The use of ASTER and landsat remote sensing data for exploring hydrothermal mineral in Arabian-Nubian Shield by Abdelkareem M., Abdalla F., Yousef S.

“…The plausible zone of very high mineral resources covers about 6.57 %. Analysis of ASTER data revealed that this zone is reliable with phyllic and argillic minerals and iron-oxides. …”
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Assessing excavatability in varied rockmass conditions using real-time data and machine learning technique by Shafi Muhammad Pathan, Abdul Ghani Pathan, Muhammad Saad Memon

“…The frequency distribution of TLT data indicates that most materials in the pit fall under “Very Easy” and “Easy” classes, simplifying excavation processes. …”
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Utilizing machine learning and digital twin technology for rock parameter estimation from drilling data by Abdullah Khan, Yiming Li, Muhammad Shoaib, Umair Sajjad, Fuxin Rui

“…The integration of the DT technology with numerical methods, including finite element analysis (FEA) and discrete element model (DEM), facilitates real-time monitoring, simulation, and optimization of rock parameters extracted from drilling, which can enhance accuracy and robustness even with limited empirical data, representing a notable solution. …”
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Cooling System for Data Centers Based on the Air-Water-Air Principle with Increased Temperature Differential by Jing Yang, Xie Xiaoyun, Jiang Yi

“…Improving the energy efficiency of data centers by conserving energy in cooling systems is a priority strategy. …”
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Developing Web-Based Patient Reservation and Data Management System using Rapid Application Design by A'ang Subiyakto, Satya Yudhanta, Qurrotul Aini

“…This research aimed to create a digital solution that will not only improve the clinic's operational efficiency and prevent data duplication but will also make services more accessible to patients. …”
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Archiving Archaeological Data: Understanding current practice through case studies from established repositories by Tim Evans, Hella Hollander, Ulf Jakobsson, Valentijn Gilissen, Holly Wright

“…The workflows examined are representative of operational workflows around data assessment and data removal that are common to all data repositories, as well as specific strategies for dealing with Microsoft Access databases, a commonly deposited file format used by archaeologists for assessment and analysis. …”
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Real-Time Optimization of RISC-V Processors Based on Branch Prediction and Division Data Dependency by Zhiwei Jin, Hesong Di, Tingpeng Hu, Peng Wang

“…The changes in the “Standalone Hardware Real-Time Performance Parameter (H_rtp)” data are consistent with theoretical analysis, and it can meet the evaluation needs for “hardware real-time performance”.…”
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Evaluating the Quality of High-Frequency Pedestrian Commuting Streets: A Data-Driven Approach in Shenzhen by Xin Guo, Yuqing Hu, Yixuan Zhang, Shengao Yi, Wei Tu

“…By integrating multi-source urban big data, we identify HFPCSs using LBS data and develop a multi-dimensional evaluation system that incorporates 1.07 million Points of Interest (POIs) for assessing convenience, utilizes DeepLabv3+ for the semantic segmentation of street view imagery to evaluate comfort, and leverages 15,374 km of road network data for accessibility analysis. …”
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Analysis of Blockchain-Technology by Danylo Dvorchuk, Iryna Shpinareva

“…The objective of this study is to conduct an in-depth analysis of blockchain technology, investigating its core principles, operational mechanisms, and performance optimization strategies. …”
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Multi-model learning for vessel ETA prediction in inland waterways using multi-attribute data by Abdullah Al Noman, Anton Zitnikov, Aaron Heuermann, Klaus-Dieter Thoben

“…Existing ETA prediction models largely rely on Automatic Identification System (AIS) data but often overlook additional factors. This study introduces a deep learning-based Multi-Model learning approach that fuses multi-attribute data from multiple sources to enhance ETA prediction accuracy. …”
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Research on the Key Issues of Big Data Quality Management, Evaluation, and Testing for Automotive Application Scenarios by Yingzi Wang, Ce Yu, Jue Hou, Yongjia Zhang, Xiangyi Fang, Shuyue Wu

