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Record Nr. |
UNINA9910350218203321 |
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Titolo |
Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics : Second International Conference, ICETCE 2019, Jaipur, India, February 1–2, 2019, Revised Selected Papers / / edited by Arun K. Somani, Seeram Ramakrishna, Anil Chaudhary, Chothmal Choudhary, Basant Agarwal |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (xiii, 364 pages) : illustrations |
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Collana |
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Communications in Computer and Information Science, , 1865-0929 ; ; 985 |
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Disciplina |
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Soggetti |
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Data mining |
Artificial intelligence |
Application software |
Computer organization |
Optical data processing |
Computer security |
Data Mining and Knowledge Discovery |
Artificial Intelligence |
Information Systems Applications (incl. Internet) |
Computer Systems Organization and Communication Networks |
Image Processing and Computer Vision |
Systems and Data Security |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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 |
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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 Resource Provisioning -- 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. |
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Sommario/riassunto |
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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. |
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