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检索条件"任意字段=2022 Asia Conference on Algorithms, Computing and Machine Learning, CACML 2022"

共 218 条记录，以下是101-110 订阅

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Examining Effects of Schizophrenia on EEG with Explainable Deep learning Models 22

Examining Effects of Schizophrenia on EEG with Explainable D...

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

作者： Ellis, Charles A. Sattiraju, Abhinav Miller, Robyn Calhoun, Vince Georgia State Univ Georgia Inst Technol Triinst Ctr Translat Res Neuroimaging & Data Sci Atlanta GA 30303 USA Emory Univ Atlanta GA 30322 USA

ISBN: (数字)9781665484879

ISBN: (纸本)9781665484879

Schizophrenia (SZ) is a mental disorder that affects millions of people globally. At this time, diagnosis of SZ is based upon symptoms, which can vary from patient to patient and create difficulty with diagnosis. To address this issue, researchers have begun to look for neurological biomarkers of SZ and develop methods for automated diagnosis. In recent years, several studies have applied deep learning to raw EEG for automated SZ diagnosis. However, the use of raw time-series data makes explainability more difficult than it is for traditional machine learning algorithms trained on manually engineered features. As such, none of these studies have sought to explain their models, which is problematic within a healthcare context where explainability is a critical component. In this study, we apply perturbation-based explainability approaches to gain insight into the spectral and spatial features learned by two distinct deep learning models trained on raw EEG for SZ diagnosis for the first time. We develop convolutional neural network (CNN) and CNN long short-term memory network (CNN-LSTM) architectures. Results show that both models prioritize the T8 and C3 electrodes delta- and gamma-bands, which agrees with previous literature and supports the overall utility of our models. This study represents a step forward in the implementation of deep learning models for clinical SZ diagnosis, and it is our hope that it will inspire the more widespread application of explainability methods for insight into deep learning models trained for SZ diagnosis in the future.

关键词： schizophrenia deep learning diagnosis explainable AI

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2022 IEEE High Performance Extreme computing conference, HPEC 2022

2022 IEEE High Performance Extreme Computing Conference, HPE...

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2022 IEEE High Performance Extreme computing conference, HPEC 2022

ISBN: (纸本)9781665497862

The proceedings contain 90 papers. The topics discussed include: performance estimation for efficient image segmentation training of weather radar algorithms;a high throughput hardware accelerator for FFTW Codelets: a first look;fast: a scalable subgraph matching framework over large graphs;design and implementation of a real-time parallel FFT for a direction-finding system on an FPGA;an evaluation of low overhead time series preprocessing techniques for downstream machine learning;resource-constrained optimizations for synthetic aperture radar on-board image processing;large scale enrichment and statistical cyber characterization of network traffic;and an SSD-based accelerator for singular value decomposition recommendation algorithm on edge.

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Multilevel Ensemble Method to Identify Risks in Chronic Kidney Disease Using Hybrid Synthetic Data 13

Multilevel Ensemble Method to Identify Risks in Chronic Kidn...

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13th International conference on computing Communication and Networking Technologies, ICCCNT 2022

作者： Shouryadhar, Karamsetty Kiran Rao, P. Chatterjee, Subarna Asia University Department of CSE Taichung City Taiwan MS Ramaiah University of Applied Sciences Faculty of Engineering Bangalore India

ISBN: (数字)9781665452625

ISBN: (纸本)9781665452625

This research was conducted with the goals of developing models that have an accurate classification of chronic kidney disease (CKD) and locating significant prognostic factors within a clinical dataset. In chronic kidney disease, accurate classification and identification of major risk factors contribute to improved prognoses and provide assistance to nephrologists. The data source is not balanced enough to serve as a benchmark for any machine learning or deep learning models due to privacy concerns and other factors. As a result, it is difficult to achieve consistent accuracy with an imbalanced dataset, and there will be a variance in results with various machine learning models due to the fact that there are so many different factors involved. A multiple-level ensemble learning system was utilised in the proposed research in order to classify chronic kidney disease using a hybrid synthesised dataset. A hybrid synthesised dataset is one that contains both the original dataset as well as the synthesised data that was produced using the ADASYN method. The most important risk factors for chronic kidney disease are accounted for in the model that was proposed. The F1-score and accuracy were two of the metrics that were utilised in this research. Furthermore, the plot demonstrates that the multilevel ensemble is superior to the conventional machine learning techniques in terms of consistency and accuracy. The variance was calculated using the proposed model by iterating for a total of 150 times, which is a significant reduction when compared to multi-level ensemble techniques using hybrid preprocessed datasets. The accuracy of classifying patients with chronic kidney disease was significantly improved by using a multi-level ensemble. These models and parameters highlight the significance of current health status information in estimating the likelihood of developing kidney disease as well as its progression. © 2022 IEEE.

