Data-Supported Prediction of Surface Settlement Behavior on Opencast Mine Dumps Using Satellite-Based Radar Interferometry Observations by Jörg Benndorf, Natalie Merkel, Andre John

“…Satellite-based radar interferometry (InSAR) technology offers highly detailed data on vertical ground movements with a high spatial and temporal resolution. …”
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Strategy Selection to Enhance Customer Data Quality using AHP: Case Study of General Insurance Company (PT XYZ) by Adinda Rizkita Syafira, Achmad Nizar Hidayanto, Widijanto Satyo Nugroho, Rahmat Mustafa Samik-Ibrahim

“…This strategy emphasizes interdepartmental cooperation to enhance data quality. The results underscore the long-term benefits of improved operational efficiency and customer satisfaction despite initial investment challenges, demonstrating the practical application of AHP in organizational settings.…”
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Regulating ESG Rating and Data Product Providers: Critically Examining EU Regulation through the Lens of Functional Regulatory Consistency by Iris H.-Y. Chiu, Herwig C.H. Hofmann, Felix Pflücke

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Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds by Cop Konrad, Sułek Bartosz, Trzciński Tomasz

“…Our approach requires no manual annotation, no detailed knowledge about actual data feature distribution, and no real-life data of objects of interest. …”
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A Software Tool for ICESat and ICESat-2 Laser Altimetry Data Processing, Analysis, and Visualization: Description, Features, and Usage by Bruno Silva, Luiz Guerreiro Lopes

“…This creates a user-friendly online platform for the analysis, exploration, and interpretation of satellite laser altimetry data. ICEComb was developed using well-known and well-documented technologies, simplifying the addition of new functionalities and extending its applicability to support data from different satellite laser altimetry missions. …”
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A Data-Driven MCDM Approach-Based Spherical Fuzzy Sets for Evaluating Global Augmented Reality Providers in Education by Phi-Hung Nguyen

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Intercomparison of Antarctic Sea-Ice Thickness Estimates from Satellite Altimetry and Assessment over the 2019 Data-Rich Year by Magata Jesaya Mangatane, Marcello Vichi

“…We first compared the methods in 2019, which is the only data-rich year during the overlapping period from 2019 to 2023. …”
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DETERMINING OF OPERATIONAL PARAMETERS FOR TRAWL SYSTEM TAKING INTO ACCOUNT EXPERIMENTAL DATA ON SHAPE OF THE ROPE-NET SHELL OF MIDWATER TRAWLS by O. N. Kruchinin, E. A. Zakharov, D. L. Shabelsky

“…New empirical equations are proposed on the basis of experimental data on shape of the rope-net shell of a midwater trawl, which allow to calculate the horizontal opening for its certain sections. …”
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A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective by Masoud Zafarzadeh, Magnus Wiktorsson, Jannicke Baalsrud Hauge

“…The result of this paper is beneficial to build a ground to transit towards a data-driven state by knowing the applications and use cases described in the literature for the identified technologies.…”
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Tectonic Fractures Modeling Based on Multi-Source Data Fusion in Deep Carbonate Reservoirs, Northeast Sichuan Basin, China by Hui Li, Daqian Zeng, Yuchun You, Guoping Liu, Dandan Wang, Rui Zhang

“…It employs a multi-data fusion approach, combining geological, geomechanical, well-based, and seismic data constraints for DFN modeling. …”
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scICE: enhancing clustering reliability and efficiency of scRNA-seq data with multi-cluster label consistency evaluation by Hyun Kim, Issac Park, Jong-Eun Park, Jong Kyoung Kim, Minseok Seo, Jae Kyoung Kim

“…Abstract Clustering analysis is a fundamental step in scRNA-seq data analysis. However, its reliability is compromised by clustering inconsistency among trials due to stochastic processes in clustering algorithms. …”
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Extending the TPB of residential waste sorting with situational factors using a data-driven approach: The case of Gothenburg, Sweden by Jonathan Cohen, Jorge Gil, Leonardo Rosado

