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检索条件"任意字段=7th International Conference on Functional Programming"

共 3592 条记录，以下是41-50 订阅

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Development of an Automation Module for Planning Trajectories for Painting Aircraft Fuselage Elements 1

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7th international Russian Automation conference, RusAutoCon 2024

作者： Voroshchenko, V.D. Gorkavyy, M.A. Gudim, A.S. Komsomolsk-Na-Amure State University 27 Lenina St Komsomolsk-On-Amure681013 Russia

ISBN: (数字)9783031824944

ISBN: (纸本)9783031824937

the article is devoted to the development of a module for automating the planning of trajectories for painting aircraft fuselage elements. the scientific problem of the lack of modern control methods and technologies at aviation assembly plants, namely, in robotic areas for painting parts, is posed. And the applied problem of the inappropriate use of robotic painting due to lengthy readjustment due to the lack of automated adjustment of the robot’s control program is posed. the stages of development and implementation of module calculations are presented: the stage of processing a 3D model of a part to identify key vertices, generating points for the painting trajectory of one face, generating a complex of painting trajectories for the entire part, corrective transformation of the trajectory into the coordinate system of the central point of the robot manipulator tool. Based on the obtained trajectory, an automated synthesis of the robot's control program was implemented. the use of a control program was demonstrated and conclusions were drawn about the performance of the painting path planning module: it was empirically established that the robot performs the path according to the requirements. In the future, the module will be integrated into a hardware and software complex for managing and correcting control programs for painting aircraft parts. the use of a software and hardware complex will allow for robotic painting, improve the quality of the applied paint layer, reduce the production time of products and the paint consumption, and this will reduce the cost of products. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Robot programming

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7th international conference on Optimization and Learning, OLA 2024

7th International Conference on Optimization and Learning, O...

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7th international conference on Optimization and Learning, OLA 2024

ISBN: (纸本)9783031779404

the proceedings contain 23 papers. the special focus in this conference is on Optimization and Learning. the topics include: HOTS: A Containers Resource Allocation Hybrid Method Using Machine Learning and Optimization;optimisation-Based Classification Tree: A Game theoretic Approach to Group Fairness;jaxDecompiler: Redefining Gradient-Informed Software Design;adapted Q-Learning for the Blocking Job Shop Scheduling Problem;NeuroLGP-SM: A Surrogate-Assisted Neuroevolution Approach Using Linear Genetic programming;Neural Architecture Tuning: A BO-Powered NAS Tool;a Multi-objective Clustering Algorithm Integrating Intra-Clustering and Inter-Clustering Measures;a Bayesian Optimization Approach to Algorithm Parameter Tuning in Constrained Multiobjective Optimization;evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning;a Benchmark for Missing Data Imputation Techniques: Development Perspectives and Performance Comparative;approaching Single-Episode Survival Reinforcement Learning with Safety-threshold Q-Learning;feature Selection Based on Membrane Clustering;learning Insertion Patterns to Enhance Operational Efficiency in Large-Scale Dial-a-Ride Systems;a Constraint programming Approach for the Preference Tourist Trip Design Problem;Solving a Shareable-Setup Time Prize Collection VRP Applied to an Electrical Maintenance Sector;biologically-Inspired Algorithms for Adaptive Non-Player Character Behavior in Video Games;Optimization of Hydro Generation and Load Forecasting Based On LSTNet;patient Visits Forecasting in the Post-pandemic Era at Emergency Departments;nature-Inspired Techniques for Combinatorial Reverse Auctions in Electricity Consumption;robust Models for Learning Languages;advancing Road Safety Metrics: Exploring Index Construction.

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7th international Symposium on functional and Logic programming, FLOPS 2004

7th International Symposium on Functional and Logic Programm...

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7th international Symposium on functional and Logic programming, FLOPS 2004

ISBN: (纸本)354021402X

the proceedings contain 21 papers. the special focus in this conference is on Logic, functional-Logic programming, Applications, Program Analysis, Rewriting and Semantics. the topics include: A brief survey of quantum programming languages;analysis of synchronous and asynchronous cellular automata using abstraction by temporal logic;online justification for tabled logic programs;a declarative debugging tool for functional logic languages;an effective self-applicable partial evaluator for prolog;multivariant non failure analysis via standard abstract interpretation;implementing natural rewriting and narrowing efficiently;complete axiomatization of an algebraic construction of graphs;semantics of linear continuation-passing in call-by-name;basic pattern matching calculi and derivation of deterministic inverse programs based on LR parsing.

