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Transforming Images into Paintings in the Style of Van Gogh Based on CycleGAN 3

Transforming Images into Paintings in the Style of Van Gogh ...

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3rd international conference on Intelligent Computing and Human-computer Interaction, ICHCI 2022

作者： Wu, Ming Department of Computer Science and Technology Beijing Normal University-Hong Kong Baptist University United International College Zhuhai China

ISBN: (纸本)9781510661301

Nowadays, with the rapid development of entertainment industry, filter has almost become an indispensable function in photography. However, most of the filters today are not directly change the style of an image, and even those techniques that can achieve image style transfer are difficult to be applied by users of other disciplines because of the complexity of their algorithms. In this study, a Generative Adversarial network named cycleGAN, is used to transfer normal landscape images to images with the style of Van Gogh's paintings. By using this model, two generators and discriminators will be formed. For the generator, they both generate a domain of images to the other domain, transfer them back to the original domain, and to make sure the generated images will not be differed so much with the original images. In this way, the generator can learn the important features of a specific style of images and apply them to another set of images with a different style. Experimental results show that the model does well in transferring normal landscape images to images with the style of Van Gogh's paintings, but for the transformation from the style of Van Gogh's paintings to landscape images, the effect of the model is not very ideal. © 2023 SPIE.

关键词： Generative adversarial networks

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7th EAI international conference on Science and Technologies for Smart Cities, SmartCity360° 2021

7th EAI International Conference on Science and Technologies...

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7th EAI international conference on Science and Technologies for Smart Cities, SmartCity360° 2021

ISBN: (纸本)9783031063701

The proceedings contain 45 papers presendted at a virtual meeting. The special focus in this conference is on Science and Technologies for Smart Cities. The topics include: Edge AI System Using a Thermal Camera for Industrial Anomaly Detection;power Consumption Analysis for the Development of Energy Efficient Bluetooth 5 Based Real-Time Industrial IoT Systems;towards Orchestration of Cloud-Edge Architectures with Kubernetes;simulated LoRa Sensor network as Support for Route Planning in Solid Waste Collection;exploring the Effects of Precision Livestock Farming Notification Mechanisms on Canadian Dairy Farmers;concept for Safe Interaction of Driverless Industrial Trucks and Humans in Shared Areas;feature Fusion in Deep-Learning Semantic Image Segmentation: A Survey;MR-Based UAV Route Planning for the Coverage Task;inter-satellite Optical Analog network Coding Using Modulated Retro Reflectors;low-cost Real-time IoT-Based Air Quality Monitoring and Forecasting;Channel Allocation Mechanism in C-RAN for Smart Transportation;Low Cost ICS network Scanning for Vulnerability Prevention;the Development of the Sati Interactive System: A computer-Based Interactive System that Creates a Sense of Deep Engagement in the User;benefits and Obstacles of Smart Governance in Cities;new Environmental Indicators for Sustainable Cities of Varying Size Scale: The Use Case of France;scalable and Sustainable Community networks for Inclusive Smart Cities;security in V2X Communications: A Comparative Analysis of Simulation/Emulation Tools;implementation and Comparison of Four algorithms on Transportation Problem;critical Review of Citizens’ Participation in Achieving Smart Sustainable Cities: The Case of Saudi Arabia;3-Dimensional Reconstruction of a Highly Specular or Transparent Cylinder from a Single Image;An Overview of the Status of DNS and HTTP Security Services in Higher Education Institutions in Portugal;Prevention of IoT-Enabled Crime Using Home Routers (PITCHR);preface.

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2nd international conference on Smart Technologies, Systems and Applications, SmartTech-IC 2021

2nd International Conference on Smart Technologies, Systems ...

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2nd international conference on Smart Technologies, Systems and Applications, SmartTech-IC 2021

ISBN: (纸本)9783030991692

The proceedings contain 30 papers. The special focus in this conference is on Smart Technologies, Systems and Applications. The topics include: Lightweight Convolutional Neural networks Framework for Really Small TinyML Devices;an Approach to Estimate the Orientation and Movement Trend of a Person in the Vicinity of an Industrial Robot;a Novel Algorithm for Greatly Accurate Electrical Fault Detection and Classification Based on Haar Wavelet;weather Recognition Using Self-supervised Deep Learning;software to Assist Visually Impaired People During the Craps Game Using Machine Learning on Python Platform;A Novel Technique for Forest Height Estimation from SAR Radar Images Using the Omega K Algorithm;air Pollution Software Architecture Design and Modeling: A Peruvian Case;automatic Recognition of Pictograms with Convolutional Neural network Approach for Literacy;pose Conditioned Human Motion Generation Using Generative Adversarial networks;computational Analysis of the Particles Matter in the Respiratory Tract of Children;diabetic Retinopathy: Detection and Classification Using AlexNet, GoogleNet and ResNet50 Convolutional Neural networks;design, Implementation, and Modeling of a LoRa network Installed in a Freshwater Body;Convolutional Neural network for Imagine Movement Classification for Neurorehabilitation of Upper Extremities Using Low-Frequency EEG Signals for Spinal Cord Injury;a New Handwritten Number Recognition Approach Using Typical Testors, Genetic algorithms, and Neural networks;Land Cover Classification Using CNN and Semantic Segmentation: A Case of Study in Antioquia, Colombia;towards the Recommendation of Time for Physical Activities Based on Air Pollution and Meteorological Variables;analysis of the Generation of a Synthetic Response to the Application of Contrast Agents in Breast Medical Images Using Generative Adversarial networks;Brain Tumor Segmentation Based on 2D U-Net Using MRI Multi-modalities Brain Images.

