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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 |
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 |
|
Sharma Neha
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
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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Open data for sustainable community : glocalized sustainable development goals / / Neha Sharma, Santanu Ghosh and Monodeep Saha
| Open data for sustainable community : glocalized sustainable development goals / / Neha Sharma, Santanu Ghosh and Monodeep Saha |
| Autore | Sharma Neha |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XXIV, 299 p. 259 illus., 213 illus. in color.) |
| Disciplina | 338.927 |
| Collana | Advances in Sustainability Science and Technology |
| Soggetto topico |
Artificial intelligence
Data structures (Computer science) Computational intelligence |
| ISBN | 981-334-312-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Environment-A Fact Based Study using Tree Census and Air Pollution Data.-Chapter 2. Exploring Air Pollution and Green Cover Dataset– A Quantitative Approach -- Chapter 3. Application of Statistical Analysis in Uncovering the Spatio-Temporal Relationships between the Environmental Datasets -- Chapter 4. Environment - A Fact Based Study using Tree Census and Air Pollution Data -- Chapter 5. Analysis & Visualization of Farmer Call Center Data -- Chapter 6. Chapter 6. An Approach for Exploring New Frontiers for Optimizing Query Volume for Farmer Call Centre – KCC Query Pattern -- Chapter 7. Demand and Supply Study of Healthcare Human Resource and Infrastructure– Through the Lens of COVID 19 -- Chapter 8. COVID-19 and Indian Healthcare System-A Race Against Time -- Chapter 9. Estimating Cases for COVID-19 in India -- Chapter 10.Multi-facet Impact of Pandemic on Society. |
| Record Nr. | UNINA-9910483477503321 |
|
Sharma Neha
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| Gateway East, Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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