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检索条件"任意字段=2nd International Conference on Art, Science, and Engineering of Programming, Programming 2018"

共 1802 条记录，以下是11-20 订阅

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Exploring Taiwan Monkeypox Virus (MPOX/MPXV) Clade IIb by Establishing Dataset and Clustering by using Sequence and Image Similarity Comparisons 24

Exploring Taiwan Monkeypox Virus (MPOX/MPXV) Clade IIb by Es...

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7th international conference on Computational Intelligence and Intelligent Systems, CIIS 2024

作者： Wang, Tzung-Wei Li, Ming-Kuang Lou, Der-Chyuan Lin, Chun-Yuan Dept. of Electronics Engineering Chang Gung University Taoyuan Taiwan Dept. of Computer Science and Information Engineering Asia University Taiwan Taichung Taiwan Dept. of Computer Science and Information Engineering Chang Gung University Taoyuan Taiwan

ISBN: (纸本)9798400717437

Based on the MPXV Clade IIb cases in Taiwan, 175 segments were identified from OPG001 to OPG210. The first focus of this paper is on sequence analysis of the MPXV cases in Taiwan, detailing the procedures, including semi-automated segmentation and dataset creation from a large number of MPXV Clade IIb nucleotide sequences found in the NCBI and GISAID databases. The second feature highlights the pioneering establishment of an MPXV Clade IIb RNA 2nd structure image dataset in Taiwan, as such a dataset does not yet exist globally. The third characteristic involves the use of unsupervised learning methods for the rapid clustering of MPXV Clade IIb RNA 2nd structure images. This approach allows not only for the quick detection and clustering of unknown MPXV Clade IIb cases but also for the rapid identification of new MPXV mutations and structural changes. Compared to traditional sequence analysis, this new hybrid systematic method significantly enhances overall efficiency, improving processing speed by at least 24 hours when handling the alignment of 10 MPXV sequences from Taiwan. Future plans include using this prototype analytical model and method to accelerate the analysis of critical lethal factors in MPXV Clade IIb, such as D14L, ultimately helping biologists reduce the time required for analysis and antiviral drug development. © 2024 Copyright held by the owner/author(s).

关键词： Nucleotides

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2017 2nd international conference on Knowledge engineering and Applications, ICKEA 2017

2017 2nd International Conference on Knowledge Engineering a...

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2nd international conference on Knowledge engineering and Applications, ICKEA 2017

ISBN: (纸本)9781538621509

The proceedings contain 45 papers. The topics discussed include: sentiment analysis for sarcasm detection on streaming short text data;a novel approach based on an extended cuckoo search algorithm for the classification of tweets which contain emoticon and emoji;tracking feature relevance with the plaid model in continuously changing datasets;an efficient approach for time series join on subsequence correlation using suffix tree;the framework for spatiotemporal sequential rule mining: crime data case study;a logical data exchange model for adapting different methods abstracting plant architecture;prediction of short term adverse events occurrence in NB-UVB phototherapy treatments using data mining;testing techniques and analysis of SQL injection attacks;a rule based decision support system for programming language selection;the measurement, mathematical and logical modeling, and agent-based simulation of carbon intangible assets with embedded strategies;developing integrated classification system to provide systematic information of science and technology policy;the influence of information sharing and collaboration on the extent of innovation activities;exploiting domain knowledge and public linked data to extract opinions from reviews;using social media listening technique for monitoring people's mentions from social media: a case study of Thai airline industry;and relationship between environmental awareness and environmental knowledge using 'AKASA' model among architecture students in private universities, Klang Valley, Malaysia.

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2nd international conference on Intelligent Systems in Production engineering and Maintenance, ISPEM 2018

2nd International Conference on Intelligent Systems in Produ...

