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6th EAI international conference on Advanced Hybrid Information Processing, ADHIP 2022

6th EAI International Conference on Advanced Hybrid Informat...

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6th EAI international conference on Advanced Hybrid Information Processing, ADHIP 2022

ISBN: (纸本)9783031287862

the proceedings contain 109 papers. the special focus in this conference is on Advanced Hybrid Information Processing. the topics include: Design of Remote Video Surveillance System Based on Cloud Computing;physical Movement Monitoring Method of College Physical Education Students Based on Genetic Algorithm;research on Large data mining for Online Education of Mobile Terminal Based on Block Chain Technology;Separation Algorithm of Fixed Wing UAV Positioning Signal Based on AI;research on Hybrid Maintenance Cost Prediction of Smart Grid Based on Multi-dimensional Information;infrared Image Face recognition Method Based on Signal Interference Technology;remote Tutoring System of Ideological and Political Course Based on Mobile Client;operational Risk Prevention and Control Monitoring of Smart Financial System Based on Deep learning;remote Monitoring Method of Athlete Training Intensity Based on Mobile Internet of things;research on Equipment Management System of Smart Hospital Based on data Visualization;Design of Pond Water Quality Monitoring System Based on Mobile UAV Technology;Design of Information Consultation System for the Whole Process of Construction Engineering Based on BIM Technology;the Mobile Teaching Method of Law Course Based on Wireless Communication Technology;design of Financial and Economic Monitoring System Based on Big data Clustering;recommendation Method of College English Online Mobile Teaching Resources Based on Big data mining Algorithm;Design of Electronic Communication Power Monitoring System Based on GPRS Technology;online Interactive Platform for College English Intensive Reading Teaching Based on Cloud Service;intelligent Platform for College English Blended Teaching Based on Mobile learning;preface.

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6th international conference on Intelligent Computing and Optimization, ICO 2023

6th International Conference on Intelligent Computing and Op...

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6th international conference on Intelligent Computing and Optimization, ICO 2023

ISBN: (纸本)9783031501579

the proceedings contain 32 papers. the special focus in this conference is on Intelligent Computing and Optimization. the topics include: machine learning-Based Predictive Modelling of Spot-Welding Process Parameters;Robust Vehicle Speed Estimation Based on Vision Sensor Using YOLOv5 and DeepSORT;automatic Alignment of Aerospace Images Based on the Search for Characteristic Points;method for Plant Leaves Square Area Estimation Based on Digital Image Analysis;digital Revolution through Computational Intelligence: Innovative Applications and Trends;compressive Sensing and Orthogonal Matching Pursuit-Based Approach for Image Compression and Reconstruction;capabilities for Digital Transformation and Sustainability in an Emerging Economy;preface;digitally-Enabled Dynamic Capabilities for Digital Transformation;Non-invasive Glucose Measurement with 940 nm Sensor Using Short Wave NIR Technique;managing the Purchase-Sale Process of Digital Currencies Under Fuzzy Conditions;a Comparative Analysis of the Impacts of Traditional and Digital Billing Methods;chest X-ray Image Classification Using Convolutional Neural Network to Identify Tuberculosis;digital Wireless Mini-transduce of Plant thermoregulation;effective Fault Prediction Techniques for the Green Cloud Computing Environment Applying machine learning to Enhance Network Management;transforming the Financial Industry through machine and Deep learning Innovations;MRI-Based Brain Tumor Classification Using Various Deep learning Convolutional Networks and CNN;deciphering Handwritten Text: A Convolutional Neural Network Framework for Handwritten Character recognition;applying machine learning Techniques to Forecast Demand in a South African Fast-Moving Consumer Goods Company;Digitization of Feeding Processes in Pond Aquaculture Using a Cyber-Physical System for Analyzing Monitoring data and Transmitting Information Using LoRaWAN Technology;Rice Blast Disease Detection Using CNN Models and DCGAN.

