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Ad Hoc Networks : A Statistical Perspective / / by Jyoti Prakash Singh, Paramartha Dutta, Amlan Chakrabarti
| Ad Hoc Networks : A Statistical Perspective / / by Jyoti Prakash Singh, Paramartha Dutta, Amlan Chakrabarti |
| Autore | Singh Jyoti Prakash |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (136 pages) |
| Disciplina | 004.68 |
| Soggetto topico |
Electrical engineering
Computer communication systems Mobile computing Communications Engineering, Networks Computer Communication Networks Mobile Computing |
| ISBN | 981-10-8770-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Time series Analysis -- Preliminaries -- Neighbor Counts Modelling -- Link Load Modelling -- Path Length Modelling -- Clustering Modelling -- Delay Modelling and Prediction -- Conclusion and Perspective -- References -- Index. |
| Record Nr. | UNINA-9910299926103321 |
Singh Jyoti Prakash
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Computing Applications / / edited by Amlan Chakrabarti, Neha Sharma, Valentina Emilia Balas
| Advances in Computing Applications / / edited by Amlan Chakrabarti, Neha Sharma, Valentina Emilia Balas |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (290 pages) |
| Disciplina | 004 |
| Soggetto topico |
Computers
Optical data processing Management information systems Computer science Information Systems and Communication Service Computer Imaging, Vision, Pattern Recognition and Graphics Management of Computing and Information Systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Wait Event Tuning in Database Engine -- 2. Machine Learning using k-Nearest Neighbor for Library Resources Classification in Agent based Library Recommender System -- 3. An Efficient Dynamic Scheduling of Tasks for Multi-Core Real Time Systems -- 4. Model based approach for Shadow Detection of Static Images -- 5. Light Fidelity (Li-Fi): In Mobile Communication and Ubiquitous Computing Applications -- 6. Performance Analysis of De Noising Filters MR Images -- 7. A Detailed View on SecureString 3.0 -- 8. Performance Comparison for EMD based Classification of Unstructured Acoustic Environments using GMM and K-NN Classifiers -- 9. Performance of Multimodal Biometric System Based on Level and Method of Fusion -- 10. A DSK based Authentication Technique for Secure Smart Grid Wireless Communication -- 11. A Smart Security Framework for High Risk Locations Using Wireless Authentication by Smart Phone -- 12. High Performance Computation Analysis for Medical Images using High Computational Methods -- 13. Terrorist Scanner Radar and Multiple Object Detection System -- 14. Inexact Implementation of Wavelet Transform and its Performance Evaluation through Bit Width Reduction -- 15. A Vulnerability Analysis Mechanism Utilizing Avalanche Attack Model for Dependency Based Systems -- 16. Performance of Statistical and Neural Network Method for Prediction of Survival of Oral Cancer Patients. |
| Record Nr. | UNINA-9910160700103321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Data Science and Computing Technologies : Select Proceedings of ADSC 2022 / / Basabi Chakraborty, Arindam Biswas, and Amlan Chakrabarti, editors
| Advances in Data Science and Computing Technologies : Select Proceedings of ADSC 2022 / / Basabi Chakraborty, Arindam Biswas, and Amlan Chakrabarti, editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (738 pages) |
| Disciplina | 004 |
| Collana | Lecture Notes in Electrical Engineering Series |
| Soggetto topico | Computer science |
| ISBN | 981-9936-56-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910746977703321 |
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cybersecurity for Reconfigurable Hardware Based Critical Infrastructures
| Cybersecurity for Reconfigurable Hardware Based Critical Infrastructures |
| Autore | Guha Krishnendu |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (212 pages) |
| Altri autori (Persone) |
SinghJyoti Prakash
ChakrabartiAmlan |
| ISBN | 3-031-67591-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910896189603321 |