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2nd international conference on Intelligent Systems in Production engineering and Maintenance, ISPEM 2018

ISBN: (纸本)9783319974897

The proceedings contain 73 papers. The special focus in this conference is on Intelligent Systems in Production engineering and Maintenance. The topics include: Concept of power grid resiliency to severe space weather;promoting cross-border cooperation between science and small businesses as a source of innovation;definition of characteristic values for the efficient and safe implementation of electronic cam gears;design of performance indicators based on effective time and throughput variability. case study in mining industry;development of an intelligent drainage-humidifying control system based on neo-fuzzy neural networks;evolution of technical systems maintenance approaches – Review and a case study;forecasting the mountability level of a robotized assembly station;identification of challenges to be overcome in the process of enhancing innovativeness based on implementation of central European projects funded from interreg programme;improvement of production process scheduling with the use of heuristic methods;a computer application for drone parametrization: Developing solution for drone manufacturing;intuitive methods of industrial robot programming in advanced manufacturing systems;manufacturing activities modelling for the purpose of machining process plan generation;model of application of cluster analysis in storage area designing;module for prediction of technological operation times in an intelligent job scheduling system;Pricing and ordering decisions in a JELS-model for items with imperfect quality;probabilistic fuzzy approach to assessment of supplier based on delivery process;processing of design and technological data due to requirements of computer aided process planning systems;risk assessment for potential failures during process implementation using production process preparation;conveyor belt 4.0.

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Stereoscopic Gated Graph Scalable Quantum Capsule Convolutional Neural Networks with artificial Hummingbird Algorithm for Social Media Content Classification and Community Detection 2

Stereoscopic Gated Graph Scalable Quantum Capsule Convolutio...

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2nd international conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Elumalai, A. Devi, S. Rukmani Victoria, D. Rosy Salomi Jagadeeswaran, A. Mukherjee, Aparajita Vinoth, K. R.M.K. Engineering College Department of Mathematics Tamil Nadu Chennai601206 India Saveetha College of Liberal Arts and Sciences SIMATS Deemed to be University Department of Computer Science Tamil Nadu Chennai602105 India Chennai Institute of Technology Department of Information Technology Tamil Nadu Chennai600069 India Annapoorana Engineering College Department of Electronics and Communication Engineering Tamil Nadu Salem636308 India University of Engineering and Management Department of Computer Science and Engineering West Bengal Kolkata700160 India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Electrical and Electronics Engineering Tamil Nadu Chennai600062 India

ISBN: (纸本)9798331505745

Social Media Content Classification and Community Detection (SMCCCD) classify content and identify communities through deep learning, and NLP. Traditional models are weak in scalability and interpretability. To solve all these problems, this paper introduces a Stereoscopic Gated Graph Scalable Quantum Capsule Convolutional Neural Networks with artificial Hummingbird Algorithm (SGGSQCCN2Nets+AHA) for social content classification and community detection. Data inputs are accessed from the Twitter dataset and are initially preprocessed by the Natural Language (NL) method. After preprocessing, content classification and community detection are done using the Stereoscopic Gated Graph Scalable Quantum Capsule Convolutional Neural Networks (SGGSQCCN2Nets) and optimization is then performed with the artificial Hummingbird Algorithm (AHA). The performance of the new SGGSQCCN2Nets+AHA model is tested on a Twitter dataset with a high accuracy rate of 99.9% and specificity of 99.8%. The proposed model is developed by utilizing Python programming language. The outcome of the proposed SGGSQCCN2Nets+AHA model enhances the performance of content classification and improves user community detection accuracy. It is effective in addressing scalability issues, obtaining complex features, and offering more interpretability. The model is also resilient against noisy data dynamically adapts to evolving social media trends and outperforms traditional deep learning techniques in real-time analysis. © 2025 IEEE.

关键词： Tweets

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Design and implementation of Digital Twin PaaS platform based on Industrial Internet 2

Design and implementation of Digital Twin PaaS platform base...