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6th international conference on Intelligent Computing and Optimization, ICO 2023

6th International Conference on Intelligent Computing and Op...

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6th international conference on Intelligent Computing and Optimization, ICO 2023

ISBN: (纸本)9783031503290

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6th international conference on Intelligent Computing and Optimization, ICO 2023

6th International Conference on Intelligent Computing and Op...

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6th international conference on Intelligent Computing and Optimization, ICO 2023

ISBN: (纸本)9783031503269

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Study on Incident Detection and Management of Vehicular OBD data on Blockchain 6

Study on Incident Detection and Management of Vehicular OBD ...

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6th international conference on Computing Methodologies and Communication, ICCMC 2022

作者： Raghesh Kumar, I.P. Varghese, Rithin Nagesh, Nandu Sasidharan, Vyshnav Philip, Abin Oommen Toc H Institute of Technology Department of Computer Science and Engineering India

ISBN: (纸本)9781665410281

A majority of the research on accident detection systems involves increasing the precision at which it can be detected. this approach proposes a test-bed for a vehicular incident detection system that uses real time data collected from OBD -II port of automobiles and later passed on to Edge devices within vehicles to detect an accident or other rash driving behavior patterns. machine learning algorithms are developed and deployed onto edge devices like Jetsonnano for real time pattern recognition. Once an incident like accident or rash driving is triggered, the data is cached and written onto Inter Planetary File Systems (IPFS) a distributed file storage system and put onto Ethereum Blockchain for later analysis and documentation by various stakeholders like police, RTO, law, forensic team etc. Blockchain acts as an immutable ledger providing proof of all incidents. Further using the obtained data, dashboards of the incident can be generated for further visualization and understandability to the concerned stakeholder © 2022 IEEE.

关键词： Smart contract

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6th international conference on Intelligent Computing and Optimization, ICO 2023

6th International Conference on Intelligent Computing and Op...

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6th international conference on Intelligent Computing and Optimization, ICO 2023

ISBN: (纸本)9783031362453

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6th international conference on Computational Intelligence in data mining, ICCIDM 2021

6th International Conference on Computational Intelligence i...

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6th international conference on Computational Intelligence in data mining, ICCIDM 2021

ISBN: (纸本)9789811694462

the proceedings contain 56 papers. the special focus in this conference is on Computational Intelligence in data mining. the topics include: Topic Evolution Model for Interactive Information Search;A Novel Automated Human Face recognition and Temperature Detection System Using Deep Neural Networks—FRTDS;A Novel BFS and CCDS-Based Efficient Sleep Scheduling Algorithm for WSN;face recognition: A Review and Analysis;COVID-19 Time Series Prediction and Lockdown Effectiveness;Performance Evaluation of Electrogastrogram (EGG) Signal Compression for Telemedicine Using Various Wavelet Transform;the Impact of UV-C Treatment on Fruits and Vegetables for Quality and Shelf Life Improvement Using Internet of things;modeling and Forecasting Stock Closing Prices with Hybrid Functional Link Artificial Neural Network;sentiment Analysis: A Recent Survey with Applications and a Proposed Ensemble Algorithm;whale Optimization Algorithm Based Optimal Power Flow to Reduce Generation Cost;an Artificial Electric Field Algorithm and Artificial Neural Network-Based Hybrid Model for Software Reliability Prediction;disaster Event Detection from Text: A Survey;context-Adaptive Content-Based Filtering Recommender System Based on Weighted Implicit Rating Approach;a Deep learning-Based Classifier for Remote Sensing Images;performance Evaluation of machine learning Algorithms to Predict Breast Cancer;topology Dependent Ant Colony-Based Routing Scheme for Software-Defined Networking in Cloud;on Computational Complexity of Transfer learning Approaches in Facial Analysis;adaptive Classifier Using Extreme learning machine for Classifying Twitter data Streams;decision Making on Covid-19 Containment Zones’ Lockdown Exit Process Using Fuzzy Soft Set Model;An Automated System for Facial Mask Detection and Social Distancing during COVID-19 Pandemic;Investigating the Impact of COVID-19 on Important Economic Indicators.