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17th international conference on Hybrid Artificial Intelligence Systems, HAIS 2022

17th International Conference on Hybrid Artificial Intellige...

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17th international conference on Hybrid Artificial Intelligence Systems, HAIS 2022

ISBN: (纸本)9783031154706

The proceedings contain 43 papers. The special focus in this conference is on Hybrid Artificial Intelligence Systems. The topics include: A New Game Theoretic Based Random Forest for Binary Classification;concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation;a Decision Support Tool for the Static Allocation of Emergency Vehicles to Stations;adapting K-Means Algorithm for Pair-Wise Constrained Clustering of Imbalanced Data Streams;small Wind Turbine Power Forecasting Using Long Short-Term Memory networks for Energy Management Systems;CORE-BCD-mAI: A Composite Framework for Representing, Querying, and Analyzing Big Clinical Data by Means of Multidimensional AI Tools;generalized Fisher Kernel with Bregman Divergence;A HAIS Approach to Predict the Energy Produced by a Solar Panel;companion Losses for Ordinal Regression;smartwatch Sleep-Tracking Services Precision Evaluation Using Supervised Domain Adaptation;convex Multi-Task Learning with Neural networks;Smash: A Compression Benchmark with AI Datasets from Remote GPU Virtualization Systems;Time Series Forecasting Using Artificial Neural networks: A Model for the IBEX 35 Index;a Fine-Grained Study of Interpretability of Convolutional Neural networks for Text Classification;olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning;architecture for Fault Detection in Sandwich Panel Production Using Visual Analytics;deep Reinforcement Learning-Based Resource Allocation for mm-Wave Dense 5G networks;evolutionary Triplet network of Learning Disentangled Malware Space for Malware Classification;a Two-Level Hybrid Based Genetic Algorithm to Solve the Clustered Shortest-Path Tree Problem Using the Prüfer Code;new Hybrid Methodology Based on Particle Swarm Optimization with Genetic algorithms to Improve the Search of Parsimonious Models in High-Dimensional Databases;tracking and Classification of Features in the Bio-Inspired Layered networks;Evo

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14th international conference on Innovative Security Solutions for Information technology and Communications, SecITC 2021

14th International Conference on Innovative Security Solutio...

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14th international conference on Innovative Security Solutions for Information technology and Communications, SecITC 2021

ISBN: (纸本)9783031175091

The proceedings contain 22 papers. The special focus in this conference is on Innovative Security Solutions for Information technology and Communications. The topics include: UC Analysis of the Randomized McEliece Cryptosystem;using Five Cards to Encode Each Integer in Z/ 6 Z;conditional Differential Cryptanalysis on Bagua;perfect Anonymous Authentication and Secure Communication in Internet-of-Things;flexible Group Non-interactive Key Exchange in the Standard Model;a Multifunctional Modular Implementation of Grover’s Algorithm;lightweight Swarm Authentication;new Configurations of Grain Ciphers: Security Against Slide Attacks;Improved Security Solutions for DDoS Mitigation in 5G Multi-access Edge Computing;ADAM: Automatic Detection of Android Malware;long-Term Secure Asymmetric Group Key Agreement;building Deobfuscated Applications from Polymorphic Binaries;viruses, Exploits, Malware and Security Issues on IoT Devices;Attack on the Common Prime Version of Murru and Saettone’s RSA Cryptosystem;identification of Data Breaches from Public Forums;a Forensic Framework for Webmail Threat Detection Using Log Analysis;an Evaluation of the Multi-platform Efficiency of Lightweight Cryptographic Permutations;Optimized Implementation of SHA-512 for 16-Bit MSP430 Microcontrollers;limitations of the Use of Neural networks in Black Box Cryptanalysis;Improved Polynomial Multiplication algorithms over Characteristic Three Fields and Applications to NTRU Prime.