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Guha Krishnendu
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Management, Analytics and Innovation : Proceedings of ICDMAI 2024, Volume 1 / / edited by Neha Sharma, Amol C. Goje, Amlan Chakrabarti, Alfred M. Bruckstein
| Data Management, Analytics and Innovation : Proceedings of ICDMAI 2024, Volume 1 / / edited by Neha Sharma, Amol C. Goje, Amlan Chakrabarti, Alfred M. Bruckstein |
| Autore | Sharma Neha |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (664 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
GojeAmol C
ChakrabartiAmlan BrucksteinAlfred M |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Engineering - Data processing Big data Computational Intelligence Data Engineering Big Data |
| ISBN | 9789819732425 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- A Comprehensive Literature Review on Emerging Potentials of Machine Learning Algorithms on Geospatial Platform for Medicinal Plant Cultivation Management in Existing Scenario -- 1 Introduction -- 2 Literature Review -- 2.1 Overview on Medicinal Plant Cultivation (MPC) Management -- 2.2 Descriptive Machine Learning (M/L) Techniques for Geospatial Data Analysis -- 2.3 Findings from Literature -- 3 Proposed Framework for Medicinal Plant Cultivation Using Machine Learning Approach on Geospatial Platform -- 3.1 Phases of Medicinal Plant Cultivation -- 3.2 Machine Learning Algorithms -- 3.3 Performance Evaluation -- 4 Conclusion -- References -- Facial Features Recognition and Classification Using Machine Learning Model -- 1 Introduction -- 2 Related Works -- 3 Datasets -- 4 Proposed Method -- 4.1 Training the Machine Learning Model -- 4.2 Real-Time Detection Using Haar Cascades -- 5 Results and Discussion -- 6 Future Scope and Conclusion -- References -- An Intelligent System for Prediction of Lung Cancer Under Machine Learning Framework -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Dataset Collection -- 3.2 Feature Selection -- 3.3 Split the Dataset -- 3.4 Model Building -- 4 Result Analysis -- 4.1 Confusion Matrix -- 5 Conclusion -- References -- Identification of Misinformation Using Word Embedding Technique Word2Vec, Machine Learning, and Deep Learning Models -- 1 Introduction -- 2 Related Work -- 2.1 Background Work -- 3 Proposed Methodology -- 3.1 Dataset Description -- 4 Results and Discussion -- 4.1 Data Collection and Cleaning -- 4.2 Data Visualization -- 4.3 Feature Extraction -- 4.4 Model Selection -- 4.5 Performance Measure -- 5 Conclusion and Future Scope -- References -- Multiscript Handwriting Recognition Using RNN Transformer Architecture -- 1 Introduction.
2 Related Works -- 3 Proposed Method -- 3.1 Recurrent Neural Network (RNN) -- 3.2 Transformer Architecture -- 4 Result and Discussion -- 5 Conclusion and Future Work -- References -- Enhancing Agriculture Productivity with IoT-Enabled Predictive Analytics and Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Agile Agriculture Prototype -- 3.1 SAPS (Smart Agricultural Production System) -- 3.2 ACIS (Automated Crop Irrigation System) -- 4 Agile Agriculture Workflow -- 5 Simulation -- 6 Conclusion -- References -- Gender Gaps in the Context of Cryptocurrency Literacy: Evidence from Survey Data in Europe and Asia -- 1 Introduction -- 2 Data -- 3 Results and Discussion -- 4 Conclusion -- References -- An Optimized Machine Learning Model for Crop Yield Predication by Applying Weighted Ensemble Technique -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Optimized Ensemble Model (OEM) -- 3.1 Weight -- 3.2 Optimized Weight Calculation -- 3.3 A Weighted Optimized Ensemble Model Algorithm (OEM) -- 4 Experimental Setup -- 5 Result and Discussion -- 6 Conclusion -- References -- Crop Recommendation and Irrigation System Using Machine Learning with Integrated IoT Devices -- 1 Introduction -- 2 Literature Review -- 3 Problems with the Existing Methods -- 4 Proposed Methodology -- 5 Crop Recommendations Flow -- 6 Irrigation Flow -- 7 Implementation -- 8 Comparative Analysis -- 9 Results -- 10 Conclusion -- References -- Toward Space-Efficient Semantic Querying with Graph Databases -- 1 Introduction -- 2 Literature Survey -- 3 Methodology/Proposed Approach -- 3.1 Knowledge Graph Creation -- 3.2 Opportunity Identification -- 4 Challenges -- 5 Conclusion -- References -- Enhanced Artificial Neural Networks for Prostate Cancer Detection and Classification -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Method -- 4 Results and Discussion. 