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检索条件"任意字段=3rd International Conference on Computer Vision and Pattern Analysis, ICCPA 2023"

共 459 条记录，以下是1-10 订阅

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3rd international Workshop on computer vision for analysis of Underwater Imagery, CVAUI 2018, 7th international Workshop on Computational Forensics, IWCF 2018, and international Workshop on Multimedia Information Processing for Personality and Social Networks analysis, MIPPSNA 2018 held at 24th international conference on pattern Recognition, ICPR 2018

3rd International Workshop on Computer Vision for Analysis o...

引用

3rd international Workshop on computer vision for analysis of Underwater Imagery, CVAUI 2018, 7th international Workshop on Computational Forensics, IWCF 2018, and international Workshop on Multimedia Information Processing for Personality and Social Networks analysis, MIPPSNA 2018 held at 24th international conference on pattern Recognition, ICPR 2018

ISBN: (纸本)9783030057916

The proceedings contain 16 papers. The special focus in this conference is on computer vision for analysis of Underwater Imagery. The topics include: Categorization of Document Image Tampering Techniques and How to Identify Them;overview of the Multimedia Information Processing for Personality & Social Networks analysis Contest;handwritten Texts for Personality Identification Using Convolutional Neural Networks;recognition of Apparent Personality Traits from Text and Handwritten Images;multimodal Database of Emotional Speech, Video and Gestures;from Text to Speech: A Multimodal Cross-Domain Approach for Deception Detection;marine Snow Removal Using a Fully Convolutional 3D Neural Network Combined with an Adaptive Median Filter;strategies for Tackling the Class Imbalance Problem in Marine Image Classification;an Online Platform for Underwater Image Quality Evaluation;tracking Sponge Size and Behaviour with Fixed Underwater Observatories;enhancement of Low-Lighting Underwater Images Using Dark Channel Prior and Fast Guided Filters;Underwater-GAN: Underwater Image Restoration via Conditional Generative Adversarial Network;single Image Plankton 3D Reconstruction from Extended Depth of Field Shadowgraph;a Novel Method for Race Determination of Human Skulls.

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Bangla License Plate Detection and Recognition Approach Based on computer vision for Authentic Vehicle Identification 3rd

Bangla License Plate Detection and Recognition Approach Base...

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3rd international conference on Trends in Electronics and Health Informatics, TEHI 2023

作者： Dhar, Rajib Kumar Khanom, Fahmida Uddin, Khandaker Mohammad Mohi Imam, Md. Hasan Mostafiz, Rafid Institute of Information Technology Noakhali Science and Technology University Noakhali Bangladesh Department of Mathematics American International University—Bangladesh 408/1 Kuratoli Khilkhet Dhaka1229 Bangladesh Department of Computer Science and Engineering Southeast University Dhaka1208 Bangladesh

ISBN: (纸本)9789819739363

Vehicle license plates (LPs) detection and recognition is a fundamental technique in computer vision that plays a crucial role to extract, localize, and authenticate the information of a vehicle. This paper presents an efficient method for Bangla LPs recognition and vehicle authentication using edge analysis and pattern matching algorithm in real-time nature. This method performs four modules as: preprocessing, license plate identification, character recognition, vehicle authentication. A multi-step preprocessing technique has been applied to extract and understand the potential information in case of any uneven images. To identify edge connectivity and uniformity, Canny edge detector provides more promising in contour analysis and character localization. The segmented characters are converted into texts and verified using the pattern matching algorithm by a predefined database. For this research, a database consisting of 3000 automobile license plate photos captured under different climatic circumstances has been compiled. Additionally, we have curated two additional databases consisting of templates for recognition and registered automobiles for the purpose of authentication. The proposed model can achieve accuracy of 96% in LPs detection, 99% in character recognition, and 100% in vehicle authentication by extracted texts from LPs. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Authentication

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3rd international conference on Computing and Communication Networks, ICCCN 2023

3rd International Conference on Computing and Communication ...

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3rd international conference on Computing and Communication Networks, ICCCN 2023