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2nd international conference on Big Data, Computational Intelligence, and Applications, BDCIA 2024

作者： Hu, Enhui Pan, Tiejun Song, Min Chai, Junyi Zhang, Rundong Jin, Yongqingyang Pan, Zhangqi Science & Technology Ningbo University Ningbo China School of Civil Engineering Zhejiang University of Technology Hangzhou China School of Civil Economics Zhejiang Gongshang University Hangzhou China

ISBN: (纸本)9781510689053

The Digital Twin Platform as a Service (PaaS) is a cloud-based solution that facilitates bidirectional control of digital twin systems, effectively bridging virtual and physical environments. It integrates various protocols such as TCP, MODBUS, MQTT, and OPC UA at the data collection level, creating a robust industrial Internet workflow platform. This approach minimizes the complexity faced by developers by providing a set of code-free and low-code tools for seamless project deployment and management. At the digital twin level, the platform features a Unity cloud rendering solution specifically designed for Haitian injection molding machines, which significantly reduces programming difficulty and lowers hardware configuration requirements. Additionally, a gesture recognition-based detection model enhances operational safety for robotic and mechanical arm actions. Through these comprehensive functionalities, our PaaS system not only improves development efficiency and user experience but also demonstrates superior performance compared to existing solutions. This innovative platform holds substantial market potential and theoretical significance, making it a promising candidate for further promotion and practical application. © 2025 SPIE.

关键词： Gesture recognition

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2nd international conference on Bridging the Gap Between AI and Reality, AISoLA 2024

2nd International Conference on Bridging the Gap Between AI ...

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2nd international conference on Bridging the Gap Between AI and Reality, AISoLA 2024

ISBN: (纸本)9783031754333

The proceedings contain 28 papers. The special focus in this conference is on Bridging the Gap Between AI and Reality. The topics include: Responsible and Trusted AI: An Interdisciplinary Perspective;team Design Patterns for Meaningful Human Control in Responsible Military artificial Intelligence;transparent Transparency Developing a Scheme for Understanding Transparency Requirements;AI Act for the Working Programmer;AI Assisted programming: (AISoLA 2024 Track Introduction);SEGym: Optimizing Large Language Model Assisted Software engineering Agents with Reinforcement Learning;Towards Specification-Driven LLM-Based Generation of Embedded Automotive Software;proof Repair Utilizing Large Language Models: A Case Study on the Copland Remote Attestation Proofbase;LLM-Based Scheme for Synthesis of Formal Verification Algorithms;verification and Learning for Assured Autonomy;a Comparison of Monitoring Techniques for Deep Neural Networks;efficient Shield Synthesis via State-Space Transformation;Runtime Verification and AI: Addressing Pragmatic Regulatory Challenges;A Game-Based Semantics for the Probabilistic Intermediate Verification Language HeyVL;Systematic Translation from Natural Language Robot Task Descriptions to STL;it’s Safe to Play While Driving: From a Spatial Traffic Logic Towards Traffic Games;monitoring Safety and Reliability of Underwater Robots: A Case Study;statistical Model Checking the 2024 Edition!;Reinforcement Learning for Discretized Euclidean MDPs;adaptive Stopping Algorithms Based on Concentration Inequalities;digging for Decision Trees: A Case Study in Strategy Sampling and Learning;statistical Analysis of the Impact of Bit-Flips in Security Critical Code;statistical Model Checking of Python Agent-Based Models: An Integration of MultiVeStA and Mesa;On SMC-Based Dependability Analysis in LoLiPoP-IoT Project;Towards Verifying Robotic Systems Using Statistical Model Checking in STORM.

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Construction of Python programming case library for artificial intelligence under the background of new engineering disciplines 24

Construction of Python programming case library for artifici...

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Proceedings of the 2024 2nd international conference on Information Education and artificial Intelligence

作者： Cheng Lv Department of Computer Science School of Electrical and Information Engineering Beijing University of Civil Engineering and Architecture Beijing China

ISBN: (纸本)9798400711732

Python language has a powerful artificial intelligence algorithm library. This study adopts a project driven approach and fully utilizes graphical visualization programming tools such as Raptor and Orange3 to assist teaching. At the same time, with the help of large models to assist programming, the cultivation of mathematical thinking, logical thinking, AI thinking, engineering thinking, and programming training are integrated into Python language course teaching in a step-by-step and progressive manner, forming a robust teaching ecosystem. Under the innovative teaching mode, students have gained sufficient practical training through graphic visualization programming, large model assisted programming, Python program writing and debugging, etc., mastering the Python language and gaining intuitive understanding of engineering project development, and enabling them to have preliminary research and development capabilities for artificial intelligence.

