In recent years, the number of computerscience students has steadily risen, but the time for educators to give feedback to the students remains the same. Because of this predicament, many systems for the automatic or...
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ISBN:
(纸本)9798400706226
In recent years, the number of computerscience students has steadily risen, but the time for educators to give feedback to the students remains the same. Because of this predicament, many systems for the automatic or semi-automatic assessment of student tasks were developed. A fundamental problem of this development is that most of these assessment systems deploy a different type of data representation, which leads to a lack of interoperability between the approaches. This hinders the reuse of teaching materials that need to match the targeted system, leading to situations in which instructors need to recreate their materials. In this work, we aim to close this gap by introducing a model-driven approach called Assisted Assessment. The approach uses a technology-independent assessment model to bridge instructors' and assessment systems' technical spaces, helping instructors to transform their material for various systems. We introduce Assisted Assessment by describing the scenario of an undergraduate course for software technology and how the approach can help to manage the different available assessment systems.
This paper attempts to present a thorough review of different papers defining face recognition systems as well as autonomous tracking systems. This review will help in understanding the working of different recognitio...
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computer vision systems face significant challenges in human-human interaction recognition in dynamic environments, particularly with cluttered backgrounds. In this paper, we propose a novel approach that leverages Op...
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Unsupervised cross-modal hashing has attracted more and more attention in the field of image and text retrieval due to its ability to operate without the constraints of label information. Although the single-scale sim...
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In this article, we evaluate the evolution of LLM capabilities w.r.t. the RDF Turtle and SPARQL language as foundational skills to assist with various KGE tasks. We measure the LLM response quality using 6 LLM-KG-Benc...
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ISBN:
(纸本)9783031789519;9783031789526
In this article, we evaluate the evolution of LLM capabilities w.r.t. the RDF Turtle and SPARQL language as foundational skills to assist with various KGE tasks. We measure the LLM response quality using 6 LLM-KG-Bench tasks for a total of 15 LLM versions available over the course of 2023, covering 5 different "major version" LLM classes (GPT-3.5 Turbo, GPT-4, Claude 1.x, Claude 2.x, and Claude Instant 1.x).
This study dives into the efficacy of deep learning models within the field of CAPTCHA recognition, with a primary focus on bolstering online security measures. Our inquiry suggests a unique perspective by using Convo...
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In this paper, a slotted multi-input-multi-output (MIMO) substrate integrated waveguide (SIW) antenna is presented for mm wave frequency bands and 5G wireless applications. The proposed design resonates in n257 freque...
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The proposed system aims to create a safe online voting system. Nowadays voting remains a serious safety and security issue so this system provides high performance and security. The System seeks to develop a face rec...
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Elderly individuals often face challenges in independent living due to age-related cognitive and physical decline. To address these issues, we propose an innovative Augmented Reality (AR) system, "ElderEase AR&qu...
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The current mainstream aspect level sentiment analysis methods focus on modeling the relationship between word representations in text and their context, fail to fully utilize the syntactic structure information of th...
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