Distributed Nonparametric and Semiparametric Regression on SPARK for Big Data Forecasting by Jelena Fiosina, Maksims Fiosins

“…We used MapReduce paradigm and describe the algorithms in terms of SPARK data structures to parallelize the calculations. …”
Get full text

Business Ecosystem Profiling Visualization with Data Analytics: A Review by Minnu Helen Joseph, Timo Kärri

“…Also, this review showcases several visualization tools that can be used to view complicated ecosystem structures, which helps employers to explore, analyze, and visualize data effectively. …”
Get full text

CBID: A Scalable Method for Distributed Data Aggregation in WSNs by Aristides Mpitziopoulos, Damianos Gavalas, Charalampos Konstantopoulos, Grammati Pantziou

“…Mobile Agent (MA) technology has been recently proposed in Wireless Sensors Networks (WSNs) literature to answer the scalability problem of client/server model in data fusion applications. Herein we present CBID, a novel algorithm that calculates near-optimal routes for MAs that incrementally fuse the data as they visit the Sensor Nodes (SNs) while also enabling fast updates on the designed itineraries upon changes of network topology. …”
Get full text

Exploring the predictive value of structural covariance networks for the diagnosis of schizophrenia by Clara S. Vetter, Clara S. Vetter, Clara S. Vetter, Annika Bender, Dominic B. Dwyer, Dominic B. Dwyer, Dominic B. Dwyer, Max Montembeault, Anne Ruef, Katharine Chisholm, Lana Kambeitz-Ilankovic, Linda A. Antonucci, Stephan Ruhrmann, Joseph Kambeitz, Marlene Rosen, Theresa Lichtenstein, Anita Riecher-Rössler, Rachel Upthegrove, Raimo K. R. Salokangas, Jarmo Hietala, Christos Pantelis, Christos Pantelis, Rebekka Lencer, Rebekka Lencer, Eva Meisenzahl, Stephen J. Wood, Stephen J. Wood, Paolo Brambilla, Paolo Brambilla, Stefan Borgwardt, Peter Falkai, Peter Falkai, Alessandro Bertolino, Nikolaos Koutsouleris, Nikolaos Koutsouleris, Nikolaos Koutsouleris, PRONIA Consortium

Get full text

SQL on FHIR - Tabular views of FHIR data using FHIRPath by John Grimes, Ryan Brush, Nikolai Rhyzhikov, Piotr Szul, Joshua Mandel, Dan Gottlieb, Grahame Grieve, Bashir Sadjad, Arjun Sanyal

“…Abstract Challenges exist with the adoption of Fast Healthcare Interoperability Resources (FHIR) within analytics, including the difficulty in transforming complex data structures, and performance issues when querying large datasets in their native JSON or XML formats. …”
Get full text

Data-driven material modeling based on the Constitutive Relation Error by Pierre Ladevèze, Ludovic Chamoin

“…Here we restrict ourselves to elasto-(visco-)plastic materials under the small displacement assumption. The experimental data consists of full-field measurements from a family of tested mechanical structures. …”
Get full text

Automated identification of pathways from quantitative genetic interaction data by Alexis Battle, Martin C Jonikas, Peter Walter, Jonathan S Weissman, Daphne Koller

“…However, the analytical tools for fully exploiting such information lag behind the ability to collect these data. We present a novel Bayesian learning method that uses quantitative phenotypes of double knockout organisms to automatically reconstruct detailed pathway structures. …”
Get full text

Biomechanically influenced mobile and participatory pedestrian data for bridge monitoring by Ekin Ozer, Maria Q Feng

“…In this article, pedestrians’ smartphone data are used to conduct force estimation and modal identification for structural health monitoring purposes. …”
Get full text

3‐D Subsurface Geophysical Modeling of the Charity Shoal Structure: A Probable Late Proterozoic‐Early Paleozoic Simple Impact Structure in Eastern Lake Ontario by Mary H. Armour, Joseph I. Boyce, Phillip Suttak, Doug Hrvoic

“…Abstract The Charity Shoal structure is a circular, ∼1.2‐km‐diameter, bedrock‐rimmed shoal in eastern Lake Ontario with a ∼20‐m‐deep central basin. …”
Get full text

