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Showing 576–600 of 3104 papers

TitleStatusHype
A proof of contribution in blockchain using game theoretical deep learning model—0
A centralized reinforcement learning method for multi-agent job scheduling in Grid—0
Collective discrete optimisation as judgment aggregation—0
A Profit Sharing Mechanism for Coordinated Power Traffic System—0
Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling—0
A probabilistic scheduling algorithm for networked control systems—0
A probabilistic algorithm for scheduling networked control systems under data losses—0
A hybrid exact-ACO algorithm for the joint scheduling, power and cluster assignment in cooperative wireless networks—0
1-Bit Compressive Sensing for Efficient Federated Learning Over the Air—0
Combinatorial Optimization via LLM-driven Iterated Fine-tuning—0
Combinatorial Reinforcement Learning Based Scheduling for DNN Execution on Edge—0
A Priority-Aware Replanning and Resequencing Framework for Coordination of Connected and Automated Vehicles—0
A Predictive Autoscaler for Elastic Batch Jobs—0
Universal Backdoor Attacks Detection via Adaptive Adversarial Probe—0
A prediction-based approach for online dynamic patient scheduling: a case study in radiotherapy treatment—0
A Bring-Your-Own-Model Approach for ML-Driven Storage Placement in Warehouse-Scale Computers—0
A Holistic Review on Advanced Bi-directional EV Charging Control Algorithms—0
Acela: Predictable Datacenter-level Maintenance Job Scheduling—0
Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency—0
Approximating Trajectory Constraints with Machine Learning -- Microgrid Islanding with Frequency Constraints—0
A History-Guided Regional Partitioning Evolutionary Optimization for Solving the Flexible Job Shop Problem with Limited Multi-load Automated Guided Vehicles—0
Approximating Optimal Labelings for Temporal Connectivity—0
Approximate matrix completion based on cavity method—0
A Hierarchical Temporal Planning-Based Approach for Dynamic Hoist Scheduling Problems—0
Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training—0
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