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检索条件"任意字段=5th International Conference on Fun with Algorithms"

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fun with algorithms - 5th international conference, fun 2010, Proceedings

Fun with Algorithms - 5th International Conference, FUN 2010...

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5th international conference on fun with algorithms, fun 2010

ISBN: (纸本)3642131212

the proceedings contain 34 papers. the topics discussed include: do we need a stack to erase a component in a binary image?;a hat trick;fun at a department store: data mining meets switching theory;urban hitchhiking;a fun application of compact data structures to indexing geographic data;on table arrangements, scrabble freaks, and jumbled pattern matching;cryptographic and physical zero-knowledge proof: from Sudoku to nonogram;tradeoffs in process strategy games with application in the WDM reconfiguration problem;UNO is hard, even for a single player;leveling-up in heroes of might and magic III;the magic of a number system;mapping an unfriendly subway system;an algorithmic analysis of the honey-bee game;cracking bank PIN by playing mastermind;computational complexity of two-dimensional platform games;return of the boss problem: competing online against a non-adaptive adversary;and managing change in the era of the iPhone.

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2025 5th international conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2025

2025 5th International Conference on Advances in Electrical,...

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5th IEEE international conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2025

ISBN: (纸本)9798350356236

the proceedings contain 174 papers. the topics discussed include: optimized hybrid cryptographic technique using symmetric and asymmetric encryption for cloud computing;ultrathin and compact broadband printed monopole antenna with steady radiation pattern for SHF satellite communication;deflection of light rays in electric field;fighting the illusion: exploring consumer defense against deepfake technology using protection motivation theory;optimization and analysis of microgrid operations considering renewable energy integration and energy storage systems under variable weather conditions;performance evaluation of precise/approximate multipliers for filter applications;cost minimization in residential hybrid energy systems using advanced scheduling algorithms;and fuzzy–random forest predictive models for improvement of sugarcane yield and quality.

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A Novel Roof Detection Algorithm Based SLSC Supervoxel for Airborne LiDAR Point Cloud Data 5

A Novel Roof Detection Algorithm Based SLSC Supervoxel for A...

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5th IEEE international conference on Power, Electronics and Computer Applications, ICPECA 2025

作者： Yue, Lili Yun, Mengqing Han, Di School of Marxism Jilin Communications Polytechnic Changchun China Cloud Computing Center China Telecom Chengdu China International Education Jilin Communications Polytechnic Changchun China

ISBN: (纸本)9798331533694

A new roof detection framework is proposed in this article for detecting roofs from raw point cloud obtained from ALS (Airborne Laser Scanner). there are two main problems solved by the framework, the first problem is that the traditional supervoxel-based algorithm cannot provide accurate feature extraction regions, leading to degradation of classification performance. the second problem is that traditional individual roof segmentation algorithms suffer from the difficulty of ensuring a balance between efficiency and accuracy. To address the first problem, a SLSC (Supervoxel-based Linear Spectral Clustering Segmentation) algorithm is proposed for the feature extraction, which takes into account the correlation of local neighbor changes in terms of supervoxels and provides suitable neighbors for feature computation. Experiments are conducted on two ALS point cloud datasets to evaluate the performance of the algorithms in this article. this algorithm achieved advanced results on two datasets, with overall accuracies of 73.29% and 81.21%, respectively. © 2025 IEEE.

关键词： Laser applications

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Quantum Task Allocation and Scheduling with Security Enhancements via Quantum Key Distribution 5

Quantum Task Allocation and Scheduling with Security Enhance...

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5th international conference on Emerging Systems and Intelligent Computing, ESIC 2025

作者： Singh, Animesh Mohan, Ankita Nayak, Satyakam Sharma, Neeraj Chakraborty, Sanjukta Bandyopadhyay, Anjan Kiit University School of Computer Engineering Bhubaneswar751024 India Lovely Professional University School of Computer Engineering Jalandhar144411 India Techno International New Town Kolkata700156 India

ISBN: (纸本)9798331522100

As quantum computing progresses, the need for optimized task allocation and scheduling becomes paramount to efficiently harness quantum resources. Simultaneously, ensuring the security of communications in quantum systems is critical, given their vulnerability to quantum-specific attacks. this paper introduces a framework for quantum task allocation and scheduling, augmented with security enhancements using Quantum Key Distribution (QKD). By incorporating novel quantum scheduling algorithms and cryptographic protections, this mechanism offers both high efficiency and strong security. Analytical formulations and simulations confirm the robustness of our approach, demonstrating improvements in both scheduling efficiency and secure communication. © 2025 IEEE.

