Multi-stage dual-domain progressive network enhances sparse-view CT reconstruction

A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...
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Deep learning–based codon optimization framework boosts protein expression in E coli

Codon optimization is a central strategy in recombinant protein production, enabling genes from one organism to be efficiently expressed in another. Conventional methods typically replace ...
Scientific Research Publishing

Multi-Objective Evolutionary Optimization for Qujing’s Cultural-Tourism Routes ()

School of Information Engineering, Qujing Normal University, Qujing, China. Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this ...
IEEE

Multi-Objective Deep Reinforcement Learning Driven Collaborative Optimization of TSV-Based Microchannel and PDN for 3D ICs

Abstract: This study introduces a multi-objective deep reinforcement learning (MODRL) framework for the concurrent thermal-hydraulic optimization of the through-silicon via (TSV) microchannel heat ...
IEEE

Automated Class Imbalance Learning via Few-shot Multi-Objective Bayesian Optimization with Deep Kernel Gaussian Processes

Abstract: Automated Class Imbalance Learning (AutoCIL) is an emerging paradigm that leverages Combined Algorithm Selection and Hyperparameter Optimization (CASH) to automate the configuration of ...