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检索条件"任意字段=22nd International Conference on Logic Programming"

共 2138 条记录，以下是171-180 订阅

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22nd international Symposium for Production Research, ISPR 2022

22nd International Symposium for Production Research, ISPR 2...

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22nd international Symposium for Production Research, ISPR 2022

ISBN: (纸本)9783031244568

The proceedings contain 68 papers. The special focus in this conference is on Production Research. The topics include: Ground Target Tracking UAV;investigation of the Adhesive Coating with the Base of the Sleeve During Centrifugal Induction Sintering;real Time Vibration Measurement for Compact Disc Harrow;reference Sample for Porosity Evaluation by Non – Destructive Method – Industrial Computed Tomography;research on Mechanical Characteristics of Parts Made of 316L Stainless Steel (Material) by Using Selective Laser Melting Technology;strategic Demand Forecasting with Machine Learning Algorithms in a Dyeing Company;development and Calculation of the Reliability of a 3D Printer;quality Control Automation System for Furniture Connecting Fittings to Achieve Zero Defect;project of a Robotic Workplace Using Modern Tools;machine Learning Based Approaches for Short Term Sales Forecasting in E-Commerce;education 5.0: The Effectiveness of Game Based Learning Strategies on Post-pandemic Educational Competences;implementation of the Asset Administration Shell Concept to Industrial Augmented Reality Applications;optimising Human Potential Through Diversity and Inclusion for Industry/Production 4.0, 5.0 and 6.0;Proposal of Digital Maturity Model in Healthcare Sector: BWM, CODAS, and MABAC Approaches;the Use of Digital Humans for Car Ergonomics as a Virtual Modeling;New Technology Compensation of Restriction Noise at the Analog-to-Digital Conversion of the TV Broadcasting Luminance Signal;Research of the Performance Multiservice Telecommunication Networks Based on the Architectural Concept NGN and FN;a Constraint programming Model for the Open Vehicle Routing Problem with Heterogeneous Vehicle Fleet;a Customized Web-Based Training Platform for Industry 4.0.

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Discovering Biochemical Reaction Models by Evolving Libraries 22nd

Discovering Biochemical Reaction Models by Evolving Librarie...

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22nd international conference on Computational Methods in Systems Biology (CMSB)

作者： Kreikemeyer, Justin N. Burrage, Kevin Uhrmacher, Adelinde M. Univ Rostock Rostock Germany Queensland Univ Technol QUT Brisbane Qld Australia Univ Oxford Dept Comp Sci Oxford England

ISBN: (纸本)9783031716706;9783031716713

In a time of data abundance, automatic methods increasingly support manual modeling. To this end, the Sparse Identification of Non-linear Dynamics (SIndy) provides a solid foundation for identifying non-linear dynamical systems in the form of differential equations. In biochemistry, reaction networks imply coupled differential equations. It has recently been demonstrated how this intrinsic coupling can be achieved within the SIndy framework, providing a straightforward interpretation of the learned equations as reaction systems with mass-action kinetics. However, this extension inherits from SIndy the requirement to enumerate all candidate reactions in a library, resulting in ill-posed optimization problems and long model descriptions, limiting its utility for identifying models with many species. Here, we elaborate on the recent advances in bringing SIndy to the biochemical domain by considering the subsampling of reaction libraries as part of an evolutionary optimization scheme. This enables the generation of parsimonious models, as well as the inclusion of model-level constraints, and allows the consideration of large numbers of candidate reactions. We evaluate the approach on two smaller case studies and the recovery of a large Wnt signaling model.

关键词： sparse regression genetic programming automatic model generation machine learning reaction systems

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FLAG: Stock Movement Prediction via Fusing logic and Semantic Graphs of Financial News 22

FLAG: Stock Movement Prediction via Fusing Logic and Semanti...

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22nd IEEE international conference on Data Mining (ICDM)

作者： Li, Angela Liu, Jiduan Li, Yuyong Meng, Fan Peking Univ Dept Informat Management Beijing Peoples R China Peking Univ Wangxuan Inst Comp Technol Beijing Peoples R China Peking Univ Ctr Data Sci AAIS Beijing Peoples R China

ISBN: (纸本)9798350346091

Financial news is widely used in stock movement prediction, and the critical point is to extract valuable information from news. Some previous works utilize graph-based approaches to represent news in a topological structure and construct relationships between nodes by semantic similarity. However, most of these models ignore depicting contextual information and logical structures in the news. In this work, we propose FLAG (Network with Fusion of logic and semAntic Graphs), a novel model that captures both the logical structure and the latent semantic connection in the news for stock movement prediction. In FLAG, we construct two graphs for each news item, a logical graph based on continuation and coordination relations and a semantic graph based on semantic encoding. Then, we fuse the two graphs to represent news. Moreover, we combine news representations with global market information and historical prices for final prediction. FLAG achieves the state-of-the-art accuracy on the dataset we collected.

