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检索条件"任意字段=2023 International Conference on Algorithms, Computing and Data Processing, ACDP 2023"

共 6952 条记录，以下是21-30 订阅

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2nd international conference on Security and Information Technologies with AI, Internet computing and Big-data Applications, SITAIBA 2023

2nd International Conference on Security and Information Tec...

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2nd international conference on Security and Information Technologies with AI, Internet computing and Big-data Applications, SITAIBA 2023

ISBN: (纸本)9789819777853

The proceedings contain 46 papers. The special focus in this conference is on Security and Information Technologies with AI. The topics include: Authentication of Image Fidelity in Watermarking-QR-Code Approving Copyright Systems;a Zero-Watermarking Image Scheme in Normalized Cross-Correlation with Robust Copyright Protections;a Novel Approach for Detecting and Analyzing Cyber-Attacks in Cyber-Physical Systems;white-Box Penetration Testing for Hash Collision Attack on Web Applications;towards Zero Trust for Financial Sectors: A Proposed Framework on Trust Evaluation;FiT-DPKI: Decentralized Public Key Infrastructure with Flexibility and Transparency for IoT Networks;Revolutionizing Healthcare: Case Studies of AI algorithms Transforming the Field of Medicine;analysis and Detection of Abnormal Transactions on Ethereum;feasibility Analysis Study on Constructing a Grid Intrusion Detection System Using Semi-supervised Learning Models;Securing NLP Systems: A Comprehensive AI-Based Approach;A New Scheme Modeling Gym Membership Transactions with NFT Systems;A Text to Human-Like Speech Using Tacotron-Based TTS Model;A Novel Malware Classification Using CNN-SVM Deep Learning Method Based on Transfer Learning Architecture;enhancing Project Programming Hour Prediction with Regression Analysis Techniques—A Case Study of Company D;a New Traceable One-Time Address Scheme Secure Against Privilege Escalation Attack;An Object-Based Multi-level Authentication Framework for AR e-Book;a Door Lock System Based on Visual Cryptography;Automatic APT Attack Reconstruction Supporting Lateral Movement;using Open-Source Intelligence to Archive Criminal Organizations;FIDO-Based Access Control Mechanism in Named data Networking;empirical Approach to a Fine-Tuning Using Forgetting in Large Language Models;automatic Wound Segmentation with Deep Convolutional Neural Networks;Prediction of the Prevalence of COVID-19 Using Epidemic Differential Equations and Deep Learning Network.

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4th Annual international conference on data Science, Machine Learning and Blockchain Technology, AICDMB 2023

4th Annual International Conference on Data Science, Machine...

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4th Annual international conference on data Science, Machine Learning and Blockchain Technology, AICDMB 2023

ISBN: (纸本)9781032426853

The proceedings contain 50 papers. The special focus in this conference is on data Science, Machine Learning and Blockchain Technology. The topics include: An unsupervised approach to creating a restaurant recommendation system;Classification of alzheimer’s disease using D-DEMNET framework;comparison of machine learning and deep learning methods for detection of liver abnormality;soil micronutrient detection using machine learning;a review of tracking concept drift detection in machine learning;wearable electrogastrogram perspective for healthcare applications;computer vision based home automation;Early autism detection using ML on behavioural pattern;implementation of application prototypes for human-to-computer interactions;recommendation system for anime using machine learning algorithms;predicting bitcoin price fluctuation by Twitter sentiment analysis;microarchitecture design and verification of co-processor for floating point operation;blockchain based higher education ecosystem;document verification using blockchain;blockchain-based traceability system for readymade food products;a cloud based interactive framework for emergency medical data sharing;the analysis and interpretation of higher education teachers based on student and teachers feedback;Implementing AI on microcontrollers in fog and edge architectures;abnormality detection in chest radiograph using deep learning models;a comprehensive review on hate speech recognition utilizing natural language processing and machine learning;prevalence of migraine among collegiate students in greater Noida;Indoor navigation using BLE beacons;strategic health planner and exercise suggester;perspective of deep learning strategies for analysis of 1D biomedical signals;revolution in agriculture sector using blockchain technology;customer churn prediction using ensemble learning with neural networks;Securing crime case summary and E-FIR using blockchain concept.

