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An Efficient Image Dehazing Technique Using DSRGAN and VGG19
Haze and clouds can cause the weather to affect the clarity and contrast of photos that are taken by cameras, air quality, and other reasons. To...
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Process Selection for RPA Projects with MDCM: The Case of Izmir Bakircay University
Robotic Process Automation (RPA) has emerged as a powerful technology for streamlining business operations by automating repetitive tasks. It is...
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An Archaeology of Perception in the Metaverse: Seeing a World Within a World Through the Artist’s Eye
This chapter proposes a 3D Virtual Reality (VR) metaverse in the shape of a world within a world, to be used for an experiential archaeological...
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Cinematic Virtual Reality as a Veiled Opportunity to Enter the Metaverse: The Question of Field of View
This chapter discusses the opportunities for using cinematic virtual reality (CVR) to enhance our understanding of the imagined metaverse—the...
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Superpowers in the Metaverse: Augmented Reality Enabled X-Ray Vision in Immersive Environments
This chapter explores the use of augmented reality (AR) enabled X-ray vision (XRV) in immersive environments. AR XRV is the ability to render a...
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The Sensory Enrichment and Interactivity of Immersive User Experiences in the Public Sector: The Ionian Film Office Metaverse
This chapter examines the current state of the art in the implementation of virtual reality technologies in the public sector, specifically focusing...
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Telling Data Stories, the Way Averroes Wrote His Commentaries – A Three-Level Approach to Facilitate Data-Driven Decision Making
Data stories are a narrative format that presents information and data in a way that is easy to understand and engage with. They contain various...
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Data Literacy in Public Libraries in Croatia: An Empirical Study
The importance of data literacy in a data-driven world is ever-increasing. There are many definitions for the term data literacy, suggesting...
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Maturity Model as the Tool for Information/Data Literacy Assessment
The aim of this article is to present the similarities between two assessment tools: data literacy (DL) rubrics and research data management services...
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Improving STEM Competences by Using Artificial Intelligence to Generate Video Games Based on Student Written Stories
In this paper the results of conducted research as a prerequisite for a model developed in order to foster STEM competences of non-STEM students are...
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Strengthening Cloud Applications: A Deep Dive into Kill Chain Identification, Scoring, and Automatic Penetration Testing
The need to anticipate and defend against potential threats is paramount in cybersecurity. This study addresses two fundamental questions: what...
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Translucent Precision: Exploiting Enabling Information to Evaluate the Quality of Process Models
An event log stores information about executed activities in a process. Conformance-checking techniques are used to measure the quality of a process...
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Control and Monitoring of Software Robots: What Can Academia and Industry Learn from Each Other?
Robotic Process Automation (RPA) has witnessed significant growth, becoming widely adopted in practice. This surge in the use of RPA technology has...
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Self Contrastive Learning for Session-Based Recommendation
Session-based recommendation, which aims to predict the next item of users’ interest as per an existing sequence interaction of items, has attracted...
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Investigating the Effects of Sparse Attention on Cross-Encoders
Cross-encoders are effective passage and document re-rankers but less efficient than other neural or classic retrieval models. A few previous studies...
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Query Obfuscation for Information Retrieval Through Differential Privacy
Protecting the privacy of a user querying an Information Retrieval (IR) system is of utmost importance. The problem is exacerbated when the IR system...
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A Phrase-Level Attention Enhanced CRF for Keyphrase Extraction
Since sequence labeling-based methods take into account the dependencies between neighbouring labels, they have been widely used for keyphrase...
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WebSAM-Adapter: Adapting Segment Anything Model for Web Page Segmentation
With the advancement of internet technology, web page segmentation, which aims to divide web pages into semantically coherent units, has become...
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Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision
In Sequential Recommenders (SR), encoding and utilizing modalities in an end-to-end manner is costly in terms of modality encoder sizes. Two-stage...
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DREQ: Document Re-ranking Using Entity-Based Query Understanding
While entity-oriented neural IR models have advanced significantly, they often overlook a key nuance: the varying degrees of influence individual...