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Recursive Quad-Tree Block Partitioning for Data Embedding in Images
Published 2020“…In this paper, we propose to embed messages in raw images using a recursive block partitioning technique adopted from HEVC video coding technology. …”
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A Two-Tier Post-Processing Framework for Lightweight Video Anomaly Detection
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First Impressions by Machine: Candidates’ Perceptions of Ethics and Employer Image in AI Recruitment Process
Published 2025“…Purpose – The aim of this research is to investigate the impact of perceived usefulness of AI recruitment processes (PU-AIRP) on candidate perceptions of utility (PUT), fairness (PF), and privacy (PP), and how these factors influence organizational attractiveness (OA). …”
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Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection
Published 2023“…<h3>Objective</h3><p dir="ltr">During the last few years, underwater object detection and marine resource utilization have gained significant attention from researchers and become active research hotspots in underwater image processing and analysis domains. This research study presents a data fusion-based method for underwater salient object detection and ocean environment monitoring by utilizing a deep model.…”
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Automatic image quality evaluation in digital radiography using for‐processing and for‐presentation images
Published 2024“…Various examination protocols were used, which incorporate diverse post‐processing algorithms. The IQ metrics’ values (IQ‐scores) obtained were analyzed to investigate the effects of increasing incident air kerma (IAK) on the image receptor, tube potential (kVp), additional filtration, and examination protocol on image quality, and the differences between image type (raw or clinical).…”
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Unsupervised Feature-Based Visualization Tool Applied on Medical Data
Published 2020“…It then invokes a hierarchical clustering process to cluster the data following the user-chosen features, and produces a dendrogram structure for each combination of target features. …”
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Improved Machine Learning for Multiclass Fault Classification in Industrial Processes
Published 2025Subjects: -
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Closing the Loop: An Empirical Investigation of Causality in IT Business Value
Published 2017“…When our finding is combined with extant research, it becomes reasonable to propose that unidirectional causality does not fully describe the process of IT business value creation. Instead, we argue that existing static models of IT business value with unidirectional causality can be recast as dynamic models that explicitly incorporate multiple time periods and a positive feedback relationship to more accurately capture the complexity of this process. …”
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A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences
Published 2025“…The first block leverages Spatiotemporal Ridgelet Transform (STRT) and Multi-Frame Adaptive Singular Value Decomposition (MF-ASVD) as a dynamic feature refinement process, reducing noise and computational complexity while preserving critical features. …”
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Three-phase approach for curriculum-based course timetabling problem. (c2012)
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The Use of Artificial Intelligence and Big Data in the Continuous Improvement Process of Engineering Curricula
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Genetic and heuristic algorithms for regrouping service sites. (c2000)
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Large-scale annotation dataset for fetal head biometry in ultrasound images
Published 2023“…It is also compatible with multiple medical imaging software and deep learning frameworks. The reliability of the annotations is verified through a two-step validation process involving a Senior Attending Physician and a Radiologic Technologist. …”
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All in the value
Published 2018“…Companies and social networking sites (SNSs) are hailing such types of advertising as being more credible to users as they feature their friends’ indirect endorsements; however, the issue of friends’ likability alongside the users’ relationships with the actual SNS is seldom considered with regard to any potential negative/positive effects they might have on brands’ relationships and the perceived value of advertising within SNSs. Design/methodology/approach Taking a customer-centric approach and based on the social information processing theory, this study investigates the influence of friends’ likability and similarity and users’ relationships with the SNS (Facebook, FB) on brands’ relationships and advertising value by using a Web-based survey. …”
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A capacity margin for IP networks with QoS constraints and uncertain demands
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Automatic image quality evaluation in digital radiography using a modified version of the IAEA radiography phantom allowing multiple detection tasks
Published 2025“…<h3>Purpose</h3><p dir="ltr">To evaluate image quality (IQ) of for‐processing (raw) and for‐presentation (clinical) radiography images, under different exposure conditions and digital image post‐processing algorithms, using a phantom that enables multiple detection tasks.…”
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A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method
Published 2022“…The LSB substitution method can minimize the error rate in embedding process and can achieve greater reliability in criteria, using novel algorithm based on value difference. …”
