Constructing Rasterized Covariates from LiDAR Point Cloud Data via Structured Query Language by Rory Pittman, Baoxin Hu

Subjects: “…structured query language (SQL)…”
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Blue shark conservation in the Indian Ocean: data-limited insights on population structure, distribution, and stock assessments by Hoang Huy Huynh, Chun-Yi Hung, Sheng-Ping Wang, Wen-Pei Tsai

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Baby Cry Classification Using Structure-Tuned Artificial Neural Networks with Data Augmentation and MFCC Features by Tayyip Ozcan, Hafize Gungor

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Drug Therapy Structure and Clinical Characteristics of Patients with Atrial Fibrillation According to Data of REKUR-AF Study by I. L. Polshakova, S. V. Povetkin

“…In the framework of the database of patients with atrial fibrillation established in the Kursk region, to study the clinical and anamnestic indicators, the structure of the combined and concomitant diseases in the patients under study, and also to evaluate the usefulness of the diagnostic methods of the study and drug therapy of this pathology.Material and methods. …”
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Enhancing structured data generation with GPT-4o evaluating prompt efficiency across prompt styles by Ashraf Elnashar, Jules White, Douglas C. Schmidt

Subjects: “…structured data generation…”
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Hierarchical Information-Extreme Machine Learning of Hand Prosthesis Control System Based on Decursive Data Structure by Anatolii Dovbysh, Vladyslav Piatachenko, Mykyta Myronenko, Mykyta Suprunenko, Julius Simonovskiy

“…The distinctiveness of the developed method from known machine learning methods was in applying a hierarchical data structure as a decursive binary tree, which allowed for transitioning from multi-class machine learning to two-class learning for each stratum of the decursive tree. …”
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SREDNEKEDROVAYA PALEOSEISMODISLOCATION IN THE BAIKAL RIDGE: ITS STRUCTURE AND THROWS ESTIMATED FROM GROUND‐PENETRATING RADAR DATA by O. V. Lunina, A. S. Gladkov, A. A. Gladkov, I. A. Denisenko

“…Our study aimed to clarify the seismic potential of the Severobaikalsk fault and to discover the structural features of active faults on the NW shores of Lake Baikal. …”
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Revealing the Hidden Social Structure of Pigs with AI-Assisted Automated Monitoring Data and Social Network Analysis by Saif Agha, Eric Psota, Simon P. Turner, Craig R. G. Lewis, Juan Pedro Steibel, Andrea Doeschl-Wilson

“…This proof-of-concept study addresses, for the first time, the hypothesis that applying social network analysis (SNA) on AI-automated monitoring data could potentially facilitate the analysis of social structures of farm animals. …”
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SPECIALITY OF FACIAL STRUCTURE IN PATIENTS WITH DEEP BITE FOR THE CALCULATED DATA RESEARCHED BY A.M. SCHWARZ METHOD by S.I. Doroshenko, S.V. Irkha, V.P. Yacovchuk, I.V. Melnick

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Chemically Activated Carbons from Olive Stones — Peculiarities of Pore Structure and Interpretation of Nitrogen Adsorption Data by M.A. Hourieh, M.N. Alaya, F. El-Sejariah, A.M. Youssef

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Geological structure identification in geothermal manifestation of Lamongan Volcano Complex: A magnetic data analysis approach by Ulumuddin Faqih, Fajar Miftakhul Haris M., Warnana Dwa Desa, Rafi Muhammad Erfand Dzulfiqar, Rahayu K Helda usuma

“…However, the identification of geo - thermal manifestations in this location is limited, so magnetic data can help identify subsurface geological structures to confirm the geo thermal potential in this area. …”
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Fractal Characteristics of the Auroral Oval Structure According to the All-Sky Camera Data in Apatity for 2013–2020 by Kozelov Boris

“…The spatial structure of polar auroras is described by the fractal dimension of glow fluctuations and its anisotropy from direction. …”
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Study of the structure and development of oil deposits in carbonate reservoirs using field data and X-ray microtomography by D. A. Martyushev, I. N. Ponomareva, B. M. Osovetsky, K. P. Kazymov, E. M. Tomilina, A. S. Lebedeva, A. S. Chukhlov

“…At present, a large number of scientific works devoted to the study of the features of the geological structure and the development of oil deposits in complex carbonate reservoirs are based on the use of any one research method. …”
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UPN-GCN: Update Positive-Negative Graph Convolution Neural Network in Non-Euclidean Structured Data by Lijun Fan, Shichao Yi, Wenrui Guan, Pingxin Wang

“…Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have utilized GCNs for data with Euclidean structures. such as image data and language data, and achieved good results, expanding the application scope of GCN. …”
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Incidence and structure of sudden cardiac death among working population of the Bryansk region. GERMINA register data by R. M. Linchak, A. M. Nedbaykin, E. V. Sementsova, I. A. Yusova, V. V. Strukova

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A Cloud Vertical Structure Optimization Algorithm Combining FY-4A and DSCOVR Satellite Data by Zhuowen Zheng, Jie Yang, Taotao Lv, Yulu Yi, Zhiyong Lin, Jiaxin Dong, Siwei Li

“…Clouds are important for Earth’s energy budget and water cycles, and precisely characterizing their vertical structure is essential for understanding their impact. …”
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Conserved genome structure and phylogenetic insights for the heterogeneous subfamily of Convallarioideae (Asparagaceae) revealed from plastome data by Shao-De Wu, Ran Meng, Ze-Long Nie, Ming-Yang Song, Xing-Ru Chen, Jun Wen, Ying Meng

“…Despite its importance, chloroplast genome data for Convallarioideae remain limited, hindering a comprehensive understanding of their genome structural evolution and phylogenetic relationships. …”
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Beyond boundaries: Charting the frontier of healthcare with big data and ai advancements in pharmacovigilance by Arohi Agarwal, Gagan Singh, Samyak Jain, Piyush Mittal

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Re-evaluation of the stratigraphy, structural, and depositional environment of Kolmani field, Gongola sub-basin, northeast Nigeria using outcrop data, ditch cutting data, and well log data for enhanced hydrocarbon exploration by Chekwube Nnamdi Didi, Olawale Olakunle Osinowo, Okey Eliseus Akpunonu, Musa Bappah Usman

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OECD Structural Analysis Databases: Sectoral Principles in the Study of Markets for Goods and Services by M. D. Simonova

Subjects: “…structural economic analysis…”
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