Outcome of the 3rd ORKG Curation Grants
This is an overview of the results from the 3rd ORKG Curation Grant Program in 2023. Below you will find an enumeration of all our grantees and their contributions to the ORKG, as well as a link to their final presenation about their best comparison as an ORKG Curation Grantee.
Azanzi Jiomekong
Comparisons
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Global description of food information engineering reviews papers
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Comparison of topics investigated in the paper: "A Survey on Food Computing"
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Comparison of several AI models for ingredients substitutions by considering different dimensions
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Ablation study of GISMo (Graph-based Ingredient Substitution Module) on ingredient substitution
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Ablation (on input features) of AI systems for ingredient substitution
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Comparison of AI models used for recipe generating from food images
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Comparison of the effect of ingredient substitutions on the quality of the generated recipes
Reviews
Bharatesh Chakravarthi
Comparisons
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Pedestrian datasets for vision based detection and tracking tasks
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A comparison of state-of-the-art approaches to Sign Language recognition
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Fusion-Based Detection of Stationary On-Road and Off-Road Objects for Autonomous Vehicle Guidance
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Comparing the multi-perspective categorization of diffusion models in computer vision
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Comparison of sign language recognition systems using the Leap Motion Controller
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Comparison of vision-based camera for sign language recognition
Ivo Berbić
Comparisons
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Review: Monitoring fishing activities using machine learning techniques based on AIS data
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Review: Detection of falsified and fabricated AIS data in monitoring of water transport
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Review: Ship collision risk assessment using machine learning methods based on AIS data
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Comparison of the use of AIS data in the processing of ship trajectories using machine learning
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Overview of ship classifications based on AIS data using machine learning methods
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Overview of clustering ship trajectories based on AIS data using machine learning methods
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Review: Ship trajectory prediction based on AIS data using machine learning methods
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Overview of AIS data mining in water transport using machine learning
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Review: Interpolation of missing AIS data in water transport using machine learning
Jadran Berbić
Comparisons
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Review of application of machine learning models for long term prediction of streamflow
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Review of application of machine learning models for prediction of sea levels
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Comparison of methods for frequency analysis of high water events
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Comparison of methods for development of rainfall intensity-duration-frequency curves
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Comparison of methods used to analyze efficiency of LID (low impact development) practices
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Overview of methods applied in creation of rainfall intensity-duration-frequency curves
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Overview of rainfall data as an input for models applied for evaluation of LID efficiency
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Overview of procedures applied in machine learning models for sea levels prediction
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Overview of procedures applied in machine learning models for long term prediction of streamflows
Reviews
Milica Vukelić
Patience Usoro Usip
Comparisons
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Comparison on Representation and Reasoning for Semantic Knowledge Retrieval in Agriculture
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Comparison on Representations for Multilingual machine translation
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Comparison on Representing Semantic Similarities of Heterogenous Data
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Comparison on Knowledge Representation and Reasoning for Cancer Diagnosis
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Comparison on NLP-based Representations for Semantic Textual Similarity Models
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Comparison on Representations for Medical Information Processing
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NLP and Knowledge Graph Representations and Reasoning for Question Answering Modeling
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Representation and Reasoning for Medical Image Processing and Analysis
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NLP-based Representations of Sentiment Analysis for African Languages
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Representations for Irrigation and Erosion Control in Farmaing
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Representations and Reasoning with Multilingual Knowledge about Critical Medical Conditions
Prateek Tripathi
Comparisons
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Estimation of crop and vegetation chlorophyll content using Remote Sensing Methods
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Efficiency of Landsat mutispectral data in crop type mapping
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Utilizing Multispectral and Hyperspectral Satellite Imagery for Crop Disease Detection
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Crop mapping and field area estimation from Multispectral Satellite Remote Sensing data
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Multi-Sensor Time-Series Multispectral Remote Sensing Data for Crop Management
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Potential of Sentinel (1 and 2) satellite data in Crop classification
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Assessing and Cultivating Crop Health through Multispectral Remote Sensing
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Advancing Agricultural Insights through NDVI Time-Series Analysis in India
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Integrative Remote Sensing Solutions for Crop Monitoring and Phenology Assessment using NDVI
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Application of Landsat 8 in Crop Classification and Crop monitoring: An NDVI application
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Crop Monitoring using Landsat 8 multispectral satellite data
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Application of vegetation indices from Landsat 8 satellite data in Agricultural monitoring
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Sentinel-1 and Setninel-2 satellite datasets for Crop Classification and Monitoring
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Sentinel-2 Data Analysis for Enhanced Crop Classification and Monitoring
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Multi-Source Crop Yield Estimation and Classification using Sentinel-2 NDVI
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Advanced Image Classification methods for Crop classification for Sentinel and Landsat datasets
Reviews
Sanju Tiwari
Comparisons
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Comparison of representative demonstration designing methods of Language Models
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Comparison of KG-enhanced LLM methods for the pre-training of KG-enhanced LLM
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Comparison of Knowledge Graph enhanced Large Language Models for inferencing
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Comparison on Large Language Model augmented Knowledge Graph Query Answering
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Large Language Model augmented Knowledge Graph to Text Generation
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Exploring Interpretability of Knowledge Graph-enhanced Large Language Models
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Large Language Model-based Knowledge Graph construction methods comparison
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Exploring Large Language Models augmented Knowledge Graph Completion Methods
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Exploring Large Language Models (LLMs) to address mathematical problems
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Exploring the roles of Large Language Models in Medical Assistance
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Comparison of Exploring Evaluation Benchmarks for Large Language Models
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Exploring LLMs as Enhancer to assist graph-related tasks in literature
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Exploring the role of ontologies in Manufacturing and Industry 4.0
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Exploring Semantic Interoperability with IoT based Knowledge Graphs in Industry 4.0
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Comparison of Survey papers on Semantic IoT to expose the role of Semantic Interoperability
Reviews
Tetiana Shestakevych
Comparisons
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Information and communication technologies (ICT) in communication of hearing-impaired personsfalse
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Information and communication technologies (ICT) in the education of deaf persons: what else
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Improving the qualifications of employees working with students with special needs
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Analysis of the main characteristics of an educational project peculiarities
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Challenges of online learning for deaf and hearing‑impaired students
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Investigating application of Web Content Accessibility Guidelines for higher institutions websites
Reviews