:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Rahimi, Iman
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2511.18296
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AI-Based Demand Forecasting and Load Balancing for Optimising Energy use in Healthcare Systems: A real case study
by: Rahimi, Iman, et al.
Published: (2025)

Scenarios Engineering driven Autonomous Transportation in Open-Pit Mines
by: Teng, Siyu, et al.
Published: (2024)

Scenario Engineering for Autonomous Transportation: A New Stage in Open-Pit Mines
by: Teng, Siyu, et al.
Published: (2024)

Bi-Objective Evolutionary Optimization for Large-Scale Open Pit Mine Scheduling Problem under Uncertainty with Chance Constraints
by: Pathiranage, Ishara Hewa, et al.
Published: (2025)

Effective Explanations Support Planning Under Uncertainty
by: Zhou, Hanqi, et al.
Published: (2026)

On the Use of Evolutionary Optimization for the Dynamic Chance Constrained Open-Pit Mine Scheduling Problem
by: Pathiranage, Ishara Hewa, et al.
Published: (2026)

Edge-Based Learning for Improved Classification Under Adversarial Noise
by: Kansana, Manish, et al.
Published: (2025)

Preservation of Feature Stability in Machine Learning Under Data Uncertainty for Decision Support in Critical Domains
by: Capała, Karol, et al.
Published: (2024)

Optimisation of Aircraft Maintenance Schedules
by: Urquhart, Neil, et al.
Published: (2025)

Multi-Objective Deep Reinforcement Learning for Optimisation in Autonomous Systems
by: Rosero, Juan C., et al.
Published: (2024)

Synthetic Geology: Structural Geology Meets Deep Learning
by: Ghyselincks, Simon, et al.
Published: (2025)

Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs
by: Tang, Wenjing, et al.
Published: (2025)

HyPlan: Hybrid Learning-Assisted Planning Under Uncertainty for Safe Autonomous Driving
by: Pfaffmann, Donald, et al.
Published: (2025)

GPU-Accelerated Deep Learning for Heatwave Prediction and Urban Heat Risk Assessment
by: Alihodžić, Adis
Published: (2026)

MineAnyBuild: Benchmarking Spatial Planning for Open-world AI Agents
by: Wei, Ziming, et al.
Published: (2025)

Optimisation in Neurosymbolic Learning Systems
by: van Krieken, Emile
Published: (2024)

A GPU-Accelerated RAG-Based Telegram Assistant for Supporting Parallel Processing Students
by: Tel-Zur, Guy
Published: (2025)

Decision-Focused Learning Enhanced by Automated Feature Engineering for Energy Storage Optimisation
by: Alkhulaifi, Nasser, et al.
Published: (2025)

Risk-aware Meta-level Decision Making for Exploration Under Uncertainty
by: Ott, Joshua, et al.
Published: (2022)

MedBayes-Lite: Bayesian Uncertainty Quantification for Safe Clinical Decision Support
by: Hossain, Elias, et al.
Published: (2025)

GPU Accelerated Compact-Table Propagation
by: Santi, Enrico, et al.
Published: (2025)

ScheduleStream: Temporal Planning with Samplers for GPU-Accelerated Multi-Arm Task and Motion Planning & Scheduling
by: Garrett, Caelan, et al.
Published: (2025)

Deep Learning-Based Digitization of Overlapping ECG Images with Open-Source Python Code
by: Karbasi, Reza, et al.
Published: (2025)

Artificial Intelligence-Driven Clinical Decision Support Systems
by: Alkan, Muhammet, et al.
Published: (2025)

Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support
by: Mahajan, Anubha, et al.
Published: (2024)

Zero-shot Microclimate Prediction with Deep Learning
by: Deznabi, Iman, et al.
Published: (2024)

JaxWildfire: A GPU-Accelerated Wildfire Simulator for Reinforcement Learning
by: Çakır, Ufuk, et al.
Published: (2025)

Mahjax: A GPU-Accelerated Mahjong Simulator for Reinforcement Learning in JAX
by: Nishimori, Soichiro, et al.
Published: (2026)

DeLLMa: Decision Making Under Uncertainty with Large Language Models
by: Liu, Ollie, et al.
Published: (2024)

Identification and Uses of Deep Learning Backbones via Pattern Mining
by: Livanos, Michael, et al.
Published: (2024)

POETS: Uncertainty-Aware LLM Optimization via Compute-Efficient Policy Ensembles
by: Menet, Nicolas, et al.
Published: (2026)

UncertaintyZoo: A Unified Toolkit for Quantifying Predictive Uncertainty in Deep Learning Systems
by: Wu, Xianzong, et al.
Published: (2025)

Formalization of Dialogue in the Decision Support System of Dr. Watson Type
by: Goldberg, Saveli, et al.
Published: (2024)

AMDS: Attack-Aware Multi-Stage Defense System for Network Intrusion Detection with Two-Stage Adaptive Weight Learning
by: Olukola, Oluseyi, et al.
Published: (2026)

OpenEstimate: Evaluating LLMs on Reasoning Under Uncertainty with Real-World Data
by: Renda, Alana, et al.
Published: (2025)

Clinician-in-the-Loop Smart Home System to Detect Urinary Tract Infection Flare-Ups via Uncertainty-Aware Decision Support
by: Ugwu, Chibuike E., et al.
Published: (2025)

GPU-Accelerated ANNS: Quantized for Speed, Built for Change
by: McCoy, Hunter, et al.
Published: (2026)

Uncertainty as a Planning Signal: Multi-Turn Decision Making for Goal-Oriented Conversation
by: Ling, Xinyi, et al.
Published: (2026)

Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
by: NVIDIA, et al.
Published: (2025)

Geolog-IA: Conversational System for Academic Theses
by: Pozo, Micaela Fuel, et al.
Published: (2025)