN imputer and multilayer perceptron
The rapid development to accommodate population growth has a detrimental effect on water
quality, which is deteriorating. Consequently, water quality prediction has emerged as a …
quality, which is deteriorating. Consequently, water quality prediction has emerged as a …
Crop prediction model using machine learning algorithms
Machine learning applications are having a great impact on the global economy by
transforming the data processing method and decision making. Agriculture is one of the …
transforming the data processing method and decision making. Agriculture is one of the …
Predicting lake water quality index with sensitivity-uncertainty analysis using deep learning algorithms
Regular monitoring and assessment of water quality is essential to maintain the quality of
lake water. A commonly used method for assessing water quality is the Water Quality Index …
lake water. A commonly used method for assessing water quality is the Water Quality Index …
A holistic review on how artificial intelligence has redefined water treatment and seawater desalination processes
In the modern era, deep learning (DL), and machine learning (ML), have emerged as
potential technologies that are widely applied in the fields of science, engineering, and …
potential technologies that are widely applied in the fields of science, engineering, and …
[HTML][HTML] Multi-modal image classification of COVID-19 cases using computed tomography and X-rays scans
COVID pandemic across the world and the emergence of new variants have intensified the
need to identify COVID-19 cases quickly and efficiently. In this paper, a novel dual-mode …
need to identify COVID-19 cases quickly and efficiently. In this paper, a novel dual-mode …
[HTML][HTML] An unsupervised cluster-based feature grouping model for early diabetes detection
Diabetes mellitus is often a hyperglycemic condition that poses a substantial threat to human
health. Early diabetes detection decreases morbidity and mortality. Due to the scarcity of …
health. Early diabetes detection decreases morbidity and mortality. Due to the scarcity of …
[HTML][HTML] Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index …
Recently, there has been a significant advancement in the water quality index (WQI) models
utilizing data-driven approaches, especially those integrating machine learning and artificial …
utilizing data-driven approaches, especially those integrating machine learning and artificial …