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5th EAI international conference on Big data Innovation for Sustainable Cognitive computing, BDCC 2022

5th EAI International Conference on Big Data Innovation for ...

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5th EAI international conference on Big data Innovation for Sustainable Cognitive computing, BDCC 2022

ISBN: (纸本)9783031283239

The proceedings contain 18 papers. The special focus in this conference is on Big data Innovation for Sustainable Cognitive computing. The topics include: A Comparative Analysis of Assignment Problem;a Survey on Memory Assistive Technology for Elderly;An Experimental Investigation on the Emotion Recognition Using Power Spectrum Density and Machine Learning algorithms in EEG Signals;Detection and Classification of Pneumonia and COVID-19 from Chest X-Ray Using Convolutional Neural Network;stopwords Aware Emotion-Based Sentiment Analysis of News Articles;An Empirical Study to Assess the Factors Influencing Banking Customers Toward FINTECH Adoption in Tamil Nadu;driver’s Drowsiness Detection Using SpO2;a Blockchain Framework for Investment Authorities to Manage Assets and Funds;analysis of Metaheuristic algorithms for Optimized Extreme Learning Machines in Various Sectors;metal and Metal Oxide Nanoparticle Image Analysis Using Machine Learning Algorithm;efficient Implementation to Reduce the data Size in Big data Using Classification Algorithm of Machine Learning;tracer for Estimation of the data Changes Delivered and Permalinks;Design and Development of a Smart Home Management System Based on MQTT Incorporated in Mesh Network;novel Machine-Learning-Based Decision Support System for Fraud Prevention;big data Challenges in Retail Sector: Perspective from data Envelopment Analysis;restoration of Ancient Kannada Handwritten Palm Leaf Manuscripts Using Image Enhancement Techniques.

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7th international conference on Soft computing in data Science, SCDS 2023

7th International Conference on Soft Computing in Data Scien...

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7th international conference on Soft computing in data Science, SCDS 2023

ISBN: (纸本)9789819904044

The proceedings contain 21 papers. The special focus in this conference is on Soft computing in data Science. The topics include: Short-Time Fourier Transform with Optimum Window Type and Length: An Application for Sag, Swell and Transient;cox Point Process with Ridge Regularization: A Better Approach for Statistical Modeling of Earthquake Occurrences;discovering Popular Topics of Sarawak Gazette (SaGa) from Twitter Using Deep Learning;Comparison Analysis of LSTM and CNN Variants with Embedding Word Methods for Sentiment Analysis on Food Consumption Behavior;towards Robust Underwater Image Enhancement;a Comparative Study of Machine Learning Classification Models on Customer Behavior data;performance Evaluation of Deep Learning algorithms for Young and Mature Oil Palm Tree Detection;object Detection Based Automated Optical Inspection of Printed Circuit Board Assembly Using Deep Learning;the Characterization of Rainfall data Set Using Persistence Diagram and Its Relation to Extreme Events: Case Study of Three Locations in Kemaman, Terengganu;fault Diagnosis Methods of Deep Convolutional Dynamic Adversarial Networks;Clustering Stock Prices of Industrial and Consumer Sector Companies in Indonesia Using Fuzzy C-Means and Fuzzy C-Medoids Involving ACF and PACF;zero-Inflated Time Series Model for Covid-19 Deaths in Kelantan Malaysia;carbon-Energy Composite Flow for Transferred Multi-searcher Q-Learning Algorithm with Reactive Power Optimization;multi-source Heterogeneous data Fusion Algorithm Based on Federated Learning;dynamic Micro-cluster-Based Streaming data Clustering Method for Anomaly Detection;federated Ensemble Algorithm Based on Deep Neural Network;performance Comparison of Feature Selection Methods for Prediction in Medical data.

