Energy-Efficient SAR Coherent Change Detection Based on Deep Multithreshold Spiking-UNet by Xinyi Ye, Yanxing Liu, Zihan Wang, Yizhe Fan, Bingchen Zhang

“…Second, we input the spike images into a novel deep SNN, multithreshold Spiking-UNet. By representing information in the form of sparse spike flows, our proposed change detection model can reduce the energy consumption of CCD while maintaining excellent detection capabilities. …”
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A multimode and multithreshold approach for energy efficiency in Internet of things systems by Hayfa Ayadi, Ahmed Zouinkhi, Thierry Val, Boumedyen Boussaid, M Naceur Abdelkrim

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Optimized Two-Stage Anomaly Detection and Recovery in Smart Grid Data Using Enhanced DeBERTa-v3 Verification System by Xiao Liao, Wei Cui, Min Zhang, Aiwu Zhang, Pan Hu

“…The increasing sophistication of cyberattacks on smart grid infrastructure demands advanced anomaly detection and recovery systems that balance high recall rates with acceptable precision while providing reliable data restoration capabilities. …”
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GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust Regression by Wenting Zhang, Tao Lai, Yuanhui Mo, Haifeng Huang, Qingsong Wang, Zhihua Zhou

“…The method first constructs a multithreshold detection framework in the amplitude-phase dual-domain and combines the wavelet-Monte Carlo confidence screening strategy to achieve precise identification of engineering interference. …”
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Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models by Ahmad Chaddad

“…A pathologic area was detected using multithresholding segmentation with morphological operations of MR images. …”
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