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Scheduling

Project or Job Scheduling

Papers

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Showing 1201–1250 of 3104 papers

TitleStatusHype
A novel S-shape based NURBS interpolation with acc-jerk- Continuity and round-off error elimination—0
Age of Information Optimization in a RIS-Assisted Wireless Network—0
Accurate GPU Memory Prediction for Deep Learning Jobs through Dynamic Analysis—0
A Bayesian Approach to Characterize Unknown Interference Power in Wireless Networks—0
Deep progressive reinforcement learning-based flexible resource scheduling framework for IRS and UAV-assisted MEC system—0
1-Bit Compressive Sensing for Efficient Federated Learning Over the Air—0
Communication-Control Codesign for Large-Scale Wireless Networked Control Systems—0
Communication Contention Aware Scheduling of Multiple Deep Learning Training Jobs—0
A Novel Prediction Setup for Online Speed-Scaling—0
COMET: Towards Partical W4A4KV4 LLMs Serving—0
Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation—0
A novel pedestrian road crossing simulator for dynamic traffic light scheduling systems—0
Age of Information Minimization using Multi-agent UAVs based on AI-Enhanced Mean Field Resource Allocation—0
Combining Monte-Carlo and Hyper-heuristic methods for the Multi-mode Resource-constrained Multi-project Scheduling Problem—0
Combining Drift Analysis and Generalized Schema Theory to Design Efficient Hybrid and/or Mixed Strategy EAs—0
A Novel Multi-Agent System for Complex Scheduling Problems—0
Combined Scheduling, Memory Allocation and Tensor Replacement for Minimizing Off-Chip Data Accesses of DNN Accelerators—0
A Novel Multi-Agent Scheduling Mechanism for Adaptation of Production Plans in Case of Supply Chain Disruptions—0
Age-of-information minimization under energy harvesting and non-stationary environment—0
Combinatorial Reinforcement Learning Based Scheduling for DNN Execution on Edge—0
A Novel Metaheuristics To Solve Mixed Shop Scheduling Problems—0
Combinatorial Optimization via LLM-driven Iterated Fine-tuning—0
A Novel Grid-forming Voltage Control Strategy for Supplying Unbalanced Microgrid Loads Using Inverter-based Resources—0
Age of Information in Multi-Relay Networks with Maximum Age Scheduling—0
Collective discrete optimisation as judgment aggregation—0
Collaborative Wideband Spectrum Sensing and Scheduling for Networked UAVs in UTM Systems—0
A novel feed rate scheduling method based on Sigmoid function with chord error and kinematics constraints—0
Collaborative Speculative Inference for Efficient LLM Inference Serving—0
Feedback-Free Resource Scheduling for Flexible Multi-BS Cooperation in FD-RAN—0
Collaborative Pure Exploration in Kernel Bandit—0
A Novel Feeder-level Microgrid Unit Commitment Algorithm Considering Cold-load Pickup, Phase Balancing, and Reconfiguration—0
Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning—0
Adaptive Group Collaborative Artificial Bee Colony Algorithm—0
Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning—0
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data—0
Collaborative Inter-Terminal Transportation of Containers—0
A novel evolutionary-based neuro-fuzzy task scheduling approach to jointly optimize the main design challenges of heterogeneous MPSoCs—0
Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management—0
Federated Meta Learning Enhanced Acoustic Radio Cooperative Framework for Ocean of Things Underwater Acoustic Communications—0
Collaborative Evolving Strategy for Automatic Data-Centric Development—0
Federated Learning With Energy Harvesting Devices: An MDP Framework—0
Federated Learning via Unmanned Aerial Vehicle—0
Cognitive Radio Resource Scheduling using Multi agent QLearning for LTE—0
A Novel Distributed PV Power Forecasting Approach Based on Time-LLM—0
FedSS: Federated Learning with Smart Selection of clients—0
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources—0
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms—0
Efficient Wireless Federated Learning with Partial Model Aggregation—0
Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach—0
Co-Design of Topology, Scheduling, and Path Planning in Automated Warehouses—0
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