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2nd international conference on Signal and data processing, ICSDP 2022

2nd International Conference on Signal and Data Processing, ...

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2nd international conference on Signal and data processing, ICSDP 2022

ISBN: (纸本)9789819914098

The proceedings contain 48 papers. The special focus in this conference is on Signal and data processing. The topics include: Process Mining-Based Behavioral Modeling of Learners in Self-paced Learning Environment;blockchain Scalability: Solutions, Challenges and Future Possibilities;Solution of Unit Commitment Problems in GAMS Computational Environment;taxonomy and Implications of Machine Learning for Internet of Things: Qualities, Uses and algorithms;auto Organizer: A Machine Learning-Based Tool for Automatic Organization of Files;twitter Spam Detection Using Different Machine Learning Techniques;on the Role of Perceptual Information in Image Classification;bengali Text Classification Based on Probability Measure;comprehensive Analysis on the Performance of Antenna Design Using Machine Learning Techniques;design and Analysis of Novel Miniaturized Metamaterial Structures for Multiband Applications;hybrid Particle Swarm Optimization Based Deep Learning Model for the Stage Classification of Lung Cancer;Interference Cancellation by Using Viterbi Algorithm for Space Base AIS System;a Stacked Multichannel Feature Map Based U-Net Model for Brain Tumor Segmentation;spatial Attention Gated U-Net Structure for Capsule Endoscopy Image Super-Resolution;feature Engineering and Selection for the Identification of Fake News in Social Media;early Detection of Pathological Myopia in Fundus Images Using Deep Learning;an Investigation on the Extractive Summarization of Kannada Text;rice Plant Leaf Disease Detection—A Comparison of Various Methodologies;combating Fake News with Machine Learning and Deep Learning Methods;Employing Soft computing-Based GGA-MLP for Hyperparameter Optimization in COVID-19-Infected Lung Image data Classification;Design of Compact UWB MIMO Antenna with High Isolation Using Square Swirl Shape EBG Structure;forecasting with Fuzzy Time Series and Variation.

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12th international conference on Model and data Engineering, MEDI 2023

12th International Conference on Model and Data Engineering,...

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12th international conference on Model and data Engineering, MEDI 2023

ISBN: (纸本)9783031493324

The proceedings contain 27 papers. The special focus in this conference is on Model and data Engineering. The topics include: Social Recommendation Using Deep Auto-encoder and Confidence Aware Sentiment Analysis;deep Learning Based on TensorFlow and Keras for Predictive Monitoring of Business Process Execution Delays;OntoFD: A Generic Social Media Fake News Ontology;Finding a Second Wind: Speeding Up Graph Traversal Queries in RDBMSs Using Column-Oriented processing;ontology Matching Using Multi-head Attention Graph Isomorphism Network;Investigating the Perceived Usability of Entity-Relationship Quality Frameworks for NoSQL databases;fuzzy HealthIoT Ontology for Comorbidity Treatment;advancing Brain Tumor Segmentation via Attention-Based 3D U-Net Architecture and Digital Image processing;breast Cancer Detection Based DenseNet with Attention Model in Mammogram Images;a Formal Metamodel for Software Architectures with Composite Components;AI-LMS: AI-Based Long-Term Monitoring System for Patients in Pandemics: COVID-19 Case Study;cardiovascular Anomaly Detection Using Deep Learning Techniques;real-Time Mitigation of Trust-Related Attacks in Social IoT;hybrid data-Driven and Knowledge-Based Predictive Maintenance Framework in the Context of Industry 4.0;Enhancing Semantic Image Synthesis: A GAN-Based Approach with Multi-Feature Adaptive Denormalization Layer;towards an Effective Attribute-Based Access Control Model for Neo4j;GRU-Based Forecasting Model for Energy Production and Consumption: Leveraging Random Forest Feature Importance;localizing Non-functional Code Bugs in User Interfaces Using Deep Learning Techniques;a Floating-Point Numbers Theory for Event-B;Model-Based Testing Approach for EIP-1559 Ethereum Smart Contracts;execution Planning for Aggregated Search in the Web of data: A Free-Metadata Approach;Discovering Relationships Between Heterogeneous Declarative Mappings for RDF Knowledge Graph;Exploring Synthetic Noise algorithms for Real-World Similar data Gen

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7th international conference on Big data and Cloud computing Challenges, ICBCC 2022

7th International Conference on Big Data and Cloud Computing...

