Teaching and Learning with Situated Data: Socio-Technical Pedagogy and Reform at the Community Data Clinic and Biological Computer Lab by Anita Chan

“… This paper reviews how situated data methods were used to critically engage students in sociotechnical case studies drawn from campus history and archives in courses developed under the Community Data Clinic and the Biological Computer Lab at the University of Illinois at Urbana-Champaign. …”
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Computational Workflow for the Characterization of Size, Shape, and Composition of Particles and Their Separation Behavior During Processing by Sabrina Weber, Orkun Furat, Tom Kirstein, Thomas Leißner, Urs A. Peuker, Volker Schmidt

“…In this study, 3D image data depicting particles in feed, concentrate, and tailings is available for the computation of Tromp functions. …”
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Integration of software-based cognitive approaches and brain-like computer machinery for efficient cognitive computing by Chitrakant Banchhor, Manoj Kumar Rawat, Rahul Joshi, Dharmesh Dhabliya, Omkaresh Kulkarni, Sandeep Dwarkanath Pande, Umesh Pawar

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Research on Service-Oriented Sharing and Computing Framework of Geographic Data for Geographic Modeling and Simulation by Jin Wang, Lingkai Shi, Xuan Zhang, Kai Xu, Zaiyang Ma, Yongning Wen, Min Chen

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Runtime collaborative scheduling of resources in computing power network oriented to the wide-area distributed intelligent computing environment by SONG Yao, SONG Ping, GAO Wei, LIU Shu, HUO Zhisheng

“…The key task selection and backfilling, network traffic scheduling of core flow, and adaptive data placement strategies are designed. The usage of computing, network, and storage resources in the computing power network are comprehensively analyzed, and the strategies are collaboratively implemented to optimized the global utilization of resources. …”
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Editorial: Representing the Ancient World through Data by Andrea Farina, Paola Marongiu, Mar A. Rodda

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The changing socioeconomic composition of the Finnish prison population by Mikko Aaltonen, Joonas Pitkänen, Sasu Tyni, Pekka Martikainen

“…METHODS: Using total population register data, we examine annual changes across different groups in the measures of employment, receipt of social assistance, income, and education. …”
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Research and Application of Testing Technology of Cloud Computing Database by Hongfei Qiu, Xianxu Li, Chunguang Huang

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Some Granular Computing Based Machine Learning Algorithms by Vijay R. Tiwari

“…<p>Granular computing has emerged as a new computational method that is beneficial when dealing with large amounts of data. …”
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A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data by Ovais A Jaffery, Lea Melki, Gregory Slabaugh, Wilson W Good, Caroline H Roney

“…This paper is aimed at reporting techniques on the personalisation of cardiac computational models, with a focus on calibrating cardiac tissue conductivity based on electroanatomical mapping data.…”
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Comparison between a Computational Seated Human Model and Experimental Verification Data by Christian G. Olesen, Mark de Zee, John Rasmussen

“…This study focuses on comparing results from a model developed in the AnyBody Modeling System, with data collected from an experimental setup. A chair with force-measuring equipment was developed, an experiment was conducted with three subjects, and the experimental results were compared with the predictions of the computational model. …”
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Reproduction of experimental data for stacked caffeine dimers using various computational methods by Maria Patricia Sanchez Gutierrez, Eduardo Gonzalez Jimenez, Alexandra Deriabina, Juan Carlos Sanchez Perez, Valeri Poltev

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HR Management Big Data Mining Based on Computational Intelligence and Deep Learning by Genliang Zhao, Zhe Xue

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Computational Methods Applied to Data Analysis for Modeling Complex Real Estate Systems by Marco Locurcio, Francesco Tajani, Pierluigi Morano

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Computational modeling of visual salience alteration and its application to eye-movement data by Yoshihisa Fujita, Toshiya Murai, Jun Miyata, Jun Miyata

“…Computational saliency map models have facilitated quantitative investigations into how bottom-up visual salience influences attention. …”
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A Survey of Computational Tools to Analyze and Interpret Whole Exome Sequencing Data by Jennifer D. Hintzsche, William A. Robinson, Aik Choon Tan

“…WES technologies have shifted the bottleneck in experimental data production to computationally intensive informatics-based data analysis. …”
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Leveraging real-world data for continuous evaluation of computational clinical practice guidelines by Ignace H J T de Hingh, Cornelis D de Kroon, Olga L van der Hel, Thijs van Vegchel, Jurrian van der Werf, Kees C W J Ebben, Channa E Schmeink, Michèle Thissen

“…Recent advances in computable care guidelines allow automated evaluation using real-world registry data. …”
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HyPyRameter: A Python Toolbox to Calculate Spectral Parameters from Hyperspectral Reflectance Data by Michael S. Phillips, Christian Tai Udovicic, Jeffrey E. Moersch, Udit Basu, Christopher W. Hamilton

“…Spectral parameters can be combined thematically into red, green, and blue (RGB) images, called browse products , to visualize compositional variation across a surface. Here, we present the Hyperspectral Parameter (HyPyRameter) toolbox: an open-source library, written in Python, to calculate spectral parameters for hyperspectral reflectance data. …”
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Using Approximate Bayesian Computation to infer sex ratios from acoustic data. by Lisa Lehnen, Wigbert Schorcht, Inken Karst, Martin Biedermann, Gerald Kerth, Sebastien J Puechmaille

“…A method allowing the inference of sex ratios despite such an overlap will therefore greatly increase the information extractable from acoustic data. To meet this demand, we developed a novel approach using Approximate Bayesian Computation (ABC) to infer the sex ratio of populations from acoustic data. …”
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Application of Soft Computing Techniques in the Analysis of Educational Data Using Fuzzy Logic by Marija Mojsilović, Selver Pepić, Gabrijela Popović, Muzafer Saračević, Darjan Karabašević

“…The application of soft computing techniques, with a special emphasis on fuzzy logic, represents a modern approach to analyzing complex educational data. …”
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