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Showing 2726–2750 of 3104 papers

TitleStatusHype
Self-encoding Barnacle Mating Optimizer Algorithm for Manpower Scheduling in Flow Shop—0
Self-Evaluation for Job-Shop Scheduling—0
Self-Nomination: Deep Learning for Decentralized CSI Feedback Reduction in MU-MIMO Systems—0
Semantic-Aware Remote Estimation of Multiple Markov Sources Under Constraints—0
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach—0
Semantic Text Transmission via Prediction with Small Language Models: Cost-Similarity Trade-off—0
Semi-Blind Post-Equalizer SINR Estimation and Dual CSI Feedback for Radar-Cellular Coexistence—0
Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latency—0
semi-PD: Towards Efficient LLM Serving via Phase-Wise Disaggregated Computation and Unified Storage—0
Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence—0
Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks—0
Send Pilot or Data? Leveraging Age of Channel State Information for Throughput Maximization—0
Sensing-Aided Peer-to-Peer Millimeter-Wave Communication—0
Sensing Capacity for Integrated Sensing and Communication Systems in Low-Altitude Economy—0
Sensor Scheduling Design for Complex Networks under a Distributed State Estimation Framework—0
Sensor Scheduling for Linear Systems: A Covariance Tracking Approach—0
Sensor Scheduling in Intrusion Detection Games with Uncertain Payoffs—0
Sentinel: Scheduling Live Streams with Proactive Anomaly Detection in Crowdsourced Cloud-Edge Platforms—0
Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling—0
Sequence-to-sequence models for workload interference—0
Constrained Restless Bandits for Dynamic Scheduling in Cyber-Physical Systems—0
Sequential learning and control: Targeted exploration for robust performance—0
Service Scheduling for Random Requests with Fixed Waiting Costs—0
Service Scheduling for Random Requests with Quadratic Waiting Costs—0
Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem—0
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