Compositional data analysis enables statistical rigor in comparative glycomics by Alexander R. Bennett, Jon Lundstrøm, Sayantani Chatterjee, Morten Thaysen-Andersen, Daniel Bojar

“…Applying traditional statistical analyses to these data often results in misleading conclusions, such as spurious “decreases” of glycans when other structures increase in abundance, or high false-positive rates for differential abundance. …”
Get full text

Autoencoders with shared and specific embeddings for multi-omics data integration by Chao Wang, Michael J. O’Connell

“…We compare our model with previously proposed AE structures based on simulated data and real cancer data from The Cancer Genome Atlas. …”
Get full text

Estimating Tail Risk in Ultra-High-Frequency Cryptocurrency Data by Kostas Giannopoulos, Ramzi Nekhili, Christos Christodoulou-Volos

“…Ordinary bootstrapping requires the feed innovations to be free of any dependencies. To deal with complex data structures and dependencies found in ultra-high-frequency data, this study employs block bootstrap to resample contiguous segments, thereby preserving the sequential dependencies and sectoral clustering within the market. …”
Get full text

Probability Distribution of Elastic Response Spectrum with Actual Earthquake Data by Qianqian Liang, Jie Wu, Guijuan Lu, Jun Hu

Get full text

Experts fail to reliably detect AI-generated histological data by Jan Hartung, Stefanie Reuter, Vera Anna Kulow, Michael Fähling, Cord Spreckelsen, Ralf Mrowka

“…Accordingly, these methods are expected to play an increasingly important role in the fraudulent fabrication of data. This includes images with complicated intrinsic structures such as histological tissue samples, which are harder to forge manually. …”
Get full text

Mixed effect gradient boosting for high-dimensional longitudinal data by Oyebayo Ridwan Olaniran, Saidat Fehintola Olaniran, Jeza Allohibi, Abdulmajeed Atiah Alharbi, Nada MohammedSaeed Alharbi

“…MEGB provides a unified framework for analysing repeated measures data that accommodates complex covariance structures while harnessing gradient boosting’s inherent regularisation for robust feature selection and prediction. …”
Get full text

Fitting Time Series Models to Fisheries Data to Ascertain Age by Kathleen S. Kirch, Norou Diawara, Cynthia M. Jones

“…We propose three new applications of time series models to validate the existence of the yearly sawtooth wave patterned data: autoregressive integrated moving average (ARIMA), unobserved component, and copula. …”
Get full text

Dynamic Pattern Matching on Encrypted Data With Forward and Backward Security by Xiaolu Chu, Ke Cheng, Anxiao Song, Jiaxuan Fu

“…Specifically, we design secure addition and deletion algorithms based on fragmentation data structures, which are compatible with the static pattern matching scheme. …”
Get full text

Cardiac disease diagnosis based on GAN in case of missing data. by Xing Chen, Na Zhang, Xiaohui Yang, Chunyan Wang, Qi Na, Tianyun Luan, Wendi Zhu, Chenjie Zhang, Chao Yang

“…Given the ambiguous meaning of filling data in other network structures, the attribute matrix is designed to directly convert it into the corresponding data type, making the actual meaning of the filling data more evident. …”
Get full text

LEMDA: A Lagrangian‐Eulerian Multiscale Data Assimilation Framework by Quanling Deng, Nan Chen, Samuel N. Stechmann, Jiuhua Hu

“…Abstract Lagrangian trajectories are widely used as observations for recovering the underlying flow field via Lagrangian data assimilation (DA). However, the strong nonlinearity in the observational process and the high dimensionality of the problems often cause challenges in applying standard Lagrangian DA. …”
Get full text

Development of a Digital Hologram Map Using Bathymetric Data by Jumamurod Farhod Ugli Aralov, Oybek Mirzaevich Narzulloev, Leehwan Hwang, Philippe Gentet, Seunghyun Lee

“…This cognitive burden can lead to misinterpretation, particularly when analyzing complex seafloor structures with subtle variations. Data from the General Bathymetric Chart of the Oceans was used to construct and enhance three-dimensional terrain models within Blender. …”
Get full text