ISBN: (纸本)9789819726707

The proceedings contain 60 papers. The special focus in this conference is on Computing and Communication Networks. The topics include: Enhancing Security in Wireless Sensor Networks: A Broadcast/Multicast Authentication Framework with Identity-Based Signature Schemes;TSFTO: A Two-Stage Fuzzy-Based Tasks Orchestration Algorithm for Edge and Fog Computing Environments;tracking Climatic Variations Through Smart IoT-Driven Approach: An Exploratory analysis;Design and Manufacturing of an Efficient Low-Cost Fire Surveillance System Based on GSM Communications and IoT Technology;a Comparative analysis of Optimized Routing Protocols for High-Performance Mobile Ad Hoc Networks;integrating Sandpiper Optimization Algorithm and Secure Aware Routing Protocol for Efficient Cluster Head Selection in Wireless Sensor Networks;the Effects of Weather Conditions on Data Transmission in Free Space for Wireless Sensor Networks;Using Wireless Sensor Network Performance and Optimizing in Underground Mines with Virtual MIMO Antenna;a Novel Logistic Regression-Based Fire Detection Model Using IoT in Underground Coal Mines;An MQTT IoT Intrusion Detection System Using Deep-Learning;multi-objective Optimal Feature Selection for Cyber Security Integrated with Deep Learning;application of Gradient Boosting Classifier-Based Computational Intelligence to Detect Drug Addiction Threat in Society;insurance 4.0: Smart Insurance Technologies and Challenges Ahead;review on vision Transformer for Satellite Image Classification;primitive Roots and Euler Totient Function-Based Progressive Visual Cryptography;approach for Fire Detection Using Image Processing;review of Various Approaches for Authorship Identification in Digital Forensics;machine Learning Model for Traffic Prediction and pattern Extraction in High-Speed Optical Networks;improved Markov Decision Process in Wireless Sensor Network for Optimal Energy Consumption.

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3rd international conference on Trends in Electronics and Health Informatics, TEHI 2023

3rd International Conference on Trends in Electronics and He...

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3rd international conference on Trends in Electronics and Health Informatics, TEHI 2023

ISBN: (纸本)9789819739363

The proceedings contain 52 papers. The special focus in this conference is on Trends in Electronics and Health Informatics. The topics include: An Effective Combination of Deep and Machine Learning Models for Monkeypox Detection from Dermatographic Image;a Time-Efficient and Effective Image Contrast Enhancement Technique Using Fuzzification and Defuzzification;An Ensemble Machine Learning-Based Approach for Detecting Malicious Websites Using URL Features;The Multi-class Paradigm: How Transformers Are Reshaping Language analysis in NLP;deep Learning Precision Farming: Identification of Bangladeshi-Grown Fruits Using Transfer Learning-Based Detection;Deep Learning Solutions for Detecting Bangla Fake News: A CNN-Based Approach;a Two-Stage Stacking Ensemble Learning for Employee Attrition Prediction;ensemble Learning Approaches for Alzheimer’s Disease Classification in Brain Imaging Data;pseudo-Knighted Cocktail Shaker Sort;sentiment analysis in Twitter Data Using Machine Learning-Based Approach;road Object Detection for Visually Impaired People in Bangladesh;newBreeze: A Comprehensive Solution to a Beginner-Friendly Arch Linux Distribution with Zen Kernel;deep Ensemble Learning Approach for Multimodal Emotion Recognition;Tri Focus Net: A CNN-Based Model with Integrated Attention Modules for Pest and Insect Detection in Agriculture;detection and Classification of Spam Email: A Machine Learning-Based Experimental analysis;predictive Modeling and Early Detection of White Spot Disease in Shrimp Farming Using Machine Learning: A Case Study in Bangladesh;bangla License Plate Detection and Recognition Approach Based on computer vision for Authentic Vehicle Identification;feature Techniques with a Custom Convolutional Model for Breast Tumor Surveillance in Mammograms;An AI-Based Clinical Recommendation System Using Ensemble-Based Soft Voting Classifier;machine Learning-Based Approach to Predict Heart Diseases Using Fused Dataset;an Optimal Feature Selection-Based Approach to P

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3rd international conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2023

3rd International Conference on Intelligent Computing Techni...

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3rd international conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2023

ISBN: (纸本)9789819784639

The proceedings contain 50 papers. The special focus in this conference is on Intelligent Computing Techniques For Smart Energy Systems. The topics include: analysis of Fault and Current-Limiting Methods in the Power System;UDS for Data Communication in Temperature Monitoring;approximation in the Weighted Lipschitz Class by (C,α,θ)(E,q) Mean of Its Fourier Series;demand Response and Load Profile analysis in Modern Electricity Systems;First-Principles Study of the Structural, Optical and Electronic Properties of Zinc Blende GaN Through PBEsol and TB-mBJ Functionals;optimization-Based Cost analysis for Energy Management System in Microgrids;classification and Prediction of Knee Osteoarthritis by Deep Learning Approach;Predicting Stock Price and Market Direction Using Statistical and LSTM Models;Comprehensive Evaluation of Time Management with Balancing Resistors in Passive Cell Balancing Using the 1RC Model;PAWnnect: Pioneering IoT-ML Driven Pet Monitoring;transactive Energy Management for Microgrids: Peer-To-Peer Trading Using Stackelberg Game Approach;Unravelling the Mind's Emotions: A Review of EEG-Based Emotion Detection Using Machine Learning and Deep Learning;unlocking IoT Security: Enabling the Future with Lightweight Cryptographic Ciphers;Optimal Design of Nano Scale Voltage Amplifier Using Evolutionary Techniques for DG-MOSFET;flower patterned with Elliptical Petals Multiband Microstrip Fractal Patch Antenna for Wireless Applications;Optimal Scheduling of Solar PV Generators and Network Assets in Distribution Network;revolutionizing Biomedical Engineering with Microcontroller Applications: A Comprehensive Review;investigation of Battery Temperature Impact on High Voltage Cable of Electric Vehicles;deep Learning Technique for computer vision-Based Pose Estimation for Augmented Reality;Rectangular Shape Patch Antenna with Defected Ground Plane for 5G Sub 6 GHz Wireless Communication Systems.