“…This paper provides an in-depth analysis and discussion of the key issues of quality management, evaluation, and detection contained in big data for automotive application scenarios. …”
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Routing Protocols and Mobility Predictions for UAV Data Collection From Agricultural Sites: A Survey by Khemis Ben Samuel, Stephen D. Wolthusen, Julianne Sansa Otim, Roseline Nyongarwizi Akol, Mary Nsabagwa

“…In this work, UAV’s path optimizations consider crop locations, the appropriate placement of ground sensor nodes and how neighbouring UAVs are controlled for efficient data collection and relay. Analysis of the collected data can improve crop health, cultivation management, livestock monitoring, and reduction on operational cost. …”
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Estimating Aggregate Capacity of Connected DERs and Forecasting Feeder Power Flow With Limited Data Availability by Amir Reza Nikzad, Amr Adel Mohamed, Bala Venkatesh, John Penaranda

“…However, forecasting, power flow analysis, and optimization of feeders for operational decision-making by individually modeling each of these numerous renewables in the absence of complete information are operationally challenging and technically impractical. …”
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Implementation of Fuzzy Logic Scheme for Assessment of Power Transformer Oil Deterioration Using Imprecise Information by Zuhaib Nishter, Fangzong Wang

“…This research aims to analyze the implementation of a fuzzy logic-based approach in improving the diagnosis of power transformer oil deterioration, which is critical for maintaining the efficient performance and operational life of transformers. Traditional diagnoses are based on strict measurements that do not account for the factors of variability and uncertainty of the actual data. …”
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Second-generation downscaled earth system model data using generative machine learningOEDI by Grant Buster, Brandon N. Benton, Deeksha Rastogi, Shih-Chieh Kao, Guilherme Castelao, Jordan Eisenman

“…The 4-km hourly resolution of the downscaled data enables understanding of spatial and temporal variability at the scales necessary for energy system operational planning. …”
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ANALISIS RISIKO DAN MITIGASI PADA PENGIRIMAN ALAT BERAT DENGAN METODE ERM by Tulus Martua Sihombing, Wahyudi Adiprasetyo, Yehezkhiel Shallom Irajani

“…The research method used is the Enterprise Risk Management (ERM) method with descriptive analysis and qualitative approach. Data collection techniques through in-person interviews and questionnaires. …”
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Eliminating data silos with business intelligence: The role of organizational culture and leadership in Jordan’s insurance sector by Ibrahim A. Abu-AlSondos

“…Mediation analysis confirmed that improved data quality partially explained BI’s impact on decision-making (β = 0.216, p = 0.0012). …”
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How can data analytics and employee upskilling foster digital maturity and sustainable practices in SMES? by Levente Peter Balint, Adam Pentek, Zsofia Nabradi, Szilvia Botos

“…While digital tools like data analytics can significantly boost operational efficiency and sustainability, many SMEs lack the internal capabilities to fully leverage them. …”
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Selection of Optimized Diagnostic Approach for Cardiovascular Diseases Leveraging Dynamic Linguistic Intuitionistic Fuzzy Decision‐Making Technique by M. Ameer, Walid Emam, Awais Yousaf, Muhammad Younis

“…The fuzzy aggregation operators are the best tools for the aggregation of uncertain and vague data. …”
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A carbon-centric evaluation framework for building-integrated agriculture: a comparison of three farm types and building standards by Mohamed Imam, Alesandros Glaros, Cheney Chen, Ajwal Dsouza, Amy Brander, Robert Ferguson

“…This study develops a cross-industry Life Cycle Assessment (LCA) framework that harmonizes agricultural and building performance indicators, using carbon as a unifying metric to evaluate operational and embodied impacts. The research combines a meta-analysis of existing LCA studies, detailed case study evaluations, and novel paired metrics to quantify energy use, water use, and greenhouse gas emissions within a case study. …”
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