Search Results - data processing methods

A Study of the Poverty Alleviation Program for Young Families in Bantarkawung Subdistrict, Brebes by Syifa Latif Qolbiyani, Drajat Tri Kartono, Sugihardjo Sugiharjo, Norma Latif Fitriyani, Muhammad Syafrudin

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Optimising Manufacturing Efficiency: A Data Analytics Solution for Machine Utilisation and Production Insights by Saleh Seyedzadeh, Vyron Christodoulou, Adam Turner, Saeid Lotfian

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Medical information management system based on multi-source heterogeneous big data by Yiwen Liu, Xinling Li, Dequan Yu, Yangchao Xu

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Usage of the digital economy information infrastructure to improve the quality of statistical data by Yuriy P. Lipuntsov

“…The purpose of the work is to describe the methods of collecting and processing statistical information that will contribute to improving the quality of the presented data. …”
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Analysis of Multimodal Data in Project Management: Prospects for Using Machine Learning by P. A. Mikhnenko

“…However, the project’s change management processes do not take into account the need to implement analytical procedures for dynamic processing of multimodal data arrays. …”
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Edge Computing for Real-Time Climate Data Analysis in Smart Farming by Shnain Ammar Hameed, Abed Z., Annapoorna Errabelli

“…In modern agriculture, there is a need for precise and timely analysis of climate data for its sustainability. In smart farming, real-time insight is scheduled for the informed decision taking but the traditional ways of data collection and processing does not support such fast and accurate measurements. …”
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Success Factors for the Implementation of Big Data as a New Economic Resource by A. E. Karlik, V. V. Platonov, M. V. Tihonova, E. A. Jakovleva

“…The basis of the organizational capacity for the implementation of big data is information resources, human resources and corporate culture and systems (technologies) for data processing and analysis.…”
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Rethinking deep learning in bioimaging through a data centric lens by Jiajun Cao, Jan Wenzel, Shanghang Zhang, Josephine Lampe, Hongxiao Wang, Jiachen Yao, Zhicheng Zhang, Shuo Zhao, Yu Zhou, Chao Chen, Markus Schwaninger, Jufeng Yang, Danny Z. Chen, Jianxu Chen

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An Assessment of the Utility of a Bayesian Framework to Improve Response Propensity Models in Longitudinal Data by Eliud Kibuchi, Gabriele B Durrant, Olga Maslovskaya, Patrick Sturgis

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Impact of sampling strategy on inference of community assembly processes in phylogenetic island biogeography by Ornela N. Dehayem, Ryan F. A. Brewer, Luis Valente, Frederic Lens, Rampal S. Etienne

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Algorithm for Processing Measurements of External Respiration Parameters Using Motion Capture Systems by A. V. Drozdova, A. N. Tkachenko, E. M. Skrebova, I. A. Sakun

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A Literature Review on the Use of Weather Data for Building Thermal Simulations by Zhengen Ren

“…Additionally, this paper evaluates methods for weather data processing, including interpolation, downscaling, and synthetic generation, to improve simulation accuracy. …”
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LarynxFormer: a transformer-based framework for processing and segmenting laryngeal images by Rune Mæstad, Abdul Hanan, Haakon Kristian Kvidaland, Haakon Kristian Kvidaland, Hege Clemm, Hege Clemm, Reza Arghandeh

“…These models include both convolutional-based and transformer-based methods. We propose a new framework called LarynxFormer, consisting of a pre-processing pipeline, transformer-based segmentation, and post-processing of laryngeal images. …”
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Abrasive processing mechanization of parts from polymeric composite materials for paste operation by N. V. Kozulko

“…The development of the final abrasive processing of parts from polymeric composite materials with the use of the flexible grinding tool is considered. …”
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Big Data Analytics Framework for Decision-Making in Sports Performance Optimization by Dan Cristian Mănescu

“…This study proposes a comprehensive big data analytics framework that integrates data acquisition, processing, analytics, and decision support, demonstrated through synthetic datasets in football, basketball, and athletics case scenarios, modeled to represent typical data patterns and decision-making workflows observed in elite sport environments. …”
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Parallel acceleration algorithm for wavelet denoising of UAVAGS data based on CUDA by Hexi Wu, Xin Wang, Xuan Zhao, Xin Qiao, XinJie Wang, XiaoJian Qiu, Zhen Fu, Chao Xiong

“…The objective was to identify the most suitable block size for efficiently processing UAVAGS data. Subsequently, a performance evaluation was conducted by comparing the acceleration ratios of GPU and CPU for different data volumes, as well as varying wavelet basis functions under the same data volume conditions. …”
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New and Existing Approaches Reviewing of Big Data Analysis with Hadoop Tools by Watheq Ghanim Mutasher, Abbas Fadhil Aljuboori

“…The purpose of this paper is to analyze literature related analysis of big data of social media using the Hadoop framework for knowing almost analysis tools existing in the world under the Hadoop umbrella and its orientations in addition to difficulties and modern methods of them to overcome challenges of big data in offline and real –time processing. …”
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Digital Twin and Data-Driven Remaining Useful Life Prediction of Gearbox by Quanbo Lu, Mei Li, Xiaojuan Huang

“…To realize reliable RUL prediction of gearbox, this paper proposes a novel approach called DT-SegRNN, which combines Digital Twin (DT) simulations with the data processing power of a Segment Recurrent Neural Network (SegRNN) to enhance RUL prediction. …”
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Process evaluation for the STAMINA randomised controlled trial: A protocol. by Saïd Ibeggazene, Sophie Reale, Alison Scope, Grace Price, Eileen Sutton, Liam Bourke, Michelle Collinson, Jamie Stokes, Liz Steed, Derek Rosario, Amanda J Farrin, Steph J C Taylor

“…<h4>Conclusion</h4>This process evaluation protocol provides a detailed description of relevant data collection methods and trial processes of the STAMINA randomised controlled trial which will allow us to determine whether the intervention can be delivered with fidelity, is acceptable to patients, healthcare professionals and exercise professionals, and understand the implications for embedding and sustaining the intervention in the routine care.…”
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Interpolation Theory and Artificial Intelligence: A Roadmap for Satellite Data Augmentation by Isabella Mereu, Mariarosaria Natale, Michele Piconi, Alessio Troiani, Vincenzo Suriani, Domenico Daniele Bloisi, Paolo Burghignoli, Danilo Costarelli, Alessandro Veneri, Davide Comite

“…The analysis and processing of satellite remote sensing data have established new paradigms to observe the Earth and to study climate changes. …”
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