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Analyzing the Impact of Uncertain Parameters in Reverse Supply Chain Network Using Fuzzy Alpha-Cut Approach

Analyzing the Impact of Uncertain Parameters in Reverse Supp...

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international Youth conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Mahmoud Elashwah N. Afia W. Abbas T. Ismail Basic and Applied Sciences department Faculty of Engineering and Technology Arab Academy for Science Technology and Maritime Transport Design and Production Engineering department Ain Shams University

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

Optimizing reverse supply chains (RSC) design is crucial for sustainability, impacting the collection and processing of used products. this study introduces a fuzzy mixed-integer linear programming (FMILP) model employing the fuzzy alpha-cut method to determine optimal locations for collection points under uncertainty. the model considers uncertainty in the quantity of used products at customer locations and the selling prices at collection points and retailers. Six scenarios were analyzed, covering individual and combined uncertainties. Each scenario utilized triangular fuzzy numbers with alpha-cuts to assess robustness at medium (a=0.5) and high ( $a=1$ ) confidence levels, providing upper and lower bounds of uncertainty. Results indicate that combined uncertainties significantly affect RSC performance compared to individual uncertainties. A comparison with exact solutions highlights the influence of uncertainty parameters on decision-making in reverse supply chains.

关键词： Adaptation models Uncertainty Costs Profitability Supply chains Stochastic processes programming Robustness Mixed integer linear programming Sustainable development

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An Evolutionary Metagraph Approach for Solving Problems in Complex Subject Areas

An Evolutionary Metagraph Approach for Solving Problems in C...

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international Youth conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Anatoly N. Nardid Stepan S. Vinnikov Alexey V. Orazov Yuriy E. Gapanyuk Information Processing and Management Systems Department Bauman Moscow State Technical University Moscow Russian Federation

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

this paper explores the integration of metagraphs with genetic programming (GP), offering a novel perspective aimed at overcoming the limitations of traditional graph-based approaches. Metagraphs, providing an advanced abstraction over standard graphs, are examined for their potential to more efficiently encapsulate complex relationships and hierarchical structures. the focus is on how metagraphs can contribute to evolutionary algorithms by enriching the representation of problem spaces, potentially leading to improved adaptability and precision in solutions. We discuss the initial theoretical insights and potential benefits of this integration, positioning metagraphs as a promising tool for enhancing the effectiveness of evolutionary strategies. this exploration is intended to pave new research pathways in GP, proposing that metagraphs hold the potential to significantly augment the outcomes of evolutionary processes.

关键词： Power engineering Directed acyclic graph Genetic programming Evolutionary computation Benchmark testing Reproducibility of results Complexity theory Standards

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7th international conference on Applied Informatics, ICAI 2024

7th International Conference on Applied Informatics, ICAI 20...

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7th international conference on Applied Informatics, ICAI 2024

the proceedings contain 39 papers. the special focus in this conference is on Applied Informatics. the topics include: Automatic Identification of Forest Areas in the "Carolina" Park Using Res...

ISBN: (纸本)9783031751462

the proceedings contain 39 papers. the special focus in this conference is on Applied Informatics. the topics include: Automatic Identification of Forest Areas in the "Carolina" Park Using ResNet50, EfficientNetB0 and VGG16: A Case Study;deep Convolutional Neural Network for Autonomic Function Estimation in Intensive Care Patients;deep Learning Techniques for Oral Cancer Detection: Enhancing Clinical Diagnosis by ResNet and DenseNet Performance;machine Learning Operations Applied to Development and Model Provisioning;MultiMF: A Deep Multimodal Academic Resources Recommendation System;netScribed: A Deep Learning Approach for Machine-Based Melody Transcription of Audio Files;Safeguarding Patient Data: Advanced Security in Wireless Body Area Networks and AI-Driven Healthcare Systems;YOLO Convolutional Neural Network for Building Damage Detection in Hydrometeorological Disasters Using Satellite Imagery;extraction and Selection of Multi-omic Features for the Breast Cancer Survival Prediction;migration from On-Premises to Cloud: Challenges and Opportunities;improvement of Acute and Chronic Nutritional Status by Supplying a Metabolic Biostimulator to Children in High Risk of Malnutrition. Introducing a Technological Platform to Enable Automatic Analyses and Reporting;relationship between Demographic, Geographical and Access to Health Services Factors;RGB Image Reconstruction for Precision Agriculture: A Systematic Literature Review;Developing AI-Driven Cross-Platform Geolocation for Enhanced Strategic Decision-Making;from Data to Decisions: Performance Evaluation of Retail Recommender Systems;Optimizing Fraud Detection in Traffic Accident Insurance Claims through AI Models: Strategies and Challenges;Code Legends: RPG Game as a Support Tool for programming in High School;development of Mental Agility Mini-games in a Video Game for Early Detection of Mild Cognitive Impairment: An Innovative Approach in Mental Health.