5 Conclusion -- References -- Agricultural Indicators as Predictors of Annual Water Quality: An Analysis of Interconnectedness and Prediction Using Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Data -- 3.2 Machine Learning Methods -- 4 Experiments and Results -- 4.1 Insights on Water Quality -- 4.2 Linear Regression -- 4.3 Prediction -- 5 Limitations -- 6 Conclusions and Future Work -- References -- Predicting Mental Health Disorders in the Technical Workplace: A Study on Feature Selection and Classification Algorithms -- 1 Introduction -- 2 Background -- 3 Data Exploration -- 4 Modeling of Feature Selection -- 4.1 Feature Selection Using LASSO -- 4.2 Feature Selection Using RFECV -- 4.3 Feature Selection Using RFE -- 5 Performance Evaluations -- 5.1 LASSO-Based Classification -- 5.2 Classification with RFECV -- 5.3 Classification with RFE -- 6 Results and Discussions -- 7 Conclusion -- References -- Enhancing the Detection of Fake News in Social Media: A Comparison of Support Vector Machine Algorithms, Hugging Face Transformers, and Passive Aggressive Classifier -- 1 Problem Description -- 2 Introduction -- 3 Survey of Literature -- 3.1 Support Vector Machine (SVM) [1-4] -- 3.2 Hugging Face Transformers [6, 7] -- 3.3 Passive Aggressive Classifier [8] -- 4 Comparison of Various Algorithms -- 4.1 Proposed Comparison -- 4.2 Proposal for the New Work -- 5 Methodology -- 6 Algorithm Summary -- 7 Execution Environment -- 7.1 Powerful Processing -- 7.2 Scalability -- 7.3 Flexibility -- 7.4 Ease of Use -- 7.5 Cost-Effective -- 8 Inference Based on Test Results and Outputs from Table 1 -- 8.1 Hugging Face Model -- 8.2 Passive Aggressive Classifier -- 8.3 Support Vector Machine (SVM) -- 9 Model Fine-Tuning for Hugging Face Model -- 10 Conclusion -- References. A Multifactor Authentication Framework for Usability in Education Sectors in Uganda -- 1 Introduction -- 2 Related Works -- 3 Research Methodology -- 4 Results and Discussion of Findings -- 4.1 Username/Passwords -- 4.2 Face Recognition -- 4.3 Fingerprint Authentication -- 5 Framework Design for E-MuAF -- 6 E-Assessment Multifactor Authentication Framework -- 7 Conclusion -- References -- Rank Prediction for Indian Universities Based on National Institutional Ranking Framework -- 1 Introduction -- 2 Literature Review -- 3 Problem Statement -- 4 Research Method -- 4.1 NIRF Ranking Parameters and Sub-Parameters -- 4.2 ML Algorithms Used -- 5 Result and Discussion -- 6 Conclusion -- References -- Research Paper Summarization Using Extractive Approach -- 1 Introduction -- 2 Literature Review -- 3 Design and Implementation -- 4 Results and Discussion -- 5 Conclusion -- References -- Safarnaama: User Experience-Based Travel Recommendation System -- 1 Introduction -- 2 Review of Literature -- 2.1 Gaps in Literature Survey -- 3 Design of Safarnaama -- 3.1 Architectural Design -- 3.2 Data Description -- 3.3 Cold Start Problem -- 3.4 User Interface Design -- 3.5 Algorithms and Methods Used -- 4 Performance Analysis -- 4.1 Data Collection and Pre-processing -- 4.2 Formula for Custom Recommendations -- 4.3 App Development -- 4.4 Feedback Analysis -- 4.5 Result Analysis -- 5 Conclusion and Future Scope -- References -- Handling Missing Data in Longitudinal Anthropometric Data Using Multiple Imputation Method -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Data Source -- 3.2 Imputation Methods -- 4 Pre-processing and Analysis -- 5 Experimental Results and Evaluation -- 5.1 Comparative Analysis of Imputation Methods -- 6 Conclusion -- References. From Pixels to Insight: Enhancing Metallic Component Defect Detection with GLCM Features and AI Explainability -- 1 Introduction -- 2 Methods and Methodology -- 2.1 Dataset -- 2.2 Feature Extraction -- 2.3 Training and Testing -- 3 Explainability and Shapley Additive Explanations (SHAP) Plots -- 3.1 Explainability -- 3.2 SHAP and SHAP Plots -- 3.3 Results and Discussion -- 4 Conclusions -- References -- Predicting Chronic Kidney Disease Progression Using Classification and Ensemble Learning -- 1 Introduction -- 2 Comprehensive Review -- 3 Proposed Framework -- 4 Experiment and Performance Evaluation -- 5 Performance Evaluation Metrics -- 6 Conclusions -- References -- Analyzing UNO Statistics on Land Use of Agricultural Practices by Using k-Means Clustering and SARIMA: Irrigated, Organic, and Overall Agricultural Activities on a Global Scale -- 1 Introduction -- 2 Literature Review -- 3 Data and Methods -- 4 Analysis -- 4.1 Silhouette Score -- 4.2 Limitations of k-Means Clustering -- 4.3 k-Means Clustering -- 4.4 SARIMA Prediction -- 5 Alternative Explanations for the Observed Results -- 6 Conclusion -- References -- Fruit and Vegetable Segmentation with Decision Trees -- 1 Introduction -- 2 Related Literature -- 3 Data Acquisition -- 4 Image Preprocessing -- 4.1 Image Segmentation -- 4.2 Feature Extraction -- 5 Classification -- 6 Results -- 7 Summary and Conclusion -- References -- Chatbot Development Simplified: An In-Depth Look at JIGYASABOT Platform and Alternatives -- 1 Introduction -- 2 Literature Survey -- 3 Problem Statement -- 4 Proposed Solution -- 4.1 Architecture -- 4.2 Survey Platforms Ratings and Results -- 5 Building Chatbots with JIGYASABOT -- 5.1 Design of JIGYASABOT Chatbot -- 6 Comparative Market Analysis -- 7 Use Cases and Innovations -- 8 Conclusion -- 9 Future Scope -- References. Guarding the Gateway: Data Privacy and Security in Metaverse Tourism. |
| Record Nr. | UNINA-9910874692703321 |
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Sharma Neha
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Management, Analytics and Innovation : Proceedings of ICDMAI 2023 / / edited by Neha Sharma, Amol Goje, Amlan Chakrabarti, Alfred M. Bruckstein
| Data Management, Analytics and Innovation : Proceedings of ICDMAI 2023 / / edited by Neha Sharma, Amol Goje, Amlan Chakrabarti, Alfred M. Bruckstein |
| Autore | Sharma Neha |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (1068 pages) |
| Disciplina | 005.74 |
| Altri autori (Persone) |
GojeAmol
ChakrabartiAmlan BrucksteinAlfred M |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Engineering—Data processing Big data Computational Intelligence Data Engineering Big Data |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN | 981-9914-14-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Smart System to Classify Walking and Sitting Activity based on EEG Signal -- Monitoring urban water-logging using SAR - A Mumbai case study -- Suspicious Event Detection of Cargo Vessels based on AIS Data -- Identifying Trends using Improved Affinity Propagation (IMAP) Clustering Algorithm on Evolving Data Stream -- Graphology based behavior prediction : Case study analysis -- Statistics Driven Suspicious Event Detection of Fishing Vessels based on AIS Data -- Distributed Reduced Alphabet Representation for Predicting Proinflammatory Peptides -- Prakruti Nishchitikaran of Human Body using Supervised Machine Learning Approach -- X-ABI: Towards Parameter Efficient Multilingual Adapter Based Inference for Cross-Lingual Transfer -- Comparative Study of Depth Estimation from 2-D Scene Using Deep Learning Model -- DCNN-based Transfer Learning approaches for Gender Recognition -- Analysis of Machine Learning Algorithms for COVID Detection Using Deep Learning -- Real-time learning towards assets allocation -- Named Entity Recognition over Dialogue Dataset using Pre-trained Transformers -- A Comparative Study of Distance-based Clustering Algorithms in Fuzzy Failure Modes and Effects Analysis -- Economical Solution to Automatic Evaluation of an OMR Sheet Using Image Processing -- Defense and evaluation against covert channel based attacks in Android smartphones -- From Bricks to Clicks: The Potential of Big Data Analytics for Revolutionizing the Information Landscape in Higher Education Sector -- Data science approaches to public health: case studies using routine health data from India -- Arboviral Epidemic Disease Forecasting - A Survey on Diagnostics and Outbreak Models -- Convolution Neural Network for Weed Detection -- Machine Learning Model for Brain Stock Prediction -- Analysis of Covid-19 Genome using Continuous Wavelet Transform. |
