Mining co-location patterns from distributed spatial data by Sandipan Maiti, R.B.V. Subramanyam

Subjects: “…Spatial data…”
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Comparing New Wireless Sensor Network Protocols through Simulation and Data Analysis by Himanshu Agarwal, Atul Pratap Singh, Ajeet Singh, Amit Kumar, Pratik K. Agrawal, S. Saranya

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Creation of a Dataset of MSCT-Images and Clinical Data for Acute Cerebrovascular Events by F. A. Sharifullin, D. D. Dolotova, T. G. Barmina, S. S. Petrikov, L. S. Kokov, G. R. Ramazanov, Y. R. Blagosklonova, I. V. Arkhipov, I. M. Skorobogach, N. N. Cheremushkin, V. V. Donitova, B. A. Kobrinski, A. V. Gavrilov

“…Background The use of neuroimaging methods is an integral part of the process of assisting patients with acute cerebrovascular events (ACVE), and computed tomography (CT) is the «gold standard» for examining this category of patients. …”
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Efficient productivity prediction model based on edge data compression in smart farms by Peng Jin, Wenshuang Du, Wenquan Jin

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Data efficient prediction of excited-state properties using quantum neural networks by Manuel Hagelueken, Marco F Huber, Marco Roth

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Reflected Light Microscopic Iron ore image dataset for iron ore characterizationMendeley Data by Shama Firdaus, Shamama Anwar, Subrajeet Mohapatra, Prabodha Ranjan Sahoo

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Noninvasive Blood Glucose Level Monitoring for Predicting Insulin Infusion Rate Using Multivariate Data by G. Geetha, J. Godwin Ponsam, K. Nimala

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A posterior probability approach for gene regulatory network inference in genetic perturbation data by William Chad Young, Adrian E. Raftery, Ka Yee Yeung

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ELABORATION OF TASK CONTROL ALGORITHMS WITH PARALLEL COMPUTING IN CLUSTER COMPUTING SYSTEMS by Abdulmajed A. Al-khulaidi, Yury O. Chernyshev

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Contribution of Citizen Science Data on the Evaluation of Local Biodiversity of Benthic Macroinvertebrate Communities by Alessandro Lagrotteria, Samuele Roccatello, Alberto Doretto

“…This study, conducted in Italy, aimed to complement data on river macroinvertebrates collected by the Regional Environmental Protection Agency (ARPA) with additional data gained by volunteers. …”
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Computational Intelligence and Soft Computing Paradigm for Cheating Detection in Online Examinations by Sanaa Kaddoura, Shweta Vincent, D. Jude Hemanth

“…We have also presented state-of-the-art methods followed, which are capable of mitigating online cheating, namely, face recognition, face expression recognition, head posture analysis, eye gaze tracking, network data traffic analysis, and detection of IP spoofing. …”
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Privacy-preserving multi-party data joint analysis scheme based on multiset operations in smart contracts by Xin Liu, Huize Gao, Dan Luo, Lanying Liang, Lu Peng, Yuchen Zhang, Shijie Jia, Gang Xu, Xiubo Chen, Baohua Zhang, Yu Gu

“…This paper applies secure multi-party computation (MPC) to smart contracts, based on the secure computation of intersection, union, and difference of multi-party multisets (IUDMM), to protect data privacy while supporting joint analysis. …”
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Gender composition in the work environment and physicians’ income from Medicare Part B fee-for-service payments: evidence from longitudinal data by Qing Gong, Xiaochu Hu

“…We allow the gender composition to have differential impacts on women and men by interacting it with the physician’s gender. …”
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Is grip strength linked to body composition and cardiovascular risk markers in primary schoolchildren? Cross-sectional data from three African countries by Juerg Utzinger, Nicole Probst-Hensch, Honorati Masanja, Uwe Pühse, Bassirou Bonfoh, Ivan Müller, Cheryl Walter, Rosa Du Randt, Stefanie Gall, Siphesihle Nqweniso, Peter Steinmann, Markus Gerber, Fredros O Okumu, Serge Ayekoé, Jean T Coulibaly, Dao Daouda, Bomey Clément Gba, Benal Kouassi, Sylvain G Traoré, Marceline F Finda, Elihaika G Minja, Getrud J Mollel, Johanna Beckmann, Christin Lang, Kurt Z Long

“…Therefore, this study examines whether HGS is associated with body composition and markers of cardiovascular risk in children from three sub-Saharan African countries.Design Cross-sectional study.Setting Public primary schools (grade 1–4) in Taabo (Côte d’Ivoire), Gqeberha (South Africa) and Ifakara (Tanzania).Participants Data from 467 children from Côte d’Ivoire (210 boys, 257 girls), 864 children from South Africa (429 boys, 435 girls) and 695 children from Tanzania (334 boys, 361 girls) were analysed.Primary and secondary outcome measures Body composition (assessed via bioelectrical impedance analysis) was the primary outcome. …”
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Deep Learning Autoencoders for Fast Fourier Transform-Based Clustering and Temporal Damage Evolution in Acoustic Emission Data from Composite Materials by Serafeim Moustakidis, Konstantinos Stergiou, Matthew Gee, Sanaz Roshanmanesh, Farzad Hayati, Patrik Karlsson, Mayorkinos Papaelias

“…Structural health monitoring (SHM) in fiber-reinforced polymer (FRP) composites is essential to ensure safety and reliability during service, particularly in critical industries such as aerospace and wind energy. …”
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Association between methylmalonic acid and composite dietary antioxidant index and diabetic retinopathy: data from National Health and Nutrition Examination Survey by Xue Pan

“…We aimed to explore the impact of MMA levels and the composite dietary antioxidant index (CDAI) on DR risk in patients with diabetes. …”
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Composite anthropometric data quality index for children under the age of 5 on the Brazilian National Food and Nutrition Surveillance System, 2019–2021 by Rafaela Oliveira-Santos, Priscila Ribas de Farias Costa, Natanael de Jesus Silva, Juliana Freitas de Mello e Silva, Laís Silva Sacramento, Gilberto Kac, Rita de Cássia Ribeiro-Silva, Mauricio Lima Barreto

“…Abstract Background A composite evaluation that merges various data quality indicators separately enabled the researchers to score the overall data quality of the research. …”
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Post-Anthropocene_2.0: Alternative Scenarios through Nature/Computing Coalition Applicable in Architecture by Yannis Zavoleas

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On Signifiable Computability: Part II: An Axiomatization of Signifiable Computation and Debugger Theorems by Vladimir A. Kulyukin

“…Signifiable computability aims to separate what is theoretically computable from what is computable through performable processes on computers with finite amounts of memory. …”
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Thermographic Data Processing and Feature Extraction Approaches for Machine Learning-Based Defect Detection by Alexey Moskovchenko, Michal Svantner

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