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1st EAI International conference on Intelligent Systems and machine learning, ICISML 2022

1st EAI International Conference on Intelligent Systems and ...

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1st EAI International conference on Intelligent Systems and machine learning, ICISML 2022

ISBN: (纸本)9783031350801

The proceedings contain 75 papers. The special focus in this conference is on Intelligent Systems and machine learning. The topics include: Mining Ancient Medicine Texts Towards an Ontology of Remedies – A Semi-automatic Approach;a Novel Oversampling Technique for Imbalanced Credit Scoring Datasets;a Blockchain Enabled Medical Tourism Ecosystem;Measuring the Impact of Oil Revenues on Government Debt in Selected Countries by Using ARDL Model;diagnosis of Plant Diseases by Image Processing Model for Sustainable Solutions;face Mask Detection: An Application of Artificial Intelligence;a Critical Review of Faults in Cloud computing: Types, Detection, and Mitigation Schemes;video Content Analysis Using Deep learning Methods;prediction of Cochlear Disorders Using Face Tilt Estimation and Audiology Data;F2PMSMD: Design of a Fusion Model to Identify Fake Profiles from Multimodal Social Media Datasets;quantum Data Management and Quantum machine learning for Data Management: State-of-the-Art and Open Challenges;multivariate Analysis and Comparison of machine learning algorithms: A Case Study of Cereals of America;competitive Programming Vestige Using machine learning;machine learning Techniques for Aspect Analysis of Employee Attrition;AI-Enabled Automation Solution for Utilization Management in Healthcare Insurance;Real-Time Identification of Medical Equipment Using Deep CNN and Computer Vision;design of a Intelligent Crutch Tool for Elders;an Approach to New Technical Solutions in Resource Allocation Based on Artificial Intelligence;gesture Controlled Power Window Using Deep learning;novel Deep learning Techniques to Design the Model and Predict Facial Expression, Gender, and Age Recognition;a Novel Model to Predict the Whack of Pandemics on the International Rankings of Academia.

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Receding-Constraint Model Predictive Control using a Learned Approximate Control-Invariant Set

Receding-Constraint Model Predictive Control using a Learned...

引用

IEEE International conference on Robotics and Automation (ICRA)

作者： Lunardi, Gianni La Rocca, asia Saveriano, Matteo Del Prete, Andrea Univ Trento Ind Engn Dept Via Sommarive 11 I-38123 Trento Italy

ISBN: (纸本)9798350384581;9798350384574

In recent years, advanced model-based and data-driven control methods are unlocking the potential of complex robotics systems, and we can expect this trend to continue at an exponential rate in the near future. However, ensuring safety with these advanced control methods remains a challenge. A well-known tool to make controllers (either Model Predictive Controllers or Reinforcement learning policies) safe, is the so-called control-invariant set (a.k.a. safe set). Unfortunately, for nonlinear systems, such a set cannot be exactly computed in general. Numerical algorithms exist for computing approximate control-invariant sets, but classic theoretic control methods break down if the set is not exact. This paper presents our recent efforts to address this issue. We present a novel Model Predictive Control scheme that can guarantee recursive feasibility and/or safety under weaker assumptions than classic methods. In particular, recursive feasibility is guaranteed by making the safe-set constraint move backward over the horizon, and assuming that such set satisfies a condition that is weaker than control invariance. Safety is instead guaranteed under an even weaker assumption on the safe set, triggering a safe task-abortion strategy whenever a risk of constraint violation is detected. We evaluated our approach on a simulated robot manipulator, empirically demonstrating that it leads to less constraint violations than state-of-the-art approaches, while retaining reasonable performance in terms of tracking cost, number of completed tasks, and computation time.

关键词： Predictive control systems

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2022 1st International conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2022

2022 1st International Conference on Electrical, Electronics...

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1st International conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2022

ISBN: (纸本)9781665436472

The proceedings contain 198 papers. The topics discussed include: an enhanced and highly authenticated medical treatment for an emergency management system using cloud computing;application of Pythagorean fuzzy rough cosine similarity measuring MCDM problem for buying induction motor;achievement expedients of fuzzy queuing models with an unreliable electrical transformer;a comparison of machine learning algorithms for osteoporosis prediction;packet transmission using radio access protocol for intra-cluster communications in mobile ad hoc networks;transfer learning with deep representations is used to recognition yoga postures;an optimized technique for a sapid motor pooling tariff forecasting system;analysis on the development of cloud security using privacy attribute data sharing;and a semantic approach for computing speech emotion text classification using machine learning algorithms.