关键词： Qubits

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Generating Difficult and fun Nonograms 12th

Generating Difficult and Fun Nonograms

引用

12th international conference on Computers and Games, CG 2024

作者： Roucairol, Milo Cazenave, Tristan LAMSADE Université Paris Dauphine - PSL Place du Maréchal de Lattre de Tassigny Paris75016 France

ISBN: (纸本)9783031865848

Nonograms are Japanese logic puzzles where the player must find a 2D black-and-white image using information on the columns and rows. Here we present a new method to generate nonograms of varying difficulties and enjoyability using a human-like solver to estimate the difficulty of a puzzle, and Monte Carlo Tree Search algorithms to optimize the estimation of the difficulty. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Adversarial machine learning

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Analysis and Research on Generative Artificial Intelligence in the Field of international Library and Information Science 24

Analysis and Research on Generative Artificial Intelligence ...

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5th international conference on Computer Science and Management Technology, ICCSMT 2024

作者： Yan, Erkai Gao, Mengxiao Tang, Mei Library Northwestern Polytechnical University Shaanxi Xi'an China

ISBN: (纸本)9798400709999

Generative artificial intelligence is an artificial intelligence technology based on deep learning whose core lies in leveraging computer algorithms and training data to generate new, practically valuable content, encompassing text, images, audio, videos, etc. this technology is poised to exert profound impacts on the transformation and development of libraries. Drawing on generative artificial intelligence research publications in the field of international library and information science included in the Scopus database as the data source, this paper employs CiteSpace software and SciVal tools to conduct a visual analysis of literature outputs, core authors, journal sources, and keywords. the results show that generative artificial intelligence research in the international library and information science field is applied primarily in areas such as reference services, information literacy education, and smart libraries. Recommendations are made to promote the application and development of generative artificial intelligence technology in libraries by strengthening technological research and application, boosting data analysis and data sharing, emphasizing information security and privacy protection, promoting cross-boundary integration and ecological development, etc. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Generative adversarial networks

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Stock trend prediction based on multi-factor screening machine 24

Stock trend prediction based on multi-factor screening machi...

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5th international conference on Computer Science and Management Technology, ICCSMT 2024

作者： Hu, Ruijie Faculty of Science and Technology Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science BNU-HKBU United International College Zhuhai China

ISBN: (纸本)9798400709999

With the rapid development of financial markets, stock price prediction, as a highly complex and challenging topic, has attracted more and more attention from academia and industry. this study aims to use multiple machine learning algorithms to predict stock market prices, especially exploring the advantages of deep learning models in capturing market nonlinear and time series characteristics. In this article, a machine learning model is used for contribution analysis, analyzing multiple features of stocks, performing a weighted combination analysis of features, and then using a convolutional neural network to perform feature extraction and analysis of stocks, and combining the attention mechanism for deep feature extraction, and finally use the long short-term memory network (LSTM) model to output the model to analyze and predict future stock trends. the experimental results show that combining deep learning analysis technology and factor screening machine can significantly improve the prediction accuracy of the model. At the same time, this article also compared the performance of different models in different market environments, and concluded that in markets with higher volatility, models based on deep learning are more stable. Ultimately, this research provides a new technical means for risk management and investment decisions in financial markets. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Convolutional neural networks

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5th international conference on Computing, Communications, and Cyber Security, IC4S 2023

5th International Conference on Computing, Communications, a...

