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A numerical model for predicting the Zener-Hollomon parameter in the friction stir processing of AZ31B
Published 2017“…For this purpose, utilized in this work is a robust finite element model with a suitable constitutive equation and boundary conditions the results of which have been previously validated against published experimental data. A virtual test matrix constituting of 16 cases (4 spindle speed, N, x 4 feed, f) was run. …”
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Translation of atherosclerotic disease features onto healthy carotid ultrasound images using domain-to-domain translation
Published 2023“…Exploration of translated features showed that both arterial wall and subcutaneous tissues were modified in the translation, but that the subcutaneous tissue was subject to distortion of the anatomy in some cases. The image quality influenced the disease translation performance. …”
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UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks
Published 2018“…Among the emerging markets, Internet of Things (IoT) use cases are standing out with the proliferation of a wide range of sensors that can be configured to continuously monitor and transmit data for intelligent processing and decision making. …”
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85
Medical data integration using HL7 standards for patient’s early identification
Published 2021“…The experiment goal was to evaluate the patient’s total journey and each related clinical stage by comparing the “routine-based identification” with the “patient’s self-check-in” processes in case of booked appointments. As a key finding, the proposed solution is efficient and could reduce the “patient’s journey time” by more than 14 minutes and “time to identify” patients by 10 minutes. …”
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86
Data-Driven Machine Learning Approach to Integrate Field Submittals in Project Scheduling
Published 2020“…Typically, scheduling techniques rely on general probability estimates, which do not capture the details of the site processes causing schedule deviations. This paper illustrates how machine learning techniques can mine project data to forecast delay in the midst of the project. …”
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Predicting insulin dosage for diabetic patients to reach optimal glucose levels. (c2012)
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Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing
Published 2024“…In contrast, the web has a potentially unlimited source of food data but tapping into this resource has a good chance of corrupted and wrongly labeled images. …”
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Emergency management system design for accurate data: a cognitive analytics management approach
Published 2021“…Design/methodology/approach Cognitive analytics management (CAM) framework (Osman and Anouz, 2014) is used. Cognitive process: The right questions are asked to understand the behavior of every process and the flow of its corresponding data; critical data variables were identified, guidelines for identifying data sources were set. …”
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Business Streamlining: Towards Sustained Business Process Improvement with implementation of Total Quality Management Tools
Published 2023“…This dissertation presents a case study of a company afflicted by inefficient business processes. …”
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A Smart Home Energy Management System Using IoT and Big Data Analytics Approach
Published 2017“…The data acquisition System on Chip (SoC) module collects energy consumption data from each device of each smart home and transmits the data to a centralized server for further processing and analysis. …”
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94
GLOBE program & students' empowerment. (c2007)
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95
Damage assessment and recovery from malicious transactions using data dependency for defensive information warfare
Published 2007“…Since even segmenting the log into clusters may not solve the problem, as clusters/segments may grow to be humongous in size, this is in case of high data/transaction dependency, we suggest a method for segmenting the log into clusters and its sub-clusters; i.e, segmenting the cluster; based on exact data dependency [12], into sub-clusters; based on two different criteria: number of data items or space occupied. …”
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Smart Power Systems Transformation: Advanced Fault Detection With Edge Computing and Signal Processing in LV Networks With EV Charging Stations
Published 2025“…Additionally, Kernel Principal Component Analysis (KPCA) streamlines data processing without compromising critical information, enhancing real-time performance. …”
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Improving the delivery process of water and wastewater treatment plant public projects through the use of IPD principles
Published 2015“…The collected data is used to compute key performance indicators (KPIs) of these projects. …”
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Competency Based Recruitment and Selection in Project Management Processes among United Arab Emirates (UAE) Enterprises
Published 2012“…The study findings shows some discrepancies in the execution and recruitment processes at Kraft Foods, in particularly with regards to the dealing with mid and small sized projects, whereas in the case of FedEx Corporation, regulation or control processes were found to be faulty and caused problems in the course of the projects. …”
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Automated detection of posterior urethral valves in voiding cystourethrography images: A novel AI-Based pipeline for enhanced diagnosis and classification
Published 2024“…Urethral ratios were automatically calculated with image processing and morphological operations. Finally, samples were classified between PUV or non PUV based on urethral ratio. …”
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