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7th international conference on Applied Informatics, ICAI 2024

7th International Conference on Applied Informatics, ICAI 20...

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7th international conference on Applied Informatics, ICAI 2024

the proceedings contain 39 papers. the special focus in this conference is on Applied Informatics. the topics include: Automatic Identification of Forest Areas in the "Carolina" Park Using Res...

ISBN: (纸本)9783031751431

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Implementation of the ISP (In System programming) Method for Data Recovery on Mobile Devices 7th

Implementation of the ISP (In System Programming) Method for...

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7th international conference on Applied Informatics, ICAI 2024

作者： Haz, Lidice Garzón Balcazar, Jenny Orozco Iguasnia, Jaime Sánchez, Carlos Peninsula of Santa Elena University State Av. La Libertad La Libertad Santa Elena240102 Ecuador University Ecotec Av. Juan Tanca Marengo Km. 2 Guayaquil Ecuador

ISBN: (纸本)9783031751462

At present, most information is stored on mobile devices such as smartphones, whether for personal or business use. this promotes the availability and access to said data at any time. However, users may be victims of data loss due to physical or logical damage to mobile devices, requiring an advanced procedure for recovery. this work proposes a general recovery process based on the DoJ2 forensic analysis methodology. To achieve this objective, the eMMC memory is extracted from the mobile device by applying the ISP (In-system programming) or chip-off method depending on the level of criticality. the results showed high effectiveness with the ISP method, reaching 100% data recovery when the equipment is blocked. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： chip-off method data recovery digital forensic analysis eMMC ISP method smartphone

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functional Imaging and Modeling of the Heart - 7th international conference, FIMH 2013, Proceedings

Functional Imaging and Modeling of the Heart - 7th Internati...

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7th international conference on functional Imaging and Modeling of the Heart, FIMH 2013

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Effect of Early Intervention on Students in a CS1 programming Course 7th

Effect of Early Intervention on Students in a CS1 Progra...

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7th international conference on Applied Informatics, ICAI 2024

作者： Llanos-Mosquera, Jose Miguel Quimbayo-Castro, Julian Andres Garcia-Perdomo, Edisney Alarcon-Lopez, Alvaro Hernan Faculty of Engineering Corporación Universitaria del Huila - CORHUILA Neiva Colombia

ISBN: (纸本)9783031751462

CS1 programming courses often exhibit low academic performance. One way to address this issue is by implementing early interventions for students. In higher education, various theories have contributed to the topic of intervention, one of which is Vygotsky’s zone of proximal development. However, there is no consensus in the results, and more studies are needed to evaluate early interventions in CS1 courses. the objective of this research is to examine the effect of an early intervention on students’ academic performance in a CS1 course. the study involved 49 students from a Logic programming course, with 24 in the experimental group and 25 in the control group. Two stages of the zone of proximal development were used, including group tutoring and the development of a programming reinforcement workshop. Additionally, the Motivated Strategies for Learning Questionnaire (MSLQ) was used to identify the learning and motivation strategies employed by students in a CS1 programming course. the quantitative results of the experimental group show a positive correlation between the percentage of attendance at group tutoring sessions and the student’s final grade. Furthermore, a positive correlation was identified between the percentage of submitted reinforcement exercises and the student’s final grade. In the control group, significant improvements were identified in four subscales of the selected learning and motivation strategies questionnaire, even though no intervention strategy was applied. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Students

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