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5th international conference on Computing, Communications, and Cyber Security, IC4S 2023

ISBN: (纸本)9789819773701

the proceedings contain 68 papers. the special focus in this conference is on Computing, Communications, and Cyber Security. the topics include: Compact and High-Gain RFID Reader Antennas for Future Internet of things Applications;Enabling Modern IoT Solutions with RFID Devices via an Integrated Feeding Network-Fed Ultra-Wide HPBW Patch Antenna Array;A Compact and Extremely Stiffness CPW-Fed Metal-Only Patch Antenna Array for Unlimited Lifetime 2U CubeSat Mission Capabilities;Jeans-Based UWB UHF Textile Patch Antenna for IoT Applications;Design and Fabrication of PCB-Based Proximity Sensors for Application in Automatic Railway Crossing System;feaTrim-ViT: Vision Transformer Trimming with One Shot Neural Architecture Search in Continuous Optimisation Space and Efficient Feature Selection;detecting Depressive Symptoms on Social Media: A Comprehensive Review of Methodologies and Strategies for Suicide Prevention;enhancing Video Content Accessibility through YouTube Transcript Summarization;Enhanced Rear-End Collision Detection and Localization Scheme Using LSTM, DRNN, and DNN in Fog-Based Internet of Vehicles;security threats and Data Protection Methods Used in Cloud Computing: A Review;load Balancing algorithms for Cloud Computing Performance: A Review;seamless Mobility: Innovating the Digital Service Landscape in Telecom Industry;Pandemic Pulse: Unveiling Insights with the Global Health Tracker through AI and ML;CNN-Based Model for Real-Time Identification of Face Masks;a Systematic Review of Deepfake Detection Using Learning Techniques and Vision Transformer;probabilistic Forecasting Prediction Model for Anticipating Days with Elevated Air Pollution;optimizing Graph Colorings: Unleashing the Power of Heuristic algorithms for Enhanced Problem-Solving;a Load Balancing Approach Using Binary Search;enhancing Software Reliability through Hybrid Metaheuristic Optimization.

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5th international conference on Data Science, Machine Learning and Applications, ICDSMLA 2023

5th International Conference on Data Science, Machine Learni...

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5th international conference on Data Science, Machine Learning and Applications, ICDSMLA 2023

ISBN: (纸本)9789819780426

the proceedings contain 128 papers. the special focus in this conference is on Data Science, Machine Learning and Applications. the topics include: Digitization of Monuments – An Impact on the Tourist Experience with Special Reference to Hampi;resume Parser Using Machine Learning;IOT Based Smart Hydroponics System;comparative Study of Machine Learning and Deep Learning Techniques for Cancer Disease Detection;High thruput Modulation Approaches Used in Next Generation WiF’s Under Multi-impairments Environments with MATLAB Codes;skin Disease Detection;root Vegetable Crop Recommendation System Based on Soil Properties and Environmental Factors;deep Learning Model Development for an Automatic Healthcare Edge Computing Application;Empathetic Conversations in Mental Health: Fine-Tuning LLMs for Supportive AI Interactions;exploring Block Chain Technology with Applications, and Future Prospects;a Comprehensive Review of Soft Computing Enabled Techniques for IoT Security: State-of-the-Art and Challenges Ahead;Performance Analysis of Machine Learning algorithms on Imbalanced Datasets Using SMOTE Technique;An AI Based Nutrient Tracking and Analysis System;power Saving Mechanism for Street Lights System Using IoT;Automatic Login System Using ATTINY85 IC;forecasting Stock Prices: A Comparative Analysis of Machine Learning, Deep Learning, and Statistical Approaches;smart Vision Bot;robots in Logistics: Apprehension of Current Status and Future Trends in Indian Warehouses;smart Healthcare: Enhancing Patient Well-Being with IoT;Detection of B-ALL Using CNN Model and Deep Learning;a Comprehensive Analysis for Advancements and Challenges in Deep Learning Models for Image Processing;a Comprehensive Survey on Enhancing Patient Care through Deep Learning and IoT-Enabled Healthcare Innovations;attention-Based Image Caption Generation.

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5th international conference on Data Science, Machine Learning and Applications, ICDSMLA 2023

5th International Conference on Data Science, Machine Learni...

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5th international conference on Data Science, Machine Learning and Applications, ICDSMLA 2023

ISBN: (纸本)9789819780303

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