Rough North Correction Estimation Algorithm Based on Terrain Visibility by Ondrej Nemec, Jan Pidanic, Pavel Sedivy

“…The uniqueness of the algorithm is the pure data/software nature without need for any additional north-seeking equipment. …”
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Physics-informed Neural Networks:Recent Advances and Prospects by LI Ye, CHEN Song-can

“…Physical-informed neural networks (PINN) are a class of neural networks used to solve supervised learning tasks.They not only try to follow the distribution law of the training data, but also follow the physical laws described by partial diffe-rential equations.Compared with pure data-driven neural networks, PINN imposes physical information constraints during the training process, so that more generalized models can be acquired with fewer training data.In recent years, PINN has gradually become a research hotspot in the interdisciplinary field of machine learning and computational mathematics, and has obtained relatively in-depth research in both theory and application, and has made considerable progress.However, due to the unique network structure of PINN, there are some problems such as slow training or even non-convergence and low precision in practical application.On the basis of summarizing the current research of PINN, this paper explores the network/system design and its application in many fields such as fluid mechanics, and looks forward to the further research directions.…”
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A review of blended methodologies implementation in information systems development by Nahi, Abdullah AbdulAbbas, Gulumbe, Muhammad Anas, Selamat, Nurul Syazana, Ismail, Noor Baidura, Mohamed Dahlan, Halina, Hashim, Mohammed Mahdi

“…Many information systems development methodologies began as `pure‟ data modelling or process modelling approaches. …”

Feature-Driven 3D Building Modeling using Planar Halfspaces by M. Kada, A. Wichmann

“…With the exception of pure data-driven methods, reconstruction approaches for 3D building models from aerial point clouds often incorporate some level of model information to construct regularized and well-formed roof structures. …”
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Predicting Rogue Content and Arabic Spammers on Twitter by Adel R. Alharbi, Amer Aljaedi

“…In this work, we collected a pure data set from spam accounts producing Arabic tweets. …”
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Design and Aural Analysis of Signal Processing Using Time Delay by Mauricio Perez, Regis Alves Rossi Faria, Rodolfo Coelho de Souza

“…This paper presents the design in PureData of some audio signals processes in real time like delay, echo, reverb, chorus, flanger e phaser. …”
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A vision sensing-enhanced knowledge graph inference method for a healthy operation index in higher education by Yu Nie, Xingpeng Luo, Yanghang Yu

“…The vision sensing-enhanced knowledge inference method for the HOI-HE is able to exceed the benefit of pure data-driven methods. The experimental results in some simulated scenes show that the proposed knowledge inference method can work well in the evaluation of a HOI-HE, as well as to discover some latent risk.…”
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FUZZY MAPPING IN DATA SONIFICATION SYSTEM OF WIRELESS SENSOR NETWORK by Arseny A. Markhotin, Anatoly V. Krivosheykin, Gleb G. Rogozinsky, Rory Walsh

“…Devised sonification system includes input data model and sound synthesis core. It was created in Pure Data. For fuzzy output of mapped data the Fuzzy Logic Toolboxof MATLABwas used. …”
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A Physics-Guided Neural Network for Predicting Protein–Ligand Binding Free Energy: From Host–Guest Systems to the PDBbind Database by Sahar Cain, Ali Risheh, Negin Forouzesh

“…Results demonstrate that the proposed Physics-Guided Neural Network can successfully improve the “accuracy” of the pure data-driven model. In addition, the “interpretability” and “transferability” of our model have boosted compared to the purely data-driven model. …”
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An Approach for the Relationship Analysis between Social Events and the Stock Market during the Pandemic by Ruogu Zhou, Jie Hua, Xin Chi, Xiao Ren, Shuyang Hua

“…Here, we proposed a methodology based on pure data analytics, which gathers two types of data, event and stock index in China, to explore their relationship through analysing the stock index’s shift in reacting to pertinent social events, hence revealing insights into how events affect fluctuations in stock indices. …”
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A wireless sensor-based mobile music environment complied from a graphical language by Jacobs, Robert N. (Robert Nathan)