关键词： learning systems

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Proceedings - 2022 IEEE 8th International conference on Collaboration and Internet computing, CIC 2022

Proceedings - 2022 IEEE 8th International Conference on Coll...

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8th IEEE International conference on Collaboration and Internet computing, CIC 2022

ISBN: (纸本)9781665473002

The proceedings contain 18 papers. The topics discussed include: a survey of mobile edge computing for the metaverse: architectures, applications, and challenges;next generation federated learning for edge devices: an overview;leveraging synergies between AI and networking to build next generation edge networks;the social emotional web;network sheaf models for social information dynamics;entropy-based characterization of influence pathways in traditional and social media;an imperative to assess socio-technical impact of algorithms in online spaces and wresting responsibility from technology companies;cognitive architectures and their applications;and human-machine collaboration for smart decision making: current trends and future opportunities.

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8th International conference on Computers, Management and Mathematical Sciences, ICCM 2022

8th International Conference on Computers, Management and Ma...

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8th International conference on Computers, Management and Mathematical Sciences, ICCM 2022

ISBN: (纸本)9783031511660

The proceedings contain 28 papers. The special focus in this conference is on Computers, Management and Mathematical Sciences. The topics include: Simulation of GA-Based Harmonics Elimination in CHMLI Using DTC for Dynamic Load;Discussing the Future Perspective of machine learning and Artificial Intelligence in COVID-19 Vaccination: A Review;embedded Platform-Based Heart-Lung Sound Separation Using Variational Mode Decomposition;MIMO: Modulation Schemes for Visible Light Communication in Indoor Scenarios;image Resampling Forensics: A Review on Techniques for Image Authentication;the Impact of Perceived Justice and Customer Trust on Customer Loyalty;performance Analysis of Wind Diesel Generation with Three-Phase Fault;C-RPI: Cluster-Based Rendezvous Point Identification and Mobile Sink-Based Data Collection in LR-WPAN;Effect of Weather on the COVID-19 Pandemic in North East India;sentiment Analysis Using Social Media and Product Reviews;a Comparative Study on the Performance of Soft computing Models in the Prediction of Orthopaedic Disease in the Environment of Internet of Things;Maximization of Active Power Delivery in WECS Using BDFRG;Identification and Detection of Credit Card Frauds Using CNN;different Degradation Modes of Field-Deployed Photovoltaic Modules: A Literature Review;impact of Security Attacks on Spectrum Allocation in Cognitive Radio Networks;human Activity Detection Using Attention-Based Deep Network;software Vulnerability Classification Using learning Techniques;service Recovery: Past, Present, and Future;an In-depth Accessibility Analysis of Top Online Shopping Websites;a Stable Model for learningand Memorization in Over-Parameterized Networks;analysis of Depth Sensing and Lane Detection algorithms for Advanced Driver Assistance Systems;implementation of E-Commerce Application with Analytics.

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Proceedings of the 6th International conference on algorithms, computing and Systems, ICACS 2022

Proceedings of the 6th International Conference on Algorithm...

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6th International conference on algorithms, computing and Systems, ICACS 2022

ISBN: (纸本)9781450397407

The proceedings contain 21 papers. The topics discussed include: simulative investigations of crowd evacuation by incorporating reinforcement learning scheme;research on energy consumption prediction method of new public buildings;an adjustable robust two-stage stochastic quadric programming and its solution with subgradient algorithms;a brief survey of quantum architecture search;predicting students’ performance using machine learning algorithms;path planning based on Astar algorithm in automatic driving;research on energy consumption baseline and evaluation algorithm of existing public buildings;a novel procedural content generation algorithm for tower defense games;characterization of graphs based on number of bends in corresponding floor plans;using database schemas of legacy applications for microservices identification: a mapping study;hand and arm gesture-based human-robot interaction: a review;a development of a secure charging system for public electric vehicle charging points;and system optimization of ROS-based open source autonomous driving platform on embedded board environment.

