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[null,"1.","Record Nr.",null,"UNINA9910627280803321"]
[null,null,"Titolo",null,"Data Management, Analytics and Innovation : Proceedings of ICDMAI 2022 / / edited by Saptarsi Goswami, Inderjit Singh Barara, Amol Goje, C. Mohan, Alfred M. Bruckstein"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"981-19-2600-X"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (715 pages)"]
[null,null,"Collana",null,"Lecture Notes on Data Engineering and Communications Technologies, , 2367-4520 ; ; 137"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Engineering - Data processing"]
[{"$nulls":4},"Quantitative research"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Information retrieval"]
[{"$nulls":4},"Computer architecture"]
[{"$nulls":4},"Artificial intelligence - Data processing"]
[{"$nulls":4},"Data Engineering"]
[{"$nulls":4},"Data Analysis and Big Data"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Data Storage Representation"]
[{"$nulls":4},"Data Science"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Part I: Machine Learning -- Recognizing similar relationships within ontology to fine tune Ontology -- Object Detection using Peak, Balanced Division Point and Shape based Features -- End to End Agile and Automated Machine Learning Framework for Trustworthy, Reliable and Sustainable Artificial Intelligence -- Automated Structured Data Extraction from Scanned Document Images -- Effective Sentiment Analysis of Bengali Corpus by using the Machine Learning approach -- Review on Android Malware Detection System -- Hypothesis Testing of Tweet Text using NLP -- Forecasting Severe Thunderstorm by applying SVM Technique on Cloud imageries -- Breast Cancer Prediction using MachineLearning Techniques -- Ontology-Driven Scientific Literature "]
[{"$nulls":4},"Classification using Clustering and Self-Supervised Learning -- Modeling and forecasting Tuberculosis cases using machine learning and deep learning approaches: A Comparative Study -- Drone Integrated Detection and Rebarbative System with Variable Frequency for Agricultural Farm Invading Animals -- Support Vector Machines and Random Forest Classification models for identification of Stability in Extrusion Film Casting Process -- Predicting CO2 emissions by Vehicles using Machine Learning -- Augmented Feature Generation using Maximum Mutual Information Minimum Correlation -- Impact of Energy Sector on Climate Change in India using Forecasting Models -- Towards Efficient Edge Computing Through Adoption of Reinforcement Learning Strategies: A Review -- Thematic Classification Based On Topological Traits -- Machine Learning based Earthquake Early Warning (EEW) System: A case study of Himalayan Region -- Topic Modelling Based Semantic Search -- Machine Learning based Automated Process for Predicting the Anomaly in AIS Data -- A Hybrid Machine Learning Model for Estimation of Obesity Levels -- Part II: AI & Deep Learning -- Regulations 4.0: Digitally Transforming the Regulatory Space -- Speech To Text for Data Entry - Opportunities and Challenges -- A Gamification Architecture For Online Learning Platform using Neural Network -- Literature Review on Sign Language Generation -- Indoor Navigation Using Augmented Reality -- Foreign object detection on an assembly line -- Inverse Contexture Abstractive Term Frequency Model using Surf Scale Diffusive Neural Network for analysis of fake social content in public forum -- Literature Review on Machine Translation Systems for Sign Language Generation -- Depression Detection from Twitter Data using Two Level Multi-modal Feature Extraction -- COVID-19 Regulations Check: Social Distancing, People Counting and Mask Wear Check -- Urdu & Hindi Poetry Generation using Neural Networks -- Implementation of Open Domain Question Answering System -- Design and Implementation of Surround View Monitoring System in View of Autonomous Vehicle -- Generation of Indian Sign Language Animation from Audio and Video Content using Natural Language Processing -- Histogram Based Initial Centroids Selection for K-Means Clustering -- Siamese Network-based system for criminal identification -- Track-III: Data Storage Management & Innovation -- Organization Network Analysis for study of employee techno-social connects and effect of human behavior and organizational culture on the underlying network -- Track IV: Enabling Technologies & Applications -- Sky Computing Smart Locality Aware approach for Health Analytics -- Citation Biases: Detecting Communities from Patterns of Temporal Variation in Journal Citation Networks -- Enhancing the Performance of Multiple Wi-Fi Network -- ARCaddy: Augmented Reality App Suite for Aircraft Maintenance -- Meditation Therapy for Stress Management Using Brainwave Computing and Real Time Virtual Reality Feedback -- Real Time Carbon Emissions Calculator for Personal Computers -- Track-V: Data Science Techniques for handling Pandemic -- Navigation System for Visually Impaired People -- Design aspects of a Multi-dimensional Hybrid analytical processing system -- A data science approach to evaluate drug effectiveness:Case Study of Remdesivir for Covid-19 patients in India -- A Softcomputing Approach For Predicting And Categorising Learner’s Performance Using Fuzzy Model."]
[null,null,null,"Sommario/riassunto","This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Sixth International Conference on Data Management, Analytics and "]
[{"$nulls":4},"Innovation (ICDMAI 2022), held virtually during January 14–16, 2022. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry."]