关键词： stock movement prediction graph neural network logic graph semantic graph

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Introducing programming Concepts through Interactive Online Workshops 21

Introducing Programming Concepts through Interactive Online ...

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22nd ACM Annual conference on Information Technology Education, SIGITE 2021

作者： Mosquera Reina, Valentina Cunico, Ryan Williams, Josiah Bauer, Matthew Doloc-Mihu, Anca Robertson, Cindy Georgia Gwinnett College LawrencevilleGA United States

ISBN: (纸本)9781450383554

Students from the Technology Ambassadors Program (TAP) at Georgia Gwinnett College introduce basic programming concepts to online workshop participants by demonstrating and creating an interactive racing game using the Scratch programming language. The workshop encourages interest in the STEM fields, while teaching basic programming skills to control the game's logic. Our study results showed that our workshops were successful and engaging. © 2021 Owner/Author.

关键词： Students

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Representation of Expert Knowledge on Product Design Problems Using Fuzzy Cognitive Maps 16th

Representation of Expert Knowledge on Product Design Problem...

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22nd Mexican international conference on Artificial Intelligence (MICAI)

作者： Rodriguez-Martinez, Hector-Heriberto Mejia-de Dios, Jesus-Adolfo Garcia-Calvillo, Irma-Delia Univ Autonoma Coahuila Ctr Invest Matemat Aplicadas Saltillo 25280 Coahuila Mexico

ISBN: (纸本)9783031519390;9783031519406

An increasing number of companies are seeking to integrate design as a strategic capability to address contemporary business and societal challenges. However, effectively integrating design into an organization poses challenges due to the limited understanding of how to manage this process and assess its impact. This study explores a model based on fuzzy cognitive maps for measuring the impact of design within projects at an organizational level. This model establishes causal relationships among four key layers: design decisions, design metrics, business metrics, and product lifecycle. These layers encompass underlying concepts that can be represented using fuzzy variables, enabling the modeling of a complex system as a Fuzzy Cognitive Map (FCM) in order to visually represent expert knowledge. This approach facilitates the visualization and examination of potential scenarios within the organizational context. The proposed model provides an alternative or complement to existing methods for measuring the impact of design on projects within an organization. To illustrate this, a real-world problem is presented by describing the application of an FCM to evaluate the workflow of a specific operation known as "Digital CVV on-off" feature.

关键词： Fuzzy logic Fuzzy Cognitive Maps Product Design

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The urdflib Library for MicroPython: Manipulating RDF on Constrained Devices 22

The urdflib Library for MicroPython: Manipulating RDF on Con...

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22nd international Semantic Web conference on Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice, ISWC-Posters-Demos-Industry 2023

作者： Hadavi, Mohsen Lefrançois, Maxime Mines Saint-Étienne Saint-Étienne42023 France Mines Saint-Étienne Univ Clermont Auvergne INP Clermont Auvergne CNRS UMR 6158 LIMOS Saint-ÉtienneF - 42023 France

This demonstration paper introduces the urdflib library for MicroPython, which facilitates the development of RDF manipulation programs for embedded devices that run MicroPython, and additionally ensures the API is compatible with the widely used RDFLib Python library. The library is openly available on GitHub, a demo is presented, and the performances of the library are evaluated on the Unix and the ESP32 ports of MicroPython. urdflib performs better than RDFLib on the Unix port. © 2023 Copyright for this paper by its authors.

关键词： Application programming interfaces (API)

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Neural Architecture Search for Placenta Segmentation in 2D Ultrasound Images 16th

Neural Architecture Search for Placenta Segmentation in 2D U...

