| TÃtulo : |
Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics : Second International Conference, ICETCE 2019, Jaipur, India, February 1–2, 2019, Revised Selected Papers / |
| Tipo de documento: |
documento electrónico |
| Autores: |
Somani, Arun K., ; Ramakrishna, Seeram, ; Chaudhary, Anil, ; Choudhary, Chothmal, ; Agarwal, Basant, |
| Mención de edición: |
1 ed. |
| Editorial: |
Singapore [Malasia] : Springer |
| Fecha de publicación: |
2019 |
| Número de páginas: |
XIII, 364 p. 193 ilustraciones, 111 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-981-1383007-- |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Idioma : |
Inglés (eng) |
| Palabras clave: |
Procesamiento de datos Inteligencia artificial Software de la aplicacion IngenierÃa Informática Red de computadoras Visión por computador Protección de datos MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Seguridad de datos e información |
| Clasificación: |
6.312 |
| Resumen: |
Este libro constituye las actas arbitradas de la Segunda Conferencia Internacional sobre TecnologÃas Emergentes en IngenierÃa Informática: Microservicios en Big Data Analytics, ICETCE 2019, celebrada en Jaipur, India, en febrero de 2019. Los 28 artÃculos completos revisados ​​junto con 1 artÃculo breve presentado fueron cuidadosamente revisado y seleccionado entre 253 presentaciones. La conferencia ICETCE tiene como objetivo mostrar tecnologÃas, técnicas, innovaciones y equipos avanzados en ingenierÃa informática. Proporciona una plataforma para que investigadores, académicos, expertos, técnicos, funcionarios gubernamentales y personal de la industria de todo el mundo debatan y compartan sus valiosas ideas y experiencias. |
| Nota de contenido: |
Innovative Mindset -- Design of IoT Blockchain Based Smart Agriculture for Enlightening Safety and Security -- An Efficient and Adaptive Method for Collision Probability of Ships, Icebergs Using CNN and DBSCAN Clustering Algorithm -- Robust Moving Object Detection and Tracking Framework Using Linear Phase FIR Filter -- Advance Persistent Threat Detection Using Long Short Term Memory (LSTM) Neural Networks -- IOT Enabled Machine Learning and Big Data Analytics Based Life Style Diseases: A Survey -- 3D Trajectory Reconstruction Using Color-based Optical Flow and Stereo Vision -- Medical Image Analysis using Deep Learning: A Systematic Literature Review -- Cross-Domain Spam Detection in Social Media: A Survey -- A Comparative Study on k-means Clustering Method and Analysis -- Smart Judiciary System: A Smart Dust based IoT Application -- Performance Evaluation of Tree Ensemble Classification Models Towards Challenges of Big Data Analytics -- The Survival Analysis for Auto-scaling of Cloud ResourceProvisioning -- Rating Prediction by Combining User Interest and Friendly Relationship -- A Comparative Study of Methods for Hiding Large Size Audio File in Smaller Image Carriers -- An Improved SMS based Metering System -- Cervical Cancer Detection using Single Cell and Multiple Cell Histopathologic Images -- IoT Sensor based Alert System for Visually Impaired Persons -- Join Query Optimization using Genetic Ant Colony Optimization Algorithm for Distributed Database -- Solving an Intractable Stochastic Partial Backordering Inventory Problem using Machine Learning -- An Approach to Suggesting Code Smell Order for Refactoring -- Optimal Feature Selection of Technical Indicator and Stock Prediction using Machine Learning Technique -- Using Social Networking Sites: A Qualitative Cross-Cultural Comparison -- POS Tagging and Structural Annotation of Handwritten Text Image Corpus of Devnagari Script -- Automatic Parallelization of C code using OpenMP -- Expert System in Determining the Quality of Fish Guramy Superior Seedlings Using Forward Chaining-Based Websites -- Proactive Cache Placement and Optimal Partitioning in Named Data Networking -- Hybrid Multimodal Medical Image Fusion Algorithms for Astrocytoma Disease Analysis -- Advanced Expert System Using Bees Swarm Optimisation Based Adaptive Network Based Fuzzy Inference System to Diagonse the Physical Constitution of Human Body. |
| Tipo de medio : |
Computadora |
| Summary : |
This book constitutes the refereed proceedings of the Second International Conference on Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics, ICETCE 2019, held in Jaipur, India, in February 2019. The 28 revised full papers along with 1 short paper presented were carefully reviewed and selected from 253 submissions. ICETCE conference aims to showcase advanced technologies, techniques, innovations and equipments in computer engineering. It provides a platform for researchers, scholars, experts, technicians, government officials and industry personnel from all over the world to discuss and share their valuable ideas and experiences. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics : Second International Conference, ICETCE 2019, Jaipur, India, February 1–2, 2019, Revised Selected Papers / [documento electrónico] / Somani, Arun K., ; Ramakrishna, Seeram, ; Chaudhary, Anil, ; Choudhary, Chothmal, ; Agarwal, Basant, . - 1 ed. . - Singapore [Malasia] : Springer, 2019 . - XIII, 364 p. 193 ilustraciones, 111 ilustraciones en color. ISBN : 978-981-1383007-- Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés ( eng)