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2022 IEEE 12th Annual computing and Communication Workshop and conference, CCWC 2022

2022 IEEE 12th Annual Computing and Communication Workshop a...

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12th IEEE Annual computing and Communication Workshop and conference, CCWC 2022

ISBN: (纸本)9781665483032

The proceedings contain 174 papers. The topics discussed include: robust supervisory control for cyber-physical systems based on discrete timed petri nets;email phishing detection based on naïve bayes, random forests, and SVM classifications: a comparative study;space selection and abstraction in set theoretic estimation;coherence of hand muscles during activities of daily living;development of an IoT based health monitoring system for e-health;electricity consumption prediction model for southern Luzon State University - main campus using artificial neural network;automated feature reduction in machine learning;predicting the outcome of soccer matches using machine learning and statistical analysis;and classification of stroke victims through supervised machine learning algorithms and ensemble learning.

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Automated machine learning-based radiomics analysis versus deep learning-based classification for thyroid nodule on ultrasound images: a multi-center study 22

Automated machine learning-based radiomics analysis versus d...

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IEEE 22nd International conference on Bioinformatics and Bioengineering (BIBE)

作者： Liu, Zelong Deyer, Louisa Yang, Arnold Liu, Steven Gong, Jingqi Yang, Yang Huang, Mingqian Doshi, Amish Lu, Meng Lee, Denise Deyer, Timothy Mei, Xueyan Icahn Sch Med Mt Sinai New York NY 10029 USA Dwight Sch New York NY USA Westview High Sch Portland OR USA NYU New York NY USA Mt Sinai Hosp New York NY 10029 USA Univ Massachusetts Boston MA 02125 USA Cornell Med East River Med Imaging New York NY USA

ISBN: (数字)9781665484879

ISBN: (纸本)9781665484879

Often, the characteristics of thyroid nodules need to be determined by fine needle aspiration (FNA) biopsy. The increasing applications of machine learning and deep learning algorithms provide alternative noninvasive methods to study thyroid nodules on ultrasound images. Many studies examined the feasibility of convolutional neural networks or radiomics feature extraction to analyze the characteristics of thyroid nodules. In this study, we built an automated radiomics analysis system by combining thyroid segmentation via U-Net and radiomics feature extraction. Our proposed machine learning-based automated radiomics analysis was compared to a deep learning-based convolutional neural network method in a two-center thyroid nodule classification task. It is shown that the automated radiomics analysis can accurately segment thyroid nodules to facilitate clinical diagnosis by achieving dice scores of 0.77 and 0.74 on internal and external sets respectively. In addition, the proposed automated radiomics analysis approach can improve sensitivity, negative predictive value (NPV) and positive predictive value (PPV) by 41.2%, 3.5% and 7.5% respectively, while reducing the false negative rate by 41.1%.

关键词： radiomics thyroid nodule deep learning ultrasound radimagenet

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International conference on Advances and Applications of Artificial Intelligence and machine learning, ICAAAIML 2022

International Conference on Advances and Applications of Art...

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International conference on Advances and Applications of Artificial Intelligence and machine learning, ICAAAIML 2022

