Application of neural architecture search in lithology identification by Yuhao Zhang, Hanmin Xiao, Meng Du, Qingjie Liu, Jingwei Tao, Yongcheng Luo, Li Peng, Jianbo Tan

Subjects: “…Neural architecture search…”
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Research on Optimization of Railway Obstacle Detection Model Based on Neural Architecture Search by YAO Weiwei, LYU Yu, ZHANG Huiyuan, XIONG Minjun, DONG Wenbo, LI Chen

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Architecture-aware minimization (A2M): how to find flat minima in neural architecture search by Matteo Gambella, Fabrizio Pittorino, Manuel Roveri

Subjects: “…neural architecture search (NAS)…”
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SCTNet-NAS: efficient semantic segmentation via neural architecture search for cloud-edge collaborative perception by Ruyu Liu, Lin Wang, Zhihao Yu, Haoyu Zhang, Xiufeng Liu, Bo Sun, Xv Huo, Jianhua Zhang

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Intelligent Layer Sharing (ILASH): A Predictive Neural Architecture Search Framework for Multi-Task Applications by Md Hafizur Rahman, Zafaryab Haider, Md Mashfiq Rizvee, Sumaiya Shomaji, Prabuddha Chakraborty

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DSF2-NAS: Dual-Stage Feature Fusion via Network Architecture Search for Classification of Multimodal Remote Sensing Images by Shiyang Feng, Zhaowei Li, Bo Zhang, Tao Chen, Bin Wang

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TUH-NAS: A Triple-Unit NAS Network for Hyperspectral Image Classification by Feng Chen, Baishun Su, Zongpu Jia

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Spatio-Temporal Meta-Graph Learning for Recommendation on Heterogeneous Graphs by Xiaofei Yang, Wenjing Yang, Xiaoshuang Wang, Mei Gao, Lu Zhang

“…In addition, the MG search diverges from the conventional method of predefining MGs using a neural architecture search technique to derive MGs directly from the network. …”
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Leveraging Edge Intelligence for Solar Energy Management in Smart Grids by Trong-Minh Hoang, Tuan-Anh Pham, van-Nhan Nguyen, Duc-Thang Doan, Nhu-Ngoc Dao

“…To optimize performance for edge computing environments, we employed Neural Architecture Search, model pruning, and quantization techniques, reducing both model size and complexity. …”
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SIGNETS: Neural Network Architectures for m-QAM Soft Demodulation by Aravind R. Voggu, Kanish R, Nishith Akula, Lohitaksh Maruvada, Takanori Shimizu, Madhav Rao

“…Through systematic Neural Architecture Search and Hyper-parameter optimization, we develop a family of Convolutional Neural Network architectures that demonstrate robust performance across challenging channel conditions, including multi-path fading, inter-symbol interference, and non-linear distortions, without requiring explicit channel estimation. …”
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OR-FCOS: an enhanced fully convolutional one-stage approach for growth stage identification of Oudemansiella raphanipes by Runze Fang, Huamao Huang, Nuoyan Guo, Haichuan Wei, Shiyi Wang, Haiying Hu, Ming Liu

“…The OR-FCOS uses the MobileNetV3-Large backbone with an efficient multi-scale attention (EMA) module, improving feature extraction efficiency without sacrificing accuracy. A neural architecture search (NAS)-enhanced FCOS decoder replaces both the traditional feature pyramid networks (FPN) and prediction head in FCOS, optimizing feature fusion and prediction. …”
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