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Scheduling

Project or Job Scheduling

Papers

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Showing 1501–1550 of 3104 papers

TitleStatusHype
Intelligent Querying for Target Tracking in Camera Networks using Deep Q-Learning with n-Step Bootstrapping—0
Intelligent Residential Energy Management System using Deep Reinforcement Learning—0
Intelligent Resource Allocation Optimization for Cloud Computing via Machine Learning—0
Intelligent Systems for Information Security—0
Intelligent Task Scheduling for Microservices via A3C-Based Reinforcement Learning—0
Intelligent unit commitment with vehicle-to-grid —A cost-emission optimization—0
A Review of Wind Speed and Wind Power Forecasting Techniques—0
An Enhanced Branch-and-bound Algorithm for the Talent Scheduling Problem—0
Interaction and Conflict Management in AI-assisted Operational Control Loops in 6G—0
Interdependent Scheduling Games—0
Inter-domain Resource Collaboration in Satellite Networks: An Intelligent Scheduling Approach Towards Hybrid Missions—0
Interference-Constrained Scheduling of a Cognitive Multi-hop Underwater Acoustic Network—0
Interference Prediction in Wireless Networks: Stochastic Geometry meets Recursive Filtering—0
Interim Report on Human-Guided Adaptive Hyperparameter Optimization with Multi-Fidelity Sprints—0
Inter-Layer Scheduling Space Exploration for Multi-model Inference on Heterogeneous Chiplets—0
Interleaved One-shot Semi-Persistent Scheduling for BSM Transmissions in C-V2X Networks—0
Interleaved One-Shot SPS Performance under Smart DoS Attacks in C-V2X Networks—0
Learning-Based Multiuser Scheduling in MIMO-OFDM Systems with Hybrid Beamforming—0
Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation—0
Interpretable Deep Reinforcement Learning for Optimizing Heterogeneous Energy Storage Systems—0
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling—0
Data-Driven Computation of Robust Invariant Sets and Gain-Scheduled Controllers for Linear Parameter-Varying Systems—0
Interruptible Algorithms for Multiproblem Solving—0
Introducing PetriRL: An Innovative Framework for JSSP Resolution Integrating Petri nets and Event-based Reinforcement Learning—0
Introduction to AI Planning—0
Identifying Cognitive Radars -- Inverse Reinforcement Learning using Revealed Preferences—0
Investigating Constraint Programming and Hybrid Methods for Real World Industrial Test Laboratory Scheduling—0
Investigating the Monte-Carlo Tree Search Approach for the Job Shop Scheduling Problem—0
Investigating the use of ChatGPT for the scheduling of construction projects—0
Investigation of "Enhancing flexibility and robustness in multi-agent task scheduling"—0
I/O Burst Prediction for HPC Clusters using Darshan Logs—0
IoT-Aerial Base Station Task Offloading with Risk-Sensitive Reinforcement Learning for Smart Agriculture—0
IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode—0
IRS Aided Federated Learning: Multiple Access and Fundamental Tradeoff—0
Energy Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space—0
Energy-Aware Analog Aggregation for Federated Learning with Redundant Data—0
Iterated Variable Neighborhood Search for the resource constrained multi-mode multi-project scheduling problem—0
Jamming Resilient Indoor Factory Deployments: Design and Performance Evaluation—0
Job Scheduling in Datacenters using Constraint Controlled RL—0
Data Centers Job Scheduling with Deep Reinforcement Learning—0
Boomerang: Local sampling on image manifolds using diffusion models—0
Energy and Information Management of Electric Vehicular Network: A Survey—0
Joint AP Probing and Scheduling: A Contextual Bandit Approach—0
Joint Association, Beamforming, and Resource Allocation for Multi-IRS Enabled MU-MISO Systems With RSMA—0
Joint Batching and Scheduling for High-Throughput Multiuser Edge AI with Asynchronous Task Arrivals—0
Joint Beam Scheduling and Power Allocation for SWIPT in Mixed Near- and Far-Field Channels—0
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning—0
Joint Coding and Scheduling Optimization for Distributed Learning over Wireless Edge Networks—0
Joint Communication Scheduling and Resource Allocation for Distributed Edge Learning: Seamless Integration in Next-Generation Wireless Networks—0
An Energy-Based Self-Adaptive Learning Rate for Stochastic Gradient Descent: Enhancing Unconstrained Optimization with VAV method—0
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