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3rd international conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2023

3rd International Conference on Intelligent Computing Techni...

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3rd international conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2023

ISBN: (纸本)9789819784288

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3rd international conference on Information Control, Electrical Engineering, and Rail Transit, ICEERT 2023

3rd International Conference on Information Control, Electri...

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3rd international conference on Information Control, Electrical Engineering, and Rail Transit, ICEERT 2023

ISBN: (纸本)9789819788903

The proceedings contain 35 papers. The special focus in this conference is on Information Control, Electrical Engineering, and Rail Transit. The topics include: Simulation analysis and Experimental Verification of the Temperature Field of 110 kV Double-Fracture Disconnect Switch;Research on Electromagnetic Immunity Hardware-In-The-Loop Simulation Test of ADAS in Intelligent Vehicle;the On-Load Simulation Model of Electric Drive System of Electric Vehicle Under Complex Operating Conditions;Parameter Identification of DC Motor Based on Improved Particle Swarm Optimization Algorithm;feasibility Study on Canceling Closing Resistance of 750 kV Short Line Circuit Breaker;application of Commissioning in Power Engineering;application Research on Fault Diagnosis and Treatment of Rotating Machinery in Thermal Power Plants;SOC Estimation for Lithium-Ion Batteries Based on a Class of Nonlinear Kalman Filter Algorithm;Ultra-Short-Term Wind Speed Prediction for Wind Farms Based on GA-LSTM Hybrid Model;studying on Traffic Congestion in Expressway Interchange Diversion Area;research on the Conflict Behavior of Internal and External Container Trucks in Smart Port;estimation of Metro Passenger Capacity Based on Passenger-Train Matching Model;reliability-Oriented Air-Rail Intermodal Transport Connection Planning;research and Evaluation of the Quality of Urban Rail Transit Interchange Operation Systems;study on Passenger Flow Prediction of Intercity Railways in the Beijing-Tianjin-Hebei Region;research on Multi-objective Optimization of China–Europe Liner Shipping Speed Based on Different Carbon Policies;ACC System Design and Simulation Verification of Intelligent Vehicle;research on the Comfort of Civil Aircraft Cabin Ventilation;application of computer vision Recognition in Urban Rail Transit Construction.

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Exploring Transformer-Based Approaches for Hyperspectral Image Classification: A Comparative analysis 3rd

Exploring Transformer-Based Approaches for Hyperspectral Ima...

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3rd international conference on Machine vision and Augmented Intelligence, MAI 2023

作者： Arya, Rajat Kumar Srivastava, Rajeev Department of Computer Science and Engineering Indian Institute of Technology-BHU Varanasi India

ISBN: (纸本)9789819743582

Hyperspectral imaging (HSI) is a technique that captures and analyzes multiple spectral bands for each pixel in an image. Convolutional neural networks (CNNs) effectively extract local features for HSI classification but struggle with capturing sequential spectral signatures. To address this, we conducted a comparative study to assess the performance of transformers, which can handle sequential information, in HSI classification. We reviewed a few models in the literature, analyzing their architecture and performance. Using the Indian Pines dataset, we evaluated models like ViT, SSRN-ViT, SpectralFormer, and Double-ViT. Our results show that Double-ViT models outperform transformers for HSI classification. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Convolutional neural networks

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3rd international conference on Information Control, Electrical Engineering, and Rail Transit, ICEERT 2023

3rd International Conference on Information Control, Electri...

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3rd international conference on Information Control, Electrical Engineering, and Rail Transit, ICEERT 2023

ISBN: (纸本)9789819746194

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Deep Learning for Cognitive Task and Seizure Classification with Hilbert–Huang Transform and Variational Mode Decomposition 3rd

Deep Learning for Cognitive Task and Seizure Classification ...

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3rd international conference on Machine vision and Augmented Intelligence, MAI 2023

作者： Jain, Shraddha Srivastava, Rajeev Department of Computer Science and Engineering Indian Institute of Technology BHU Varanasi India

ISBN: (纸本)9789819743582

Electroencephalography (EEG) signals are often utilized to study cognitive processes and brain diseases. The non-stationary and non-linear nature of EEG signals makes their analysis difficult. A deep learning framework that suggested classifying seizures based on scalp EEG signals and automating cognitive tasks. We use a pre-processing module based on the Hilbert–Huang Transform (HHT) and Variational Mode Decomposition (VMD) to extract features from raw EEG data. We present an approach that combines deep learning with HHT and VMD for rapid and precise seizure detection. Our method detects seizures with an astounding 98.40% accuracy. Our suggested techniques have great potential for quantifying brain wave patterns and advancing neuroscience research, even outside of classification applications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Variational mode decomposition

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