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Showing 1551–1600 of 3104 papers

TitleStatusHype
Large Population Games on Constrained Unreliable Networks—0
A Kernel-Based Identification Approach to LPV Feedforward: With Application to Motion Systems—0
Rigorous results of limiting behaviors of total tumor size under cyclic intermittent therapy for the system of reversible phenotype-switchable tumor cells—0
Enhanced Iterated local search for the technician routing and scheduling problem—0
No-regret Algorithms for Fair Resource Allocation—0
Virtual Mouse And Assistant: A Technological Revolution Of Artificial Intelligence—0
Real-time scheduling of renewable power systems through planning-based reinforcement learning—0
Hierarchical Deep Learning Model for Degradation Prediction per Look-Ahead Scheduled Battery Usage Profile—0
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent—0
Look-Ahead AC Optimal Power Flow: A Model-Informed Reinforcement Learning Approach—0
Optimal scheduling of park-level integrated energy system considering ladder-type carbon trading mechanism and flexible load—0
Queue Scheduling with Adversarial Bandit Learning—0
Co-Design of Topology, Scheduling, and Path Planning in Automated Warehouses—0
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks—0
Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods—0
Time Series Anomaly Detection in Smart Homes: A Deep Learning Approach—0
Full Stack Optimization of Transformer Inference: a Survey—0
Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling—0
A Reinforcement Learning Approach for Scheduling Problems With Improved Generalization Through Order Swapping—0
MASS: Mobility-Aware Sensor Scheduling of Cooperative Perception for Connected Automated Driving—0
A Data-Driven Polynomial Chaos Expansion-Based Method for Microgrid Ramping Support Capability Assessment and Enhancement—0
Electric Vehicle E-hailing Fleet Dispatching and Charge Scheduling—0
Better Predict the Dynamic of Geometry of In-Pit Stockpiles Using Geospatial Data and Polygon Models—0
DisCO: Portrait Distortion Correction with Perspective-Aware 3D GANs—0
Learning-Based Adaptive User Selection in Millimeter Wave Hybrid Beamforming Systems—0
Learning a Multi-Agent Controller for Shared Energy Storage System—0
Computation and Privacy Protection for Satellite-Ground Digital Twin Networks—0
Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal PredictionCode0
Platform-Independent and Curriculum-Oriented Intelligent Assistant for Higher Education—0
Energy Efficient Computation Offloading in Aerial Edge Networks With Multi-Agent Cooperation—0
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization—0
ML-driven Hardware Cost Model for MLIR—0
On Safety of Passengers Entering a Bus Rapid Transit System from Scheduled Stops—0
Cyclic and Randomized Stepsizes Invoke Heavier Tails in SGD than Constant Stepsize—0
Bayesian Non-parametric Hidden Markov Model for Agile Radar Pulse Sequences Streaming Analysis—0
Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework—0
Optimization of Topology-Aware Job Allocation on a High-Performance Computing Cluster by Neural Simulated AnnealingCode0
Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning—0
An adaptive large neighborhood search heuristic for the multi-port continuous berth allocation problem—0
Event-triggered Hybrid Energy-aware Scheduling in Manufacturing Systems—0
Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary—0
Toward Efficient Transportation Electrification of Heavy-Duty Trucks: Joint Scheduling of Truck Routing and Charging—0
Energy-Efficient Vehicular Edge Computing with One-by-one Access Scheme—0
Scheduling Inference Workloads on Distributed Edge Clusters with Reinforcement Learning—0
Learning in POMDPs is Sample-Efficient with Hindsight Observability—0
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule PropagationCode0
Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints—0
Optimization and scheduling for a large scale urban transportation system in a fast-changing world—0
Investigating the use of ChatGPT for the scheduling of construction projects—0
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning—0
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