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7th international conference on Big data and Cloud computing Challenges, ICBCC 2022

ISBN: (纸本)9789819910502

The proceedings contain 24 papers. The special focus in this conference is on Big data and Cloud computing Challenges. The topics include: Early Planning of Virtual Machines to Servers in Cloud Server Farms is an Approach for Energy-Efficient Resource Allocation;performance Analysis of Distributed algorithms for Big data Classification;achieving Sustainability by Rectifying Challenges in IoT-Based Smart Cities;framework for Implementation of Smart Driver Assistance System Using Augmented Reality;ioT-Based Mental Health Monitoring System Using Machine Learning Stress Prediction Algorithm in Real-Time Application;fish Feeder System Using Internet of Things;an Efficient and Recoverable Symmetric data Aggregation Approach for Ensuring the Content Privacy of Internet of Things;Implementation and Comparative Analysis of Various Energy-Efficient Clustering Schemes in AODV;secure Web Gateway on Website in Cloud;adaptive End-To-End Network Slicing on 5G Networks;zero Trust Framework in Integrated Cloud Edge IoT Environment;o2Q: Deteriorating Inventory Model with Stock-Dependent Demand Under Trade Credit Policy;embedding (K9-C9)n into Certain Necklace Graphs;Lyrics Generation Using LSTM and RNN;design a Quantum Cryptography Algorithm and Evaluate the Risks of Quantum-Based Nano computing;human Odor Security Using E-nose;automated Road Surveillance System Using Machine Learning;an Artificial Intelligence-Based Technique to Optimize Hybrid Vehicle Using Renewable Energy Sources;stock Market Prediction Using Machine Learning Techniques: A Comparative Study;comparative Study on Different Intrusion Detection datasets Using Machine Learning and Deep Learning algorithms;mitigating Postnatal Depression: A Big data Self-help Therapy.

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1st international conference on data Engineering and Machine Intelligence, ICDEMI 2023

1st International Conference on Data Engineering and Machine...

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1st international conference on data Engineering and Machine Intelligence, ICDEMI 2023

ISBN: (纸本)9789819776153

The proceedings contain 30 papers. The special focus in this conference is on data Engineering and Machine Intelligence. The topics include: Visualization of data for Prediction of Features for Human Eye Complications in Machine Learning Framework;Enhancing DNS and IoT Firewall Rule-Based algorithms and Techniques;a New Modified Extended Incremental Clustering Algorithm to Handle Real-Time Dynamic data;An Innovative Approach to Track Vehicles in Dead Zones Using LoRaWAN;Autonomous System of Heavy Vehicle Using CAN Networking;unveiling Energy Depletion Attacks in Wireless Sensor Network and Defensive Mechanisms;analyzing Urban Air Pollution Using Dimensionality Reduction;exploring Techniques to Safeguard Credit Card Transactions: A Comprehensive Study on Fraud Detection and Prevention;deep Learning for Sentiment Analysis in Social Media: Current Challenges and Future Avenues;image Classifier Using Resource-Constrained Device and Tiny Machine Learning;Real-Time Enhancement of RFID System Identification Range Via Mifare Classic Tag Configuration;Sketch to Face Generation Using GAN for Suspect Identification;noise Removal Technique for Restoration of Medical Images;comparative Analysis of Dynamic data Placement Strategy in Distributed Cloud Environment;A Literature Survey—Application of Image processing for the Effective Diagnosis of Rod Cone Dystrophy Using OCT;SMSecure: Leveraging Machine Learning for Smishing Detection;remote Video Quality Assessment Using Machine Learning;optimization of IoT Devices in Smart Home to Minimize Cost Energy Conservation Based on Human Detector;Detection of Tampered Images with Convolutional Neural Networks (VGG-16);Remote Sensing Image Captioning (RSIC): A Technical Review;Optimization of Path Planning for Automated Vehicles Using SLAM Algorithm.

