Cover Image

Prediction and Forecast of Short-Term Drought Impacts Using Machine Learning to Support Mitigation and Adaptation Efforts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Geli, Hatim M. E., Omar, Islam, Elshinawy, Mona Y., DuBios, David W., Prehodko, Lara, Smith, Kelly H, Badawy, Abdel-Hameed A.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence F.2.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Testing the Efficacy of Hyperparameter Optimization Algorithms in Short-Term Load Forecasting
by: Hakyemez, Tugrul Cabir, et al.
Published: (2024)

A Prescriptive Framework for Determining Optimal Days for Short-Term Traffic Counts
by: Mukwaya, Arthur, et al.
Published: (2025)

Quantitative immunohistochemical expression of GP88 in invasive ductal carcinoma (IDC) of human breast cancer
by: Mona Abdel-Hamed Yehia
Published: (2021)

Are We Winning the Wrong Game? Revisiting Evaluation Practices for Long-Term Time Series Forecasting
by: Phungtua-eng, Thanapol, et al.
Published: (2026)

The Geometry of Truth: Layer-wise Semantic Dynamics for Hallucination Detection in Large Language Models
by: Mir, Amir Hameed
Published: (2025)

Improving Commonsense Bias Classification by Mitigating the Influence of Demographic Terms
by: Lee, JinKyu, et al.
Published: (2024)

TrojanWhisper: Evaluating Pre-trained LLMs to Detect and Localize Hardware Trojans
by: Faruque, Md Omar, et al.
Published: (2024)

Unleashing GHOST: An LLM-Powered Framework for Automated Hardware Trojan Design
by: Faruque, Md Omar, et al.
Published: (2024)

Neuromorphic Processor Employing FPGA Technology with Universal Interconnections
by: Harlikar, Pracheta, et al.
Published: (2025)

Earthquakes Three-Stage Early Warning and Short-Term Prediction
by: Kachakhidze, Manana, et al.
Published: (2024)

A generalised editor calculus (Short Paper)
by: Bennetzen, Benjamin, et al.
Published: (2025)

TFMAdapter: Lightweight Instance-Level Adaptation of Foundation Models for Forecasting with Covariates
by: Dange, Afrin, et al.
Published: (2025)

MSMixer: Learned Multi-Scale Temporal Mixing with Complementary Linear Shortcut for Long-Term Time Series Forecasting
by: Cherif, Ahmed
Published: (2026)

Approximately Partitioning Vertices into Short Paths
by: Gong, Mingyang, et al.
Published: (2026)

HPC Application Parameter Autotuning on Edge Devices: A Bandit Learning Approach
by: Hossain, Abrar, et al.
Published: (2025)

Utilizing Precise and Complete Code Context to Guide LLM in Automatic False Positive Mitigation
by: Chen, Jinbao, et al.
Published: (2024)

Guardians of the Web: The Evolution and Future of Website Information Security
by: Islam, Md Saiful, et al.
Published: (2025)

Continual Learning, Not Training: Online Adaptation For Agents
by: Jaglan, Aman, et al.
Published: (2025)

Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
by: Hedar, Abdel-Rahman, et al.
Published: (2024)

Bidirectional EV charger with ancillary power quality capabilities
by: Jorge Lara
Published: (2022)

Mitigating the Impact of Malware Evolution on API Sequence-based Windows Malware Detector
by: Wei, Xingyuan, et al.
Published: (2024)

Early-Stage Prediction of Review Effort in AI-Generated Pull Requests
by: Minh, Dao Sy Duy, et al.
Published: (2026)

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability
by: Rohde, Wolfgang
Published: (2026)

iThermTroj: Exploiting Intermittent Thermal Trojans in Multi-Processor System-on-Chips
by: Elahi, Mehdi, et al.
Published: (2025)

Trojan Playground: A Reinforcement Learning Framework for Hardware Trojan Insertion and Detection
by: Sarihi, Amin, et al.
Published: (2023)

Static Reuse Profile Estimation for Array Applications
by: Razzak, Abdur, et al.
Published: (2024)

The Seeker's Dilemma: Realistic Formulation and Benchmarking for Hardware Trojan Detection
by: Sarihi, Amin, et al.
Published: (2024)

Hiding in Plain Sight: Reframing Hardware Trojan Benchmarking as a Hide&Seek Modification
by: Sarihi, Amin, et al.
Published: (2024)

Scalable Experimental Bounds for Entangled Quantum State Fidelities
by: Aktar, Shamminuj, et al.
Published: (2022)

Quantum Graph Transformer for NLP Sentiment Classification
by: Aktar, Shamminuj, et al.
Published: (2025)

TrojanForge: Generating Adversarial Hardware Trojan Examples Using Reinforcement Learning
by: Sarihi, Amin, et al.
Published: (2024)

Static Estimation of Reuse Profiles for Arrays in Nested Loops
by: Razzak, Abdur, et al.
Published: (2025)

Hybrid Quantum–Classical Graph Transformers for Efficient Sentiment Analysis
by: Shamminuj Aktar, et al.
Published: (2026)

Time-to-Injury Forecasting in Elite Female Football: A DeepHit Survival Approach
by: Catterall, Victoria, et al.
Published: (2026)

Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting
by: He, Hui, et al.
Published: (2022)

Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory
by: Jiang, Rongjie, et al.
Published: (2026)

Error Mitigation for TDoA UWB Indoor Localization using Unsupervised Machine Learning
by: Duong, Phuong Bich, et al.
Published: (2024)

Multimodal Generative AI for Story Point Estimation in Software Development
by: Islam, Mohammad Rubyet, et al.
Published: (2025)

Data Scheduling Algorithm for Scalable and Efficient IoT Sensing in Cloud Computing
by: Mohammad, Noor Islam S.
Published: (2025)

AgenticAI-DialogGen: Topic-Guided Conversation Generation for Fine-Tuning and Evaluating Short- and Long-Term Memories of LLMs
by: Perera, Manoj Madushanka, et al.
Published: (2026)