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4th international conference on Frontiers in Cyber Security, FCS 2021

4th International Conference on Frontiers in Cyber Security,...

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4th international conference on Frontiers in Cyber Security, FCS 2021

ISBN: (纸本)9789811905223

The proceedings contain 22 papers. The special focus in this conference is on Frontiers in Cyber Security. The topics include: Survey of 3D Printer Security Offensive and Defensive;Requirements for Total Resistance to Pollution Attacks in HMAC-Based Authentication Schemes for network Coding;network Security Situation Assessment Method Based on MHSA-FL Model;A Hybrid network Intrusion Detection Model Based on CNN-LSTM and Attention Mechanism;system Security Analysis of Different Link Proportions Between Nodes in the Cyber-Physical System Against Target Attack;A GDIoU Loss Function-Based YOLOv4 Deep Learning network for High-Performance Insulator Location in Field Images;identification of Synthetic Spoofed Speech with Deep Capsule network;cloud-Aided Scalable Revocable Identity-Based Encryption with Ciphertext Update from Lattices;a Privacy-Preserving Medical Image Scheme Based on Secret Sharing and Reversible Data Hiding;research on Automatic Analysis and Exploitation technology of Remote Code Execution Vulnerability for Grid System;correlation Power Analysis and Protected Implementation on Block Cipher RainDrop;research on Security Assessment of Cross Border Data Flow;a Review of Data Representation Methods for Vulnerability Mining Using Deep Learning;GWDGA: An Effective Adversarial DGA;imperceptible and Reliable Adversarial Attack;architecture and Security Analysis of Federated Learning-Based Automatic Modulation Classification;detecting Inconsistent Vulnerable Software Version in Security Vulnerability Reports;multi-modal Universal Embedding Representations for Language Understanding;new Federation Algorithm Based on End-Edge-Cloud Architecture for Smart Grid;certificateless Authentication and Consensus for the Blockchain-Based Smart Grid.

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3rd international conference on Artificial Intelligence and Speech technology, AIST 2021

3rd International Conference on Artificial Intelligence and ...

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3rd international conference on Artificial Intelligence and Speech technology, AIST 2021

ISBN: (纸本)9783030957100

The proceedings contain 54 papers. The special focus in this conference is on Artificial Intelligence and Speech technology. The topics include: Feature Extraction and Sentiment Analysis Using Machine Learning;a Neural network Based Approach for Text-Level Sentiment Analysis Using Sentiment Lexicons;cross Linguistic Acoustic Phonetic Study of Punjabi and Indian English;prashn: University Voice Assistant;spectrogram Analysis and Text Conversion of Sound Signal for Query Generation to Give Input to Audio Input Device;a Contrastive View of Vowel Phoneme Assessment of Hindi, Indian English and American English Speakers;Text-Based Analysis of COVID-19 Comments Using Natural Language Processing;indian Languages Requirements for String Search/comparison on Web;dictionary Vectorized Hashing of Emotional Recognition of Text in Mutual Conversation;Speaker Independent Accent Based Speech Recognition for Malayalam Isolated Words: An LSTM-RNN Approach;Comparative Analysis of NLP Text Embedding Techniques with Neural network Layered Architecture on Online Movie Reviews;current State of Speech Emotion Dataset-National and international Level;context-Aware Emoji Prediction Using Deep Learning;development of ManiTo: A Manipuri Tonal Contrast Dataset;deep Neural networks for Spoken Language Identification in Short Utterances;a Lightweight Deep Learning Approach for Diabetic Retinopathy Classification;machine Hearing a Cognitive Service for Aiding Clinical Diagnosis;critical Insights on Cancer Detection Using Deep Learning;OHF: An Ontology Based Framework for Healthcare;enhancing the Deep Learning-Based Breast Tumor Classification Using Multiple Imaging Modalities: A Conceptual Model;a Review on Speech Synthesis Based on Machine Learning;EEG Based Stress Classification in Response to Stress Stimulus;hindi Phoneme Recognition - A Review.

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1st international conference on Artificial Intelligence and Data Science, ICAIDS 2021

1st International Conference on Artificial Intelligence and ...

