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Showing 1026–1050 of 3104 papers

TitleStatusHype
A Novel Distributed PV Power Forecasting Approach Based on Time-LLM—0
Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective—0
A Novel Co-design Peta-scale Heterogeneous Cluster for Deep Learning Training—0
Co-Design of Topology, Scheduling, and Path Planning in Automated Warehouses—0
An optimal scheduling architecture for accelerating batch algorithms on Neural Network processor architectures—0
Co-Design of Sensing, Communications, and Control for Low-Altitude Wireless Networks—0
Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment—0
Accelerating LLM Inference Throughput via Asynchronous KV Cache Prefetching—0
Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers—0
Code Retrieval for MILP Instance Generation—0
Co-channel Interference Management for the Next-Generation Heterogeneous Networks using Deep Leaning—0
An Online Scheduling Algorithm for a Community Energy Storage System—0
An Online Ride-Sharing Path Planning Strategy for Public Vehicle Systems—0
Coarse-to-Fine Curriculum Learning—0
A General Stochastic Optimization Framework for Convergence Bidding—0
Adaptive Diffusion Guidance via Stochastic Optimal Control—0
Coalition-based Planning of Military Operations: Adversarial Reasoning Algorithms in an Integrated Decision Aid—0
CNNLab: a Novel Parallel Framework for Neural Networks using GPU and FPGA-a Practical Study with Trade-off Analysis—0
An Online Learning Approach to Optimizing Time-Varying Costs of AoI—0
CNN-Enabled Scheduling for Probabilistic Real-Time Guarantees in Industrial URLLC—0
Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction—0
An Online Ensemble Learning Model for Detecting Attacks in Wireless Sensor Networks—0
The Energy Cost of Artificial Intelligence Lifecycle in Communication Networks—0
Electricity-gas integrated energy system optimal operation in typical scenario of coal district considering hydrogen heavy trucks—0
Electric Load and Power Forecasting Using Ensemble Gaussian Process Regression—0
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