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ICISDM 2022 - 2022 6th international conference on Information System and data mining

ICISDM 2022 - 2022 6th International Conference on Informati...

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6th international conference on Information System and data mining, ICISDM 2022

ISBN: (纸本)9781450396257

the proceedings contain 21 papers. the topics discussed include: clustering faster and better with projected data;docker container based crowd control analysis using dask hadoop framework;Kaiser-Meyer-Olkin factor analysis: a quantitative approach on mobile gaming addiction using random forest classifier;long short-term memory for bitcoin price prediction;link prediction with simple graph convolution and regularized simple graph convolution;a framework for exploring computational models of novelty in unstructured text;access control using blockchain: a taxonomy and review;traffic sign recognition with vision transformers;traffic sign recognition based on deep learning technique;and a nonsynaptic memory based neural network for hand-written digit classification using an explainable feature extraction method.

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Short-Term Load Forecasting Method of Power Distribution Station Area Integrating Multiple Temporal Characteristics 6

Short-Term Load Forecasting Method of Power Distribution Sta...

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6th international conference on machine learning and machine Intelligence, MLMI 2023

作者： Hu, Hailin Yan, Li Data Center State Grid Shandong Electric Power Company Information and Telecommunication Company China

ISBN: (纸本)9798400709456

In order to solve the problem of short term power load forecasting and improve the accuracy of load forecasting in distribution station area, a short term power load forecasting model integrating multiple temporal series characteristics is proposed in this paper. Firstly, we solve the problems of missing and outliers in acquired load and weather data through data preprocessing. then, we consider the historical load, weather, working day/holiday and other factors, then explore the long-short term, periodicity and particularity of the load and weather information. After that, we establish the short-Term power load prediction feature model of the platform area. In addition, we use the deep residual network as the basic structure to eliminate the overfitting problem caused by the deep network. Experiments show that the proposed method has smaller prediction error compared with the existing methods. © 2023 ACM.

关键词： Electric power plant loads

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machine learning Techniques for pattern recognition in High-Dimensional data mining

Machine Learning Techniques for Pattern Recognition in High-...

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Electronic Information Engineering and Computer Communication (EIECC), international conference on

作者： Pochun Li Northeastern University Boston USA

ISBN: (数字)9798331534622

ISBN: (纸本)9798331534639

this paper proposes a frequent pattern data mining algorithm based on support vector machine (SVM), aiming to solve the performance bottleneck of traditional frequent pattern mining algorithms in high-dimensional and sparse data environments. By converting the frequent pattern mining task into a classification problem, the SVM model is introduced to improve the accuracy and robustness of pattern extraction. In terms of method design, the kernel function is used to map the data to a high-dimensional feature space, so as to construct the optimal classification hyperplane, realize the nonlinear separation of patterns and the accurate mining of frequent items. In the experiment, two public datasets, Retail and Mushroom, were selected to compare and analyze the proposed algorithm with traditional FP-Growth, FP-Tree, decision tree and random forest models. the experimental results show that the algorithm in this paper is significantly better than the traditional model in terms of three key indicators: support, confidence and lift, showing strong pattern recognition ability and rule extraction effect. the study shows that the SVM model has excellent performance advantages in an environment with high data sparsity and a large number of transactions, and can effectively cope with complex pattern mining tasks. At the same time, this paper also points out the potential direction of future research, including the introduction of deep learning and ensemble learning frameworks to further improve the scalability and adaptability of the algorithm. this research not only provides a new idea for frequent pattern mining, but also provides important technical support for solving pattern discovery and association rule mining problems in practical applications.

关键词： Support vector machines Deep learning machine learning algorithms Accuracy Scalability Robustness Classification algorithms Association rule learning data mining Random forests

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