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1st International conference on Advancements in Smart computing and Information Security, ASCIS 2022

1st International Conference on Advancements in Smart Comput...

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1st International conference on Advancements in Smart computing and Information Security, ASCIS 2022

ISBN: (纸本)9783031230912

The proceedings contain 55 papers. The special focus in this conference is on Advancements in Smart computing and Information Security. The topics include: Automation of Rice Leaf Diseases Prediction Using Deep learning Hybrid Model VVIR;a Review Based on machine learning for Feature Selection and Feature Extraction;automating Scorecard and Commentary Based on Umpire Gesture Recognition;rating YouTube Videos: An Improvised and Effective Approach;classification of Tweet on Disaster Management Using Random Forest;Numerical Investigation of Dynamic Stress Distribution in a Railway Embankment Reinforced by Geogrid Based Weak Soil Formation Using Hybrid RNN-EHO;Efficient Intrusion Detection and Classification Using Enhanced MLP Deep learning Model;classification of Medical Datasets Using Optimal Feature Selection Method with Multi-support Vector machine;predicting Students’ Outcomes with Respect to Trust, Perception, and Usefulness of Their Instructors in Academic Help Seeking Using Fuzzy Logic Approach;word Sense Disambiguation for Hindi Language Using Neural Network;automatic Cotton Leaf Disease Classification and Detection by Convolutional Neural Network;analytical Review and Study on Emotion Recognition Strategies Using Multimodal Signals;an Image Performance Against Normal, Grayscale and Color Spaced Images;Study of X Ray Detection Using CNN in machine learning;smart Healthcare Surveillance System Using IoT and machine learning Approaches for Heart Disease;detection of the Affected Area and Classification of Pests Using Convolutional Neural Networks from the Leaf Images;early-Stage Detection Model Using Deep learning algorithms for Parkinson’s Disease Based on Handwriting Patterns;farmright – A Crop Recommendation System;Corn Leaf Disease Detection Using RegNet, KernelPCA and XGBoost Classifier.

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1st International conference on Advancements in Smart computing and Information Security, ASCIS 2022

1st International Conference on Advancements in Smart Comput...

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1st International conference on Advancements in Smart computing and Information Security, ASCIS 2022

ISBN: (纸本)9783031230943

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3rd International conference on Communication, computing and Electronics Systems, ICCCES 2021

3rd International Conference on Communication, Computing and...

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3rd International conference on Communication, computing and Electronics Systems, ICCCES 2021

ISBN: (纸本)9789811688614

The proceedings contain 75 papers. The special focus in this conference is on Communication, computing and Electronics Systems. The topics include: Energy-Efficient Hybrid Secured Routing for 5G Vehicular Ad Hoc Network (VANET);a Study on Recent Advances in Artificial Intelligence and Future Prospects of Attaining Superintelligence;development of Automated Protection and Monitoring System for Poor Railway Infrastructure;a System Design Perspective for Measurement of Parameters Using Different Scatterings Associated with Fibre Optic Sensors;Utilization of machine learning Techniques for Prediction of COVID-19 Epidemic;internet of Things: Security Mechanisms;Performance Analysis of Video Transmission Over OWC-PON in Weak Turbulence Regimes;fish Species Detection Using Deep learning for Industrial Applications;remaining Useful Life Prediction Using machine learning algorithms;dietary Assessment and Nutritional Analysis Using Deep learning;binary and Multiclass Classifications Using a Deep Fusion Network;Image Processing-Based Switching Matrix for PV Array Under Partial Shading Conditions;an Enhanced Approach to Predict Re-occurrences of Breast Cancer Using machine learning;A Review on IOT Response to COVID-19 Pandemic, Challenges and Open Issues;Food Assessment Model for Indian Elderly Persons Using CNN and Image Processing Techniques;changes in Commodity Circulation Channels Based on International Trade E-commerce Platform from computing and Electronics System Perspectives;key Technologies of English Document Grammar Recognition System with Cloud computing and Electronics Systems;machine learning-Based Approach for Depression Detection Using PHQ-9 and Twitter Dataset;systematic Review on Churn Prediction Systems in Telecommunications;generating Recommendations for Various Problems Using Data Mining and machine learning algorithms;music Emotion Recognition Using Neural Networks;preface.

