Modular horizontal pendulum wave energy converter: Exploring feasibility to power ocean observation applications in the U.S. Pacific Northwest by Chris Dizon, Robert J. Cavagnaro, Bryson Robertson, Ted K. Brekken

“…More importantly, gaps in spatial data could be filled. This paper examines the feasibility of a modular horizontal pendulum wave energy converter to power National Data Buoy Center's Self‐Contained Ocean Observations Payload (SCOOP) off the coast of Washington State, U.S. …”
Get full text

Data augmentation for numerical data from manufacturing processes: an overview of techniques and assessment of when which techniques work by Henry Ekwaro-Osire, Sai Lalitha Ponugupati, Abdullah Al Noman, Dennis Bode, Klaus-Dieter Thoben

“…A significant challenge in ML applications is obtaining sufficient training data, which data augmentation aims to address. …”
Get full text

Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care by Bengie L Ortiz, Vibhuti Gupta, Rajnish Kumar, Aditya Jalin, Xiao Cao, Charles Ziegenbein, Ashutosh Singhal, Muneesh Tewari, Sung Won Choi

“…ObjectiveThis study aims to conduct a scoping review of preprocessing techniques used on raw wearable sensor data in cancer care, specifically focusing on methods implemented to ensure their readiness for artificial intelligence and machine learning (AI/ML) applications. …”
Get full text

Summary of the 14th IAEA Technical Meeting on Control Systems, Data Acquisition, Data Management and Remote Participation by Joshua Stillerman, Didier Mazon, Matteo Barbarino, Palak Jain, Wanderley Pires de Sa, Bingjia Xiao, Axel Winter, Fernando Santoro, Hideya Nakanishi

Get full text

How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data by Gabriele Santangelo, Giovanna Nicora, Riccardo Bellazzi, Arianna Dagliati

“…Future developments will include temporal data evaluation, further broadening its applicability.…”
Get full text

Recent progress on machine learning with limited materials data: Using tools from data science and domain knowledge by Bangtan Zong, Jinshan Li, Tinghuan Yuan, Jun Wang, Ruihao Yuan

“…We review the recent progress on the use of tools from data science and domain knowledge to mitigate the issues arising from limited materials data. …”
Get full text

Class VI Database project: Drill-stem test data from Sweetwater County, Wyoming, USAMendeley Data by Abdeldjalil Latrach, Lily J. Jackson, Christian Martinez

“…Other key information includes well API numbers, locations, tested formations, depth intervals, and detailed test results including flow and shut-in periods with corresponding time and pressure data. This dataset was primarily collected to help with the Class VI filing process for new carbon storage wells but has significant reuse potential for applications such as developing regional pressure profiles, validating reservoir simulation models, and analyzing legacy well performance. …”
Get full text

Efficient Searches for Small Signals across Two-channel Noisy Data: A Challenge in Big-data Observations by Maryam Aghaei Abchouyeh, Maurice H. P. M. van Putten, Seyong Kim

“…Here, we study this approach using a novel excess probability ratio (EPR), correlating Boolean data resulting from tails beyond a cutoff κσ . We compare and rank EPR performance against conventional direct cross correlation and the Pearson coefficient (PC), applicable to the original data with no cutoff. …”
Get full text

Telescope indexing for k-nearest neighbor search algorithms over high dimensional data & large data sets by Madhavan K R, Hasan Kurban, Oguzhan M. Kulekci, Mehmet M. Dalkilic

“…Further, we establish that the limited search space chosen by the B+ tree structure can be effectively explored by any indexing techniques applicable to the entire data. We then present our algorithm $$k$$ -NN with partitioning (ti $$k$$ -NN), including computational analysis and experiments. …”
Get full text

386 Developing an assessment tool for NIH data management and sharing plans to understand current data practices and needs by Michelle Yee, Alisa Surkis, Fred LaPolla

“…Objectives/Goals: NIH requires researchers submit Data Management and Sharing (DMS) Plans with their grant applications. …”
Get full text

Is it time to stop sweeping data cleaning under the carpet? A novel algorithm for outlier management in growth data. by Charlotte S C Woolley, Ian G Handel, B Mark Bronsvoort, Jeffrey J Schoenebeck, Dylan N Clements

“…This algorithm is broadly applicable to data cleaning anthropometric data in different mammalian species and could be adapted for use in a range of other domains.…”
Get full text

Improving Event Data in Football Matches: A Case Study Model for Synchronizing Passing Events with Positional Data by Alberto Cortez, Bruno Gonçalves, João Brito, Hugo Folgado

“…In conclusion, the model offers a more accurate method for synchronizing independent datasets for event and positional data. This is particularly beneficial for applications where precise timing and spatial location of actions are critical. …”
Get full text

Tailoring convolutional neural networks for custom botanical data by Jamie R. Sykes, Katherine J. Denby, Daniel W. Franks

Get full text

Enhancing SMOTE for imbalanced data with abnormal minority instances by Surani Matharaarachchi, Mike Domaratzki, Saman Muthukumarana

Get full text

Structural Stability of Pseudo-Parabolic Equations for Basic Data by Yanping Wang, Yuanfei Li

Get full text

Addressing sparse data challenges in recommendation systems: A systematic review of rating estimation using sparse rating data and profile enrichment techniques by Thennakoon Mudiyanselage Anupama Udayangani Gunathilaka, Prabhashrini Dhanushika Manage, Jinglan Zhang, Yuefeng Li, Wayne Kelly

Get full text

One-shot generative distribution matching for augmented RF-based UAV identification by Amir Kazemi, Salar Basiri, Volodymyr Kindratenko, Srinivasa Salapaka

“…The paper provides a theoretical guarantee for the effectiveness of one-shot generative models in augmenting limited data, setting a precedent for their application in limited RF environments. …”
Get full text

Beyond boundaries: Charting the frontier of healthcare with big data and ai advancements in pharmacovigilance by Arohi Agarwal, Gagan Singh, Samyak Jain, Piyush Mittal

“…In conclusion, review highlights the transformative impact of Big Data and AI in healthcare, emphasizing their applications in pharmacovigilance and pharmacoepidemiology. …”
Get full text

BirdRecon: A free open source tool for image based bird species recognition by Hari Kishan Kondaveeti, Nabin Kumar Upadhaya, Dheeraj Sai Tukkugudam, Rahul Panigrahi, Sirivella Madhan Chandra Mouli, Valli Kumari Vatsavayi, Nagendra Panini Challa

“…To address class imbalance problem and enhance generalization, data augmentation is applied and an early stopping optimization strategy is used to prevent overfitting during training. …”
Get full text

Application of five seismic attributes in natural fracture prediction for deep coalbed methane production along the eastern margin of the Ordos Basin by Jiangnan TONG, Feng WANG, Feng ZHANG, Wei HOU, Zhongbai LI, Liang JI, Yanan JIANG, Wei SUN

Get full text