Artificial intelligence for geoscience: Progress, challenges and perspectives
This paper explores the evolution of geoscientific inquiry, tracing the progression from
traditional physics-based models to modern data-driven approaches facilitated by significant …
traditional physics-based models to modern data-driven approaches facilitated by significant …
Spatially resolved air quality index prediction in megacities with a CNN-Bi-LSTM hybrid framework
Monitoring pollution in megacities is challenging due to their vast urban expanses and
numerous pollution sources. To address this, cutting-edge deep learning models are …
numerous pollution sources. To address this, cutting-edge deep learning models are …
Daily scale air quality index forecasting using bidirectional recurrent neural networks: Case study of Delhi, India
This research was established to accurately forecast daily scale air quality index (AQI) which
is an essential environmental index for decision-making. Researchers have projected …
is an essential environmental index for decision-making. Researchers have projected …
[HTML][HTML] DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era
In the big data era, integrating diverse data modalities poses significant challenges,
particularly in complex fields like healthcare. This paper introduces a new process model for …
particularly in complex fields like healthcare. This paper introduces a new process model for …
Revolutionizing air quality forecasting: Fusion of state-of-the-art deep learning models for precise classification
Effective management of air quality is crucial for protecting public health and enhancing
environmental resilience. As urban areas and industries rapidly expand, there is a growing …
environmental resilience. As urban areas and industries rapidly expand, there is a growing …
[HTML][HTML] An outlier detection framework for Air Quality Index prediction using linear and ensemble models
PK Dongre, V Patel, U Bhoi, NN Maltare - Decision Analytics Journal, 2025 - Elsevier
Abstract The Air Quality Index (AQI) is a key indicator for assessing air quality and its
associated health impacts. Accurate AQI calculations are crucial for reliable air quality …
associated health impacts. Accurate AQI calculations are crucial for reliable air quality …
Observational methods for human studies of transgenerational effects
There are substantial challenges in studying human transgenerational epigenetic outcomes
resulting from environmental conditions. The task requires specialized methods and tools …
resulting from environmental conditions. The task requires specialized methods and tools …
[HTML][HTML] Deep Learning Methods of Satellite Image Processing for Monitoring of Flood Dynamics in the Ganges Delta, Bangladesh
P Lemenkova - Water, 2024 - mdpi.com
Map** spatial data is essential for the monitoring of flooded areas, prognosis of hazards
and prevention of flood risks. The Ganges River Delta, Bangladesh, is the world's largest …
and prevention of flood risks. The Ganges River Delta, Bangladesh, is the world's largest …
A PM2. 5 spatiotemporal prediction model based on mixed graph convolutional GRU and self-attention network
Z Guyu, Y **aoyuan, S Jiansen, H Hongdou… - Environmental …, 2025 - Elsevier
The increase in atmospheric pollution has made it essential to develop accurate models for
predicting pollutant concentrations. The current researches have faced challenges such as …
predicting pollutant concentrations. The current researches have faced challenges such as …
[HTML][HTML] A Bayesian-Optimized Surrogate Model Integrating Deep Learning Algorithms for Correcting PurpleAir Sensor Measurements
Lowcost sensors are widely used for air quality monitoring due to their affordability,
portability and easy maintenance. However, the performance of such sensors, such as …
portability and easy maintenance. However, the performance of such sensors, such as …