Asymmetric multi-component trifunctionalization reactions with α-Halo Rh-carbenes by Xiaoyan Yang, Xiaoyu Zhou, Wenhao Hu, Yu Qian

“…Abstract Multi-component multi-functionalization reactions involving active intermediates are powerful tools for rapidly generating a wide array of compounds. …”
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Multi-direction health monitoring with carbon nanotube film strain sensor by Tao Xu, Qingdong Qiu, Shaowei Lu, Keming Ma, Xiaoqiang Wang

“…Yet, the performance for multi-direction strain monitoring of the carbon nanotube film sensor has not been concerned. …”
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High accuracy channel estimation algorithms for multi-cell joint detection by SONG Xiao-qin1, HU Ai-qun1, LI Ke2, XUE Qiang2

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Multi-feature fusion classification method for communication specific emitter identification by Zunwen HE, Shuai HOU, Wancheng ZHANG, Yan ZHANG

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Indoor BLE and MEMS based multi-floor fusion positioning algorithm by Mu ZHOU, Bin WANG, Zeng-shan TIAN, Qian-kun ZHANG

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Multi-objective cloud workflow scheduling algorithm based on grid variance by Xiaoan BAO, Yundi CAO, Na ZHANG, Junyan QIAN, Jianwen CAO

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Modal-Guided Multi-Domain Inconsistency Learning for Face Forgery Detection by Zishuo Guo, Baopeng Zhang, Jack Fan, Zhu Teng, Jianping Fan

Subjects: “…multi-modal deepfake detection…”
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AFault Tolerant Multi-Controller Framework for SDN DDoS Attacks Detection by Parisa Valizadeh, Ahmad Taghinezhad-Niar

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Operando phase mapping in multi-material laser powder bed fusion by Shieren Sumarli, Florencia Malamud, Steven Van Petegem, Steve Gaudez, Antonios Baganis, Matteo Busi, Efthymios Polatidis, Christian Leinenbach, Roland E. Logé, Markus Strobl

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Pseudo Inefficiency in Multi-Period Systems: A DEA-based Approach by Mahsa Torkavannezhad, Ghasem Tohidi, Behrouz Daneshian, Mahnaz Maghbouli, Farzin Moddarres Khiyabani

Subjects: “…multi-period system…”
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Application oriented cross-layer multi-channel MAC protocol for VANET by Cai-xia SONG, Guo-zhen TAN, Nan DING, Jun-ling BU, Fu-xin ZHANG, Ming-jian LIU

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Multi-controller balancing deployment strategy based on reliability evaluation in SDN by Tao HU, Jian-hui ZHANG, Teng MA, Wei ZHAO

“…The control plane has low reliability and controller loads were unbalanced in distributed software defined networks,and a multi-controller balancing deployment strategy based on reliability evaluation was proposed.Firstly,node reliability was evaluated by weighting node efficiency and path quality,optimizing the controller location with balancing factor.Then based on improved k-center clustering,the redundant functions was introduced and the switch allocation was completed according to node attractiveness degree and controller load balancing rate,achieving a reasonable SDN sub-domain planning.The simulations show that compared with the existing strategy the number of required controllers is reduced by an average of 22.1%.The control plane elasticity is enhanced,and the controller load balancing performance has been improved significantly.…”
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Effectiveness of Clinical Diagnosis in Lesions by HPV in Mouth. Useful Clinical Criteria by Josué Roberto Bermeo Escalona, Blanca Silvia González López, Eva Ramón Gallegos, Hugo Mendieta Zerón

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The Investigation of Stefan Luchian Heritage Paintings—A Multi-Analytical Approach by Andrei Victor Oancea, Bogdana Simionescu, Laura Elena Ursu, Mioara Murariu, Marius Dobromir, Maria Geba, Lacramioara Stratulat, Mihaela Olaru

“…Based on a multi-analytical approach involving mobile techniques and lab-based devices (XPS, portable and micro-Raman spectroscopies, and ATR-FTIR spectroscopy, combined with SEM/EDS and optical microscopy), this study presents the first in-depth investigation of two cultural heritage artworks painted by the famous Romanian artist Ștefan Luchian. …”
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Recent Web Platforms for Multi-Omics Integration Unlocking Biological Complexity by Eugenia Papadaki, Ioannis Kakkos, Panagiotis Vlamos, Ourania Petropoulou, Stavros T. Miloulis, Stergios Palamas, Aristidis G. Vrahatis

Subjects: “…multi-omics data integration…”
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Design of multi-bandgap metamaterial plate based on composite cylindrical resonators by Zhi Miao, Jianfei Yin, Yu Yang, Yibo Ke, Zhoufu Zheng, Xiaoming Geng, Qian Wang

“…This paper introduces a composite locally resonant metamaterial plate (CLRMP) designed for broadband, low-frequency vibration suppression through multi-resonance and gradient configurations. Theoretical models employing the plane wave expansion method are developed to compute the band structures of the CLRMP. …”
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Analysis of Coupling Characteristic of the Planetary Multi-stage Gear Transmission System by Wang Xin, Li Yousheng

Subjects: “…Multi-stage gear transmission…”
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Design and Simulation of an Automatic Alignment System for Ship Multi-Support Shafting by Jun Zhang, Yibin Deng, Guozhang Gao, Hanhua Zhu

Subjects: “…multi-support shafting…”
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Adaptive bandwidth allocation algorithm based on the multi-threshold reservation mechanism by Geng CHEN, Wei-wei XIA, Lian-feng SHEN

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Deep learning-based prediction of multi-level just noticeable distortion by Haifeng XU, Hongkui WANG, Haibing YIN, Chuqiao CHEN

“…Visual just noticeable distortion (JND) directly reflects the sensitivity of the human visual system to visual signal noise, and is widely used in image and video processing.Aiming at the multilevel prediction problem of video JND threshold, it was transformed into the prediction problem of satisfied user ratio (SUR) curve, and a feature fusion-based SUR curve prediction model was proposed.The model was mainly divided into key frame extraction module, feature extraction and fusion module, and SUR score regression module.In the key frame extraction module, according to the visual perception mechanism, the spatial-temporal domain perception complexity was proposed and used as the video key frame judgment index.In the feature extraction and fusion module, a multi-scale dense residual network was proposed based on dense residual block (RDB) to realize image feature extraction and multi-scale fusion.The experimental results show that the proposed SUR curve prediction model is overall better than the existing models in terms of JND prediction accuracy and reduces the time cost by 8.1% on average in terms of operational efficiency.Meanwhile, the model can also be used to predict other layers of JND thresholds, which can be directly applied to video multilevel perceptual coding optimization.…”
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