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1st International conference on Computational Intelligence and Smart Communication, ICCISC 2022

1st International Conference on Computational Intelligence a...

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1st International conference on Computational Intelligence and Smart Communication, ICCISC 2022

ISBN: (纸本)9783031229145

The proceedings contain 9 papers. The special focus in this conference is on Computational Intelligence and Smart Communication. The topics include: Analysis of the Performance of Data Mining Classification Algorithm for Diabetes Prediction;Prediction of DDoS Attacks Using machine learning algorithms Based on Classification Technique;role of Internet of Things and Cloud computing in Education System: A Review;an Effective Image Augmentation Approach for Maize Crop Disease Recognition and Classification;Implementation of Artificial Intelligence (AI) in Smart Manufacturing: A Status Review;flight Fare Prediction Using machine learning;impact of Work from Home During Covid-19 on the Socio-economic Status of India.

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2022 International conference on Emerging Smart computing and Informatics, ESCI 2022

2022 International Conference on Emerging Smart Computing an...

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4th IEEE International conference on Emerging Smart computing and Informatics, ESCI 2022

ISBN: (纸本)9781665400732

The proceedings contain 75 papers. The topics discussed include: study of disease identification in pomegranate using leaf detection technique;design of multipliers using reversible logic and Toffoli gates;education and analysis of autistic patients using machine learning;a burgeoning 6g technology and its cloud services;an intelligent framework for crime prediction using behavioral tracking and motion analysis;forecasting diurnal covid-19 cases for top-5 countries using various time-series forecasting algorithms;investigating the role of artificial intelligence in building smart contact on block-chain;empirical study of crop-disease detection and crop-yield analysis systems: a statistical view;modified approach for solving fully fuzzy linear programming problems;deep learning for biometric recognition of children using footprints;gun detection: comparative analysis using transfer learning in single stage detectors;and safeguarding e-healthcare documents utilizing an infrastructure for advanced keyless signature infrastructure blockchain within the cloud.

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2022 International conference on Innovation and Intelligence for Informatics, computing, and Technologies, 3ICT 2022

2022 International Conference on Innovation and Intelligence...

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2022 International conference on Innovation and Intelligence for Informatics, computing, and Technologies, 3ICT 2022

ISBN: (纸本)9781665451932

The proceedings contain 116 papers. The topics discussed include: detection of sesame disease using a stepwise deep learning approach;application of industrialized building system in the field of construction toward sustainability: future routes and a theoretical mapping;scheduling household appliances using genetic algorithms;empirical study for improving project allocation on freelancing platform;an estimation of the multidimensional energy poverty index in Pakistan;machine learning and big data based ids system extensive survey;damage assessment and recovery in fog-based computing systems;trust-aware security system for dynamic southbound communication in software defined network;an efficient approach to reduce the encryption and decryption time based on the concept of unique values;reconfigurable cyber-security architecture for small satellite with low complexity and power;developing modern agent technologies in combating COVID-19 exposure: an application in a healthcare facility;ease of access to healthcare services : developing a telehealth application prototype;and polymer optic fibers: potential of development and application in networks.

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Proceedings - 2022 4th International conference on Advances in computing, Communication Control and Networking, ICAC3N 2022

Proceedings - 2022 4th International Conference on Advances ...

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4th International conference on Advances in computing, Communication Control and Networking, ICAC3N 2022

ISBN: (纸本)9781665474368

The proceedings contain 441 papers. The topics discussed include: optical character recognition system with projection profile based segmentation and deep learning techniques;design and implementation: a review of payroll management system;a novel approach for brain tumor segmentation using convolutional neural network;semantic knowledge base ontology framework for discovery stage of the design thinking using web ontology language;a bagging algorithmic approach for prediction of school student performance;analyzing the behavioral artifacts for malicious software detection using machine learning algorithms;hybrid model for detection of frauds in credit cards;semantic-web approach for building classification of nature’s knowledge-based using web-ontology language;bug recognition using hybrid fuzzy logic algorithm and support vector machine classification;a study of autoregressive model using time series analysis through Python;and semantic approach for the classification of knowledge representation and reasoning analysis.

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