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ICCDE 2022 - 8th International conference on computing and Data Engineering

ICCDE 2022 - 8th International Conference on Computing and D...

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8th International conference on computing and Data Engineering, ICCDE 2022

ISBN: (纸本)9781450395717

The proceedings contain 18 papers. The topics discussed include: high-available cloud platform based on OpenStack;modelling task offloading mobile edge computing;a multi-layer approach for data cleaning in the healthcare domain;development of a Bayesian copula-based spatial-temporal method for multivariate drought risk analysis;monitoring an inversion table back stretching machine using a smartphone accelerometer;multi-path Siamese convolution network for offline handwritten signature verification;error debugging problem in python programming learning assistant system using error debugging method extension blank element selection algorithms;performance evaluation of NFT trading platform based on Hyperledger fabric blockchain;and research on the design and operation mechanism of the opening and sharing platform for scientific and technological resources.

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A machine learning Based Analysis Between Climate Change and Human Health: A Correlational Study 4

A Machine Learning Based Analysis Between Climate Change and...

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4th International conference on Computer and Applications, ICCA 2022

作者： Fahim, Md. Uddin, Md. Ekhtiar Ahmed, Rizve Islam, Md. Rashedul Ahmed, Nadeem Computer Science and Engineering University of Asia Pacific Dhaka Bangladesh

ISBN: (纸本)9781665452946

Climate change has huge impact in human health. Social and environmental determinants of health are affected by climate change. According to World Health Organization (WHO) states that the strokes, most heart diseases, cancers, diabetes, chronic kidney diseases are the top causes of death. Although there are direct factors behind these diseases, climate change could have an invisible role in the rise of these diseases. Researchers are using various technologies to find correlations between climate change and human health, particularly trying to find out which elements of the weather are more responsible. Although there are explicit reasons for the formation of these diseases. But few studies have been conducted on passive factors that have a hidden but serious effect on the formation of these diseases. In this regard, machine learning approach can help us to correlate between the features of climate and various human diseases. Following that, the study uses Pearson, Spearman and Phi-K algorithms to determine the possibilities of correlation between human health and climate change. The research states that Carbon Monoxide (CO) have 98% of correlation and carbon dioxide (CO2) has 95% of correlation with cardiovascular disease (Ca). © 2022 IEEE.

关键词： Climate change

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Proceedings - 2022 2nd International conference in Information and computing Research, iCORE 2022

Proceedings - 2022 2nd International Conference in Informati...

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2nd International conference in Information and computing Research, iCORE 2022

ISBN: (纸本)9798350333909

The proceedings contain 53 papers. The topics discussed include: financial technology applications and client's satisfaction with financial services of Philippine commercial banks;personalization of prosthetics for amputated people using 3D modeling;fish-be-with-you: an augmented reality mobile application about endangered marine species;selecting of pet adopters using c4.5 decision tree model algorithm;sentiment analysis and topic classification of twitter-based data set on the face-to-face classes resumption in the Philippines during the COVID-19 pandemic;research on service evaluation improvement of hot pot restaurants based on data mining;a study on the usability of text analysis on web artifacts for digital forensic investigation;an agent-based modeling and simulation tool for the exploration of the effects of masks and vaccines on COVID-19 spread;hybrid android malware detection model using machine learning algorithms;text-based sentiment analysis of students' satisfaction: an input to strategic plan;a framework for a mobile informative push notification and web application for the office of senior citizens affairs city of Manila;and Eductainment: a gamified learning management system for senior high school subjects with randomized algorithm.