| Record Nr. | UNINA-9910728388203321 |
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Sharma Neha
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Management, Analytics and Innovation : Proceedings of ICDMAI 2021, Volume 2
| Data Management, Analytics and Innovation : Proceedings of ICDMAI 2021, Volume 2 |
| Autore | Sharma Neha |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (530 pages) |
| Altri autori (Persone) |
ChakrabartiAmlan
BalasValentina Emilia BrucksteinAlfred M |
| Collana | Lecture Notes on Data Engineering and Communications Technologies Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-2937-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Data Management, Analytics and Innovation |
| Record Nr. | UNINA-9910502645503321 |
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Sharma Neha
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| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Management, Analytics and Innovation : Proceedings of ICDMAI 2020, Volume 1 / / edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Jan Martinovic
| Data Management, Analytics and Innovation : Proceedings of ICDMAI 2020, Volume 1 / / edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Jan Martinovic |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (471 pages) : illustrations |
| Disciplina | 005.7565 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Telecommunication Big data Artificial intelligence—Data processing Artificial intelligence Computational Intelligence Communications Engineering, Networks Big Data Data Science Artificial Intelligence |
| ISBN | 981-15-5616-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Improving Microblog Clustering: Tweet Pooling Schemes -- An IoT based parking framework for smart cities -- Open Source Challenges & Opportunities -- Empirical study on the perception of accounting professionals towards awareness and adoption of IFRS in India -- On Readability Metrics of Goal Statements of Universities and Brand-promoting Lexicons for Industries -- An Efficient Recommendation System on E-Learning Platform by Query Lattice Optimization -- DengueCBC: Dengue EHR Transmission using Secure Consortium Blockchain Enabled Platform -- Online Credit Card Fraud Analytics using Machine Learning Techniques -- Identifying Major Critical Factors Faced by Tourism Industry Using Apriori Algorithm. |
| Record Nr. | UNINA-9910483964003321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Management, Analytics and Innovation : Proceedings of ICDMAI 2019, Volume 2 / / edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas
| Data Management, Analytics and Innovation : Proceedings of ICDMAI 2019, Volume 2 / / edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XII, 500 p. 229 illus., 177 illus. in color.) |
| Disciplina | 621.382 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Telecommunication
Big data Artificial intelligence - Data processing Artificial intelligence Communications Engineering, Networks Big Data Data Science Artificial Intelligence |