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6th international conference on Big data Cloud and Internet of Things, BDIoT 2022

6th International Conference on Big Data Cloud and Internet ...

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6th international conference on Big data Cloud and Internet of Things, BDIoT 2022

ISBN: (纸本)9783031283864

The proceedings contain 49 papers. The special focus in this conference is on Big data Cloud and Internet of Things. The topics include: Knowledge Embeddings for Explainable Recommendation;Design of Blended Learning Course Based on SPOC for Primary School Teachers: Case of Soft Skills;the Impact of the Online Flipped Classroom on the Learning Outcomes and Motivation of Nursing Students in Computer Science;digitizing Writing: An Empirical Exploratory Study Towards Students’ Writing Skill Fluency Improvement in ‘Padletosphere’;AraBERT with GANs for High Performance Fine-Grained Dialect Classification;genetic-Novelty Oversampling Technique for Imbalanced data;neural Network for Arabic Text Diacritization on a New dataset;processing Time Performance Analysis of Scheduling algorithms for Virtual Machines Placement in Cloud computing Environment;Business - IT Alignment in Cloud Environment Comparative Study;machine Learning-Based Intrusion Detection System: Review and Taxonomy;reduce Cheating in e-Exams Using Machine Learning: State of the Art;comparative Study of Bayesian Optimization Process for the Best Machine Learning Hyperparameters;The Effect of Normalization and Batch Normalization Layers in CNNs Models: Application to Plant Disease Classifications;the Role of Ground Truth Annotation in Semantic Image Segmentation Performance for Autonomous Driving;fine-Tuning Pre-trained Vision Transformer Model for Anomaly Detection in Video Sequences;An Efficient Real-Time Moroccan Automatic License Plate Recognition System Based on the YOLO Object Detector;evaluation of Selected Machine Learning Models and Features for Electrical Consumption Prediction in Educational Institutions;Credit Card Fraud Detection Using SVM, Decision Tree and Random Forest Supervised Machine Learning algorithms;SNDAE: Self-Normalizing Deep AutoEncoder for Recommendation;Intelligent Evaluation System Using NLP;retrospective Study and Evaluation of School Failure (Junior High School) in Scientific Subj

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Risk Management for Internet Finance Based on Big data

Risk Management for Internet Finance Based on Big Data

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2023 international conference on algorithms, computing and data processing, acdp 2023

作者： Zuo, Zhiyao Xi'an Jiaotong University City College Dept. of Economics Xi'an China

ISBN: (纸本)9798350326680

Today's technology is constantly updated, the combination of the financial and the internet is essential to promote the further development of the finance industry, and to allow the further development of Internet finance, it is needed to pay attention to big data technology. Companies are able to use the massive resources and various platforms inside the Internet and big data statistics to achieve financial behaviors such as increasing financing channels and secure transactions in the financial sector, and financial companies can use the internet to conduct online business and expand their markets. This paper firstly introduces the basic concepts and characteristic of big data and big data risk control, through analyzing the risks faced by internet financial companies in the context of big data and the problems that still exist in the current stage of internet financial risk control, it gives suggestions on the development path of big data risk control in internet finance. Mainly includes: setting up of a long-term working mechanism of internet finance regulation, establishment of a strong technical program, creation of a risk identification and early warning system, transformation of business philosophy and operation mode, creation of a risk identification and early warning system, preparation for new risks that may be triggered by big data. © 2023 IEEE.

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