Manufacturing Process Optimization Using Open Data and Different Analysis Methods by Md Tahiduzzaman, Angkush Kumar Ghosh, Sharifu Ura

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Two Decades of Groundwater Variability in Peru Using Satellite Gravimetry Data by Edgard Gonzales, Victor Alvarez, Kenny Gonzales

“…We used the GRACE Data Assimilation-Data Mass Modeling (GRACE-DA-DM GLV3.0) dataset at 0.25° resolution to estimate annual GWS trends and evaluated the influence of El Niño–Southern Oscillation (ENSO) events and anthropogenic extraction, supported by in situ well data from six major aquifers. …”
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Gravity Predictions in Data-Missing Areas Using Machine Learning Methods by Yubin Liu, Yi Zhang, Qipei Pang, Sulan Liu, Shaobo Li, Xuguo Shi, Shaofeng Bian, Yunlong Wu

“…In recent years, the rapid development of artificial intelligence has opened up a new opportunity for data prediction. …”
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SCITUNA: single-cell data integration tool using network alignment by Aissa Houdjedj, Yacine Marouf, Mekan Myradov, Süleyman Onur Doğan, Burak Onur Erten, Oznur Tastan, Cesim Erten, Hilal Kazan

“…Abstract Background As single-cell genomics experiments increase in complexity and scale, the need to integrate multiple datasets has grown. Such integration enhances cellular feature identification by leveraging larger data volumes. …”
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Using metabolic data to investigate the role of brood size in the development of endothermy by Elana Rae Engert, Fredrik Andreasson, Andreas Nord, Jan‐Åke Nilsson

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A Method for Bus OD Matrix Estimation Using Multisource Data by Di Huang, Jun Yu, Shiyu Shen, Zhekang Li, Luyun Zhao, Cheng Gong

“…Hence, the station-to-station origin-destination (OD) trip information cannot be obtained directly from the available data sources. To address this problem, this paper proposes a methodology that estimates the OD matrix by using smart card and GPS data. …”
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Moisture prediction in chicken litter using hyperspectral data and machine learning by Ahmad Tulsi, Abdul Momin, Victoria Ayres

“…While hyperspectral imaging (HSI) has been widely applied in agricultural sensing, its use for non-destructive moisture estimation in chicken litter remains largely unexplored. …”
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Secure Data Transmission Using GS3 in an Armed Surveillance System by Francisco Alcaraz-Velasco, José M. Palomares, Fernando León-García, Joaquín Olivares

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The Use of LiDAR Terrain Data in Characterizing Surface Roughness and Microtopography by Kristen M. Brubaker, Wayne L. Myers, Patrick J. Drohan, Douglas A. Miller, Elizabeth W. Boyer

“…The availability of light detection and ranging data (LiDAR) has resulted in a new era of landscape analysis. …”
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Blockchain oracles for decentralized agricultural insurance using trusted IoT data by Manoj T, Krishnamoorthi Makkithaya, Narendra V. G., Vijaya Murari T

“…Initially, a method for computing the direct reputation score of IoT devices based on behavioral and data reputation is illustrated. Next, a privacy preserved decentralized oracle mechanism is designed and implemented using a masked secret sharing and secure aggregation scheme. …”
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Detecting small seamounts in multibeam data using convolutional neural networks by Tobias Ziolkowski, Colin W. Devey, Agnes Koschmider

“…This study introduces a deep-learning-based framework for automated small seamount detection in multibeam bathymetry, combining a CNN-based filtering step with U-Net segmentation to enhance accuracy and efficiency. Using multibeam bathymetric data from the SO305–2 expedition, the proposed approach successfully identified 30 seamounts, many of which were undetectable using satellite altimetry. …”
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XAI for Point Cloud Data Using Perturbations Based on Meaningful Segmentation by Raju Ningappa Mulawade, Christoph Garth, Alexander Wiebel

“…The segments are used to introduce perturbations into the input point cloud data and generate saliency maps. …”
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Using topological data analysis and machine learning to predict customer churn by Marcel Sagming, Reolyn Heymann, Maria Vivien Visaya

“…The availability of stored customer data in the form of big data, together with the use of advanced and tuned machine learning (ML) algorithms, have paved the way for the realisation and extraction of useful features associated with customer behaviour and consequently the prediction of customer churn. …”
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Monitoring of Biodiversity in the Erbil Governorate -Iraq Using Remote Sensing Data by Shwan Othman Hussein, Daban Kadhim Omar, Karzan Ahmed Abdulwahid

“… Ensuring the health and diversity of ecosystems has always been a challenge for conservationists. …”
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Prediction of mild cognitive impairment using blood multi-omics data by Daniel Frank Zhang, Daniel Frank Zhang, Cigdem Sevim Bayrak, Qi Zeng, Qi Zeng, Qi Zeng, Minghui Wang, Bin Zhang, Bin Zhang, Bin Zhang, Bin Zhang

“…Nonetheless, diagnosing MCI is challenging because its symptoms can be subtle and are easily missed. Using genomic data from blood samples has been proposed as a non-invasive and cost-efficient approach to build machine learning predictive models for assisting MCI diagnosis. …”
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The development and use of data warehousing in clinical settings: a scoping review by Shiyang Lyu, Simon Craig, Simon Craig, Gerard O'Reilly, Gerard O'Reilly, David Taniar

“…IntroductionThe emergence of data warehousing in clinical settings has greatly enhanced data analysis capabilities, facilitating the accurate and comprehensive extraction of valuable information. …”
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Using Neural Network with Speaker Applications by Baghdad Science Journal

“…In Automatic Speech Recognition (ASR) the non-linear data projection provided by a one hidden layer Multilayer Perceptron (MLP), trained to recognize phonemes, and has previous experiments to provide feature enhancement substantially increased ASR performance, especially in noise. …”
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Data of REEs (Ce, Nd, Th) analysis from Bangka tin tailing applying froth flotation method using sodium oleate and KClO3Mendeley DataMendeley DataMendeley Data by Wiwik Dahan, Djoko Hartanto, Ratna Ediati, Rita Sundari, Subandrio, Irfan Marwanza

“…This article presented the data of REEs (Rare Earth Elements) analysis from exploitation of Bangka tin tailing, Indonesia. …”
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MicroGlycoDB: A database of microbial glycans using Semantic Web technologies by Sunmyoung Lee, Louis-David Leclercq, Yann Guerardel, Christine M. Szymanski, Thomas Hurtaux, Tamara L. Doering, Takane Katayama, Kiyotaka Fujita, Kazuhiro Aoki, Kiyoko F. Aoki-Kinoshita

“…We have developed a MicroGlycoDB database to provide integrated glycan information on important model microorganisms. The data is described using Semantic Web Technologies, which allow microbial glycan data to be represented in a structured format accessible by machines, thus facilitating data sharing and integration with other resources that catalog features such as pathways, diseases, or interactions. …”
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A Study on Big Data Collecting and Utilizing Smart Factory Based Grid Networking Big Data Using Apache Kafka by Sangil Park, Jun-Ho Huh

“…The most widely used method of data gathering at present has an architecture where data is linked through integration of the centrally configured solutions for data gathering and linkage. …”
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