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Papers

Showing 28012825 of 3104 papers

TitleStatusHype
A Novel Co-design Peta-scale Heterogeneous Cluster for Deep Learning Training0
A Novel Distributed PV Power Forecasting Approach Based on Time-LLM0
A novel evolutionary-based neuro-fuzzy task scheduling approach to jointly optimize the main design challenges of heterogeneous MPSoCs0
A Novel Feeder-level Microgrid Unit Commitment Algorithm Considering Cold-load Pickup, Phase Balancing, and Reconfiguration0
A novel feed rate scheduling method based on Sigmoid function with chord error and kinematics constraints0
A Novel Grid-forming Voltage Control Strategy for Supplying Unbalanced Microgrid Loads Using Inverter-based Resources0
A Novel Metaheuristics To Solve Mixed Shop Scheduling Problems0
A Novel Multi-Agent Scheduling Mechanism for Adaptation of Production Plans in Case of Supply Chain Disruptions0
A Novel Multi-Agent System for Complex Scheduling Problems0
A novel pedestrian road crossing simulator for dynamic traffic light scheduling systems0
A Novel Prediction Setup for Online Speed-Scaling0
A novel S-shape based NURBS interpolation with acc-jerk- Continuity and round-off error elimination0
An SMT Based Compositional Algorithm to Solve a Conflict-Free Electric Vehicle Routing Problem0
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering0
Answer-Set Programming for Lexicographical Makespan Optimisation in Parallel Machine Scheduling0
Anytime and Efficient Coalition Formation with Spatial and Temporal Constraints0
Anytime Belief Propagation Using Sparse Domains0
Anytime Diagnosis for Reconfiguration0
Anytime-Lidar: Deadline-aware 3D Object Detection0
AoI-Delay Tradeoff in Mobile Edge Caching: A Mixed-Order Drift-Plus-Penalty Algorithm0
AoI-minimizing Scheduling in UAV-relayed IoT Networks0
A Particle Swarm Inspired Approach for Continuous Distributed Constraint Optimization Problems0
A Polynomial Time Approximation Scheme for a Single Machine Scheduling Problem Using a Hybrid Evolutionary Algorithm0
A polynomial-time scheduling approach to minimise idle energy consumption: an application to an industrial furnace0
Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting0
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