| Palabras clave: |
Procesamiento de datos Inteligencia artificial Software de la aplicacion IngenierÃa Informática Red de computadoras Visión por computador Protección de datos MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Seguridad de datos e información |
| Clasificación: |
6.312 |
| Resumen: |
Este libro constituye las actas arbitradas de la Segunda Conferencia Internacional sobre TecnologÃas Emergentes en IngenierÃa Informática: Microservicios en Big Data Analytics, ICETCE 2019, celebrada en Jaipur, India, en febrero de 2019. Los 28 artÃculos completos revisados ​​junto con 1 artÃculo breve presentado fueron cuidadosamente revisado y seleccionado entre 253 presentaciones. La conferencia ICETCE tiene como objetivo mostrar tecnologÃas, técnicas, innovaciones y equipos avanzados en ingenierÃa informática. Proporciona una plataforma para que investigadores, académicos, expertos, técnicos, funcionarios gubernamentales y personal de la industria de todo el mundo debatan y compartan sus valiosas ideas y experiencias. |
| Nota de contenido: |
Innovative Mindset -- Design of IoT Blockchain Based Smart Agriculture for Enlightening Safety and Security -- An Efficient and Adaptive Method for Collision Probability of Ships, Icebergs Using CNN and DBSCAN Clustering Algorithm -- Robust Moving Object Detection and Tracking Framework Using Linear Phase FIR Filter -- Advance Persistent Threat Detection Using Long Short Term Memory (LSTM) Neural Networks -- IOT Enabled Machine Learning and Big Data Analytics Based Life Style Diseases: A Survey -- 3D Trajectory Reconstruction Using Color-based Optical Flow and Stereo Vision -- Medical Image Analysis using Deep Learning: A Systematic Literature Review -- Cross-Domain Spam Detection in Social Media: A Survey -- A Comparative Study on k-means Clustering Method and Analysis -- Smart Judiciary System: A Smart Dust based IoT Application -- Performance Evaluation of Tree Ensemble Classification Models Towards Challenges of Big Data Analytics -- The Survival Analysis for Auto-scaling of Cloud ResourceProvisioning -- Rating Prediction by Combining User Interest and Friendly Relationship -- A Comparative Study of Methods for Hiding Large Size Audio File in Smaller Image Carriers -- An Improved SMS based Metering System -- Cervical Cancer Detection using Single Cell and Multiple Cell Histopathologic Images -- IoT Sensor based Alert System for Visually Impaired Persons -- Join Query Optimization using Genetic Ant Colony Optimization Algorithm for Distributed Database -- Solving an Intractable Stochastic Partial Backordering Inventory Problem using Machine Learning -- An Approach to Suggesting Code Smell Order for Refactoring -- Optimal Feature Selection of Technical Indicator and Stock Prediction using Machine Learning Technique -- Using Social Networking Sites: A Qualitative Cross-Cultural Comparison -- POS Tagging and Structural Annotation of Handwritten Text Image Corpus of Devnagari Script -- Automatic Parallelization of C code using OpenMP -- Expert System in Determining the Quality of Fish Guramy Superior Seedlings Using Forward Chaining-Based Websites -- Proactive Cache Placement and Optimal Partitioning in Named Data Networking -- Hybrid Multimodal Medical Image Fusion Algorithms for Astrocytoma Disease Analysis -- Advanced Expert System Using Bees Swarm Optimisation Based Adaptive Network Based Fuzzy Inference System to Diagonse the Physical Constitution of Human Body. |
| Tipo de medio : |
Computadora |
| Summary : |
This book constitutes the refereed proceedings of the Second International Conference on Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics, ICETCE 2019, held in Jaipur, India, in February 2019. The 28 revised full papers along with 1 short paper presented were carefully reviewed and selected from 253 submissions. ICETCE conference aims to showcase advanced technologies, techniques, innovations and equipments in computer engineering. It provides a platform for researchers, scholars, experts, technicians, government officials and industry personnel from all over the world to discuss and share their valuable ideas and experiences. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
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