Methodological Aspects of Learning of Work with a Multi-user Database by V. Oskerko, Z. Punchik

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Faster-than-Nyquist transmission based on multi-layer superposition by Shuang-yang LI, Lei PING, Bao-ming BAI, Xiao MA

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Multi-path backup optimized power algorithm for wideband networks by XU Yu-bin, TAN Wei

“…A multi-path backup optimized power algorithm was presented for wideband network, which exerted multi-path backup routing and reduced the total transmission power. …”
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The geometry of autonomous metrical multi-time Lagrange space of electrodynamics by Mircea Neagu

“…The geometrical construction is realized on the 1-jet fibre bundle J1(T,M) and is produced by a given quadratic multi-time Lagrangian function L. The Riemann-Lagrange geometry of the space EDMLpn=(J1(T,M),L), in the sense of d-connections, torsion and curvature d-tensors, allows the construction of a natural generalized multi-time field theory on EDMLPn, in the sense of generalized Maxwell and Einstein equations.…”
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Multi-stage hashing network storage structure for intelligent routing by Feng ZHU, Qun HUANG

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Multi-Objective Optimization of Ship Design for the Effect of Wind Propulsion by Timoleon Plessas, Apostolos Papanikolaou

“…Additionally, the obtained optimized designs exhibit notable differences in the main design characteristics and hull form compared to conventional designs, highlighting the importance of multi-objective optimization in the early design stage to tap the potential of WAPS technologies and wind propulsion.…”
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Multi-user collaborative access control scheme in cloud storage by li SHIJiao, he HUANGChuan, Jing WANG, yu QINKuang, Kai HE

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Alert processing based on attack graph and multi-source analyzing by Wei-xin LIU, Kang-feng ZHENG, Bin WU, Yi-xian YANG

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Multi-Label Classification Algorithm for Adaptive Heterogeneous Classifier Group by Meng Han, Shurong Yang, Hongxin Wu, Jian Ding

Subjects: “…multi-label classification…”
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MORF: Multi-view oblique random forest for hepatotoxicity prediction by Binsheng Sui, Qingzhuo He, Bowei Yan, Kunhong Liu, Yong Xu, Song He, Xiaochen Bo

“…Based on the consideration that the hepatotoxicity data involve multiple types of features, this paper proposes a multi-view oblique random forest (MORF) for hepatotoxicity prediction by considering each type of feature as an independent view. …”
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Multi-adversarial domain adaptation method based on feature correction by Yong ZHANG, Haoshuang LIU, Qi ZHANG, Wenzhe LIU

“…Domain adaptation can transfer labeled source domain information to an unlabeled but related target domain by aligning the distribution of source domain and target domain.However, most existing methods only align the low-level feature distributions of the source and target domains, failing to capture fine-grained information within the samples.To address this limitation, a feature correction-based multi-adversarial domain adaptation method was proposed.An attention mechanism to highlight transferable regions was introduced in this method and a feature correction module was deployed to align the high-level feature distributions between the two domains, further reducing domain discrepancies.Additionally, to prevent individual classifiers from overfitting their own noisy pseudo-labels,dual classifier co-training was proposed and the feature aggregation property of graph neural networks was utilized to generate more accurate source domain labels.Extensive experiments on three benchmark datasets for transfer learning demonstrate the effectiveness of the proposed method.…”
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Asynchronous Distributed Model Predictive Control for Multi-Agent Systems by Xiaoxiao Mi, Yuanjiang Liao, Hongzheng Zeng

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Multi-Omics and Network-Based Drug Repurposing for Septic Cardiomyopathy by Pei-Pei Liu, Xin-Yue Yu, Qing-Qing Pan, Jia-Jun Ren, Yu-Xuan Han, Kai Zhang, Yan Wang, Yin Huang, Tao Ban

“…This study aimed to identify repurposable drugs for SCM by integrated multi-omics and network analyses. Methods: We generated a mouse model of SCM induced by lipopolysaccharide (LPS) and then obtained comprehensive metabolic and genetic data from SCM mouse hearts using ultra-performance liquid chromatography–tandem mass spectrometry (UPLC–MS/MS) and RNA sequencing (RNA-seq). …”
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MAGInet based on deep learning for magnetic multi-parameter inversion by Wudi Wen, Yi Li, Zhongle Liu

“…This manuscript introduces MAGInet, a novel deep learning framework designed for the magnetic multi-parameter inversion of complex structures. …”
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PREDICTION AND DAMAGE ANALYSIS OF THE POSTBUCKLING FOR MULTI-SPAR COMPOSITE BOX by YUAN Fei, CHAI YaNan, ZHANG AYing

“…as multi-spar composite box has been used for many airplanes,in order to assure structure security,it is necessary to study the mechanical properties of multi-spar composite box. …”
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ANAPUS GYVENIMO IR MIRTIES DUALIZMO: BUDISTINĖ EGZISTENCIJOS INTERPRETACIJA by Agnė Budriūnaitė

“… „Paprastas“ Vakarų visuomenės žmogus nepripažįsta savo mirties kaip neišvengiamos ateities; jis stengiasi pamiršti savo mirtį ir gyvena taip, tarsi jo egzistencija būtų gyvenimas-be-mirties. …”
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Researcb on Enbanced Multi-Hop Broadcast Algoritbm in Vebicular Communications by Haitao Zhao, Hongbo Zhu, Nanjie Liu, Gengxiong Cai

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Multi-objective task offloading algorithm for mobile cloud computing by Fuhong SONG, Huanlai XING, Wei PAN

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LTE multi-user downlink throughput performance modeling and analysis by Zhicheng WEN

Subjects: “…multi-user scheduling…”
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Multi-version consolidation method for block-level backup data by WANG Shu-peng 1, WU Guang-jun1, WU Zhi-gang3, YUN Xiao-chun1

“…Historical version backup data query efficiency was dependent on the version chain length in a multi-version backup data storage system.A novel block-level backup data multi-version consolidation method was presented for this problem.Any version of a historical full system snapshot could be generated within the incremental backup data version sequence.Theoretical analysis showed that it could increase the target snapshot version query efficiency significantly in the version chain.A variable-length block version merging algorithm was presented to decrease the computing complex-ity in the process of snapshot version merging,according to the block-level backup data distribution features.Finally,the concrete applications and performance analysis for block-level version consolidation method was also introduced.The simulated experiments results expose that the version consolidation method can eliminate redundant version of backup data with the same version chain length,and it can increase full system recovery efficiency than traditional methods sig-nificantly.…”
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