FR2.M3.4
AQSPACENET: HYBRID STATE-SPACE LSTM ARCHITECTURE FOR NEAR-REAL-TIME AIR QUALITY INDEX PREDICTION
Aakash Mallik, Violina Doley, National Institute of Technology Karnataka, India; Anuvab Sen, Georgia Institute of Technology, Atlanta, United States; Subhabrata Roy, Indian Institute of Engineering Science and Technology, India
Session:
FR2.M3: Advanced Techniques in Remote Sensing Data Interpretation and Predictive Modeling I Oral
Track:
AI and Big Data
Location:
Room M3
Presentation Time:
Friday, 8 August, 11:15 - 11:30
Presentation
Discussion
Resources
No resources available.
Session FR2.M3
FR2.M3.1: A PRINCIPAL COMPONENT DIMENSIONAL REDUCTION INVOLVED FAST PREDICTION MODEL FOR SEA SURFACE SCATTERING BASED ON IMPROVED WEN’S SPECTRUM
Yue Liu, Chunlei Dong, Xiao Meng, Lixin Guo, Aobo Xi, Xidian University, China
FR2.M3.2: Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward
Devis Tuia, Swiss Federal Technology Institute of Lausanne, Swaziland; Konrad Schindler, Swiss Federal Institute of Technology Zurich, Switzerland; Begum Demir, Technische Universität Berlin, Germany; Xiao Xiang Zhu, Mrinalini Kochupillai, Technische Universität Munchen, Germany; Sašo Džeroski, Jozef Stefan Institute, Slovenia; Jan N. van Rijn, Leiden University, Netherlands; Fabio Del Frate, University of Rome, Italy; Mihai Datcu, POLITEHNICA Bucharest, Romania; Volker Markl, Technical University Berlin, Germany; Bertrand Le Saux, Rochelle Schneider, European Space Agency, Italy; Gustau Camps-Valls, Universitat de València, Spain; Holger H. Hoos, Leiden University, Netherlands
FR2.M3.3: OPTIMIZING LIGHTWEIGHT PHOTOVOLTAIC FORECASTING MODELS: A DISTILLATION APPROACH
Ifran Rahman Nijhum, Toluwabori Akinola, University College Dublin, Ireland, Ireland; Md Emon Ali, Rajshahi University of Engineering and Technology, Bangladesh; Soumyabrata Dev, University College Dublin, Ireland, Ireland
FR2.M3.4: AQSPACENET: HYBRID STATE-SPACE LSTM ARCHITECTURE FOR NEAR-REAL-TIME AIR QUALITY INDEX PREDICTION
Aakash Mallik, Violina Doley, National Institute of Technology Karnataka, India; Anuvab Sen, Georgia Institute of Technology, Atlanta, United States; Subhabrata Roy, Indian Institute of Engineering Science and Technology, India
FR2.M3.5: A ST-GNN Model for Predicting Landslide Deformation in Eastern Sicily Using COSMO-SkyMed Data
Sadegh Madadi, Mohammad Amin Khalili, Aniello Murano, Domenico Calcaterra, Diego Di Martire, University of Naples, Italy
Resources
No resources available.