:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Rahimi, Iman, Patel, Isha
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2507.06077
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Learning Decision Support System for Open-Pit Mining Optimisation: GPU-Accelerated Planning Under Geological Uncertainty
by: Rahimi, Iman
Published: (2025)

Towards a HIPAA Compliant Agentic AI System in Healthcare
by: Neupane, Subash, et al.
Published: (2025)

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

News and Load: A Quantitative Exploration of Natural Language Processing Applications for Forecasting Day-ahead Electricity System Demand
by: Bai, Yun, et al.
Published: (2023)

Balancing Forecast Accuracy and Switching Costs in Online Optimization of Energy Management Systems
by: Genov, Evgenii, et al.
Published: (2024)

Equity-Aware Geospatial AI for Forecasting Demand-Driven Hospital Locations in Germany
by: Pant, Piyush, et al.
Published: (2025)

Towards Environmentally Equitable AI via Geographical Load Balancing
by: Li, Pengfei, et al.
Published: (2023)

Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A Patch and Transformer-Based Approach
by: Hong, Qiuyi, et al.
Published: (2024)

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

AI and the Net-Zero Journey: Energy Demand, Emissions, and the Potential for Transition
by: Devarakota, Pandu, et al.
Published: (2025)

Balancing Knowledge Delivery and Emotional Comfort in Healthcare Conversational Systems
by: Tsai, Shang-Chi, et al.
Published: (2025)

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset
by: Farahmand, Ebrahim, et al.
Published: (2025)

A Meta-Heuristic Load Balancer for Cloud Computing Systems
by: Sliwko, Leszek, et al.
Published: (2025)

Intelligent Load Balancing in Cloud Computer Systems
by: Sliwko, Leszek
Published: (2025)

Exploitation Strategies in Conditional Markov Chain Search: A case study on the three-index assignment problem
by: Patel, Sahil, et al.
Published: (2024)

ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting
by: Wang, Haichen, et al.
Published: (2025)

Zero-shot Load Forecasting for Integrated Energy Systems: A Large Language Model-based Framework with Multi-task Learning
by: Li, Jiaheng, et al.
Published: (2025)

Forecasting Labor Demand: Predicting JOLT Job Openings using Deep Learning Model
by: Kim, Kyungsu
Published: (2025)

AI in Computational Thinking Education in Higher Education: A Systematic Literature Review
by: Rahimi, Ebrahim, et al.
Published: (2025)

Enabling Ethical AI: A case study in using Ontological Context for Justified Agentic AI Decisions
by: McGee, Liam, et al.
Published: (2025)

Causal Inference in Energy Demand Prediction
by: Ma, Chutian, et al.
Published: (2025)

Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods
by: Puri, Isha, et al.
Published: (2025)

Least-Loaded Expert Parallelism: Load Balancing An Imbalanced Mixture-of-Experts
by: Nguyen, Xuan-Phi, et al.
Published: (2026)

Balancing Safety and Helpfulness in Healthcare AI Assistants through Iterative Preference Alignment
by: Nghiem, Huy, et al.
Published: (2025)

Load and Renewable Energy Forecasting Using Deep Learning for Grid Stability
by: Sarkar, Kamal
Published: (2025)

Balancing Progress and Responsibility: A Synthesis of Sustainability Trade-Offs of AI-Based Systems
by: Kumar, Apoorva Nalini Pradeep, et al.
Published: (2024)

Specification Generation for Neural Networks in Systems
by: Chaudhary, Isha, et al.
Published: (2024)

A Deep Learning Framework for Heat Demand Forecasting using Time-Frequency Representations of Decomposed Features
by: Ramachandran, Adithya, et al.
Published: (2026)

i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance
by: Chen, Haoyang, et al.
Published: (2024)

SparseBalance: Load-Balanced Long Context Training with Dynamic Sparse Attention
by: Xu, Hongtao, et al.
Published: (2026)

DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion Model
by: Wang, Zhixian, et al.
Published: (2023)

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

L-RAG: Balancing Context and Retrieval with Entropy-Based Lazy Loading
by: Voloshyn, Sergii
Published: (2026)

Forecasting Clinical Risk from Textual Time Series: Structuring Narratives for Temporal AI in Healthcare
by: Noroozizadeh, Shahriar, et al.
Published: (2025)

Robustness Test for AI Forecasting of Hurricane Florence Using FourCastNetv2 and Random Perturbations of the Initial Condition
by: Lizerbram, Adam, et al.
Published: (2025)

A Multi-Objective Genetic Algorithm for Healthcare Workforce Scheduling
by: Patel, Vipul, et al.
Published: (2025)

A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting
by: Park, Young-Jin, et al.
Published: (2024)

AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework
by: Luo, Xubin, et al.
Published: (2026)

The Explanation Necessity for Healthcare AI
by: Mamalakis, Michail, et al.
Published: (2024)

Optimising Call Centre Operations using Reinforcement Learning: Value Iteration versus Proximal Policy Optimisation
by: Li, Kwong Ho, et al.
Published: (2025)