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. …”
Get full text

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

Get full text

Self-defined dual charge percolation networks for solution-processed multithreshold transistors by Jung Woo Moon, Seunghan Kim, Jin Hyeon Kim, Sunil V. Barma, Sang Young Jeong, Jinho Keum, Ho Sun Lim, Youngjae Yoo, Han Young Woo, Sae Byeok Jo, Moon Sung Kang, Jeong Ho Cho

“…Abstract This study demonstrates multithreshold engineering of a solution-processed heterojunction electrochemical transistor using a blend of n-type CdSe tetrapod-shaped nanocrystals (TpNCs) and an n-type polymeric organic semiconductor (OSC). …”
Get full text

Satellite Images Unsupervised Classification Using Two Methods Fast Otsu and K-means by Baghdad Science Journal

“…Two unsupervised classifiers for optimum multithreshold are presented; fast Otsu and k-means. The unparametric methods produce an efficient procedure to separate the regions (classes) by select optimum levels, either on the gray levels of image histogram (as Otsu classifier), or on the gray levels of image intensities(as k-mean classifier), which are represent threshold values of the classes. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text