Crack Detection in Civil Infrastructure: A Method-Scenario Review by Chang Haochen, Gu Weifan, Guo Baohua, Bassir David

“…By comparing conventional image processing approaches with modern deep learning models and multi-modal fusion techniques, we highlight the strengths and limitations of each method in various real-world scenarios. …”
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Hidden charm-bottom structures bcb‾c‾: Axial-vector case by S.S. Agaev, K. Azizi, H. Sundu

“…It is treated as a diquark-antidiquark state built of scalar diquark and axial-vector antidiquark components. The mass of T is computed using the two-point sum rule method. The width of this particle is evaluated by considering eight decay modes: The decays to ηbJ/ψ, ηcϒ(1S), Bc−Bc⁎+, and Bc+Bc⁎− are dissociation processes, in which all initial quarks are distributed between the final-state particles. …”
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Visualisation de données issues des réseaux sociaux : une plateforme de type Business Intelligence by Maxime Masson, Christian Sallaberry, Marie-Noëlle Bessagnet, Annig Le Parc Lacayrelle, Philippe Roose, Rodrigo Agerri

“…Offering multiple visualization modes, this tool fits into a broader framework aimed at guiding various stages of social network data processing. Although feature-rich, it is designed to be intuitive, even for non-computer literate users. …”
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Evaluation of transition rates from nonequilibrium instantons by Eric R. Heller, David T. Limmer

“…However, they are inapplicable to a range of irreversible processes in systems driven far from thermodynamic equilibrium like active and biological matter. …”
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A brief discussion on the treatment of spatial correlation in multinomial discrete models by Francisco Bahamonde-Birke

“…Spatial dependence plays a key role in all phenomena involving the geographic space, such as the social processes associated with transport and land use. Nevertheless, spatial dependence in multinomial discrete models has not received the same level of attention as have the other kinds of correlations in the discrete modeling literature, mainly due to the complexity of its treatment. …”
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NULL Convention Floating Point Multiplier by Anitha Juliette Albert, Seshasayanan Ramachandran

“…Floating point multiplication is a critical part in high dynamic range and computational intensive digital signal processing applications which require high precision and low power. …”
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Privacy preserving in the age of big data by Xianjin FANG, Yafei XIAO, Gaoming YANG

“…One of biggest concerns of big data is privacy,especially,in the processing of big data publishing or data mining.However,the study on big data privacy is still at a very early stage.The preliminary knowledge about the definition of roles and operations of privacy system were introduced.The mathematical description and measurement metrics of privacy study was given.The models of privacy preserving were analyzed,including k-anonymity and differential privacy.The current situation of privacy preserving in big data age was reviewed,especially,the privacy preserving based location-based services and its applications were summarized.The challenges and opportunities in the age of big data were summarized.The directions to improve the existing privacy protection methods satisfying the unprecedented computational requirements of big data were pointed out.…”
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Tooth Contact Analysis of Profile-Shifted Face Gear with Double-Crowned Pinion by Li Wei, Wang Dan, Fu Xuezhong

“…The coordinate systems for the processing and driving of the profile-shifted spur pinion with double-crowned and the profile-shifted face gear are established,the tooth surface equations of the profile-shifted pinion and the profile-shifted face gear are deduced,while the tooth surface is simulated for visualization.The modified tooth surface is precisely represented by a sum of two vector functions that determine the theoretical tooth surface and deviation surface.The tooth contact analysis is conducted for the alignment errors of the driving system,and the tooth contact path and the transmission error are computed.The results show that it enables the transmission error to form second order parabolic function with opening down through this method,the sensitivity of contact patch for the alignment errors is reduced,and the meshing performance of profile-shifted face gear drive is improved.…”
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Quantum approximated cloning-assisted density matrix exponentiation by Pablo Rodriguez-Grasa, Ruben Ibarrondo, Javier Gonzalez-Conde, Yue Ban, Patrick Rebentrost, Mikel Sanz

“…Classical information loading is an essential task for many processing quantum algorithms, constituting a cornerstone in the field of quantum machine learning. …”
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Feasibility and reliability of sequential logic with gene regulatory networks. by Morgan Madec, Elise Rosati, Christophe Lallement