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22nd Mexican international conference on Artificial Intelligence (MICAI)

作者： Antonio Fuentes-Tomas, Jose Gabriel Acosta-Mesa, Hector Mezura-Montes, Efren Hernandez Jimenez, Rodolfo Univ Veracruz Artificial Intelligence Res Inst Xalapa 91097 Veracruz Mexico

ISBN: (纸本)9783031519390;9783031519406

Monitoring the placenta during pregnancy can lead to early diagnosis of anomalies by observing their characteristics, such as size, shape, and location. Ultrasound is a popular medical imaging technique used in placenta monitoring, whose advantages include the non-invasive feature, price, and accessibility. However, images from this domain are characterized by their noise. A segmentation system is required to recognize placenta features. U-Net architecture is a convolutional neural network that has become popular in the literature for medical image segmentation tasks. However, this type is a general-purpose network that requires great expertise to design andmay only be applicable in some domains. The evolutionary computation overcomes this limitation, leading to the automatic design of convolutional neural networks. This work proposes a UNet-based neural architecture search algorithm to construct convolutional neural networks applied in the placenta segmentation on 2D ultrasound images. The results show that the proposed algorithm allows a decrease in the number of parameters of U-Net, ranging from 80 to 98%. Moreover, the segmentation performance achieves a competitive level compared to U-Net, with a difference of 0.012 units in the Dice index.

关键词： Neural Architecture Search Genetic programming U-Net Placenta Segmentation

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Parallel implementation of a Particle-in-Cell code in Julia programming language 22

Parallel implementation of a Particle-in-Cell code in Julia ...

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22nd international conference Computational Problems of Electrical Engineering (CPEE)

作者： Lodyga, Wiktor Chaber, Bartosz Warsaw Univ Technol Warsaw Poland

ISBN: (纸本)9781728184302

An original GPU implementation of a Particle-in-Cell code has been presented. Performance has been measured for a simple 1D problem of two collisionless, counter-propagating streams of charged particles. The aim of this paper is to assess the scalability of two codes: one computing solely on a CPU and a multithreaded code running the most computation-intensive tasks on a GPU. Both codes are implemented in the same programming language (Julia) solving the two-language problem.

关键词： CUDA parallel computing Particle-in-Cell

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Attention! Dynamic Epistemic logic Models of (In)attentive Agents 22

Attention! Dynamic Epistemic Logic Models of (In)attentive A...

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22nd international conference on Autonomous Agents and Multiagent Systems, AAMAS 2023

作者： Belardinelli, Gaia Bolander, Thomas University of Copenhagen Copenhagen Denmark Technical University of Denmark Kgs. Lyngby Denmark

Attention is the crucial cognitive ability that limits and selects what information we observe. Previous work by Bolander et al. (2016) proposes a model of attention based on dynamic epistemic logic (DEL) where agents are either fully attentive or not attentive at all. While introducing the realistic feature that inattentive agents believe nothing happens, the model does not represent the most essential aspect of attention: its selectivity. Here, we propose a generalization that allows for paying attention to subsets of atomic formulas. We introduce the corresponding logic for propositional attention, and show its axiomatization to be sound and complete. We then extend the framework to account for inattentive agents that, instead of assuming nothing happens, may default to a specific truth-value of what they failed to attend to (a sort of prior concerning the unattended atoms). This feature allows for a more cognitively plausible representation of the inattentional blindness phenomenon, where agents end up with false beliefs due to their failure to attend to conspicuous but unexpected events. Both versions of the model define attention-based learning through appropriate DEL event models based on a few and clear edge principles. While the size of such event models grow exponentially both with the number of agents and the number of atoms, we introduce a new logical language for describing event models syntactically and show that using this language our event models can be represented linearly in the number of agents and atoms. Furthermore, representing our event models using this language is achieved by a straightforward formalisation of the aforementioned edge principles. © 2023 international Foundation for Autonomous Agents and Multiagent Systems (***). All rights reserved.

关键词： Atoms

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Alice Adventures in ComputingLand: A review 22

Alice Adventures in ComputingLand: A review

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22nd international Arab conference on Information Technology (ACIT)

作者： Al-Tahat, Khalid Arab Open Univ Fac Comp Studies Amman Jordan

ISBN: (纸本)9781665419956

Computer programming is often presented to students as an abstract discipline that looks aseptic and ultimately boring to many learners;learners find their first computing course uninspiring and programming hard and socially isolating. This causes a decline in the interest in computing among learners. Although there have been many attempts to make computing appealing, more interesting, easier and enjoyable, many educators are still using the classic methods in teaching and learning computer programming. The aim of this work is to call the attention of computing educators to an approach that uses 3D virtual environments to teaching programming. We introduce this approach through a tool that offers innovative methods for teaching wide spectrum of computing topics;Alice. Alice is an innovative programming environment that can be used to create stories by animating characters in a 3D world. Alice is written in Java and has an object-oriented flavor. The paper presents a review of research on using Alice in motivating teaching programming and problem solving, algorithmic thinking, software modeling, and game design and implementation. New trends of using Alice in teaching computing are also suggested.

关键词： Alice computing education programming environments teaching programming algorithmic thinking software modeling game programming

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