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Indeterminacy of reverse engineering of Gene Regulatory Networks: the curse of gene elasticity. by Arun Krishnan, Alessandro Giuliani, Masaru Tomita

“…In this work, we study the effect of this particular problem on the pure, data-driven inference of gene regulatory networks.We simulated a four-gene network in order to produce "data" (protein levels) that we use in lieu of real experimental data. …”
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Machine Learning in Tropical Cyclone Forecast Modeling: A Review by Rui Chen, Weimin Zhang, Xiang Wang

“…Machine learning, as a means of artificial intelligence, has been certified by many researchers as being able to provide a new way to solve the bottlenecks of tropical cyclone forecasts, whether using a pure data-driven model or improving numerical models by incorporating machine learning. …”
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Prediction of Crop Yield by Support Vector Machine Coupled with Deep Learning Algorithm Procedures in Lower Kulfo Watershed of Ethiopia by Abebe Temesgen Ayalew, Tarun Kumar Lohani

“…The planned model is improved through conducting deep learning methods incorporated to the existing practice for different crop condition. Pure data and related evidence are attained concerning the quantities of soil constituents desired through their expenditures distinctly. …”
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Data Mining Techniques for Iraqi Biochemical Dataset Analysis by Sarah Sameer, Suhad Faisal Behadili

“…It is worth noting that the preprocessing steps take remarkable efforts to handle this type of data, since its pure data set has so many null values of a ratio 94.8%, then it becomes 0% after achieving the preprocessing steps. …”
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Phenobot - Intelligent photonics for molecular phenotyping in Precision Viticulture by Martins R.C., Cunha M., Santos F., Tosin R., Barroso T.G., Silva F., Queirós C., Pereira M.R., Moura P., Pinho T., Boaventura J., Magalhães S., Aguiar A.S., Silvestre J., Damásio M., Amador R., Barbosa C., Martins C., Araújo J., Vidal J.P., Rodrigues F., Maia M., Rodrigues V., Garcia A., Raimundo D., Trindade M., Pestana C., Maia P.

“…The Phenobot platform is comprised by an autonomous robot, instrumentation, artificial intelligence, and digital twin diagnosis at the molecular level, marking the transition from pure data-driven to knowledge-driven agriculture 4.0, towards a physiology-based approach to precision viticulture. …”
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Assessing the Impacts of Human Activities on Air Quality during the COVID-19 Pandemic through Case Analysis by Xin Chi, Jie Hua, Shuyang Hua, Xiao Ren, Shuanghe Yang

“…In order to analyse the potential relationship between pandemic-related information and air quality data from a more holistic and detailed point of view, we propose a methodology based on pure data analysis. Three types of data were collected, namely air quality index, pandemic-related events, and number of COVID cases. …”
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GNSS Data/Pilot Combining with Extended Integrations for Carrier Tracking by Daniele Borio

“…The presence of data symbols in the data channel, however, limits the integration time in the combining process. When a pure data channel is considered, the integration time can be extended using a squaring operation, which removes the data symbols without affecting phase information. …”
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A Location and Optimal Coverage Based Filtering Scheme in Wireless Sensor Networks by Zhixiong Liu, Hui Ye, Fangmin Li

“…Existing security designs mainly attach some extra fields by a group of sensing nodes after the pure data, and check the correctness of attached MACs (Message Authentication Codes) in the process of report forwarding, each of which represents the agreement of sensors on the report, thus to drop the ones which failed on MAC checking. …”
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Synergy of physics-based reasoning and machine learning in biomedical applications: towards unlimited deep learning with limited data by Valeriy Gavrishchaka, Olga Senyukova, Mark Koepke

“…Historical data incompleteness problem and curse of dimensionality diminish practical value of pure data-driven approaches, especially in biomedicine. …”
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