Ion suppression correction and normalization for non-targeted metabolomics by Iqbal Mahmud, Bo Wei, Lucas Veillon, Lin Tan, Sara Martinez, Bao Tran, Alexander Raskind, Felice de Jong, Yiwei Liu, Jibin Ding, Yun Xiong, Wai-kin Chan, Rehan Akbani, John N. Weinstein, Chris Beecher, Philip L. Lorenzi

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A Methodology of Real-Time Data Fusion for Localized Big Data Analytics by Sohail Jabbar, Kaleem R. Malik, Mudassar Ahmad, Omar Aldabbas, Muhammad Asif, Shehzad Khalid, Kijun Han, Syed Hassan Ahmed

“…It is highly valuable to have computational values available locally instead of through distributed resources to reduce real-time analytical challenges. …”
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On the Shoulders of Giants: Incremental Influence Maximization in Evolving Social Networks by Xiaodong Liu, Xiangke Liao, Shanshan Li, Si Zheng, Bin Lin, Jingying Zhang, Lisong Shao, Chenlin Huang, Liquan Xiao

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Classification of Error-Diffused Halftone Images Based on Spectral Regression Kernel Discriminant Analysis by Zhigao Zeng, Zhiqiang Wen, Shengqiu Yi, Sanyou Zeng, Yanhui Zhu, Qiang Liu, Qi Tong

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Effectof Unit Hydrographs and Rainfall Hyetographs on Critical Rainfall Estimates of Flash Flood by Fanzhe Kong, Wei Huang, Zhilin Wang, Xiaomeng Song

“…The computed TR-Pa curves reveal that, for given Pa and UH, the TR corresponding to linearly increasing hyetograph is the minimum one. …”
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Accident Management in VVER-1000 by F. D'Auria, A. Suslov, N. Muellner, G. Petrangeli, M. Cherubini

“…The mentioned study involved both experimental and computational fields. The purpose of this paper is to summarize the main findings from the execution of a wide-range analysis focused on AM in VVER-1000 with main regard to the qualification of computational tools and the proposal for an optimal AM strategy for this kind of NPP.…”
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TRANSFORMATION OF MARKETING TECHNOLOGIES IN MACHINE INTELLIGENCE ERA by V. Starostin

“…First of all, this is the result of popularity of digital devices and rapid growth of computational power of computers. It allows to digitalize consumers’ofline behavior and to analyze data using machine learning methods in order to enhance the relevance of particular marketing programs for each individual customer segment. …”
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A Concept for Striking Range Improvement of the GROM/PIORUN Man-Portable Air-Defence System by Krzysztof MOTYL, Mirosław MAKOWSKI, Bogdan ZYGMUNT, Zbigniew PUZEWICZ, Janusz NOGA

“…A mathematical and physical model of the GROM rocket missile was designed and its enhanced propulsion system was simulated in a computer environment. The computer simulation results were displayed on plot charts.…”
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Indistinguishability in controlled query evaluation over prioritized description logic ontologies by Gianluca Cima, Domenico Lembo, Lorenzo Marconi, Riccardo Rosati, Domenico Fabio Savo

“…We investigate both semantic and computational properties of CQE in the context of OWL ontologies, and specifically in the description logic DL-LiteR, which underpins the OWL 2 QL profile. …”
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Model-Based Variation-Aware Optimization for Offset Calibration and Pre-Sensing in DRAM Sense Amplifiers by Dongyeong Kim, Geon Kim, Suyeon Kim, Jewon Park, Sinwook Kim, Hyeona Seo, Chaehyuk Lim, Sowon Kim, Juwon Lee, Jeonghyeon Yun, Hyerin Lee, Jinseok Park, Yongbok Lee, Seungchan Lee, Myoungjin Lee

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Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach by Adrian Carballal, Carlos Fernandez-Lozano, Nereida Rodriguez-Fernandez, Luz Castro, Antonino Santos

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An Active Learning Approach with Uncertainty, Representativeness, and Diversity by Tianxu He, Shukui Zhang, Jie Xin, Pengpeng Zhao, Jian Wu, Xuefeng Xian, Chunhua Li, Zhiming Cui

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Predictive modeling of ALS progression: an XGBoost approach using clinical features by Richa Gupta, Mansi Bhandari, Anhad Grover, Taher Al-shehari, Mohammed Kadrie, Taha Alfakih, Hussain Alsalman

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Research on the photoelectrical properties of TiO2-doped V2O5/FTO nanocomposite thin films under thermal and electrical excitation by Xue Chang, Li Yi, Zhang Haoting, He Weiye, Peng Weiye, Dai Wenyan, Yuan Zhen, Lin Ke, Wang Wei, Shi Zhangqing, Liu Hongwei

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A New Quantitative Definition of the Complexity of Organized Matters by Tatsuaki Okamoto

“…The major issue of these definitions is that they captured only a single feature among the three key features of complexity, descriptive, computational, and distributional features, for example, the effective complexity captured only the descriptive feature, the logical depth captured only the computational, and the statistical complexity captured only the distributional. …”
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The Experience of Target Training for the Defense Industry by A. I. Serdyuk, I. D. Belonovskaya, A. B. Radygin

“…Along with traditional engineering knowledge and skills, this training should provide the development of students’ competencies in the field of computer technology for design automation, production preparation. …”
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Application of the New Mapping Method to Complex Three Coupled Maccari’s System Possessing M-Fractional Derivative by Jan Martinovic, Aziz Ur Rehman, Muhammad Bilal Riaz

“…Our study establishes a connection between computer science and soliton physics, emphasizing the pivotal role of soliton phenomena in advancing simulations and computational modeling. …”
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Kecemasan mahasiswa teknik komputer dan jaringan dalam menghadapi ujian praktik kejuruan by Lisa Putriani, Tyesa Sri Handayuni, Yola Eka Putri, Ifdil Ifdil

“…The results of the study reveal that the first, the level of anxiety of students majoring in Computer and Network Engineering in facing vocational practice exams is generally in the low category. …”
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Convolutional neural network model over encrypted data based on functional encryption by Chen WANG, Jiarun LI, Jian XU

“…Currently, homomorphic encryption, secure multi-party computation, and other encryption schemes are used to protect the privacy of sensitive data in outsourced convolutional neural network (CNN) models.However, the computational and communication overhead caused by the above schemes would reduce system efficiency.Based on the low cost of functional encryption, a new convolutional neural network model over encrypted data was constructed using functional encryption.Firstly, two algorithms based on functional encryption were designed, including inner product functional encryption and basic operation functional encryption algorithms to implement basic operations such as inner product, multiplication, and subtraction over encrypted data, reducing computational and communication costs.Secondly, a secure convolutional computation protocol and a secure loss optimization protocol were designed for each of these basic operations, which achieved ciphertext forward propagation in the convolutional layer and ciphertext backward propagation in the output layer.Finally, a secure training and classification method for the model was provided by the above secure protocols in a module-composable way, which could simultaneously protect the confidentiality of user data as well as data labels.Theoretical analysis and experimental results indicate that the proposed model can achieve CNN training and classification over encrypted data while ensuring accuracy and security.…”
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Sound-Induced Round Window Vibration—Experiment and Numerical Simulations of Energy Transfer Through the Cochlea of the Human Ear by Robert Zablotni, Sylwester Tudruj, Jaroslaw Latalski, Marcin Szymanski, Andrzej Kucharski, Grzegorz Zając, Rafał Rusinek

“…The numerical computations of acoustic signal amplification showed good agreement with the experimental data, particularly at the frequencies of 1 and 2 kHz. …”
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