Explore the CGC Aarhus University International Summer Internship Program in Denmark focusing on business modelling and innovation. The program offers a comprehensive learning experience for graduate and postgraduate students, including online sessions and weeks in Denmark. Discover the significance

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This study examines the tradeoffs between water savings, economic impact, and greenhouse gas emissions resulting from technological changes in the irrigation industry. Key objectives include estimating water savings for different crops, quantifying GHG emissions from new irrigation technologies, and

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Explore a research study on modelling estuarine habitats in the Upper Sea Scheldt under various human-induced channel and floodplain adaptations. The study examines the impact of interventions on habitat size, water quality, ecosystem, and more, providing insights into the future of the estuarine en

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Threat modelling should commence at the early stage of the software development life cycle to identify potential security risks and vulnerabilities effectively. It should ideally begin during the requirement analysis and continue throughout development, testing, and maintenance phases to ensure robu

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This content discusses the CGRA-ME framework for modelling and exploration of Coarse-Grained Reconfigurable Arrays (CGRA). It covers the objectives, architecture description, inputs required, and tools included in the framework. CGRA-ME allows architects to model different CGRA architectures, map ap

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Explore the latest innovations in simple multigraph convolution networks presented by Xinjie Shen from South China University of Technology. The research evaluates existing methods, such as PGCN, MGCN, and MIMO-GCN, and introduces novel techniques for building credible graphs through subgraph-level

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Our project focuses on enhancing the efficiency of 2D convolutions by implementing parallelization with GPUs. We delve into the significance of convolutions, strategies for parallelization, challenges faced, and the outcomes achieved. Through comparing direct convolution to Fast Fourier Transform (F

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EUROfusion's WPSA Code Management and Modelling activities for 2021-2022 focus on developing operation-oriented tools and synthetic diagnostics for JT-60SA scientific exploitation. The tasks include discharge simulator development, breakdown simulator optimization, Energetic Particle stability analy

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Enterprise and system models play a crucial role in the business world. This collection of images showcases various aspects of conceptual and requirement modelling using Unified Modelling Language (UML). From business process models to human interactions with software systems, these visual represent

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This content delves into Digital Signal Processing concepts taught in the 4th class of 2020-2021 by Dr. Abbas Hussien and Dr. Ammar Ghalib. It covers topics like Table Lookup Method, Linear Convolution, Circular Convolution, practical examples, and Deconvolution techniques such as Polynomial Approac

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SCRUM2 project aims to enhance CMEMS through regional/coastal ocean-biogeochemical uncertainty modelling, ensemble consistency verification, probabilistic forecasting, and data assimilation. The research team plans to contribute significant advancements in ensemble techniques and reliability assessm

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Discussion at the Climate Modelling User Group meeting highlighted the use of Ocean ECVs, with a focus on organic carbon production and model comparisons. Key topics included increasing resolution, biogeochemistry predictions, and validation using OC CCI data. Various WP projects were also discussed

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Addressing difficulties in experimental design such as baseline correction, temporally overlapping neural responses, and systematic differences in response timings using a convolution GLM, similar to first-level fMRI analysis. The course focuses on the stop-signal task, EEG correlates of stopping a

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N-gram models play a crucial role in language modelling by predicting the next word in a sequence based on the probability of previous words. This technology is used in various applications such as word prediction, speech recognition, and spelling correction. By analyzing history and probabilities,

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In this workshop session by David Rogerson, an ITU expert, participants learn the key habits of successful cost modelling in the telecom industry. The session covers identifying, illustrating, remembering, and implementing these habits for effective regulatory cost-modelling practices, with a focus

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The content provides a detailed guide on accessing and utilizing CBA Results Files, including tips on reading the CBA Methodology and understanding various indicators and economic templates. It also highlights the importance of analyzing disrupted rates, quantities, flexibility, and other key compon

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Cutting-edge research on convolution denoising methods for Seebeck calorimeters to reduce noise levels caused by temperature fluctuations. The study explores hardware design, mathematical principles, and examples of denoising applications, aiming to enhance measurement accuracy and stability in larg

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The Climate Modelling User Group (CMUG) discussion session aims to foster collaboration among members, welcome new participants, identify common research questions and challenges, and establish long-term interaction mechanisms. The session includes presentations on ECV consistency and planetary visi

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Modelling and multi-objective optimization of quality attributes in variability-rich software is crucial for customizing software functionality to meet stakeholders' diverse needs. This involves addressing conflicting quality requirements such as cost, reliability, performance, and binary footprint

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Explore advanced techniques in dimensional modelling such as handling rapidly changing dimensions, snowflaking dimensions, and dealing with very large dimensions. Learn about different types of dimension structures, fact tables, and their combinations to optimize data storage and retrieval efficient