| ISBN | 981-13-9364-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Sequence Mining Based Support Vector Machine with Decision Tree Approach for Efficient Time Series Data Classification -- Identifying Phishing through Web Content and addressed Bar-Based Features -- A Unified Framework for Outfit Design and Advice -- Contextual Relevance of ICT-Call Modules and its Role in Promoting Employability Skills among Engineering Students - A Study -- A Clinically Applicable Automated Risk Classification model for Pulmonary Nodules -- A Generalized Ensemble Machine Learning Approach for Landslide Susceptibility Modeling -- Comparative evaluation of AVIRIS-NG and Hyperion hyperspectral image for mineral identification -- Real-Time Scheduling Approach for IoT based Home Automation System -- Floating car data map-matching utilizing Dijkstra algorithm -- Calculating AQI using Secondary Pollutants for Smart Air Management System -- Enhanced Prediction of Heart Disease using Particle Swarm Optimization and Rough Sets with Transductive Support Vector Machines Classifier -- DataCan: Robust approach for Genome Cancer Data Analysis -- DataAutism: An Early Detection Framework of Autism in Infants using Data Science -- AnaBus: A Proposed Sampling Retrieval Model for Business and Historical Data Analytics -- Abrupt Scene Change Detection using block based Local Directional Pattern -- A FRAMEWORK FOR WEB ARCHIVING AND GUARANTEED RETRIEVAL -- Business Intelligence through Big Data Analytics, Data Mining and Machine Learning -- The Effect of Big Data on the Quality of Decision-Making in Abu Dhabi Government Organisations -- The Impact of Technology Readiness on the Big Data Adoption among UAE Organizations -- Sports Data Analytics : A Case Study of Off-field Behavior of Players using Statistical Approach -- Phrase Based Information Retrieval Analysis in Various Search Engines Using Machine Learning Algorithms -- The Politics of Artificial Intelligence Behaviour and Human Rights Violation Issues in 2016 US Presidential Elections: An Appraisal -- Crop Prediction Using Artificial Neural Network and Support Vector Machine -- A Hybrid and Adaptive Approach for Classification of Indian Stock Market Related Tweets -- Generative Adversarial Networks as an Advancement in 2D to 3D Reconstruction Techniques -- Impact of Artificial Intelligence on Human Resources -- Role of Activation functions and order of input sequences in Question-Answering -- GestTalk — RealTime Gesture to Speech Conversion Glove -- Deep Learning Algorithms for Accurate Prediction of Image Description for E-Commerce Industry -- Taj-Shanvi framework for image fusion using Guided Filters -- Effective Classification & Handling of Incoming Data Packets in Mobile Adhoc Networks (MANETs) using Random Forest Ensemble Technique (RF/ET) -- Community Structure Identification in Social Networks Inspired By Parliamentary Political Competitions -- An Integrated Technique to Ensure Confidentiality and Integrity in Data Transmission through the Strongest and Authentic Hotspot Selection Mechanism -- ML Model to Improve QoS for selection of healthy channel in Wireless Sensor Network -- Performance Analysis of the Mobile WSN for Efficient localization. |
| Record Nr. | UNINA-9910366593403321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Management, Analytics and Innovation : Proceedings of ICDMAI 2019, Volume 1 / / edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas
| Data Management, Analytics and Innovation : Proceedings of ICDMAI 2019, Volume 1 / / edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (727 pages) |
| Disciplina | 005.74 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Telecommunication
Big data Artificial intelligence - Data processing Artificial intelligence Communications Engineering, Networks Big Data Data Science Artificial Intelligence |
| ISBN | 981-329-949-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Empirical Study of Soft Clustering Technique for Determining Click Through Rate in Online Advertising -- ASK Approach: A Pre-Migration Approach for Legacy Application Migration to Cloud -- A Fuzzy Logic Based Cardiovascular Disease Risk Level Prediction System in Correlation to Diabetes and Smoking -- An Integrated Fault Classification Approach for Microgrid System -- Role of Data Analytics in Human Resource Management for Prediction of Attrition Using Job Satisfaction -- A Study of Business Performance Management in Special Reference to Automobile Industry. . |
| Record Nr. | UNINA-9910366604103321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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