ISBN: (纸本)9789819959730

The proceedings contain 63 papers. The special focus in this conference is on Advances and Applications of Artificial Intelligence and machine learning. The topics include: Towards Helping Visually Impaired People to Navigate Outdoor;an Analysis of Deployment Challenges for Kubernetes: A NextGen Virtualization;development of Big Data Dimensionality Reduction Methods for Effective Data Transmission and Feature Enhancement algorithms;a New Task Offloading Scheme for Geospatial Fog computing Environment Using M/M/C Queueing Approach;face Recognition Using Deep Neural Network with MobileNetV3-Large;detection of BotNet Using Extreme learning machine Tuned by Enhanced Sine Cosine Algorithm;Cloud Services Management Using LSTM-RNN;detection of Various Types of Thyroid-Related Disease Using machine learning;Implementation of WSN in the Smart Hanger to Facilitate MRO Operations on Aircraft Fuselage Using machine learning;wi-Fi Controlled Smart Robot for Objects Tracking and Counting;Speech Recognition for Kannada Using LSTM;computer Vision-Based Smart Helmet with Voice Assistant for Increasing Driver Safety;predicting Aging Related Bugs with Automated Feature Selection Techniques in Cloud Oriented Softwares;indianFood-7: Detecting Indian Food Items Using Deep learning-Based Computer Vision;Time Series Analysis of Crypto Currency Using ARIMAX;a machine learning Approach Towards Prediction of User’s Responsiveness to Notifications with Best Device Identification for Notification Delivery;real-Time Full Body Tracking for Life-Size Telepresence;solar Power Generation Forecasting Using Deep learning;applications of Big Five Personality Test in Job Performance;local Mean Decomposition Based Epileptic Seizure Classification Using Ensemble machine learning;an Equilibrium Optimizer-Based Ensemble for Aspect-Level Sentiment Classification;malware Detection Using Big Data and Deep learning;radon Transformation-Based Mammogram Image Classification.

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Proceedings - 2022 International conference on machine learning, Cloud computing and Intelligent Mining, MLCCIM 2022

Proceedings - 2022 International Conference on Machine Learn...

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2022 International conference on machine learning, Cloud computing and Intelligent Mining, MLCCIM 2022

ISBN: (纸本)9781665498586

The proceedings contain 86 papers. The topics discussed include: bandwidth resources prediction for dynamic networking slicing based on time series analysis;optimal design of resource discovery-allocation- transmission-offloading strategy in mobile edge computing;entity recognition of power fault disposal based on attention model;traffic flow prediction based on spatio-temporal attention block;an adaptive plotting method for large-scale symbols;multi-hop question answering model based on Chinese open domain knowledge graph;real-time medical electronic data mining based on shapelet pattern recognition;mining hub nodes based on fast Brandes betweenness centrality in a weighted complex transportation network;application of computer intelligent data mining in quantitative analysis of interior space design;evaluation method based on random forests for empirical algorithms of penetration effects;and a joint model based on prior knowledge for war research report information extraction.

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Proceedings of the 2022 International conference on Innovative computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022

Proceedings of the 2022 International Conference on Innovati...

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2022 International conference on Innovative computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022

ISBN: (纸本)9781665474139

The proceedings contain 219 papers. The topics discussed include: security issues in blockchain integrated WSN: challenges and concerns;an intelligent stacking ensemble-based machine learning model for heart abnormality;maximize the production process by using a novel hybrid model to predict the failure of machine;fall detection and activity recognition using hybrid convolution neural network and extreme gradient boosting classifier;strong and stable data communication using artificial intelligence method in mobile ad-hoc networks;blockchain industry 5.0: next generation smart contract and decentralized application platform;application of neural network in the prediction models of machine learning based design;brain tumor segmentation and survival prediction using multimodal MRI scans with deep learning algorithms;efficient integrity checking and secured data sharing in cloud;multimodal feature selection for android malware detection classifiers;intelligent face mask and body temperature detection system using machine learning algorithm;application of self-adaptive biogeography based optimization to economic load dispatch problems;and spotting web attack in IoT networks using ensemble deep learning technique.

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7th International conference on computing inEngineering and Technology, ICCET 2022

7th International Conference on Computing inEngineering and ...

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7th International conference on computing in Engineering and Technology, ICCET 2022

ISBN: (纸本)9781839537042

The proceedings contain 65 papers. The topics discussed include: enhancing sentiment analysis performance with blend of features and deep learning algorithms;a deep learning based approach for mask detection;breast cancer detection using optimized hidden convolutional neural network;plant disease detection and management using deep learning approach;remote sensing image fusion using machine learning and deep learning: a systematic review;smart tour advisor using machine learning and natural language processing;image analysis using convolutional neural network to detect bird species;secure image watermarking using MLDWT and SVD for secure medical data transmission model in healthcare systems;and automatic detection of tuberculosis with the help of image processing and machine learning classifier.

关键词： Image fusion

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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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