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Cross-classified models in multilevel modelling involve non-hierarchical data structures where entities are classified within multiple categories. These models extend traditional nested multilevel models by accounting for complex relationships among data levels. Professor William Browne from the Uni

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Today's presentation will delve into the comparison between RNNs and CNNs for various tasks, discuss a state-of-the-art approach for Sequence Modelling, and explore augmented RNN models. The discussion will include empirical evaluations, baseline model choices for tasks like text classification and

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In this lecture, the focus is on modelling workflows and data domain in the context of system requirements and user experience. The topics covered include recap of use cases, use case diagrams, descriptions, events initiated by stakeholders, defining elements for each use case, use case diagrams, an

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Explore the significance of modelling knowledge through knowledge representation, making it explicit, independent, and reusable. Learn why knowledge representation is essential and how it facilitates exchange, query, inference, and visualization. Delve into examples of knowledge application in vario

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Explore the use of scientific modelling in atomic theory through a learning journey covering topics like the atom, hazards, risks, and atomic structure. Engage in a True or False task to test your knowledge and delve into a video timeline on the discovery of silver and gold elements.

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Explore the capabilities of COMPLEX-IT, a web-based software tool designed to enhance researchers' access to computational social science tools. It offers a compact platform integrating case-based modelling, artificial intelligence, scenario analysis, and more. With an intuitive interface and quick

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In June 2017, a Summer School on Modelling Tools for Sustainable Development was organized at ICTP, Trieste. The sessions covered topics like representation of water supply and demand, incorporation of land use in modelling, energy system diagrams, and structures of energy and water systems models.

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Energy systems modelling with OSeMOSYS involves linear programming to determine the optimal energy system configuration. The tool considers factors like demand, available technologies, emissions, and constraints to minimize costs over decades. Linear programming, developed during World War II, plays

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Dr. Curtis Smith from Idaho National Laboratory presented a benchmark on External Events Hazard Frequency and Magnitude Statistical Modelling. The background involves the Working Group on External Hazards (WGEV) addressing the challenges in formulating and assessing external event initiating events

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This project focuses on creating a transparent and integrated modelling platform for assessing low-carbon transition pathways in Europe. Key components include a common data format, a common nomenclature, and model integration via a central data hub. The aim is to facilitate understanding of the ene

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Explore the process of creating decision tables in logic modelling to make rule-based decisions. Understand the conditions, actions, and resulting rules through practical examples involving scenarios like campus burglar alarms and customer mailings. Simplify complex decision-making logic for efficie

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This discussion delves into the comparison between Entity-Relationship (EER) and Unified Modeling Language (UML) architectures for the modelling of Management Information Systems (MIS). It explores the differences in notation, methodological considerations, specialisation hierarchies, and categorisa

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This content delves into graph-based knowledge representation in modelling, detailing concepts such as recipe-ingredient relationships, formalisms for generalizing graph representation, and conceptual graphs by John F. Sowa. It explores how different interpretations describe the association between

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Explore the concept of Toeplitz Matrix 1x1 Convolution in deep learning for processing arbitrary-sized images. Discover how this technique enables running ConvNets on images of various dimensions efficiently, making use of matrix multiplication with Toeplitz matrices to achieve convolution. Dive int

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Chemical speciation modelling in seawater is advancing to meet the needs of the marine science community in the 21st century. The vision is to provide free access to user-friendly software for calculations with uncertainty estimates. This involves communication with the community, code development,

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In project management, precise project definition is crucial for successful planning and control. Project modelling involves utilizing tools like Work Breakdown Structure (WBS) to efficiently define project scopes and hierarchies. By breaking down the project into smaller elements of work, WBS aids

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Explore the concept of intermediate stops in transportation modelling, including the development of a new tour-based model in Charlotte. Learn about the challenges faced in modelling stops and the estimation process using the Logit model. Discover how tour frequency, main destination choice, number

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Explore the world of Modelling Weeks where small teams of students work on real-life problems under experienced instructors. Benefits include networking, teamwork, presenting results, and preparing scientific documents. Organize your own Modelling Week with support from MI-NET, focusing on PhD stude

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Heightened complexity in decision-making, global vs. national policy alignment, and sustainable development models are key aspects of addressing the challenges in meeting the 2030 Agenda. Integrated assessment modelling, food-energy-water nexus, and the CLEWS framework play vital roles in guiding po

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Conducting an assessment to update the existing report on project deliverable documents, including product validation, inter-comparison reports, and error characterization. Providing feedback to ESA and CCI teams on the quality, uncertainty, and maturity of the product documentation related to vario

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