“…However, achieving more sophisticated functions, such as control or computation, usually requires sequential circuits or so-called state machines. …”
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汽车机械式变速器同步器性能测试系统的研究 by 田韶鹏, 陈诚

“…According to the demand of manufacturer for synchronizer performance testing of mechanical transmission,based on the visual instrument development platform LabVIEW,with industrial control computer as the core,a testing System for the performance of mechanical transmission synchronizer which of data acquisition,data processing,waveform displaying,motion control as a whole is developed.The PID control technology is adopted to ensure motor speed stability during synchronizing,making the test system as far as possible to simulate the actual shift working condition.At last,a mechanical transmission standard sample provided with locking ring type inertial synchronizer is tested.The test results are in manufacturers require precision range.The results showed that this testing system can complete the test task better,and operate stably and reliably.…”
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Paranoid Schizophrenia Diagnosis via Complex Network Analysis on EEG Data by Miguel Angel Vargas Cruz

“…The findings demonstrate the potential of integrating advanced signal processing techniques with machine learning algorithms to advance psychiatric diagnostics.…”
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Research of the Order Analysis Method for Vibration Signal of Automotive Rear Axle Main Reducer by Wang Jianbao, Yang Ping, Guan Lichao, Zheng Xin

“…As the core component of automotive rear axle,the automotive main reducer undertake the function of slowdown and increase driving moment,its quality directly affects the safety and comfort of automotive.Taking the order analysis method as the core,the vibration signal analysis method of the automotive rear axle main reducer is designed based on the virtual instrument technology,the signal is collected by the data acquisition card and transmitted to the computer through the USB bus.The time point of vibration signal resampling is obtained through the processing of rotational speed signal,the order spectrum of the vibration signal is obtained by the frequency spectrum analysis of the vibration signal resampling,and the order spectrum is compared with the original vibration signal frequency spectrum,the clear frequency component is obtained,the problem of frequency alias produced by the speed fluctuation is solved.…”
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Human Target Proteins for Benzo(a)pyrene and Acetaminophen (And Its Metabolites): Insights from Inverse Molecular Docking and Molecular Dynamics Simulations by Yina Montero-Pérez, Nerlis Pájaro-Castro, Nadia Coronado-Posada, Maicol Ahumedo-Monterrosa, Jesus Olivero-Verbel

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Low-Complexity Receiver Using Undersampling for Guard-Band SSB-DDO-OFDM by Ming Chen, Qinghui Chen, Hui Zhou, Zhiwei Zheng, Jing He, Lin Chen

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24 Hours Ahead Forecasting of the Power Consumption in an Industrial Pig Farm Using Deep Learning by Boris Evstatiev, Nikolay Valov, Katerina Gabrovska-Evstatieva, Irena Valova, Tsvetelina Kaneva, Nicolay Mihailov

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Exploring the Latent Information in Spatial Transcriptomics Data via Multi‐View Graph Convolutional Network Based on Implicit Contrastive Learning by Sheng Ren, Xingyu Liao, Farong Liu, Jie Li, Xin Gao, Bin Yu

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Crystallized Pickering Emulsions from Plant Oil as a Local Alternative to Palm Oil by Cyrill Husmann, Tamara Schmid, Chiara Waser, Ivo Kaelin, Lukas Hollenstein, Nadina Müller

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Devanagari Character Recognition: A Comprehensive Literature Review by Sandhya Arora, Latesh Malik, Sonakshi Goyal, Debotosh Bhattacharjee, Mita Nasipuri, Ondrej Krejcar

“…These insights aim to advance HDCR, contributing to more accurate and efficient recognition systems and enhancing digital text processing for linguistic, educational, and archival purposes.…”
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Multipath Suppression and High-precision Angle Measurement Method Based on Feature Game Preprocessing by Houhong XIANG, Yongliang WANG, Yuxi LI, Yufeng CHEN, Fengyu WANG, Xiaolu ZENG

“…The refined signal is then processed using advanced super-resolution algorithms to estimate the Direction of Arrival (DoA). …”
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