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A critical assessment and summary on the low carbon energy pile technologies based on the life-cycle perspective: Challenges and prospects
Evaluating the safety and efficiency impacts of forced lane change with negative gaps based on empirical vehicle trajectories
FedViT: Federated continual learning of vision transformer at edge
ElasticDNN: On-Device Neural Network Remodeling for Adapting Evolving Vision Domains at Edge
Integrating the flow regime and water quality effects into a niche-based metacommunity dynamics model for river ecosystems
A Flow Graph-Based Scalable Critical Branch Identification Approach for AC State Estimation Under Load Redistribution Attacks
Microstructural evolutions and impact toughness in simulated welding heat affected zones for a high-strength carbide-free bainitic rail steel
Optical Simulation-Aided Design and Engineering of Monolithic Perovskite/Silicon Tandem Solar Cells
Self-assembly of ammonium assimilation microbiomes regulated by COD/N ratio
Fast DRL-based scheduler configuration tuning for reducing tail latency in edge-cloud jobs
Controllable Single Cooper Pair Splitting in Hybrid Quantum Dot Systems
Thickness-Independent Capacitive Performance of Holey Ti
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Film Prepared through a Mild Oxidation Strategy
A new reinforcement learning-based variable speed limit control approach to improve traffic efficiency against freeway jam waves
Ammonium-assimilating microbiome: A halophilic biosystem rationally optimized by carbon to nitrogen ratios with stable nitrogen conversion and microbial structure
Robust Locomotion Exploiting Multiple Balance Strategies: An Observer-Based Cascaded Model Predictive Control Approach
An online data driven fault diagnosis and thermal runaway early warning for electric vehicle batteries
Temperature-sensing performance of polymer-derived SiAlCN ceramics up to 1000 °C
An Output Bandwidth Optimized 200-Gb/s PAM-4 100-Gb/s NRZ Transmitter With 5-Tap FFE in 28-nm CMOS
Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge
Lightweight and Accurate DNN-Based Anomaly Detection at Edge
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