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Scheduling

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Papers

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Showing 1001–1025 of 3104 papers

TitleStatusHype
A Review on Computational Intelligence Techniques in Cloud and Edge Computing—0
AI-focused HPC Data Centers Can Provide More Power Grid Flexibility and at Lower Cost—0
A Review of Wind Speed and Wind Power Forecasting Techniques—0
Dynamic Scheduling of MPI-based Distributed Deep Learning Training Jobs—0
Dynamic Scheduling Strategies for Resource Optimization in Computing Environments—0
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks—0
D^2MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving—0
Dynamic Sweep Filtering Algorithm for FlexC—0
Dynamic Unicast-Multicast Scheduling for Age-Optimal Information Dissemination in Vehicular Networks—0
Dynamic Uploading Scheduling in mmWave-Based Sensor Networks via Mobile Blocker Detection—0
A Review of Safe Reinforcement Learning Methods for Modern Power Systems—0
AI-Driven Risk-Aware Scheduling for Active Debris Removal Missions—0
DynTaskMAS: A Dynamic Task Graph-driven Framework for Asynchronous and Parallel LLM-based Multi-Agent Systems—0
DyTTP: Trajectory Prediction with Normalization-Free Transformers—0
Adaptive Scheduling for Multi-Task Learning—0
A Comparative Evaluation of Population-based Optimization Algorithms for Workflow Scheduling in Cloud-Fog Environments—0
EAPS: Edge-Assisted Predictive Sleep Scheduling for 802.11 IoT Stations—0
Earth Observation Satellite Scheduling with Graph Neural Networks—0
Eavesdropping on Goal-Oriented Communication: Timing Attacks and Countermeasures—0
D2D-aided LoRaWAN LR-FHSS in Direct-to-Satellite IoT Networks—0
Eco: A Hardware-Software Co-Design for In Situ Power Measurement on Low-end IoT Systems—0
EconEvals: Benchmarks and Litmus Tests for LLM Agents in Unknown Environments—0
Cyclic and Randomized Stepsizes Invoke Heavier Tails in SGD than Constant Stepsize—0
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare—0
Cyber-physical interdependent restoration scheduling for active distribution network via ad hoc wireless communication—0
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