关键词： Advanced Case Library

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Proceedings of the 2nd international conference on the Frontiers of Robotics and Software engineering (FRSE 2024) 1

Proceedings of the 2nd International Conference on the Front...

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丛书名： Lecture Notes in Networks and Systems

1000年

作者： Jiangping Hu Jin Zhang

ISBN: (数字)9789819631612

ISBN: (纸本)9789819631605;9789819631636

The proceeding of FRSE presents a collection of innovation research in the cutting edge fields of robotics and software engineering. It is highlighted within that there are novel methodologies, critical analyses, and breakthrough results which emphasize the enhanced or amplified results achieved when robotics technologies are integrated with advanced software. This book is outfitted with numerous diagrams, tables, and conceptual frameworks, structured to enhance comprehension and accessibility, that facilitate a deeper understanding of complex topics. The presentation is not just theoretical but includes case studies and real-world applications, offering a practical approach to complex problem-solving techniques across related industries. Readers will receive benefits from this comprehensive resource, gain a renew understanding of contemporary challenges and innovative solutions in robotics and software engineering. And this book will be a guide and asset for research scholars and professionals in robotics and software engineering looking to apply these these cutting-edge technologies in impactful ways.

关键词： Robotics and Automation Control and Systems Theory Software engineering/programming and Operating Systems

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Proceedings of the 2nd international conference on the Frontiers of Robotics and Software engineering (FRSE 2024) 1

Proceedings of the 2nd International Conference on the Front...

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丛书名： Lecture Notes in Networks and Systems

1000年

作者： Jiangping Hu Jin Zhang

ISBN: (数字)9789819630134

ISBN: (纸本)9789819630127;9789819630158

关键词： Robotics and Automation Control and Systems Theory Software engineering/programming and Operating Systems

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Advances in Fuzzy Relation Inequalities and Optimization Techniques

Advances in Fuzzy Relation Inequalities and Optimization Tec...

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Computational Intelligence, Communication Technology and Networking (CICTN), international conference on

作者： Udit Deo Jay Kumar Jain Mms Beg Department of Mathematics and Computer Applications MANIT Bhopal Bhopal India Department of Computer Engineering Zakir Husain College Of Engineering and Technology AMU Aligarh India

ISBN: (数字)9798331530389

ISBN: (纸本)9798331530396

Fuzzy relation inequalities (FRIs) play a crucial role in various optimization and decision-making problems that involve uncertainty and imprecision. The solution of such inequalities has been an active area of research, leading to the development of a wide array of advanced algorithms designed to handle fuzzy constraints in optimization problems. This paper reviews the most prominent algorithms developed for solving fuzzy relation inequalities, focusing on the evolution of methods from traditional linear programming to modern metaheuristic algorithms. We explore linear programming approaches that integrate fuzzy relational constraints using different composition operations, such as max-min, max-Łukasiewicz, and addition-min compositions. The advancements in these methods, particularly in handling large-scale and complex fuzzy systems, are highlighted. Additionally, the paper examines the application of metaheuristics, including Particle Swarm Optimization (PSO), in solving fuzzy optimization problems under relational inequalities. The use of bipolar fuzzy relations in optimization models is also reviewed, emphasizing their ability to model conflicting objectives in decision-making. Moreover, geometric programming, hybrid algorithms combining fuzzy relations with other optimization paradigms, and future trends in integrating machine learning techniques into fuzzy optimization are discussed. The review provides valuable insights into the state-of-the-art algorithms for fuzzy relation inequalities, offering potential directions for future research and applications in dynamic, real-world systems. The proposed methods are crucial for improving decision-making in fields such as healthcare, finance, and intelligent systems, where uncertainty and imprecision are inherent.

关键词： Uncertainty Machine learning algorithms Reviews Heuristic algorithms Decision making Metaheuristics programming Linear programming Particle swarm optimization Fuzzy systems

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