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Rapid simulation of building physical processes using the coarse-grain method
Published 2017“…The paper is concerned with an artificial neural network (ANN) based coarse-grain method (CGM) for rapid simulation of physical processes in buildings, such transient heat-flow, fire propagation, and the circulation/dispersal of fumes or pathogens in a building. …”
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Modelling the cryogenic environment aided by CFD & FEM to provide optimized solutions for unconventional manufacturing of aerospace alloys
Published 2020“…Cryogenic machining is steadily gaining traction as an eco-friendly unconventional machining method, effectively improving the machinability of the workpiece by cooling and lubricating the cutting process. …”
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A Six Sigma Define Phase Methodology for Service-Level Compliance Processes
Published 2007Get full text
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Below-Average Bidding Method
Published 2010“…A comparison of the three methods provides information and insights to help owners with the difficult choice of a suitable bidding method for the project at hand…”
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Artificial Intelligence-Based Methods for Precision Cardiovascular Medicine
Published 2023“…Overall, our review provided a comprehensive overview of the current state of knowledge in the field of AI-based methods for precision cardiovascular medicine and offered new insights for researchers interested in this research area.…”
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Functional GO-based membranes for water treatment and desalination: Fabrication methods, performance and advantages. A review
Published 2021“…This paper comprehensively reviews the recent advances of GO utilization in pressure, concentration and thermal-driven membrane processes. A brief overview on GO particles, properties, synthesis and functionalization methods was provided. …”
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Iterative Methods for the Solution of a Steady State Biofilter Model
Published 2017Get full text
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Novel Near-Field Microwave Testing Method for Outdoor Insulators
Published 2011Get full text
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Fresh Fruit Bunch Ripeness Classification Methods: A Review
Published 2024“…This review then presents a performance comparison and benchmarking process, providing comprehensive insights into the strengths and weaknesses of each technique. …”
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Artificial intelligence-based methods for fusion of electronic health records and imaging data
Published 2022“…More specifically, we focus on studies that only fused EHR with medical imaging data to develop various AI methods for clinical applications. We present a comprehensive analysis of the various fusion strategies, the diseases and clinical outcomes for which multimodal fusion was used, the ML algorithms used to perform multimodal fusion for each clinical application, and the available multimodal medical datasets. …”
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Decoding silent speech: a machine learning perspective on data, methods, and frameworks
Published 2025“…This study offers a thorough overview of SSR, tracing its evolution from early waveform analysis to the most recent ML methods. We start by examining current SSR techniques using ML and determining the essential conditions for efficient SSR systems. …”
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Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI
Published 2024“…This study delves into the interpretability of these models using explainable AI (XAI), such as eigen visualization for localization and heatmap analysis for segmentation. This exploration provides deeper insights into the decision-making processes of the models, thereby enhancing their reliability. …”
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A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition
Published 2025“…Based on our numerical results, PRF performed better than traditional RF and other ML methods for FER, providing 98.37% mean absolute accuracy. …”
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Pharmacist-led educational interventions provided to healthcare providers to reduce medication errors: A systematic review and meta-analysis
Published 2023“…</p> <h3>Methods</h3> <p>A systematic review and meta-analysis was conducted through searching Cochrane Library, EBSCO, EMBASE, Medline and Google Scholar from inception to June 2020. …”
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Non-Linear Profile Monitoring Using Artificial Neural Network Fault Detection
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Artificial Intelligence–Based Methods for Integrating Local and Global Features for Brain Cancer Imaging: Scoping Review
Published 2023“…Furthermore, it explores how the ViT-based models augmented the performance of convolutional neural networks for brain cancer imaging.</p><h3>Methods</h3><p dir="ltr">This review performed the study search and study selection following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. …”
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Deep Learning for the Extraction of Aspects in Textual Opinions
Published 2023“…The findings indicated that deep learning models demonstrated promising results and surpassed the performance of traditional methods in ABSA. CNN-based models, in particular, achieved remarkable outcomes on benchmark datasets. …”
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