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Browsing Interdisciplinary & Smart Design by Publisher 
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    Browsing Interdisciplinary & Smart Design by Publisher "Institute of Electrical and Electronics Engineers Inc. (IEEE)"

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      • Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection 

        Fang, Xiang; Easwaran, Arvind; Genest, Blaise; Suganthan, Ponnuthurai Nagaratnam ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)
        This paper focuses on a significant yet challenging task: out-of-distribution detection (OOD detection), which aims to distinguish and reject test samples with semantic shifts, so as to prevent models trained on in-distribution ...
      • Prediction and Feedback Assisted Evolutionary Algorithms for Scheduling Urban Traffic Signals 

        Lin, Zhongjie; Gao, Kaizhou; Duan, Peiyong; Wu, Naiqi; Suganthan, Ponnuthurai Nagaratnam ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)
        With the acceleration of urbanization, the traffic congestion issue is becoming more and more prominent in large cities. The effective scheduling of urban traffic signals becomes critical. This study proposes three novel ...
      • A Reinforced Neighborhood Search Method Combined With Genetic Algorithm for Multi-Objective Multi-Robot Transportation System 

        Chen, Peng; Liang, Jing; Qiao, Kang Jia; Song, Hui; Suganthan, Ponnuthurai Nagaratnam; Dai, Lou Lei; Ban, Xuan Xuan... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)
        With the rapid advancement of artificial intelligence, autonomous multi-robot systems have been successfully applied to various domains. Therefore, developing intelligent routing and scheduling systems to efficiently ...
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        Underwater Acoustic Signal Denoising Algorithms: A Survey of the State of the Art 

        Gao, Ruobin; Liang, Maohan; Dong, Heng; Luo, Xuewen; Suganthan, Ponnuthurai N. ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)
        Underwater acoustic signal (UAS) denoising is crucial for enhancing the reliability of underwater communication and monitoring systems by mitigating the effects of noise and improving signal clarity. The complex and dynamic ...

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