Breast Cancer MRI Classification Based on Fractional Entropy Image Enhancement and Deep Feature Extraction by Ali M. Hasan, Asaad F. Qasim, Hamid A. Jalab, Rabha W. Ibrahim

“…In this study, a fully automated and efficient deep features extraction algorithm that exploits the spatial information obtained from both T2W-TSE and STIR MRI sequences to discriminate between pathological and healthy breast MRI scans. …”
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Nanosecond Ferroelectric Switching of Intralayer Excitons in Bilayer 3R-MoS_{2} through Coulomb Engineering by Jing Liang, Yuan Xie, Dongyang Yang, Shangyi Guo, Kenji Watanabe, Takashi Taniguchi, Jerry I. Dadap, David Jones, Ziliang Ye

“…High-speed, nonvolatile tunability is critical for advancing reconfigurable photonic devices used in neuromorphic information processing, sensing, and communication. …”
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The Output Characteristics of the Photovoltaic Array for Laser Wireless Power Transmission Within Non-Kolmogorov Turbulence considering Pointing Error by Zhenyang Xiong, Xing Du, Guoning Xu, Hao Du, Zhongzhen Jia, Sheng Wang, Rong Cai, Guixuan Ding

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Intelligence data acquisition based on embedded system in Chinese cuisine cooker (CCICR V1.0) by Jianbao Zhang, Deyi Wang, Shiping Bao, Xin Chang, Yi Liang

“…This leads to an increase in automation efficiency of 89.9%. The weighing module demonstrates a maximum relative error of only 0.288%, while the attitude sensor experiment shows an attitude information error of just 0.22°C. …”
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Risk Prediction of Coal and Gas Outburst Based on Abnormal Gas Concentration in Blasting Driving Face by Liming Qiu, Yujie Peng, Dazhao Song

“…There are strong correlations between the growth rate, peak value, and decay rate of gas concentration after blasting and K1 value, and the maximum correlation coefficient is 0.92. Using the prediction model, 28 times of jet holes and 1 small outburst event are predicted successfully, and the efficiency of the prediction model is 76.39%. …”
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Different Estimation Methods Using Ranked Set Sampling for the Ramos–Louzada Distribution by Diaa S. Metwally, Amal S. Hassan, Mohammed Elgarhy, Ehab M. Almetwally, Abdoulie Faal, Ahmed M. Gemeay

“…By evaluating the estimated quality for SRS and RSS based on the partial and total ranking metrics, we conclude that the maximum likelihood and maximum product spacing approaches seem very useful for both sampling processes. …”
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Achievable Rate Optimization for Reconfigurable Intelligent Surface-Aided Multi-User Movable Antenna Systems by Liji Yu, Yuhui Ren

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Equity analysis of bus network balance from the perspective of spatial morphology and service capability by Hui Li, Chao Chen, Ying Yuan, Xiaohui Xia, Qianye Huang, Lianhong Ye, Zongcai Huang

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Impact of twin shield tunnel construction on the deformation of bridge pile groups beneath multiple bridges: a case study by Lan Deng, Jizhixian Liu, Chenze Huang, Shan Yang, Junzhou Huang, Junzhou Huang, Cai Wu

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Large-diameter ceramic room-temperature flash sintering technology based on new carbon electrodes by Zhuo Liu, Zhixing He, Zongjian Li, She Chen, Li Cheng, Xinhao Zhao, Xuetong Zhao, Guilai Yin, Nianping Yan, Jinling Liu, Xilin Wang, Zhidong Jia

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1.96-μm Tm:YAG Ceramic Laser by Haiyong Zhu, Yongchang Zhang, Jing Zhang, Yaoju Zhang, Yanmin Duan, Xiukai Ruan, Jian Zhang, Dingyuan Tang

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Compressive transmission scheme for power regulation of embedded 5G communication devices by Min Zhu, Xianghua Liu, Zhanxiang Ye, Salwa Othmen, Ayman Alfahid, Aymen Flah, Zdenek Slanina

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Feature Analysis for Motor Imagery EEG Signals with Different Classification Schemes by Ismail Sarıtas, Esra Kaya

“…A Brain-Computer Interface (BCI) is a communication system that decodes and transfers information directly from the brain to external devices. …”
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Identification of coevolving positions by ancestral reconstruction by Michael G. Nelson, David Talavera

“…The identification of coevolving positions within proteins remains contentious, with most methods disregarding the phylogenetic information. Here, we present a time-efficient approach for detecting coevolving pairs, which is almost perfect in terms of precision and specificity. …”
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Granular computing-driven two-stage consensus model for large-scale group decision-making by Yanjun Wang, Xi Chen, Lidong Wang

“…Next, the fuzzy consensus measure is defined by the specificity and coverage of information granule, and a two-stage granule consensus model is proposed by integrating the maximum consensus rule and minimum consensus cost to optimize individual opinions and achieve an efficient group consensus. …”
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Routing and scheduling optimization for urban air mobility fleet management using quantum annealing by Renichiro Haba, Takuya Mano, Ryosuke Ueda, Genichiro Ebe, Kohei Takeda, Masayoshi Terabe, Masayuki Ohzeki

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Reduced-Complexity Radio Architectures for Enhanced Receive Selection Combining in Multiuser Diversity Systems by Elpiniki P. Tsakalaki, Osama N. Alrabadi, Constantinos B. Papadias, Ramjee Prasad

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Pig Detection Algorithm Based on Sliding Windows and PCA Convolution by Longqing Sun, Yan Liu, Shuaihua Chen, Bing Luo, Yiyang Li, Chunhong Liu

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Clustering Algorithm by Boundary Detection Base on Entropy of KNN by Jiaman Ding, Jinyuan Yin, Lianyin Jia, Xiaodong Fu, Hongbin Wang

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Low-dimensional multiscale fast SAR image registration method by Jiamu Li, Wenbo Yu, Zijian Wang, Jiaxin Xie, Xiaojie Zhou, Yabo Liu, Zhongjun Yu, Meng Li, Yi Wang

“…Second, circular neighbourhoods of each point are extracted in multiple scales to describe their features with the maximum index map (MIM). Note that we condense the feature information of candidate points in the whole neighbourhood in an intensity-order way, which significantly reduces the dimensionality of the descriptors. …”
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