Dynamics and Control on a Discrete Multi-Inventory System by Yuzhen Wang, Li Xu

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Multi-layered based network security defense system

Subjects: “…multi-intrusion detection…”
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Multi-model based behaviour analysis for inclusive mobility by Vanderhaegen Frédéric, Richard Philippe

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Multi-objective Optimization Design of Wet Friction Clutches by Jiang Kai, Li Hua, Chen Si, Li Shilei, Ren Rongzhi

“…Taking a fracturing truck gearbox clutch as an example, the multi-objective optimization design is carried out. …”
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EXPERIMENTAL STUDY ON THE PRETENSION FORCE OF MULTI-BOLTED STRUCTURE by GUO LiLun, CHEN ZhongFu, LUO JingRun

“…The pre-tension force of a multi-bolted structure under pure tightening torque is studied by experimental methods. …”
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MULTI-COMPONENT COMPLEX ORE: LEGAL PROBLEMS OF TAXATION by VERSHILO Nikolay Dmitrievich, VERSHILO Tatyana Alexandrovna

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Introduction to deep learning methods for multi‐species predictions by Yuqing Hu, Sara Si‐Moussi, Wilfried Thuiller

“…Popular species distribution models use statistical and machine learning methods but face limitations with multi‐species predictions at the community level, hindered by scalability and data imbalance sensitivity. …”
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An improved sparrow search algorithm with multi-strategy integration by Zongyao Wang, Qiyang Peng, Wei Rao, Dan Li

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Personalized recommendation model with multi-level latent features by Qing SHEN, Wenbin GUO, Jungang LOU, Qiangguo YU

“…Personalized recommendation has become one of the most effective means to solve information overload, and it is also a hot technology in the research field of massive data mining.However, traditional recommendation algorithms often only use the user’s rating information on the item, and lack a comprehensive consideration of the potential characteristics of the user and the item.The factorization machine, wide neural network, crossover network and deep neural network were combined to extract the shallow latent features, low-order nonlinear latent features, linear cross latent features, and high-order nonlinear latent features of users and items.Thus, a new deep learning personalized recommendation model with multilevel latent features was established.The experimental results on four commonly used data sets show that considering the multi-level potential features of users and items can effectively improve the prediction accuracy of personalized recommendations.Finally, the influence of factors such as the dimensions of the embedding layer and the number of neurons on the prediction performance of the new model was studied.…”
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Multi-level convergence challenges of regional economic development by V. V. Stroev

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Blind reception for multi-antenna ultra-wideband transmissions by CHENG Xian-tao, ZHU Wei-le

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Research on multi-granularity password analysis based on LLM by Meng HONG, Weidong QIU, Yangde WANG

“…Password-based authentication has been widely used as the primary authentication mechanism.However, occasional large-scale password leaks have highlighted the vulnerability of passwords to risks such as guessing or theft.In recent years, research on password analysis using natural language processing techniques has progressed, treating passwords as a special form of natural language.Nevertheless, limited studies have investigated the impact of password text segmentation granularity on the effectiveness of password analysis with large language models.A multi-granularity password-analyzing framework was proposed based on a large language model, which follows the pre-training paradigm and autonomously learns prior knowledge of password distribution from large unlabelled datasets.The framework comprised three modules: the synchronization network, backbone network, and tail network.The synchronization network module implemented char-level, template-level, and chunk-level password segmentation, extracting knowledge on character distribution, structure, word chunk composition, and other password features.The backbone network module constructed a generic password model to learn the rules governing password composition.The tail network module generated candidate passwords for guessing and analyzing target databases.Experimental evaluations were conducted on eight password databases including Tianya and Twitter, analyzing and summarizing the effectiveness of the proposed framework under different language environments and word segmentation granularities.The results indicate that in Chinese user scenarios, the performance of the password-analyzing framework based on char-level and chunk-level segmentation is comparable, and significantly superior to the framework based on template-level segmentation.In English user scenarios, the framework based on chunk-level segmentation demonstrates the best password-analyzing performance.…”
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Multi-UAV cooperative channel model for emergency communication by Lu BAI, Mingran SUN, Ziwei HUANG, Tao FENG, Xiang CHENG

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Multi-Template Molecularly Imprinted Polymeric Electrochemical Biosensors by Meltem Agar, Maisem Laabei, Hannah S. Leese, Pedro Estrela

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Application of Interactive Multi-Biometrics Recognition on E-Commerce by Ling Tan, Lu Zhang

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Novel multi-rate multicast congestion control algorithm by ZHANG Deng-yin, WANG Qian-qian, LI Jun, WANG Ru-chuan

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BEARING WEAR ANALYSIS IN MULTI-BEARING SPINDLE SYSTEM by ZHANG Yu, FU XueYan, LI Shuang, LI SongHua

“…In order to clarify the effects of different working condition parameters and quantify their influence degree on bearing wear in the spindle system, the bearing wear in the spindle system supported by multi-bearing was carried out. Firstly, the calculation method of wear coefficient considering the lubrication state is introduced, and the wear depth model of the angular contact ball bearing is deduced. …”
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Solitary Neurofibroma of the Floor of the Mouth: A Case Report by Motoyoshi Maruyama, Hiroaki Fushiki, Yukio Watanabe

“…We present a case of a solitary neurofibroma of the floor of the mouth protruding into the submandibular region. A 51-year-old female presented with a 2-year history of swelling of the floor of the mouth. …”
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Research and implementation of unified monitoring system for multi-datacenters by Baojun JIA, Lei XU, Yuhua GUO, Wei XIONG, Sufen LI

“…A monitoring system solution of supporting multi-datacenter and multiple private cloud environments were proposed.In order to achieve load balancing and easy scale-out，the unified monitoring system adopted a distributed framework and encapsulated Zabbix API and OpenStack API.This solution was significant for the study of similar distributed cluster scheduling system.…”
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A Multi‐Purpose Heliophysics L4 Mission by A. Posner, C. N. Arge, J. Staub, O. C. StCyr, D. Folta, S. K. Solanki, R. D. T. Strauss, F. Effenberger, A. Gandorfer, B. Heber, C. J. Henney, J. Hirzberger, S. I. Jones, P. Kühl, O. Malandraki, V. J. Sterken

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