Cover Image

A Spatiotemporal Radar-Based Precipitation Model for Water Level Prediction and Flood Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dhankhar, Sakshi, Wittek, Stefan, Eivazi, Hamidreza, Rausch, Andreas
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SurgeryLSTM: A Time-Aware Neural Model for Accurate and Explainable Length of Stay Prediction After Spine Surgery
by: Cho, Ha Na, et al.
Published: (2025)

IceBench-S2S: A Benchmark of Deep Learning for Challenging Subseasonal-to-Seasonal Daily Arctic Sea Ice Forecasting in Deep Latent Space
by: Xu, Jingyi, et al.
Published: (2026)

Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models
by: Aghabagherloo, Alireza, et al.
Published: (2025)

Towards Deep Learning Surrogate for the Forward Problem in Electrocardiology: A Scalable Alternative to Physics-Based Models
by: Ogbomo-Harmitt, Shaheim, et al.
Published: (2025)

BrainMetDetect: Predicting Primary Tumor from Brain Metastasis MRI Data Using Radiomic Features and Machine Learning Algorithms
by: Sadeghsalehi, Hamidreza
Published: (2024)

Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data
by: Menges, Daniel, et al.
Published: (2024)

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections
by: Dhimish, Mahmoud
Published: (2025)

UniCrop: A Universal, Multi-Source Data Engineering Pipeline for Scalable Crop Yield Prediction
by: Khidirova, Emiliya, et al.
Published: (2026)

DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks
by: Squires, Matthew, et al.
Published: (2024)

AI Driven Water Segmentation with deep learning models for Enhanced Flood Monitoring
by: Mou, Sanjida Afrin, et al.
Published: (2025)

Large-Scale Model Enabled Semantic Communication Based on Robust Knowledge Distillation
by: Ding, Kuiyuan, et al.
Published: (2025)

LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration
by: Wang, Dingrong, et al.
Published: (2024)

An Explainable Deep Learning-Based Method For Schizophrenia Diagnosis Using Generative Data-Augmentation
by: Saadatinia, Mehrshad, et al.
Published: (2023)

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms
by: Pokharel, Atit, et al.
Published: (2024)

AI-Based Detection of Temporal Changes in MR-Linac Images Acquired During Routine Prostate Radiotherapy
by: Park, Seungbin, et al.
Published: (2026)

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction
by: Onsu, Murat Arda, et al.
Published: (2026)

Deep Generative Models for Enhanced Vitreous OCT Imaging
by: Sarrocco, Simone, et al.
Published: (2025)

The Framework That Survives Bad Models: Human-AI Collaboration For Clinical Trials
by: Chen, Yao, et al.
Published: (2025)

On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction
by: Han, Tianyu, et al.
Published: (2024)

Language Models for Automated Classification of Brain MRI Reports and Growth Chart Generation
by: Daniali, Maryam, et al.
Published: (2025)

CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data
by: Gudavalli, Chandrakanth, et al.
Published: (2024)

A Comprehensive Framework for Uncertainty Quantification of Voxel-wise Supervised Models in IVIM MRI
by: Casali, Nicola, et al.
Published: (2025)

Comparative Evaluation of Generative AI Models for Chest Radiograph Report Generation in the Emergency Department
by: Lim, Woo Hyeon, et al.
Published: (2025)

GeoScatt-GNN: A Geometric Scattering Transform-Based Graph Neural Network Model for Ames Mutagenicity Prediction
by: Zoubir, Abdeljalil, et al.
Published: (2024)

CogGen: Cognitive-Load-Informed Fully Unsupervised Deep Generative Modeling for Compressively Sampled MRI Reconstruction
by: Zhu, Qingyong, et al.
Published: (2026)

Vision Transformers for Multi-Variable Climate Downscaling: Emulating Regional Climate Models with a Shared Encoder and Multi-Decoder Architecture
by: Merizzi, Fabio, et al.
Published: (2025)

Physics-Informed Neural Networks vs. Physics Models for Non-Invasive Glucose Monitoring: A Comparative Study Under Noise-Stressed Synthetic Conditions
by: Gani, Riyaadh
Published: (2025)

Cluster-Segregate-Perturb (CSP): A Model-agnostic Explainability Pipeline for Spatiotemporal Land Surface Forecasting Models
by: Verma, Tushar, et al.
Published: (2024)

Direct Video-Based Spatiotemporal Deep Learning for Cattle Lameness Detection
by: Sohan, Md Fahimuzzman, et al.
Published: (2025)

Enhancing Fluorescence Lifetime Parameter Estimation Accuracy with Differential Transformer Based Deep Learning Model Incorporating Pixelwise Instrument Response Function
by: Erbas, Ismail, et al.
Published: (2024)

Nonlinear model reduction for operator learning
by: Eivazi, Hamidreza, et al.
Published: (2024)

Diffusion-Based Electrocardiography Noise Quantification via Anomaly Detection
by: Han, Tae-Seong, et al.
Published: (2025)

Research on Feature Extraction Data Processing System For MRI of Brain Diseases Based on Computer Deep Learning
by: Xiao, Lingxi, et al.
Published: (2024)

FQPDR: Federated Quantum Neural Network for Privacy-preserving Early Detection of Diabetic Retinopathy
by: De, Debashis, et al.
Published: (2026)

Semantic Successive Refinement: A Generative AI-aided Semantic Communication Framework
by: Zhang, Kexin, et al.
Published: (2024)

Improving Cancer Imaging Diagnosis with Bayesian Networks and Deep Learning: A Bayesian Deep Learning Approach
by: Xi, Pei, et al.
Published: (2024)

Pediatric Appendicitis Detection from Ultrasound Images
by: Hosseinabadi, Fatemeh, et al.
Published: (2025)

DAPS++: Rethinking Diffusion Inverse Problems with Decoupled Posterior Annealing
by: Chen, Hao, et al.
Published: (2025)

Concept-based Explainable Malignancy Scoring on Pulmonary Nodules in CT Images
by: Dumaev, Rinat I., et al.
Published: (2024)

Hamming Attention Distillation: Binarizing Keys and Queries for Efficient Long-Context Transformers
by: Horton, Mark, et al.
Published: (2025)