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1st international conference on Artificial Intelligence and Data Science, ICAIDS 2021

ISBN: (纸本)9783031213847

The proceedings contain 43 papers. The special focus in this conference is on Artificial Intelligence and Data Science. The topics include: Challenges in Crop Selection Using Machine Learning;Handcrafted Features for Human Gait Recognition: CASIA-A Dataset;local Binary Pattern Symmetric Centre Feature Extraction Method for Detection of Image Forgery;a Copy and Move Image Forged Classification by Using Hybrid Neural networks;preface;comparative Analysis of Advanced Machine Learning Based Techniques to Identify the Lung Cancer: A Review;cardiac Surveillance System Using by the Modified Kalman Filter;an Extensive Study on Parkinson’s Disease Using Different Approaches of Supervised Learning algorithms;adaptive Convolution Neural networks for Facial Emotion Recognition;A Gravitational Search Algorithm Study on Text Summarization Using NLP;analysis of Deep Learning Methods for Prediction of Plant Diseases;ACHM: An Efficient Scheme for Vehicle Routing Using ACO and Hidden Markov Model;detection of Leaf Disease Using Artificial Intelligence;Deep CNN Based Whale Optimization for Predicting the Rice Plant Disease in Real Time;DCBC_DeepL: Detection and Counting of Blood Cells Employing Deep Learning and YOLOv5 Model;ML_SPS: Stroke Prediction System Employing Machine Learning Approach;Classification and Identification of Objects in Images Using CNN;a System for network Based Intrusion Avoidance Using Dedicated Machine Learning and Artificial Intelligence-Based Model for Application and Data Safety;AI-Based COVID Alert System on Embedded Platform;an Efficient Detection of Brain Stroke Using Machine Learning Robust Classification;apple Leaf Diseases Detection System: A Review of the Different Segmentation and Deep Learning Methods;underwater Image Restoration and Enhancement Based on Machine and Deep Learning algorithms.

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1st international conference on Emerging technology Trends in Internet of Things and Computing, TIOTC 2021

1st International Conference on Emerging Technology Trends i...

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1st international conference on Emerging technology Trends in Internet of Things and Computing, TIOTC 2021

ISBN: (纸本)9783030972547

The proceedings contain 26 papers. The special focus in this conference is on Emerging technology Trends in Internet of Things and Computing. The topics include: A Lightweight Algorithm to Protect the Web of Things in IOT;Proof of Good Service Based on DAGs-To-Blockchain for IoT Applications;approaches for Forgery Detection of Documents in Digital Forensics: A Review;novel Approximation Booths Multipliers for Error Recovery of Data-Driven Using Machine Learning;A Spectrum Sensing Profile Based SDR for Cognitive Radio System: An Experimental Work;named Data networking Mobility: A Survey;Integration Femtocells Based on Hybrid Beamforming with Existing LTE Macro-cell for Improving Throughput Towards 5G networks;cardiac Arrhythmia Diagnosis via Multichannel Independent Component Analysis: An Approach Towards a Better Health Care System;an Intelligent Flood Alert System Using LoRa on Basis of Internet of Things;investigation on the Impact of Video Games on People Who Use New technology;An Improved Video Coding Model for Future IMT Requirements;eye Gaze Based Model for Anxiety Detection of Engineering Students;Automated Brain Tumor Segmentation and Classification Through MRI Images;the Efficiency of Classification Techniques in Predicting Anemia Among Children: A Comparative Study;brain Tumours Classification Using Support Vector Machines Based on Feature Selection by Binary Cat Swarm Optimization;a New Secret Sharing Scheme Based on Hermite Interpolation and Folded Magic Cube Rules;training Adaptive Neuro Fuzzy Inference System Using Genetic algorithms for Predicting Labor Productivity;Applying an Efficient AI Approach for the Prediction of Bearing Capacity of Shallow Foundations;preface.

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Dynamic Offloading Control for Waste Sorting Based on Deep Q-network 24th

Dynamic Offloading Control for Waste Sorting Based on Deep...

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24th international conference on algorithms and Architectures for Parallel Processing, ICA3PP 2024

作者： Wang, Jing Wang, Xiaoyang Guo, Jianxiong Tang, Zhiqing Ding, Xingjian Wang, Tian Advanced Institute of Natural Sciences Beijing Normal University Zhuhai China Guangdong Key Lab of AI and Multi-modal Data Processing Department of Computer Science BNU-HKBU United International College Zhuhai China Faculty of Information Technology Beijing University of Technology Beijing China

ISBN: (纸本)9789819615278

With the increasing concern for environmental protection and resource optimization, efficient waste sorting has become a serious challenge today. In this paper, we propose a new offloading control problem that aims to solve waste sorting in wireless bin communication networks. Due to limited computational power, bins belonging to embedded devices rely on simple classification models with varying accuracy. In this scenario, consider a network of intelligent bins, each acting as an independent agent capable of deciding to offload an image to the edge server with a more accurate but resource-intensive model when the local classification is deemed inaccurate. Thus, Our goal is to find a lightweight online offloading policy that can achieve the best possible sorting accuracy while balancing transmission traffic. The method utilizes a Deep Q-network algorithm that enables each intelligent bin to make image-processing decisions autonomously. In the experiment, we validate the effectiveness of improving the performance of waste classification compared with existing flow control methods. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Distributed Resource Allocation Intelligent Waste Management Waste Sorting Wireless Communication network

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