“…This study surveyed residents of Gothenburg, Sweden, to capture empirical data on factors that affect the planned behaviour of waste separation. …”
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Design of an intelligent assisted driving system for underground trackless rubber-tired vehicles based on multi-sensor data fusion by Wei LI, Fei MENG, Yu WANG, Yang WEI, Haixing CHENG, Naibang WANG

“…Aiming at the low intelligence level of trackless rubber-tyred vehicles in coal mines, the harsh working environment, insufficient lighting, high water mist, poor road conditions, complex road conditions and networks, and large visual blind spots of drivers, an intelligent assisted driving system based on multi-sensor data fusion is designed. Firstly, the current status and trend of intelligent application of trackless rubber-tyred vehicles are analyzed; secondly, the framework structure of the multimodal data fusion intelligent assisted driving system is designed, including hardware architecture and software architecture; finally, the specific functional design of the intelligent assisted driving system is given. …”
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Design and Implementation of a Novel IoT Architecture for Data Release System Between Multiple Platforms: Case of Smart Offshores by Bernard Marie Tabi Fouda, Lei Wang, Dezhi Han, Paul Claude Ngoumou, Jacques Atangana

“…The proposed approach thoroughly analyzes the structural model and communication process and then proposes a set of design tables according to the information object (type and amount) of the data to be released. In the application case, the data of the photoelectric composite submarine cables were successfully released with an average mean square error of 3.78 and an average processing time of 1.083 s. …”
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Optimal cluster head selection and rotation of cognitive wireless sensor networks for simultaneous data gathering and long life system by Osamu Takyu, Shohei Fujii, Youhei Akimoto, Mai Ohta, Takeo Fujii, Fumihito Sasamori, Shiro Handa

“…Simultaneous data gathering is an application that exploits the unique advantages of wireless sensor networks. …”
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Blockchain-Enabled Supply Chain Management: A Review of Security, Traceability, and Data Integrity Amid the Evolving Systemic Demand by Özgür Karaduman, Gülsena Gülhas

“…As supply chains become increasingly digitized and decentralized, ensuring security, traceability, and data integrity has emerged as a critical concern. …”
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DaLAMED: A Clock-Frequency and Data-Lifetime-Aware Methodology for Energy-Efficient Memory Design in Edge Devices by Belal Jahannia, Abdolah Amirany, Elham Heidari, Hamed Dalir

“…Although hybrid architectures, which combine multiple memory technologies, are widely used, we show that unified emerging Non-Volatile Memory (eNVM) systems can achieve superior efficiency when driven at their optimal frequencies. This paper describes Data Lifetime Aware Memory Energy-efficient Design (DaLAMED), a technology-agnostic methodology to optimize memory system energy efficiency by considering application-specific data lifetime patterns along with operating frequencies. …”
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Trending research topics on carbon footprint and supply chains: a bibliometric analysis based on the Scopus data (2019–2023) by Ismail Abdi Changalima, Prisca Pascrates Rutatola, Goodluck Goldian Ntangeki

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Promoting the development and approval of new traditional Chinese medicines in China: a pooled analysis of data from 2013 to 2024 by Xiaohong Long, Jie Zhang, Li Yang

“…This study compiled comprehensive data on all new TCMs approved in China from January 2013 to November 2024, analyzing drug characteristics and the changes in development and review timelines before and after the reform. …”
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On Predictive Modeling for the Al2O3 Data Using a New Statistical Model and Machine Learning Approach by Mahmoud El-Morshedy, Zahra Almaspoor, Gadde Srinivasa Rao, Muhammad Ilyas, Afrah Al-Bossly

“…A special case of the new method, namely, a new generalized exponential Weibull model, is introduced. The applicability of the new method is illustrated by means of a real application related to the alumina (Al2O3) data set. …”
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