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conference Organization

Conference Organization

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machine learning and computing (ACMLC), asia conference on

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Proceedings of the 12th International conference on Cloud computing and Services Science, CLOSER 2022

Proceedings of the 12th International Conference on Cloud Co...

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12th International conference on Cloud computing and Services Science, CLOSER 2022

ISBN: (纸本)9789897585708

The proceedings contain 32 papers. The topics discussed include: performance of databases used in data stream processing environments;semantic code clone detection method for distributed enterprise systems;analysis and rewrite of quantum workflows: improving the execution of hybrid quantum algorithms;live migration of containers in the edge;offline mining of microservice-based architectures;predicting and avoiding SLA violations of containerized applications using machine learning and elasticity;a novel weight-assignment load balancing algorithm for cloud applications;comparison of FaaS platform performance in private clouds;evaluation of language runtimes in open-source serverless platforms;cloud function lifecycle considerations for portability in function as a service;saga pattern technologies: a criteria-based evaluation;and reconstructing the holistic architecture of microservice systems using static analysis.

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Artificial Neural Network for Predicting a Turbocharged Engine Performance: An Empirical Study

Artificial Neural Network for Predicting a Turbocharged Engi...

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2022 International conference on Edge computing and Applications, ICECAA 2022

作者： Chan, Yew Fai Christopher Yap, Chee WeiAlvin Thang, Ka Fei Soon, ChunMein Tan, Feng Xian Chiong, Meng Soon Rajoo, Srithar UniversitiTeknologi Malaysia Skudai Malaysia Asia Pacific University of Technology and Innovation Kuala Lumpur Malaysia

ISBN: (数字)9781665482325

ISBN: (纸本)9781665482325

Experiments to determine the performance and characteristics of an internal combustion engine related to turbocharger is costly, time intense andcomplex. Besides, it is very difficult to develop an accurate mathematic regression model for engine performance because it involves many independent and dependent variables. Using artificial neural network (ANN), a machine learning model are used to predict the vehicle's engine performance parameters. ANN model aims to minimize the cost and time required for an engine tuning experiment. However, the experimental data from engine tuning experiment is usually small because of its high cost and time intensive. Therefore, this work intent to reduce the optimization process for an ANN model with a small dataset. Optimization of an ANN is critical to prevent the model trapped within a local optimum solution. Systematic methods utilizing modified grid search and random search are suggested in tuning the model's hyperparameters. Moreover, the importance of each optimization steps is ranked based on the analysis of the tuning result. The most optimizedmodel has achieved an overall mean absolute error (MAE) of 4.92% for 7 output parameters. Finally, future works are suggested that can be applied such as building a model for each of the output parameter. © 2022 IEEE.

关键词： Neural networks

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CVMLH-WTEK 2022 - Joint Proceedings of the Workshop on Computer Vision and machine learning for Healthcare and the Workshop on Technological Innovations in Education and Knowledge Dissemination, Co-located with TOOTILL 100 - 6th International conference on computing Sciences, ICCS 2022

CVMLH-WTEK 2022 - Joint Proceedings of the Workshop on Compu...

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Joint 2022 Workshop on Computer Vision and machine learning for Healthcare and the Workshop on Technological Innovations in Education and Knowledge Dissemination, CVMLH-WTEK 2022

The proceedings contain 10 papers. The topics discussed include: human skin disease detection using MLXG model;performance measurement of prostate gland segmentation approaches in transrectal ultrasound and magnetic resonance images;chest x-ray based lung disease detection using convolutional neural network;a classification approach to fetal cardiotocography dataset using R;brain anomalies of MRI segmentation;breast cancer prediction by machine learning algorithms - a comparative study of Naive Bayes, KNN and J48 in Weka environment;various intelligent approaches for classification using CT-scan images: a systematic literature review;emotional intelligence and its relationship with academic stress, in high school students, an approach to the computational model;methodological study on civic attitudes of Spanish-speaking students: middle school level;and the application of artificial intelligence in online teaching tools, appertained during the pandemic period for effective and uninterrupted teaching.

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