Sparse long short-term memory for information fusion in wireless sensor networks by Yangfan Zhou, Mingchuan Zhang, Ping Xie, Junlong Zhu, Ruijuan Zheng, Qingtao Wu

“…Wireless sensor networks are designed to perceive, gather, and process external environmental information and send it to the observer. …”
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Internet intelligent routing architecture and algorithm by Fei GUI, Yang CHENG, Dan LI, Sihong HONG

“…On the other hand, the proposed algorithm enjoys the ultralow processing latency benefited from the fast inference of ML, thus speeding up the reaction to traffic bursts. …”
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Between the particular and the universal: the teaching of Brazilian Philosophy by halwaro Freire, Camila Rodrigues

“…The research environment was specifically my experience as a teacher in the Telecommunications, Computer Science and Chemistry courses at IFCE, in Fortaleza. …”
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Program semantic analysis model for code reuse detection by GUO Xi, WANG Pan

“…Program similarity analysis had a wide range of applications in areas such as code plagiarism and property protection, but it generally suffered from problems such as excessive computational overhead, a code similarity analysis method based on fuzzy matching and statistical inference was proposed. …”
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A Non-Anthropocentric Approach to The Digital Writing : Some Remarks on The Agency of Digital Writing by Sung do Kim

“…I have argued, following some key notions of cybersemiosis, intermediation, architext, ANT that conceptions of material agency find in computational writing machines, a more productive explanative model. …”
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Artistic Thinking in Scientific Research by Magda Stanová

“…I also briefly introduce the problem of verbal overshadowing and the effects it may have on the creative process in art. …”
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Scientific mapping of artificial intelligence (AI) assisted applications in historical building conservation by İzzettin Kutlu

“…The application of developing computer technologies such as artificial intelligence (AI), deep learning (DL), and machine learning (ML) on digital image data can help in monitoring, controlling, and preserving cultural heritage buildings. …”
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Zastosowanie Nieliniowej Teorii Sprężystości do Obliczania Pewnych Typów Łączników Gumowych by S. Zahorski

“…This is a continuation of the author's papers [1] and [2] devoted to the application of the methods of (geometrically and physically) non-linear theory of elasticity to the computation of rubber connecting pieces. The problem under consideration in the present paper is that of circularly symmetric shearing of cylindrical connecting pieces in which a cylindrical rubber part has been pressed between two metal tubes and the problem of axial torsion of cylindrical connecting pieces in which the cylindrical rubber part has been joined to the metal tubes during the vulcanization process. …”
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Depth-based human activity recognition via multi-level fused features and fast broad learning system by Huang Yao, Mengting Yang, Tiantian Chen, Yantao Wei, Yu Zhang

“…First, the surface normals are computed from original depth maps; the histogram of the surface normal orientations is obtained as a low-level feature by accumulating the contributions from normals, then a high-level feature is acquired by sparse coding and pooling on the aggregation of polynormals. …”
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Detailed Study of Stars and Gas in a z = 8.3 Massive Merger with Extreme Dust Conditions by Anishya Harshan, Roberta Tripodi, Nicholas S. Martis, Gregor Rihtaršič, Maruša Bradač, Yoshihisa Asada, Gabe Brammer, Guillaume Desprez, Vince Estrada-Carpenter, Jasleen Matharu, Vladan Markov, Adam Muzzin, Lamiya Mowla, Gaël Noirot, Ghassan T. E. Sarrouh, Marcin Sawicki, Victoria Strait, Chris Willott

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Phasing millions of samples achieves near perfect accuracy, enabling parent-of-origin analyses by Cole M. Williams, Jared O’Connell, Ethan Jewett, William A. Freyman, Christopher R. Gignoux, Sohini Ramachandran, Amy L. Williams

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A weakly-supervised follicle segmentation method in ultrasound images by Guanyu Liu, Weihong Huang, Yanping Li, Qiong Zhang, Jing Fu, Hongying Tang, Jia Huang, Zhongteng Zhang, Lei Zhang, Yu Wang, Jianzhong Hu

“…By leveraging Multiple Instance Learning (MIL), we formulated the learning process in a weakly supervised manner and developed an end-to-end trainable model that efficiently addresses the issue of annotation scarcity. …”
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GastroEndoNet: Comprehensive endoscopy image dataset for GERD and polyp detectionMendeley Data by Abu Kowshir Bitto, Md. Hasan Imam Bijoy, Kamrul Hassan Shakil, Aka Das, Khalid Been Badruzzaman Biplob, Imran Mahmud, Syed Md. Minhaz Hossain

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A method for intelligent information extraction of coal fractures based on µCT and deep learning by Zhazha HU, Xun ZHANG, Yi JIN, Linxian GONG, Wenhui HUANG, Jianji REN, Norbert Klitzsch

“…This study provides a novel philosophy for image processing in the field of CBM exploration and production.…”
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Design Guidelines for Combining Digital Human Modeling and Virtual Reality to Foresee Workplaces Ergonomics Issues During Product Development by Adailton G. Silva, Rafael Vieira Miguez, Lucas G. G. de Almeida, Márcio F. Catapan, Carina S. Silveira, Marcelo da S. Hounsell, Marcus V. M. Gomes, Ingrid Winkler

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Fast 3D localization of nano-objects in wide-field interferometric scattering microscopy via vectorial diffraction model-derived analytical fitting by Liaoliao Wei, Caroline Livan Anyi, Huakun Li, Haitao Nie, Bihan Wen, Tong Ling

“…However, this approach can be computationally intensive and hinders the processing of nano-object movements on a large scale. …”
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Experimental Study of a Transmission System Based on FBMC/OQAM by R. R. Abenov, E. V. Rogozhnikov, Ya. V. Kryukov, D. A. Pokamestov, P. A. Abenova

“…A model of synthesis and signal processing was developed, and a frame structure was proposed. …”
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Teaching Data Analysis and Machine Learning at University: Generalization of Experience and Perspectives by Victoria Dorofeeva, Sergey Stroev, Dmitrii Dorofeev

“…The work substantiates the conclusion about the relevance of training professional personnel who can be involved in the implementation of the national project “Digital Technologies”, in particular, as specialists in the field of technologies related to data analysis, big data processing and machine learning. Obviously, it is especially important to study technologies related to data analysis, big data processing and machine learning for students of physics, mathematics and IT training. …”
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Using Deep Learning in Ensemble Streamflow Forecasting: Exploring the Predictive Value of Explicit Snowpack Information by Parthkumar Modi, Keith Jennings, Joseph Kasprzyk, Eric Small, Cameron Wobus, Ben Livneh

“…However, process‐based models require computationally intensive parameter estimation, increasing uncertainties and limiting usability. …”
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VTWSAR: A Fast Calculation Method for Visible Time Window of SAR Satellite to Regional Target by Xin Shi, Wenjie Xing, Huitao Liu, Yanxue Wang, Mengdao Xing

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